基于组合赋权和理想区间法的真空断路器状态评估
|
摘要
客观合理地评估断路器运行状态是提高设备运行可靠性、保证电力系统安全稳定运行的重要手段。通过将真空断路器评价标准处理为理想区间数概念,提出了基于组合赋权思想的理想区间法来评估断路器状态。首先针对单一赋权方法的局限性,采取基于灰关联度思想的改进方法确定指标主观权重,基于数据变异度的熵权法得到客观权值,同时引入矩估计理论建立二者偏差最小的规划方程组以求出指标最优组合权重;再运用多目标决策的理想区间法计算待评样本与标准理想区间的距离值,倒代换归一化处理后根据择近原则得出断路器评估等级。算例表明,该方法有效可行,适合供断路器进一步维修工作指导。
Evaluating circuit breaker operation state objectively and reasonably is an important approach to improving its operation reliability and ensure the safe and stable operation of power system. In order to evaluate the operation state of circuit breaker, an ideal interval method and combination weighting approach is proposed by treating the evaluation criterion as ideal interval number concept. Firstly, considering the limitations of a single weighting method, the subjective weights are determined by using improvement method of gray correlation degree and the objective weights are determined by using entropy method. On this basis, the method of moments estimator is introduced in order to obtain the optimal combination of subjective and objective weights through solving the minimum deviation optimal function. Then in the proposed method, the distance between the evaluated sample and the standard ideal interval is calculated by means of ideal interval, and the evaluation level of circuit breaker is determined according to the principle of selecting nearest after the distance value gets inverted substitution and normalization. Finally, the cases are presented to verify the feasibility and validity of this proposed method, and it is suitable to provide guidance for the further maintenance work of circuit breaker.
Evaluating circuit breaker operation state objectively and reasonably is an important approach to improving its operation reliability and ensure the safe and stable operation of power system. In order to evaluate the operation state of circuit breaker, an ideal interval method and combination weighting approach is proposed by treating the evaluation criterion as ideal interval number concept. Firstly, considering the limitations of a single weighting method, the subjective weights are determined by using improvement method of gray correlation degree and the objective weights are determined by using entropy method. On this basis, the method of moments estimator is introduced in order to obtain the optimal combination of subjective and objective weights through solving the minimum deviation optimal function. Then in the proposed method, the distance between the evaluated sample and the standard ideal interval is calculated by means of ideal interval, and the evaluation level of circuit breaker is determined according to the principle of selecting nearest after the distance value gets inverted substitution and normalization. Finally, the cases are presented to verify the feasibility and validity of this proposed method, and it is suitable to provide guidance for the further maintenance work of circuit breaker.
引文
[1]李海英,冯东,宋建成.中压真空断路器的模糊一证据理论在线状态评估模型[J].高压电器,2013,49(1):40-44.LI Haiying, FENG Dong, SONG Jiancheng. Fuzzy-DS evidence theory online assessment model of mv vacuum circuit breaker[J]. High Voltage Apparatus,2013,49(1):40-44.
[2]国连玉,李可军,梁永亮,等.基于灰色模糊综合评判的高压断路器状态评估[J].电力自动化设备,2014,34(11):161-167.GUO Lianyu, LI Kejun, LIANG Yongliang, et al. HV circuit breaker state assessment based on gray-fuzzy comprehensive evaluation[J]. Electric Power Automation Equipment, 2014,34(11):161-167.
[3]常怡东,张开轩,金潇,等.基于物元可拓理论的高压断路器状态评估方法[J].高压电器,2017,53(9):109-112.CHANG Yidong, ZHANG Kaixuan, JIN Xiao, et al. Condition assessment of high voltage circuit breaker based on matter-element extension theory[J]. High Voltage Apparatus, 2017,53(9):109-112.
[4]李济沅,邱玉婷,于竞哲,等.基于灰色关联度和TOPSIS的真空断路器运行状态综合评估[J].高压电器,2017,53(3):242-245.LI Jiyuan, QIU Yuting, YU Jingzhe, et al. State complex evaluation of vacuum circuit breaker based on grey correlation degree and TOPSIS method[J]. High Voltage Apparatus, 2017,53(3):242-245.
[5]陈朋永,宋晓磊,陈云飞,等.SF_6高压断路器运行状态模糊综合评估[J].高压电器,2016,52(3):172-175.CHEN Pengyong,SONG Xiaolei,CHEN Yunfei,et al. Fuzzycomprehensive evaluation on the operation conditions of high voltage circuit breaker[J]. High Voltage Apparatus,2016,52(3):172-175.
[6]郑涛,卢婷.基于云物元分析理论的真空断路器运行状态综合评判方法[J].华东电力,2014,42(4):646-650.ZHENG Tao, LU Ting. Condition assessment of vacuum circuit breakers based on cloud matter element analysis theory[J]. East China Electric Power,2014,42(4):646-650.
[7]杨志超,张成龙,葛乐,等.基于熵权法的绝缘子污闪状态模糊综合评价[J].电力自动化设备,2014,34(4):90-94.YANG Zhichao, ZHANG Chenglong, GE Le, et al.Comprehensive fuzzy evaluation based on entropy weight method for insulator flash over pollution[J]. Electric Power Automation Equipment,2014,34(4):90-94.
[8]李海英,冯东,宋建成.中压真空断路器状态的雷达图法评估模型[J].电网技术,2013,37(7):2053-2056.LI Haiying, FENG Dong, SONG Jiancheng. Condition-based assessment model of MV vacuum circuit breaker with radar chart method[J]. Power System Technology,2013,37(7):2053-2056.
[9]宋锦刚.基于振动信号小波包提取和相似性原则的高压开关设备振动监测[J].电网技术,2010,34(4):189-193.SONG Jingang. Vibration monitoring of high-voltage circuit breakers based on vibration signal extraction by wavelet packets and similarity principle[J]. Power System Technology, 2010,34(4):189-193.
[10]陈怀金.基于振动分析的高压断路器机械故障诊断研究[D].吉林:东北电力大学,2017:13-22.CHEN Huaijin. Research on mechanical fault diagnosis of high voltage circuit breakers based on vibration analysis[D].Jilin:Northeast Electric Power University,2017:13-22.
[11]黎斌.断路器电寿命的折算、限值及其在线监测技术[J].高压电器,2005,41(6):428-433.LI Bin. Conversion, limit and on-line monitoring technology of electrical endurance for circuit breakers[J]. High Voltage Apparatus,2005,41(6):428-433.
[12]郭磊,郭创新,曹一家,等.考虑断路器在线状态的电网风险评估方法[J].电力系统自动化,2012,36(16):20-24.GUO Lei, GUO Chuangxin, CAO Yijia, et al. Power transmission risk assessment considering breaker online status[J].Automation of Electric Power Systems, 2012,36(16):20-24.
[13]陈昌龙,邹积岩.基于比例差分探头的真空灭弧室真空度在线监测[J].高压电器,2009,45(6):124-127.CHEN Changlong, ZOU Jiyan. On-line monitoring of vacuum degree in vacuum interrupters based on proportional difference electric field detectors[J]. High Voltage Apparatus,2009,45(6):124-127.
[14]刘权,章俊,马德贵,等.基于光纤传输的高压断路器触头温度测量研究[J].高压电器,2011,47(11):27-30.LIU Quan, ZHANG Jun, MA Degui, et al. Temperature measuring system for high-voltage circuit-breaker contacts via optical fiber transmission[J]. High Voltage Apparatus,2011,47(11):27-30.
[15]杜文妍,蒋伟,周明,等.基于模糊理论与证据推理方法的断路器状态评估模型[J].现代电子技术,2017,40(7):179-182.DU Wenyan, JIANG Wei, ZHOU Ming, et al. Circuit breaker state assessment model based on fuzzy theory and evidence reasoning method[J]. Modern Electronics Technique, 2017,40(7):179-182.
[16]栗然,李彪,刘洋,等.基于DHGF算法的变压器状态综合评估[J].华东电力,2013,41(5):1068-1071.LI Ran, LI Biao, LIU Yang,et al. Transformer state comprehensive assessment based on DHGF algorithm[J]. East China Electric Power,2013,41(5):1068-1071.
[17]苗飞,任建文,汤国庆,等.基于灰色聚类与证据合成的变压器状态评估[J].高压电器,2016,52(3):51-54.MIAO Fei, REN Jianwen, TANG Guoqing, et al. Transformer state assessment based on gray clustering and evidence synthesis[J]. High Voltage Apparatus,2016,52(3):51-54.
[18]祝顺才,蔡金锭.基于模糊-灰色聚类的油纸绝缘状态综合诊断[J].仪器仪表学报,2017,38(3):720-722.ZHU Shuncai, CAI Jinding. Comprehensive diagnosis of oilpaper insulation status based on fuzzy gray clustering[J]. Chinese Journal of Scientific Instrument,2017,38(3):720-722.
[19]崔杰,党耀国,刘思峰,等.基于灰色关联度求解指标权重的改进方法[J].中国管理科学,2008,16(5):142-144.CUI Jie, DANG Yaoguo, LIU Sifeng, et al. An improved method for solving index weight based on grey relational degree[J]. Chinese Journal of Management Science, 2008,16(5):142-144.
[20]王润英,曾凤华,刘磊,等.改进的理想区间法在多级大坝变形评价中的应用[J].水电能源科学,2014,32(11):89-92.WANG Runying, ZENG Fenghua, LIU Lei, et al. Application of improved ideal interval method in multi-stage dam deformation evaluation[J]. Water Resources and Power,2014,32(11):89-92.
[2]国连玉,李可军,梁永亮,等.基于灰色模糊综合评判的高压断路器状态评估[J].电力自动化设备,2014,34(11):161-167.GUO Lianyu, LI Kejun, LIANG Yongliang, et al. HV circuit breaker state assessment based on gray-fuzzy comprehensive evaluation[J]. Electric Power Automation Equipment, 2014,34(11):161-167.
[3]常怡东,张开轩,金潇,等.基于物元可拓理论的高压断路器状态评估方法[J].高压电器,2017,53(9):109-112.CHANG Yidong, ZHANG Kaixuan, JIN Xiao, et al. Condition assessment of high voltage circuit breaker based on matter-element extension theory[J]. High Voltage Apparatus, 2017,53(9):109-112.
[4]李济沅,邱玉婷,于竞哲,等.基于灰色关联度和TOPSIS的真空断路器运行状态综合评估[J].高压电器,2017,53(3):242-245.LI Jiyuan, QIU Yuting, YU Jingzhe, et al. State complex evaluation of vacuum circuit breaker based on grey correlation degree and TOPSIS method[J]. High Voltage Apparatus, 2017,53(3):242-245.
[5]陈朋永,宋晓磊,陈云飞,等.SF_6高压断路器运行状态模糊综合评估[J].高压电器,2016,52(3):172-175.CHEN Pengyong,SONG Xiaolei,CHEN Yunfei,et al. Fuzzycomprehensive evaluation on the operation conditions of high voltage circuit breaker[J]. High Voltage Apparatus,2016,52(3):172-175.
[6]郑涛,卢婷.基于云物元分析理论的真空断路器运行状态综合评判方法[J].华东电力,2014,42(4):646-650.ZHENG Tao, LU Ting. Condition assessment of vacuum circuit breakers based on cloud matter element analysis theory[J]. East China Electric Power,2014,42(4):646-650.
[7]杨志超,张成龙,葛乐,等.基于熵权法的绝缘子污闪状态模糊综合评价[J].电力自动化设备,2014,34(4):90-94.YANG Zhichao, ZHANG Chenglong, GE Le, et al.Comprehensive fuzzy evaluation based on entropy weight method for insulator flash over pollution[J]. Electric Power Automation Equipment,2014,34(4):90-94.
[8]李海英,冯东,宋建成.中压真空断路器状态的雷达图法评估模型[J].电网技术,2013,37(7):2053-2056.LI Haiying, FENG Dong, SONG Jiancheng. Condition-based assessment model of MV vacuum circuit breaker with radar chart method[J]. Power System Technology,2013,37(7):2053-2056.
[9]宋锦刚.基于振动信号小波包提取和相似性原则的高压开关设备振动监测[J].电网技术,2010,34(4):189-193.SONG Jingang. Vibration monitoring of high-voltage circuit breakers based on vibration signal extraction by wavelet packets and similarity principle[J]. Power System Technology, 2010,34(4):189-193.
[10]陈怀金.基于振动分析的高压断路器机械故障诊断研究[D].吉林:东北电力大学,2017:13-22.CHEN Huaijin. Research on mechanical fault diagnosis of high voltage circuit breakers based on vibration analysis[D].Jilin:Northeast Electric Power University,2017:13-22.
[11]黎斌.断路器电寿命的折算、限值及其在线监测技术[J].高压电器,2005,41(6):428-433.LI Bin. Conversion, limit and on-line monitoring technology of electrical endurance for circuit breakers[J]. High Voltage Apparatus,2005,41(6):428-433.
[12]郭磊,郭创新,曹一家,等.考虑断路器在线状态的电网风险评估方法[J].电力系统自动化,2012,36(16):20-24.GUO Lei, GUO Chuangxin, CAO Yijia, et al. Power transmission risk assessment considering breaker online status[J].Automation of Electric Power Systems, 2012,36(16):20-24.
[13]陈昌龙,邹积岩.基于比例差分探头的真空灭弧室真空度在线监测[J].高压电器,2009,45(6):124-127.CHEN Changlong, ZOU Jiyan. On-line monitoring of vacuum degree in vacuum interrupters based on proportional difference electric field detectors[J]. High Voltage Apparatus,2009,45(6):124-127.
[14]刘权,章俊,马德贵,等.基于光纤传输的高压断路器触头温度测量研究[J].高压电器,2011,47(11):27-30.LIU Quan, ZHANG Jun, MA Degui, et al. Temperature measuring system for high-voltage circuit-breaker contacts via optical fiber transmission[J]. High Voltage Apparatus,2011,47(11):27-30.
[15]杜文妍,蒋伟,周明,等.基于模糊理论与证据推理方法的断路器状态评估模型[J].现代电子技术,2017,40(7):179-182.DU Wenyan, JIANG Wei, ZHOU Ming, et al. Circuit breaker state assessment model based on fuzzy theory and evidence reasoning method[J]. Modern Electronics Technique, 2017,40(7):179-182.
[16]栗然,李彪,刘洋,等.基于DHGF算法的变压器状态综合评估[J].华东电力,2013,41(5):1068-1071.LI Ran, LI Biao, LIU Yang,et al. Transformer state comprehensive assessment based on DHGF algorithm[J]. East China Electric Power,2013,41(5):1068-1071.
[17]苗飞,任建文,汤国庆,等.基于灰色聚类与证据合成的变压器状态评估[J].高压电器,2016,52(3):51-54.MIAO Fei, REN Jianwen, TANG Guoqing, et al. Transformer state assessment based on gray clustering and evidence synthesis[J]. High Voltage Apparatus,2016,52(3):51-54.
[18]祝顺才,蔡金锭.基于模糊-灰色聚类的油纸绝缘状态综合诊断[J].仪器仪表学报,2017,38(3):720-722.ZHU Shuncai, CAI Jinding. Comprehensive diagnosis of oilpaper insulation status based on fuzzy gray clustering[J]. Chinese Journal of Scientific Instrument,2017,38(3):720-722.
[19]崔杰,党耀国,刘思峰,等.基于灰色关联度求解指标权重的改进方法[J].中国管理科学,2008,16(5):142-144.CUI Jie, DANG Yaoguo, LIU Sifeng, et al. An improved method for solving index weight based on grey relational degree[J]. Chinese Journal of Management Science, 2008,16(5):142-144.
[20]王润英,曾凤华,刘磊,等.改进的理想区间法在多级大坝变形评价中的应用[J].水电能源科学,2014,32(11):89-92.WANG Runying, ZENG Fenghua, LIU Lei, et al. Application of improved ideal interval method in multi-stage dam deformation evaluation[J]. Water Resources and Power,2014,32(11):89-92.