电网设备状态检修策略的研究
|
摘要
电网设备检修策略对确保设备健康运行、提高供电可靠性乃至整个电力系统的安全稳定性及经济性都具有重要作用。我国电网不断向着绿色电网、坚强电网迈进，并提出可靠、安全、经济、高效、环境友好和使用安全等发展目标，随之带来对电网设备生产质量与管理水平的更高要求。面对电网发展的挑战和机遇，电网设备制造业水平有了质的提高，设备性能和质量得到飞跃发展，传统的故障后检修和定期检修策略已不再适用，状态检修策略应运而生，成为提升电网设备优化管理的重要手段和技术支撑。针对目前电网设备检修工作中存在的主要问题和企业管理的实际需求，本文对电网设备状态检修策略进行系统化研究，对涉及到的状态评价、故障概率分析、风险评估、检修方案、检修计划优化以及辅助决策系统开发等问题进行深入探讨，提出了电网设备状态检修策略的完整思路和一些适用于电网设备状态检修的新评价、评估及分析算法，主要研究内容如下：
1、为解决电网设备传统状态评价中固权衍生变权概念与评价模型构建核心思想不一致问题，基于多属性多层次分析方法，提出电网设备动态变权状态评价模型。该模型突破了传统状态评价中状态参量都必须具有相同状态数这一限制条件，可根据需要对设备每个状态参量划分为不同的有限个可能的取值状态，使得每个状态参量的描述更加准确；在一定程度上保留传统AHP分析结构还原论思想的同时，还结合了整体论的分析思路，使分析过程可操作性强，且更具科学性与合理性。分别以220kV断路器和10kV架空输电线路为例进行分析计算。在理论研究基础上，采用J2EE系统框架开发了电网设备状态评价辅助决策系统，已在电力系统中试点运行。
2、针对EA经验公式在分析电网设备状态与故障概率相互关系中存在的偏差，基于非线性回归分析原理，利用电网设备状态及其故障概率的历史统计数据，提出EA经验公式的修正方法。通过跟踪收集深圳电网110kV电力电缆和广州电网10kV架空输电线路在2010-2011年期间状态评价结果和故障情况的数据，采用SPSS统计分析方法，进行样本参数估计，拟合出电网设备运行状态与其故障概率的关系曲线，并采用非线性回归相关比对修正函数进行校验。
3、在综合评价设备资产和设备故障对电网造成负荷损失基础上，实现电网设备的风险评估，制定基于设备运行风险等级的检修策略，以深圳电网110kV电力电缆为例进行了分析计算。从设备全寿命周期出发，在电网设备风险评估的基础上，提出年均费用最小的电网设备最佳检修方案的经济性分析模型。年均费用是在考虑资金时间价值的情况下由设备运行风险转化为的资金损失、运行成本和投资成本等的年均费用构成。该模型既考虑了设备自身的风险，又考虑了设备故障对电网运行造成的风险，将设备检修从传统单一的设备层面扩展到设备与电网的综合层面。以深圳电网220kV变压器为例进行了分析计算。
4、从电网设备检修工作实际需求出发，综合考虑计划检修、临时检修、故障检修等因素造成电网设备检修的初始状况，提出电网设备综合检修计划优化的多目标多约束决策分析模型。该模型结合设备健康状况，以全部待检设备具体检修时段的排列组合为决策变量，以电网运行方式、负荷水平和运行维护资源配置为约束条件，以电网经济性、可靠性和工作量均衡为联合优化目标。优化过程采用基于精英保留策略和目标函数值排序的多目标差分进化算法，高效求取全局Pareto前沿最优解集，生成多种可选方案，供电力企业进行对比分析和最终决策。以RBTS-BUS6为例进行分析计算，验证所提出模型的合理性和有效性。在理论研究的基础上，提出电网设备综合检修计划辅助决策系统的物理构架、逻辑构架与功能模块的设计思路，采用Java企业应用平台实现系统的开发。该系统通过对电网设备检修计划进行定量分析、评价和比较，自动生成优化决策方案，并具有检修计划关联自动提醒、工作量均衡分析、检修计划辅助更新以及检修设备分析评估等功能，已在电力系统中试点运行。
The maintenance strategy of power grid equipments plays a leading role in assuringhealthy operation of the equipment, improving power reliability and safety and security as wellas the economic efficiency. The power grid in China marches towards green power grid andstrong power grid and aims at realizing the development objectives of reliability, safety,economic efficiency, high efficiency and safe use, with consequently higher production qualityand management on electricity grid. Facing the challenge and opportunity of the developmentof power grid, manufacturing of power grid equipments has been improved on quality, theequipment performance and quality have been developed a lot, the conventional maintenanceafter fault and periodic maintenance strategy are not applicable and the condition-basedmaintenance and strategy comes out and become the key means and technical support foroptimization management of power grid equipments management. Aiming at main issues inthe maintenance of power grid equipments and actual demands of corporate management, thispaper systematically researches the maintenance strategy of power grid equipments, discussesthe involved condition evaluation, fault probability analysis, risk evaluation, maintenance,planned maintenance optimization and auxiliary decision-making and development, andproposes complete thoughts for maintenance of power grid equipments condition and somenew evaluation, evaluation and analysis algorithm applicable to power grid equipments, withmain researches as follows:
1. To solve the concept of fixed right evolved into varying rights in the conventionalpower grid equipment and inconsistency core thoughts of the evaluation model, based on themulti-attribute and multi-layer analysis method, propose the model for varying rights of powergrid equipments. The model breakthroughs the restriction conditions that all conditionparameters in the conventional condition evaluation must have the same condition values andeach condition parameter of the equipment shall be divided into definite probable values toenable description of each condition parameter is more accurate. This model, to some extent,reserves the Reductionism of the conventional AHP in combination with the analysis thoughtof holism, the analysis process is easily operable and more scientific and proper. Analysis andcomputation are carried out with220kV circuit breaker and10kV overhead transmission line. Based on theoretical research, the J2EE system framework is used to develop the auxiliarydecision-making system for condition of the equipment, which has been in trial operation inthe power system.
2. Based on the deviation with the EA experience formula on analyzing interrelationshipof power grid equipments condition and fault probability and the non-linearity regressionanalysis principle, with the history statistics data of power grid equipments condition and thefault probability, propose the modification method to the EA experience formula. Throughtracking and collecting the condition evaluation results and fault data of Shenzhen power grid110kV power cables and Guangzhou power grid10kV overhead transmission lines from theyear2010to2011, the SPSS statistics analysis method is applied for sample parametersestimation and compose the relationship curve on operation condition of power gridequipments and its fault probability, and the non-linearity regression relevancy ratio is used tocalibrate the modification function.
3. On the basis of evaluating the equipment assets and load losses to the power grid byequipment faults, risk evaluation of power grid equipments is carried out, and maintenancestrategy is formulated based on the operation risk level of the equipment, and analysis andcomputation is carried out with Shenzhen power grid110kV power cables. Based on the totalservice life of the equipment, based on power grid equipments risk evaluation, propose theeconomic analysis model of the optimum maintenance proposal with minimum annual averagecost. The annual average cost is the annual average cost of fund losses, operation cost,investment cost and etc. from the equipment operation risks considering the time value of thefund. This model considers its own risk of the equipment and the risk caused to the power gridby the equipment fault. Maintenance of the equipment is expanded from the conventionalsingle tier to the comprehensive tier of equipment and power grid. Analysis and computationare carried out with220kV transformers of Shenzhen power grid.
4. Based on actual demands of maintenance of power grid equipments, in consideration ofinitial condition of power grid equipments to be maintained arising from planned maintenance,provisional maintenance, fault maintenance and etc., propose the multi-objective andmulti-restriction decision-making and analysis model on optimization of comprehensivemaintenance schedule of power grid equipments. This model combines the health condition of the equipment, with the permutation and combination of the maintenance sector of theequipment to be maintained as the decision-making variants, with power grid operation mode,load level and operation and maintenance resources as the restriction conditions and the powergrid economic efficiency, reliability and working quantity as the joint optimization objective.The optimization process is the multi-objective different evolution algorithm based on the elitereservation strategy and objective function sequencing to acquire the full Pareto frontieroptimum solution sets to produce several optional proposals and offer the power enterprises forcomparison analysis and final decision-making. Take RBTS-BUS6as example for analysis andcomputation to verify reasonableness and effectiveness of the model. Based on theoreticalresearch, propose the physical structure, logic structure and function module design thoughtsfor auxiliary decision-making system of the comprehensive power grid equipment maintenanceschedule and adopt the Java corporate application platform is used for systematic development.The system automatically produces the optimized decision-making proposal by quantifiedanalysis, evaluation and comparison for maintenance of power grid equipments, and hasfunctions of automatic relevancy reminding, working quantity balance analysis, auxiliarymaintenance schedule updating and maintenance equipments analysis and evaluation and otherfunctions and has been in trial operation in the power system.
1、为解决电网设备传统状态评价中固权衍生变权概念与评价模型构建核心思想不一致问题，基于多属性多层次分析方法，提出电网设备动态变权状态评价模型。该模型突破了传统状态评价中状态参量都必须具有相同状态数这一限制条件，可根据需要对设备每个状态参量划分为不同的有限个可能的取值状态，使得每个状态参量的描述更加准确；在一定程度上保留传统AHP分析结构还原论思想的同时，还结合了整体论的分析思路，使分析过程可操作性强，且更具科学性与合理性。分别以220kV断路器和10kV架空输电线路为例进行分析计算。在理论研究基础上，采用J2EE系统框架开发了电网设备状态评价辅助决策系统，已在电力系统中试点运行。
2、针对EA经验公式在分析电网设备状态与故障概率相互关系中存在的偏差，基于非线性回归分析原理，利用电网设备状态及其故障概率的历史统计数据，提出EA经验公式的修正方法。通过跟踪收集深圳电网110kV电力电缆和广州电网10kV架空输电线路在2010-2011年期间状态评价结果和故障情况的数据，采用SPSS统计分析方法，进行样本参数估计，拟合出电网设备运行状态与其故障概率的关系曲线，并采用非线性回归相关比对修正函数进行校验。
3、在综合评价设备资产和设备故障对电网造成负荷损失基础上，实现电网设备的风险评估，制定基于设备运行风险等级的检修策略，以深圳电网110kV电力电缆为例进行了分析计算。从设备全寿命周期出发，在电网设备风险评估的基础上，提出年均费用最小的电网设备最佳检修方案的经济性分析模型。年均费用是在考虑资金时间价值的情况下由设备运行风险转化为的资金损失、运行成本和投资成本等的年均费用构成。该模型既考虑了设备自身的风险，又考虑了设备故障对电网运行造成的风险，将设备检修从传统单一的设备层面扩展到设备与电网的综合层面。以深圳电网220kV变压器为例进行了分析计算。
4、从电网设备检修工作实际需求出发，综合考虑计划检修、临时检修、故障检修等因素造成电网设备检修的初始状况，提出电网设备综合检修计划优化的多目标多约束决策分析模型。该模型结合设备健康状况，以全部待检设备具体检修时段的排列组合为决策变量，以电网运行方式、负荷水平和运行维护资源配置为约束条件，以电网经济性、可靠性和工作量均衡为联合优化目标。优化过程采用基于精英保留策略和目标函数值排序的多目标差分进化算法，高效求取全局Pareto前沿最优解集，生成多种可选方案，供电力企业进行对比分析和最终决策。以RBTS-BUS6为例进行分析计算，验证所提出模型的合理性和有效性。在理论研究的基础上，提出电网设备综合检修计划辅助决策系统的物理构架、逻辑构架与功能模块的设计思路，采用Java企业应用平台实现系统的开发。该系统通过对电网设备检修计划进行定量分析、评价和比较，自动生成优化决策方案，并具有检修计划关联自动提醒、工作量均衡分析、检修计划辅助更新以及检修设备分析评估等功能，已在电力系统中试点运行。
The maintenance strategy of power grid equipments plays a leading role in assuringhealthy operation of the equipment, improving power reliability and safety and security as wellas the economic efficiency. The power grid in China marches towards green power grid andstrong power grid and aims at realizing the development objectives of reliability, safety,economic efficiency, high efficiency and safe use, with consequently higher production qualityand management on electricity grid. Facing the challenge and opportunity of the developmentof power grid, manufacturing of power grid equipments has been improved on quality, theequipment performance and quality have been developed a lot, the conventional maintenanceafter fault and periodic maintenance strategy are not applicable and the condition-basedmaintenance and strategy comes out and become the key means and technical support foroptimization management of power grid equipments management. Aiming at main issues inthe maintenance of power grid equipments and actual demands of corporate management, thispaper systematically researches the maintenance strategy of power grid equipments, discussesthe involved condition evaluation, fault probability analysis, risk evaluation, maintenance,planned maintenance optimization and auxiliary decision-making and development, andproposes complete thoughts for maintenance of power grid equipments condition and somenew evaluation, evaluation and analysis algorithm applicable to power grid equipments, withmain researches as follows:
1. To solve the concept of fixed right evolved into varying rights in the conventionalpower grid equipment and inconsistency core thoughts of the evaluation model, based on themulti-attribute and multi-layer analysis method, propose the model for varying rights of powergrid equipments. The model breakthroughs the restriction conditions that all conditionparameters in the conventional condition evaluation must have the same condition values andeach condition parameter of the equipment shall be divided into definite probable values toenable description of each condition parameter is more accurate. This model, to some extent,reserves the Reductionism of the conventional AHP in combination with the analysis thoughtof holism, the analysis process is easily operable and more scientific and proper. Analysis andcomputation are carried out with220kV circuit breaker and10kV overhead transmission line. Based on theoretical research, the J2EE system framework is used to develop the auxiliarydecision-making system for condition of the equipment, which has been in trial operation inthe power system.
2. Based on the deviation with the EA experience formula on analyzing interrelationshipof power grid equipments condition and fault probability and the non-linearity regressionanalysis principle, with the history statistics data of power grid equipments condition and thefault probability, propose the modification method to the EA experience formula. Throughtracking and collecting the condition evaluation results and fault data of Shenzhen power grid110kV power cables and Guangzhou power grid10kV overhead transmission lines from theyear2010to2011, the SPSS statistics analysis method is applied for sample parametersestimation and compose the relationship curve on operation condition of power gridequipments and its fault probability, and the non-linearity regression relevancy ratio is used tocalibrate the modification function.
3. On the basis of evaluating the equipment assets and load losses to the power grid byequipment faults, risk evaluation of power grid equipments is carried out, and maintenancestrategy is formulated based on the operation risk level of the equipment, and analysis andcomputation is carried out with Shenzhen power grid110kV power cables. Based on the totalservice life of the equipment, based on power grid equipments risk evaluation, propose theeconomic analysis model of the optimum maintenance proposal with minimum annual averagecost. The annual average cost is the annual average cost of fund losses, operation cost,investment cost and etc. from the equipment operation risks considering the time value of thefund. This model considers its own risk of the equipment and the risk caused to the power gridby the equipment fault. Maintenance of the equipment is expanded from the conventionalsingle tier to the comprehensive tier of equipment and power grid. Analysis and computationare carried out with220kV transformers of Shenzhen power grid.
4. Based on actual demands of maintenance of power grid equipments, in consideration ofinitial condition of power grid equipments to be maintained arising from planned maintenance,provisional maintenance, fault maintenance and etc., propose the multi-objective andmulti-restriction decision-making and analysis model on optimization of comprehensivemaintenance schedule of power grid equipments. This model combines the health condition of the equipment, with the permutation and combination of the maintenance sector of theequipment to be maintained as the decision-making variants, with power grid operation mode,load level and operation and maintenance resources as the restriction conditions and the powergrid economic efficiency, reliability and working quantity as the joint optimization objective.The optimization process is the multi-objective different evolution algorithm based on the elitereservation strategy and objective function sequencing to acquire the full Pareto frontieroptimum solution sets to produce several optional proposals and offer the power enterprises forcomparison analysis and final decision-making. Take RBTS-BUS6as example for analysis andcomputation to verify reasonableness and effectiveness of the model. Based on theoreticalresearch, propose the physical structure, logic structure and function module design thoughtsfor auxiliary decision-making system of the comprehensive power grid equipment maintenanceschedule and adopt the Java corporate application platform is used for systematic development.The system automatically produces the optimized decision-making proposal by quantifiedanalysis, evaluation and comparison for maintenance of power grid equipments, and hasfunctions of automatic relevancy reminding, working quantity balance analysis, auxiliarymaintenance schedule updating and maintenance equipments analysis and evaluation and otherfunctions and has been in trial operation in the power system.
引文
[1] Obama. Remarks by the President on Recovery Act Funding for Smart GridTechnology[EB/OL].Oct.2009, http://www.whitehouse.gov/the-press-office/remarks-president-recovery-act-funding-smart-grid-technology.
[2] IEEE. IEEE provides leadership for smart grid initiative around t he globe [EB/OL].Jun.2009, http://www.ieee.org/portal/cms_docs_iportals/iportals/aboutus/news/2009/smart_grid_leadership_press_release.pdf.
[3] Alva Coueh, YizhanSun. On observed reprodueibility in network eonfigurationmanagement [J], Science of Computer Programming53(2004):215-253
[4] AnneMette, Jonassen Hass著,龚波等译.配置管理原理与实践[M].清华大学出版社,2004
[5] C.K.M.Lee, GT.S.Ho, H.C.W.Lau. A dynamic information schema for supportingproduet lifecycle management [J]. Expert Systems with applications31(2006):30-40
[6]韩吉韬,基于远程诊断和状态监测的设备综合管理模式及其实现方法研究[D].天津:天津大学,2002
[7] DIStefanoA, LoBelloL, VirtualPlant. A distributed environment for distancemonitoring and control of industrial plants [C].1997, IEEE International Conferenceon Intelligent Engineering Systems, Proeeedings,1997:445-449
[8] Leonardo Murta, Hamilton Oliveira, Cristine Dantas. Odyssey-SCM: An integratedsoftware configuration management infrastructure for UML models [J], Science ofComputer programming65(2007):249-274
[9]阿道夫.吕策尔(德)著,张友诚译,设备维修[M].中国宇航出版社,2004
[10]李葆文.国外设备管理模式及发展趋势,设备维修与管理[J].2000.7-2001.1
[11]赵涛.设备管理理论体系与发展趋势,工业工程[J].2001(6):17-18
[12]李葆文.设备管理新思维新模式[M].北京:机械工业出版社,1999
[13] DING Jin-hua, WANG Xue Jun, ZHOU Rong, et al. Maintenance andcondition-based maintenance [J]. International Jouranl of Plant Engineering andManagement,2005,10(3):160-161
[14] J.莫布雷,以可靠性为中心的维修[M].北京:机械工业出版社,2000
[15]巫世晶,设备管理工程[M].北京:中国电力出版社,2005
[16] DOE/NETL Modern Grid Team. Smart grid principal characteristics: Optimizesassets and operates efficiently [R]. v.3.0, September,2009
[17]赵保卫,对发电设备状态检修开展情况的分析与建议[J].电力学报,2006,21(1):104-107
[18] HAO Jing-sheng. Analysis of condition-based maintenance for high-valtage electricpower [J]. Jouranl of China University of Mining&Technology,2004,14(2):248-249
[19]李耀君,于新颖.火电厂设备状态检修技术[J].中国电力,2005,38(4):9-14
[20]倪瑞龙,梅挺毅.火力发电厂企业设备点检定修管理导则[M].北京:电力出版社,2004
[21]国华电力公司,发电管理系统[M].北京:电力出版社,2009
[22] Chiang J H, Yuan J. Optimal maintenance policy for a Markovian system underperiodic inspection [J]. Reliability Engineering&System Safety,2001,71(2):165-172
[23]许靖,王晶,高峰,等.电力设备状态检修技术研究综述[J].电网技术,2000.8,24(8):48-52
[24] Wolfgang Stadje, Dror Zuckerman. A generalized maintenance model for ehastieallydeteriorating equipment [J]. European Journal of Operational Researeh,96,89(2):285-301
[25] Mloubray J M. Development in reliability-centered maintenance [C]. The factoryefficiency&maintenance show and conference, NEC, Birmingham, UK,1988
[26] Electric Power Research Institute International Report [R]. RCM cost-benefitevaluation,1992
[27] Wang Xiao-cheng, Wu Song-lin, Liu Cang-yi. Theory dynamic diagnosis based onintegrated maintenance information [J]. International Journal of Plant Engineeringand management,2002,7(1):8-14
[28] Wang JohnX, Roush M L., Risk engineering and management [M], New York, Basel:Marcel Dekker. Inc.2000
[29] Yang S.K. A condition-based preventive maintenance arrangement for thermalpower plants [J]. Electric Power Systems Research,2004(72):49-62
[30] Teal.C, Sorensen.D. Condition based maintenance [C]. AIAA/IEEE Digital AvionicsSystems Conference-Proceedings,2001(1):3B21-3B27
[31]周为俊.变电设备状态检修策略及应用研究[D].保定:华北电力大学,2006
[32]杜延令.火电厂电气设备故障诊断与状态检修研究[D].武汉:武汉水利电力大学,2000
[33] Ciarapica.F.E, Giacchetta.G, Managing the condition-based maintenance of acombined-cycle power plant: An approach using soft computing techniques [J].Journal of Loss Prevention in the Process Industries,2006(4):316-325
[34] Gabbar HossamA, Yamashita, Hiroyuki. Computer-aided RCM-based plantmaintenance management system [J]. Robobics and Computer-IntegratedManufactuning,2003(5):449-458
[35] Xiaoyue Linag. Modeling and optimization of maintenance system [D]. Ph.DDissertation submitted to Graduate Department of Mechanical and IndurstralEngineering, University of Toronto,2001
[36]顾煜炯,董玉亮,杨昆.基于模糊评判和RCM分析的发电设备状态综合评价[J].中国电机工程学报,2004,24(8):189-194
[37]庄兴元.电力设备在线监测技术现状及实际开发应用前景[J].电工技术,2003
[38]刘亚芳,国内外高压SF6断路器运行状况及维修策略综述[J].电力设备,2002，3(1):26-29
[39]黄建华.变电站高压电气设备状态检修的现状及其发展[J].电力系统自动化,2001(8):56-61
[40]李明华,严璋,刘春文,等.我国供电系统状态检修开展状况统计[J].中国电力,2005,38(12):33-36
[41]广东电网公司.广东省油浸电力变压器状态检修导则[S].2000
[42]广东电网公司.高压开关状态检修导则[S].2004
[43]广东电网公司.广东电网公司设备状态评价与风险评估技术导则[S].2010
[44]青岛供电公司.青岛供电公司变电设备状态检修管理规定[S].2003
[45]张忠林.基于电力检修企业生产管理决策支持系统设计[J].兰州铁道学院学报(自然科学版),2002，21(l):118-121
[46]孙惟东,陆一春.发电设备实施状态检修的总体思路[C].电气设备状态检修和在线监测论文集,2001
[47]史进渊,杨宇,危奇,等.火电厂主设备状态检修技术的研究[J].动力工程,2002,22(6):2011-2039
[48] Geisle, K.I. A smarter greener power grid [C]. Protective Relay Engineers,2009,62nd Annual Conference for, March302009-April22009Page(s):475-477
[49] DOE/NETL. West Virginia Smart Grid Implementation Plan [R]. Revision1, August20,2009
[50] DOE/NETL Modern Grid Team. Smart grid principal characteristics: Optimizesassets and operates efficiently [R]. v.3.0, September2009
[51] Lin T, Cheng Z J. Optimal inspection policy for deteriorating system based on risk[J], Systems Engineering,2009,29(9):12-17
[52] N Gupta, T S Ramu. Estimating of Partial Discharge Parameters in GIS UsingAcoustic Emission Techniques [J]. Journal of Sound and Vibration,2001,247(2):243-260
[53] Isotupa K P S. An (s, Q) Markovian inventory system with lost sales and twodemand classes [J]. Mathematical and Computer Modeling,2006,43:687-694
[54] Hill R M. Continuous-review, lost-sales inventory models with Poisson demand, afixed lead time and no fixed order cost [J]. European Journal of OperationalResearch,2007,176:956-963
[55] WANG M, VANDERMAAR A J, SRIVASTAVA K D. Review of conditionassessment of power transformers in service [J]. IEEE Electrical InsulationMagazine,2002,18(6):122-25
[56] M Agrasar, F Uriondo, J R Hermandez, etc. A useful method for analyzing distancerelays performance during simple and inter-circuit faults in multi-circuit lines [J].IEEE Trans. On PWRD,1997,12(4):1465-1471
[57]辜超,刘民.远程变压器状态检修专家系统软件的开发[J].高电压技术,2002,28(5):43-45
[58]黄超,黄树红.火电厂状态检修中决策支持系统的研究[J].华中科技大学学报(自然科学版),2002,30(8):59-6l
[59] YANG H T, LIAO C C, CHOU J H. Fuzzy learning vector quantization networks forpower transformer condition assessment [J]. IEEE Trans on Dielectrics andElectrical Insulation,2001,8(1):143-149
[60] DOE. DOE Smart Grid System Report, July2009, http://www.oe.energy. Gov/Documentsand Media/SGSRMain_090707_lowres.pdf
[61]王谦.基于模糊理论的电力变压器运行状态综合评估方法研究[D].重庆:重庆大学,2005
[62]廖玉祥.一种电力变压器运行状态综合评估模型的研究[D].重庆:重庆大学,2006
[63]刘有为,李光范,高克利,等.制订《电气设备状态维修导则》的原则框架[J].电网技术,2003,27(6):64-67,76
[64]吴立增.变压器状态评估方法的研究[D].保定:华北电力大学,2005
[65]袁志坚,孙才新,袁张渝,等.变压器健康状态评估的灰色聚类决策方法[J].重庆大学学报（自然科学版）,2005,28(3):22-25
[66]熊浩,孙才新,张昀,等.电力变压器运行状态的灰色层次评估模型[J].电力系统自动化,2007,31(7):55-60
[67]熊浩,孙才新,杜鹏,等.基于物元理论的电力变压器状态综合评估[J].重庆大学学报（自然科学版）,2006,29(10):24-28
[68]廖瑞金,王谦,骆思佳,等.基于模糊综合评判的电力变压器运行状态评估模型[J],电力系统自动化,2008,32(3):70-75
[69] Hong-Tzer Yang, Chiung-Chou Liao, Jeng-Hong Chou, Fuzzy learning vectorquantization networks for power transformer condition assessment [J]. IEEE Transon Dielectrics and Electrical Insulation,2001,8(1):143-149
[70] Hoidalen. H.K., Runde.M., Haugland.O., et al. Continuous monitoring ofciruit-breakers using vibration analysis [J]. High Voltage Engineering,1999.Eleventh International Symposium on (Conf.Publ.No.467), Vol.1,23-27, Aug.1999,pp:102-106
[71] Smeets R P P, Kertesz V. Evaluation of high-voltage circuit breaker performancewith a validated are model[J]. IEE Proceedings-Generation,Transmission andDistribution, Vol.147, No.2,2000, pp:121-125
[72]王琛.基于知识的高压断路器故障诊断专家系统[D].大连:大连理工大学,2001
[73]于莉莉.高压断路器的在线监测与诊断系统[D].山东:山东大学,2002
[74]胡晓光,截景民,纪延超,等.基于小波奇异性检测的高压断路器故障诊断[J].中国电机工程学报,200l,21(5):67-70
[75] Lee D S S, Lighgrow B J, Morrison R E, New fault diagnosis of circuit breaker [J].IEEE Trans. on Power Delivery,2003,18:454-459
[76]孙来军,胡晓光.基于模糊神经网络的高压断路器故障诊断[J].电网技术,2006,30(增刊):476-479
[77]许大宇,李祖明,李先允,等.高压断路器状态在线监测系统研究[J].南京工程学院学报(自然科学版),2006,4(3):35-39
[78]陈伟根,李伟,陈新岗,等. SF6高压断路器状态分析的模糊综合评判方法[J].高压电器,2004,40(5):361-363
[79]李伟.基于模糊综合评判的高压断路器状态评估方法研究[D].重庆:重庆大学,2004
[80]吴娅,杨楚明,陈伟根.突变理论在高压断路器运行状态模糊综合评判中的应用[J].广东电力,2007,20(9):5-7
[81]张国钢,李宇,汤翔,等.模糊聚类分析用于断路器状态评估因素分类[J].高电压技术,2008,34(2):350-354
[82]李信. GIS局部放电特高频检测技术的研究[D].华北电力大学博士学位论文,2005
[83] Anon. Partial Discharge Testing of Gas Insulated Substations [J]. IEEE Trans. onPower Delivery,1992,7(2):499-506
[84] J S Pearson. Partial Discharge Diagnostics for Gas Insulated Substations [J]. IEEETrans. on Dielectrics and Electrical Insulation,1995,2(5):893-905
[85] N Gupta, T S Ramu. Estimating of Partial Discharge Parameters in GIS UsingAcoustic Emission Techniques [J]. Journal of Sound and Vibration,2001,247(2):243-260
[86] Su Q. Insulation Condition Assessment of HV Cables [C]. International Conferenceon Condition Monitoring and Diagnosis,2008.4.21-24, page(s):1127-1131
[87]罗俊华,周作春,李华春,等.电力电缆线路运行温度在线检测技术应用研究[J].高电压技术,2007,33(1):169-172
[88]罗华煜,关根志,易小羽.基于接地线电流法的电力电缆绝缘的在线监测[J].高电压技术,2005,31(11):63-65
[89]张文新,李华春,周作春.电力电缆运行状态的检测研究[J].电力设备,2007,8(4):39-42
[90]汤霖,王保山,熊易,等.数字式交流特高压避雷器在线监测系统[J].高电压技术,2009,35(11):2624-2628
[91]徐贞华.变电站避雷器在线监测装置的研究与实践[J].铜业工程,2010,1:91-92
[92]徐程,韩熊峰.浅谈金属氧化锌避雷器带电监测和红外诊断[J].2010,9应用技术,2010,9:173-175
[93]陈忠,郭波,蔡泽祥.提高氧化锌避雷器现场带电测试精度的新措施[J].南方电网技术,2010,4(1):95-98
[94]蔡晓波,石佳,陈小毓.基于数学形态学的金属氧化物避雷器泄漏电流在线检测方法[J],高压电器,2010,46(1):99-102
[95]刘春.基于VI的电子式电流互感器在线监测系统[D].武汉:华中科技大学,2006
[96]童悦,李红斌,张明明,等.一种全数字化高压电流互感器在线校验系统[J].电工技术学报,2010,25(8):59-64
[97]张蓬鹤,邓泽官,王龙华,等.计量用互感器在线监测系统的研制[J].电测与仪表,2010,46(523),41-44
[98]韦家旗,唐菁.电磁式电流互感器运行状态评价应用研究[J].电测与仪表.2010,47(529):51-54
[99] Bi Pengxiang, Xue Jun, Ni Jianli, etal. Practice and strategy for condition basedmaintenance of power supply equeipment[R], IEEE/PES Transmission andDistribution Conferece&Exhibition: Asia and Pacific Dalian, China,2005
[100]陈三运,谭洪恩,江志刚.输变电设备的状态检修[M].北京:中国电力出版社2004.6
[101]刘远龙.青岛供电公司变电设备状态检修项目管理研究[D].华北电力大学,2008
[102]程芸.在电力市场环境下发电企业实施状态检修的理论及实证研究[D].华北电力大学,1999
[103]陆晓春.变压器状态检修技术方案的可靠性研究[J].上海电力学院学报,2003,19(2):26-32
[104] Wang M, Vandermaar A J, Srivas tava K D. Review of condition assessment ofpower t ran sformers in service [J]. IEEE Electrical Insulation Magazine,2002,18(6):122-125
[105]刘文奇.一般变权原理与多目标决策[J].系统工程理论与实践,2000,20(3):1-11
[106] Wang Y M, Elhag T M S. An approach to avoiding rank reversal in AHP [J].Decision Support System,2006,42(3):1474-1480
[107] W ang Y M, Luo Y. On rank reversal in decision analysis [J]. Mathematical andComputer Modelling,2009,49(5-6):1221-1259
[108] Leung L C, Co D. On the efficacy of modeling multiattribute decision problemsusing AHP and Sinarchy [J]. European Journal of Operational Research,2001,132(1):39-49
[109] Ramanathan R. Data envelopment analysis for weight derivation and aggregation inthe analytic hierarehy proeess [J]. Computers&Operations Research,2006,33(5):1289-1307
[110] Stam A, Duarte Silav A P. On multiplicative priority rating methods for the AHP [J].European Journal of Operational Research,2003,145(l):92-108
[111]李德清,李洪兴.变权决策中变权效果分析与状态变权向量的确定[J].控制与决策,2004,19(11):1241-1245
[112]李德清,李洪兴.状态变权向量的性质与构造[J].北京师范大学学报:自然科学版,2002,38(4):455-461
[113]李德清,崔红梅,李洪兴.基于层次变权的多因素决策[J].系统工程学报,2004,19(3):258-263
[114]李春好,孙永河,贾艳辉,等,变权层次分析法[J].系统工程理论与实践,2010,30(4):723-731
[115] Scholl A, Manthey L, Helm R, et al. Solving multiattribute design problems withanalytic hierarchy process and conjoint analysis: An empirical comparison [J].European Journal of Operational Research,2005,164(3):760-777
[116] Moskowitz H R, Silcher M. The applications of conjoint analysis and their possibleuses in sensometries [J]. Food Quality and Preference,2006,17(3-4):145-165
[117] Ida T, Kinoshita S, Sato M. Conjoint analysis of demand for IP telephony: The easeof Japan [J]. Applied Economics,2008,40(10):1279-1287
[118] Winterfeldt D V, Edwards W. Decision Analysis and Behavioral Research [M].Cambridge: Cambridge University Press,1986
[119] Loewena P D, Wang X F. On the multiplicity of Dini subgradients in separablespaces [J]. N onlinear Analysis,2004,58(1-2): l-10
[120]任震,万官泉,黄金凤,等.电力系统可靠性原始参数的改进预测[J].电力系统自动化,2003,27(4):37-40
[121]宋云亭,郭永基,程林.电力系统可靠性基本数据的统计分析[J].继电器,2002,30(7):14-16
[122] WAL KER J. Condition based risk management [J]. Power Engineer,2003,17(1):34-35
[123] HU GHES D, DENNIS G, WAL KER J, et al. Condition based risk management(CBRM)-enabling asset condition information to be central to corporate decisionmaking//Proceedings of the1st World Congress on Engineering Asset Management,July11-14,2006, Gold Coast, Australia:1212-1217
[124]张耀辉,郭金茂,徐宗昌,等.基于故障风险的状态维修检测间隔期的确定[J].中国机械工程,2008,19(5):555-557
[125]赵振宁,陈锋.以可靠性为中心的检修在电力公司中的应用[J].华北电力技术,2002(3):20-23
[126]余杰,周浩,黄春光.以可靠性为中心的检修策略[J].高电压技术,2005,31(6):27-28
[127]朱星宇,陈勇强. SPSS多元统计分析方法及应用[M].北京:清华大学出版社,2011
[128] Wenyuan Li, Risk Assesment of Power Systems [M]. Beijing: Sciences Press,2006
[129] Paul. M. Anderson. Analysis of faulted power systems [M]. New York: IEEE Press,1995
[130] Wenyuan Li, Jiaqi Zhou, Xiaozheng Hu. Comparison of Transmission EquipmentOutage Performance in Canada, USA and China [J]. IEEE Electrical Power&Energy Conference,2008:1-8
[131] Geisle, K.I. A smarter greener power grid [C]. Protective Relay Engineers,2009,62nd Annual Conference for, March302009-April22009Page(s):475-477
[132] Berende, M.J.C., Slootweg, J.G., Kuiper, J., et al. Asset management arguments forsmart grids Smart Grids for Distribution [C],2008. IET-CIRED. CIRED Seminar,23-24June2008, Page(s):1-4
[133] Guo Weiji, Xie Jingdong, Tang Guoqing, Life Cycle Cost Analysis in ElectricalEquipment Management [J]. High voltage engineering,2003.4,29(4), Page(s):13-15,37
[134] Arisa Takehara, Hiroaki Tanaka, Takeo Shibata, et al. A New Life-Cycle Risk Map(LCRM) for Developing Maintenance Strategies for Transmission Equipment [C].Power and Energy Society General Meeting-Conversion and Delivery of ElectricalEnergy in the21st Century,2008IEEE
[135] Tsuguhiro Takahashi and Tatsuki Okamoto, Study of Maintenance Strategy SupportTools for Electric Power Apparatus [C].2008International Conference on ConditionMonitoring and Diagnosis, Beijing, China, April21-24,2008
[136] Shahidehpour, M., Ferrero, R. Time management for assets: chronological strategiesfor power system asset management [J]. Power and Energy Magazine, IEEE,Volume3, Issue3, May-June2005Page(s):32-38
[137] Guojie Zhao, Technology economics [M]. Tianjin: Tianjin University Press,2006
[138]潘乐真,张焰,俞国勤,等.状态检修决策中的电气设备故障率推算[J].电力自动化设备,2010,32(2):91-94
[139]陈丽娟,贾立雄,胡小正.2007年全国输变电设施和城市用户供电可靠性分析[J].中国电力,2008,41(5):1-8
[140]贾立雄,陈丽娟,胡小正.2006年全国输变电设施和城市用户供电可靠性分析[J].中国电力,2007,40(5):1-7
[141]陈丽娟,贾立雄.2005年全国输变电设施和城市用户供电可靠性分析[J].中国电力,2006,39(7):1-7
[142] FU Y, LI Z, SHAHIDEHPOUR M, et al. Coordination of midterm outage schedulingwith short-term security-constrained unit commitment [J]. IEEE Trans on PowerSystems,2009,24(4):1818-1830
[143] WU L, SHAHIDEHPOUR M, FU Y. Security-constrained generation andtransmission outage scheduling with uncertainties [J]. IEEE Trans on PowerSystems,2010,25(3):1674-1685
[144] FU Y, SHAHIDEHPOUR M, LI Z. Security-constrained optimal coordination ofgeneration and transmission maintenance outage scheduling [J]. IEEE Trans onPower Systems,2007,22(3):1302-1313
[145] CAMCI F. System maintenance scheduling with prognostics information usinggenetic algorithm [J]. IEEE Trans on Reliability,2009,58(3):539-552
[146]冯长有,王锡凡,别朝红,等.考虑机组故障的系统机组检修计划模型[J].电力系统自动化,2009,33(13):32-36
[147] BILLINTON R, MO R. Composite system maintenance coordination in aderegulated environment [J]. IEEE Trans on Power Systems,2005,20(1):485-492
[148] WU L, SHAHIDEHPOUR M, LI T. GENCO’s risk-based maintenance outagescheduling [J]. IEEE Trans on Power Systems,2008,23(1):127-136
[149] ALEKSANDAR D J, DRAGAN S P. Selective maintenance schedule of distributionnetworks based on risk management approach [J]. IEEE Trans on Power Systems,2007,22(2):597-604
[150]潘乐真,鲁国起,张焰,等.基于风险综合评判的设备状态检修决策优化[J].电力系统自动化,2010,34(11):28-32,34
[151]黄弦超,张粒子,舒隽,等.配电网检修计划优化模型[J].电力系统自动化,2007,31(1):33-37
[152] VARADARAJAN M, SWARUP K.S. Solving multi-objective optimal power flowusing differential evolution [J]. IET Gener. Trans Distrib.,2008,2(5):720-730
[153]周辉仁,唐万生,王海龙.基于差分进化算法的多旅行商问题优化[J].系统工程理论与实践,2010,30(8):1471-1476
[154]吴亮红.差分进化算法及应用研究[D].长沙:湖南大学,2007
[155] C.A.Coello. Evolutionary multi-objective optimization: a historical view of the field[J]. IEEE Computational Intelligence Magazine,2006,1(1):28-36
[156]吴亮红,王耀南,袁小芳,等.多目标优化问题的差分进化算法研究[J].湖南大学学报(自然科学版),2009,36(2):53-57
[157] H.A.Abbass, R.Sarker. The pareto differential evolution algorithm [J]. InternationalJournal on Artificial Intelligence Tools,2002,11(4):531-552
[158]谢莹华,王成山.基于馈线分区的中压配电系统可靠性评估[J].中国电机工程学报,2004,24(5):35-39
[2] IEEE. IEEE provides leadership for smart grid initiative around t he globe [EB/OL].Jun.2009, http://www.ieee.org/portal/cms_docs_iportals/iportals/aboutus/news/2009/smart_grid_leadership_press_release.pdf.
[3] Alva Coueh, YizhanSun. On observed reprodueibility in network eonfigurationmanagement [J], Science of Computer Programming53(2004):215-253
[4] AnneMette, Jonassen Hass著,龚波等译.配置管理原理与实践[M].清华大学出版社,2004
[5] C.K.M.Lee, GT.S.Ho, H.C.W.Lau. A dynamic information schema for supportingproduet lifecycle management [J]. Expert Systems with applications31(2006):30-40
[6]韩吉韬,基于远程诊断和状态监测的设备综合管理模式及其实现方法研究[D].天津:天津大学,2002
[7] DIStefanoA, LoBelloL, VirtualPlant. A distributed environment for distancemonitoring and control of industrial plants [C].1997, IEEE International Conferenceon Intelligent Engineering Systems, Proeeedings,1997:445-449
[8] Leonardo Murta, Hamilton Oliveira, Cristine Dantas. Odyssey-SCM: An integratedsoftware configuration management infrastructure for UML models [J], Science ofComputer programming65(2007):249-274
[9]阿道夫.吕策尔(德)著,张友诚译,设备维修[M].中国宇航出版社,2004
[10]李葆文.国外设备管理模式及发展趋势,设备维修与管理[J].2000.7-2001.1
[11]赵涛.设备管理理论体系与发展趋势,工业工程[J].2001(6):17-18
[12]李葆文.设备管理新思维新模式[M].北京:机械工业出版社,1999
[13] DING Jin-hua, WANG Xue Jun, ZHOU Rong, et al. Maintenance andcondition-based maintenance [J]. International Jouranl of Plant Engineering andManagement,2005,10(3):160-161
[14] J.莫布雷,以可靠性为中心的维修[M].北京:机械工业出版社,2000
[15]巫世晶,设备管理工程[M].北京:中国电力出版社,2005
[16] DOE/NETL Modern Grid Team. Smart grid principal characteristics: Optimizesassets and operates efficiently [R]. v.3.0, September,2009
[17]赵保卫,对发电设备状态检修开展情况的分析与建议[J].电力学报,2006,21(1):104-107
[18] HAO Jing-sheng. Analysis of condition-based maintenance for high-valtage electricpower [J]. Jouranl of China University of Mining&Technology,2004,14(2):248-249
[19]李耀君,于新颖.火电厂设备状态检修技术[J].中国电力,2005,38(4):9-14
[20]倪瑞龙,梅挺毅.火力发电厂企业设备点检定修管理导则[M].北京:电力出版社,2004
[21]国华电力公司,发电管理系统[M].北京:电力出版社,2009
[22] Chiang J H, Yuan J. Optimal maintenance policy for a Markovian system underperiodic inspection [J]. Reliability Engineering&System Safety,2001,71(2):165-172
[23]许靖,王晶,高峰,等.电力设备状态检修技术研究综述[J].电网技术,2000.8,24(8):48-52
[24] Wolfgang Stadje, Dror Zuckerman. A generalized maintenance model for ehastieallydeteriorating equipment [J]. European Journal of Operational Researeh,96,89(2):285-301
[25] Mloubray J M. Development in reliability-centered maintenance [C]. The factoryefficiency&maintenance show and conference, NEC, Birmingham, UK,1988
[26] Electric Power Research Institute International Report [R]. RCM cost-benefitevaluation,1992
[27] Wang Xiao-cheng, Wu Song-lin, Liu Cang-yi. Theory dynamic diagnosis based onintegrated maintenance information [J]. International Journal of Plant Engineeringand management,2002,7(1):8-14
[28] Wang JohnX, Roush M L., Risk engineering and management [M], New York, Basel:Marcel Dekker. Inc.2000
[29] Yang S.K. A condition-based preventive maintenance arrangement for thermalpower plants [J]. Electric Power Systems Research,2004(72):49-62
[30] Teal.C, Sorensen.D. Condition based maintenance [C]. AIAA/IEEE Digital AvionicsSystems Conference-Proceedings,2001(1):3B21-3B27
[31]周为俊.变电设备状态检修策略及应用研究[D].保定:华北电力大学,2006
[32]杜延令.火电厂电气设备故障诊断与状态检修研究[D].武汉:武汉水利电力大学,2000
[33] Ciarapica.F.E, Giacchetta.G, Managing the condition-based maintenance of acombined-cycle power plant: An approach using soft computing techniques [J].Journal of Loss Prevention in the Process Industries,2006(4):316-325
[34] Gabbar HossamA, Yamashita, Hiroyuki. Computer-aided RCM-based plantmaintenance management system [J]. Robobics and Computer-IntegratedManufactuning,2003(5):449-458
[35] Xiaoyue Linag. Modeling and optimization of maintenance system [D]. Ph.DDissertation submitted to Graduate Department of Mechanical and IndurstralEngineering, University of Toronto,2001
[36]顾煜炯,董玉亮,杨昆.基于模糊评判和RCM分析的发电设备状态综合评价[J].中国电机工程学报,2004,24(8):189-194
[37]庄兴元.电力设备在线监测技术现状及实际开发应用前景[J].电工技术,2003
[38]刘亚芳,国内外高压SF6断路器运行状况及维修策略综述[J].电力设备,2002，3(1):26-29
[39]黄建华.变电站高压电气设备状态检修的现状及其发展[J].电力系统自动化,2001(8):56-61
[40]李明华,严璋,刘春文,等.我国供电系统状态检修开展状况统计[J].中国电力,2005,38(12):33-36
[41]广东电网公司.广东省油浸电力变压器状态检修导则[S].2000
[42]广东电网公司.高压开关状态检修导则[S].2004
[43]广东电网公司.广东电网公司设备状态评价与风险评估技术导则[S].2010
[44]青岛供电公司.青岛供电公司变电设备状态检修管理规定[S].2003
[45]张忠林.基于电力检修企业生产管理决策支持系统设计[J].兰州铁道学院学报(自然科学版),2002，21(l):118-121
[46]孙惟东,陆一春.发电设备实施状态检修的总体思路[C].电气设备状态检修和在线监测论文集,2001
[47]史进渊,杨宇,危奇,等.火电厂主设备状态检修技术的研究[J].动力工程,2002,22(6):2011-2039
[48] Geisle, K.I. A smarter greener power grid [C]. Protective Relay Engineers,2009,62nd Annual Conference for, March302009-April22009Page(s):475-477
[49] DOE/NETL. West Virginia Smart Grid Implementation Plan [R]. Revision1, August20,2009
[50] DOE/NETL Modern Grid Team. Smart grid principal characteristics: Optimizesassets and operates efficiently [R]. v.3.0, September2009
[51] Lin T, Cheng Z J. Optimal inspection policy for deteriorating system based on risk[J], Systems Engineering,2009,29(9):12-17
[52] N Gupta, T S Ramu. Estimating of Partial Discharge Parameters in GIS UsingAcoustic Emission Techniques [J]. Journal of Sound and Vibration,2001,247(2):243-260
[53] Isotupa K P S. An (s, Q) Markovian inventory system with lost sales and twodemand classes [J]. Mathematical and Computer Modeling,2006,43:687-694
[54] Hill R M. Continuous-review, lost-sales inventory models with Poisson demand, afixed lead time and no fixed order cost [J]. European Journal of OperationalResearch,2007,176:956-963
[55] WANG M, VANDERMAAR A J, SRIVASTAVA K D. Review of conditionassessment of power transformers in service [J]. IEEE Electrical InsulationMagazine,2002,18(6):122-25
[56] M Agrasar, F Uriondo, J R Hermandez, etc. A useful method for analyzing distancerelays performance during simple and inter-circuit faults in multi-circuit lines [J].IEEE Trans. On PWRD,1997,12(4):1465-1471
[57]辜超,刘民.远程变压器状态检修专家系统软件的开发[J].高电压技术,2002,28(5):43-45
[58]黄超,黄树红.火电厂状态检修中决策支持系统的研究[J].华中科技大学学报(自然科学版),2002,30(8):59-6l
[59] YANG H T, LIAO C C, CHOU J H. Fuzzy learning vector quantization networks forpower transformer condition assessment [J]. IEEE Trans on Dielectrics andElectrical Insulation,2001,8(1):143-149
[60] DOE. DOE Smart Grid System Report, July2009, http://www.oe.energy. Gov/Documentsand Media/SGSRMain_090707_lowres.pdf
[61]王谦.基于模糊理论的电力变压器运行状态综合评估方法研究[D].重庆:重庆大学,2005
[62]廖玉祥.一种电力变压器运行状态综合评估模型的研究[D].重庆:重庆大学,2006
[63]刘有为,李光范,高克利,等.制订《电气设备状态维修导则》的原则框架[J].电网技术,2003,27(6):64-67,76
[64]吴立增.变压器状态评估方法的研究[D].保定:华北电力大学,2005
[65]袁志坚,孙才新,袁张渝,等.变压器健康状态评估的灰色聚类决策方法[J].重庆大学学报（自然科学版）,2005,28(3):22-25
[66]熊浩,孙才新,张昀,等.电力变压器运行状态的灰色层次评估模型[J].电力系统自动化,2007,31(7):55-60
[67]熊浩,孙才新,杜鹏,等.基于物元理论的电力变压器状态综合评估[J].重庆大学学报（自然科学版）,2006,29(10):24-28
[68]廖瑞金,王谦,骆思佳,等.基于模糊综合评判的电力变压器运行状态评估模型[J],电力系统自动化,2008,32(3):70-75
[69] Hong-Tzer Yang, Chiung-Chou Liao, Jeng-Hong Chou, Fuzzy learning vectorquantization networks for power transformer condition assessment [J]. IEEE Transon Dielectrics and Electrical Insulation,2001,8(1):143-149
[70] Hoidalen. H.K., Runde.M., Haugland.O., et al. Continuous monitoring ofciruit-breakers using vibration analysis [J]. High Voltage Engineering,1999.Eleventh International Symposium on (Conf.Publ.No.467), Vol.1,23-27, Aug.1999,pp:102-106
[71] Smeets R P P, Kertesz V. Evaluation of high-voltage circuit breaker performancewith a validated are model[J]. IEE Proceedings-Generation,Transmission andDistribution, Vol.147, No.2,2000, pp:121-125
[72]王琛.基于知识的高压断路器故障诊断专家系统[D].大连:大连理工大学,2001
[73]于莉莉.高压断路器的在线监测与诊断系统[D].山东:山东大学,2002
[74]胡晓光,截景民,纪延超,等.基于小波奇异性检测的高压断路器故障诊断[J].中国电机工程学报,200l,21(5):67-70
[75] Lee D S S, Lighgrow B J, Morrison R E, New fault diagnosis of circuit breaker [J].IEEE Trans. on Power Delivery,2003,18:454-459
[76]孙来军,胡晓光.基于模糊神经网络的高压断路器故障诊断[J].电网技术,2006,30(增刊):476-479
[77]许大宇,李祖明,李先允,等.高压断路器状态在线监测系统研究[J].南京工程学院学报(自然科学版),2006,4(3):35-39
[78]陈伟根,李伟,陈新岗,等. SF6高压断路器状态分析的模糊综合评判方法[J].高压电器,2004,40(5):361-363
[79]李伟.基于模糊综合评判的高压断路器状态评估方法研究[D].重庆:重庆大学,2004
[80]吴娅,杨楚明,陈伟根.突变理论在高压断路器运行状态模糊综合评判中的应用[J].广东电力,2007,20(9):5-7
[81]张国钢,李宇,汤翔,等.模糊聚类分析用于断路器状态评估因素分类[J].高电压技术,2008,34(2):350-354
[82]李信. GIS局部放电特高频检测技术的研究[D].华北电力大学博士学位论文,2005
[83] Anon. Partial Discharge Testing of Gas Insulated Substations [J]. IEEE Trans. onPower Delivery,1992,7(2):499-506
[84] J S Pearson. Partial Discharge Diagnostics for Gas Insulated Substations [J]. IEEETrans. on Dielectrics and Electrical Insulation,1995,2(5):893-905
[85] N Gupta, T S Ramu. Estimating of Partial Discharge Parameters in GIS UsingAcoustic Emission Techniques [J]. Journal of Sound and Vibration,2001,247(2):243-260
[86] Su Q. Insulation Condition Assessment of HV Cables [C]. International Conferenceon Condition Monitoring and Diagnosis,2008.4.21-24, page(s):1127-1131
[87]罗俊华,周作春,李华春,等.电力电缆线路运行温度在线检测技术应用研究[J].高电压技术,2007,33(1):169-172
[88]罗华煜,关根志,易小羽.基于接地线电流法的电力电缆绝缘的在线监测[J].高电压技术,2005,31(11):63-65
[89]张文新,李华春,周作春.电力电缆运行状态的检测研究[J].电力设备,2007,8(4):39-42
[90]汤霖,王保山,熊易,等.数字式交流特高压避雷器在线监测系统[J].高电压技术,2009,35(11):2624-2628
[91]徐贞华.变电站避雷器在线监测装置的研究与实践[J].铜业工程,2010,1:91-92
[92]徐程,韩熊峰.浅谈金属氧化锌避雷器带电监测和红外诊断[J].2010,9应用技术,2010,9:173-175
[93]陈忠,郭波,蔡泽祥.提高氧化锌避雷器现场带电测试精度的新措施[J].南方电网技术,2010,4(1):95-98
[94]蔡晓波,石佳,陈小毓.基于数学形态学的金属氧化物避雷器泄漏电流在线检测方法[J],高压电器,2010,46(1):99-102
[95]刘春.基于VI的电子式电流互感器在线监测系统[D].武汉:华中科技大学,2006
[96]童悦,李红斌,张明明,等.一种全数字化高压电流互感器在线校验系统[J].电工技术学报,2010,25(8):59-64
[97]张蓬鹤,邓泽官,王龙华,等.计量用互感器在线监测系统的研制[J].电测与仪表,2010,46(523),41-44
[98]韦家旗,唐菁.电磁式电流互感器运行状态评价应用研究[J].电测与仪表.2010,47(529):51-54
[99] Bi Pengxiang, Xue Jun, Ni Jianli, etal. Practice and strategy for condition basedmaintenance of power supply equeipment[R], IEEE/PES Transmission andDistribution Conferece&Exhibition: Asia and Pacific Dalian, China,2005
[100]陈三运,谭洪恩,江志刚.输变电设备的状态检修[M].北京:中国电力出版社2004.6
[101]刘远龙.青岛供电公司变电设备状态检修项目管理研究[D].华北电力大学,2008
[102]程芸.在电力市场环境下发电企业实施状态检修的理论及实证研究[D].华北电力大学,1999
[103]陆晓春.变压器状态检修技术方案的可靠性研究[J].上海电力学院学报,2003,19(2):26-32
[104] Wang M, Vandermaar A J, Srivas tava K D. Review of condition assessment ofpower t ran sformers in service [J]. IEEE Electrical Insulation Magazine,2002,18(6):122-125
[105]刘文奇.一般变权原理与多目标决策[J].系统工程理论与实践,2000,20(3):1-11
[106] Wang Y M, Elhag T M S. An approach to avoiding rank reversal in AHP [J].Decision Support System,2006,42(3):1474-1480
[107] W ang Y M, Luo Y. On rank reversal in decision analysis [J]. Mathematical andComputer Modelling,2009,49(5-6):1221-1259
[108] Leung L C, Co D. On the efficacy of modeling multiattribute decision problemsusing AHP and Sinarchy [J]. European Journal of Operational Research,2001,132(1):39-49
[109] Ramanathan R. Data envelopment analysis for weight derivation and aggregation inthe analytic hierarehy proeess [J]. Computers&Operations Research,2006,33(5):1289-1307
[110] Stam A, Duarte Silav A P. On multiplicative priority rating methods for the AHP [J].European Journal of Operational Research,2003,145(l):92-108
[111]李德清,李洪兴.变权决策中变权效果分析与状态变权向量的确定[J].控制与决策,2004,19(11):1241-1245
[112]李德清,李洪兴.状态变权向量的性质与构造[J].北京师范大学学报:自然科学版,2002,38(4):455-461
[113]李德清,崔红梅,李洪兴.基于层次变权的多因素决策[J].系统工程学报,2004,19(3):258-263
[114]李春好,孙永河,贾艳辉,等,变权层次分析法[J].系统工程理论与实践,2010,30(4):723-731
[115] Scholl A, Manthey L, Helm R, et al. Solving multiattribute design problems withanalytic hierarchy process and conjoint analysis: An empirical comparison [J].European Journal of Operational Research,2005,164(3):760-777
[116] Moskowitz H R, Silcher M. The applications of conjoint analysis and their possibleuses in sensometries [J]. Food Quality and Preference,2006,17(3-4):145-165
[117] Ida T, Kinoshita S, Sato M. Conjoint analysis of demand for IP telephony: The easeof Japan [J]. Applied Economics,2008,40(10):1279-1287
[118] Winterfeldt D V, Edwards W. Decision Analysis and Behavioral Research [M].Cambridge: Cambridge University Press,1986
[119] Loewena P D, Wang X F. On the multiplicity of Dini subgradients in separablespaces [J]. N onlinear Analysis,2004,58(1-2): l-10
[120]任震,万官泉,黄金凤,等.电力系统可靠性原始参数的改进预测[J].电力系统自动化,2003,27(4):37-40
[121]宋云亭,郭永基,程林.电力系统可靠性基本数据的统计分析[J].继电器,2002,30(7):14-16
[122] WAL KER J. Condition based risk management [J]. Power Engineer,2003,17(1):34-35
[123] HU GHES D, DENNIS G, WAL KER J, et al. Condition based risk management(CBRM)-enabling asset condition information to be central to corporate decisionmaking//Proceedings of the1st World Congress on Engineering Asset Management,July11-14,2006, Gold Coast, Australia:1212-1217
[124]张耀辉,郭金茂,徐宗昌,等.基于故障风险的状态维修检测间隔期的确定[J].中国机械工程,2008,19(5):555-557
[125]赵振宁,陈锋.以可靠性为中心的检修在电力公司中的应用[J].华北电力技术,2002(3):20-23
[126]余杰,周浩,黄春光.以可靠性为中心的检修策略[J].高电压技术,2005,31(6):27-28
[127]朱星宇,陈勇强. SPSS多元统计分析方法及应用[M].北京:清华大学出版社,2011
[128] Wenyuan Li, Risk Assesment of Power Systems [M]. Beijing: Sciences Press,2006
[129] Paul. M. Anderson. Analysis of faulted power systems [M]. New York: IEEE Press,1995
[130] Wenyuan Li, Jiaqi Zhou, Xiaozheng Hu. Comparison of Transmission EquipmentOutage Performance in Canada, USA and China [J]. IEEE Electrical Power&Energy Conference,2008:1-8
[131] Geisle, K.I. A smarter greener power grid [C]. Protective Relay Engineers,2009,62nd Annual Conference for, March302009-April22009Page(s):475-477
[132] Berende, M.J.C., Slootweg, J.G., Kuiper, J., et al. Asset management arguments forsmart grids Smart Grids for Distribution [C],2008. IET-CIRED. CIRED Seminar,23-24June2008, Page(s):1-4
[133] Guo Weiji, Xie Jingdong, Tang Guoqing, Life Cycle Cost Analysis in ElectricalEquipment Management [J]. High voltage engineering,2003.4,29(4), Page(s):13-15,37
[134] Arisa Takehara, Hiroaki Tanaka, Takeo Shibata, et al. A New Life-Cycle Risk Map(LCRM) for Developing Maintenance Strategies for Transmission Equipment [C].Power and Energy Society General Meeting-Conversion and Delivery of ElectricalEnergy in the21st Century,2008IEEE
[135] Tsuguhiro Takahashi and Tatsuki Okamoto, Study of Maintenance Strategy SupportTools for Electric Power Apparatus [C].2008International Conference on ConditionMonitoring and Diagnosis, Beijing, China, April21-24,2008
[136] Shahidehpour, M., Ferrero, R. Time management for assets: chronological strategiesfor power system asset management [J]. Power and Energy Magazine, IEEE,Volume3, Issue3, May-June2005Page(s):32-38
[137] Guojie Zhao, Technology economics [M]. Tianjin: Tianjin University Press,2006
[138]潘乐真,张焰,俞国勤,等.状态检修决策中的电气设备故障率推算[J].电力自动化设备,2010,32(2):91-94
[139]陈丽娟,贾立雄,胡小正.2007年全国输变电设施和城市用户供电可靠性分析[J].中国电力,2008,41(5):1-8
[140]贾立雄,陈丽娟,胡小正.2006年全国输变电设施和城市用户供电可靠性分析[J].中国电力,2007,40(5):1-7
[141]陈丽娟,贾立雄.2005年全国输变电设施和城市用户供电可靠性分析[J].中国电力,2006,39(7):1-7
[142] FU Y, LI Z, SHAHIDEHPOUR M, et al. Coordination of midterm outage schedulingwith short-term security-constrained unit commitment [J]. IEEE Trans on PowerSystems,2009,24(4):1818-1830
[143] WU L, SHAHIDEHPOUR M, FU Y. Security-constrained generation andtransmission outage scheduling with uncertainties [J]. IEEE Trans on PowerSystems,2010,25(3):1674-1685
[144] FU Y, SHAHIDEHPOUR M, LI Z. Security-constrained optimal coordination ofgeneration and transmission maintenance outage scheduling [J]. IEEE Trans onPower Systems,2007,22(3):1302-1313
[145] CAMCI F. System maintenance scheduling with prognostics information usinggenetic algorithm [J]. IEEE Trans on Reliability,2009,58(3):539-552
[146]冯长有,王锡凡,别朝红,等.考虑机组故障的系统机组检修计划模型[J].电力系统自动化,2009,33(13):32-36
[147] BILLINTON R, MO R. Composite system maintenance coordination in aderegulated environment [J]. IEEE Trans on Power Systems,2005,20(1):485-492
[148] WU L, SHAHIDEHPOUR M, LI T. GENCO’s risk-based maintenance outagescheduling [J]. IEEE Trans on Power Systems,2008,23(1):127-136
[149] ALEKSANDAR D J, DRAGAN S P. Selective maintenance schedule of distributionnetworks based on risk management approach [J]. IEEE Trans on Power Systems,2007,22(2):597-604
[150]潘乐真,鲁国起,张焰,等.基于风险综合评判的设备状态检修决策优化[J].电力系统自动化,2010,34(11):28-32,34
[151]黄弦超,张粒子,舒隽,等.配电网检修计划优化模型[J].电力系统自动化,2007,31(1):33-37
[152] VARADARAJAN M, SWARUP K.S. Solving multi-objective optimal power flowusing differential evolution [J]. IET Gener. Trans Distrib.,2008,2(5):720-730
[153]周辉仁,唐万生,王海龙.基于差分进化算法的多旅行商问题优化[J].系统工程理论与实践,2010,30(8):1471-1476
[154]吴亮红.差分进化算法及应用研究[D].长沙:湖南大学,2007
[155] C.A.Coello. Evolutionary multi-objective optimization: a historical view of the field[J]. IEEE Computational Intelligence Magazine,2006,1(1):28-36
[156]吴亮红,王耀南,袁小芳,等.多目标优化问题的差分进化算法研究[J].湖南大学学报(自然科学版),2009,36(2):53-57
[157] H.A.Abbass, R.Sarker. The pareto differential evolution algorithm [J]. InternationalJournal on Artificial Intelligence Tools,2002,11(4):531-552
[158]谢莹华,王成山.基于馈线分区的中压配电系统可靠性评估[J].中国电机工程学报,2004,24(5):35-39