省级电网一体化检修优化管理系统关键技术研究
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摘要
本课题介绍了省级电网一体化检修优化管理系统的主要建设思路。该系统主要实现对检修计划进行评估、优化、基态、静态、暂态和动态多维度一体化安全校核,实现了基于电网运行经验专家库、评估指标分析、静态暂态动态校核全过程检修计划优化辅助决策,校核检修计划的可行性安排。省级电网一体化检修管理系统的主要技术特点是：首先,基于AC2企业服务总线,避免应用系统间直联,提高服务重用性,降低系统升级和新功能接入开发维护工作量；其次,建设了一体化网络模型管理平台,实现了模型管理的单点维护、全局共享,并能提供未来模型服务；第三,进行多周期多维度一体化检修计划安全分析,支持对年度、月度、日前等多周期检修计划的静态校核、动态校核和暂态校核；第四,首次提出并实现等效发电容量损失和负荷供应充裕度两个优化评估指标,通过这两个指标定量分析电网安全供电能力,分析获得发电容量损失最小和负荷供应裕度最大的检修优化调整方案,辅助用户实现检修计划的优化调整。在安全评估分析和优化计算中,采用潮流分析、灵敏度分析和静态安全分析等网络分析技术,定量评估各检修对输电设备重载和越限的影响；最后,进行检修计划优化,根据检修计划安全分析和裕度评估信息,结合专家智能决策库,对不符合电网安全要求的检修计划提出优化调整建议,辅助运行人员优化检修计划安排。
This topic intrudoce the construction ideas of the integration of province grid's maintenance optimization management system. The main objects of this system is assessment, optimization, multi-dimensional security check contains static state analysis, transient stat and dynamic state analysis. This system always build a optimize decision support system by grid operating experience, evaluation indicators, static state analysis, dynamic state analysis and transient state analysis, and then, find a propoer solution. First, based on the AC2enterprise service bus, to avoid the directly connection among the applications, reduce the costs of system upgrade and building new features. Secondly, building an integrated network modle management platform to achive the following gloals, such as maintenance the network model at any node and sharing it globally, support the future network model service. Third, support the safety analysis of multi-cycle and multi-dimensional, can do static stablility analysis, dynamic stability analysis and transient stability analysis to the maintenance plan via annual, monthly or daily method. Fourthly, fist proposed and implementd2optimization evaluation index such as equivalent loss of generating capacity and load supply abundant capacity. By quantity analysis these two indicators to tell grid's safety supply capacity, find the security plan which meet the minimun loss of generating capacity and load supply's max capacity, help the user to adjust the security plan. When the system comput the optimization goal, it use flow analysi, sensitivity and security analysis,static security analysis, quantitative assessment the impact of maintenance on the transmission equipemts overload and limit. Finally, study the maintenace schedule optimization, analysis the adequacy assessment informatin, combined with eperts intelligent decision library, give the optimal adjustment to the maintenance play does not meet the safety requirments, assisted the optimizer to arrange the maintenace plan.
This topic intrudoce the construction ideas of the integration of province grid's maintenance optimization management system. The main objects of this system is assessment, optimization, multi-dimensional security check contains static state analysis, transient stat and dynamic state analysis. This system always build a optimize decision support system by grid operating experience, evaluation indicators, static state analysis, dynamic state analysis and transient state analysis, and then, find a propoer solution. First, based on the AC2enterprise service bus, to avoid the directly connection among the applications, reduce the costs of system upgrade and building new features. Secondly, building an integrated network modle management platform to achive the following gloals, such as maintenance the network model at any node and sharing it globally, support the future network model service. Third, support the safety analysis of multi-cycle and multi-dimensional, can do static stablility analysis, dynamic stability analysis and transient stability analysis to the maintenance plan via annual, monthly or daily method. Fourthly, fist proposed and implementd2optimization evaluation index such as equivalent loss of generating capacity and load supply abundant capacity. By quantity analysis these two indicators to tell grid's safety supply capacity, find the security plan which meet the minimun loss of generating capacity and load supply's max capacity, help the user to adjust the security plan. When the system comput the optimization goal, it use flow analysi, sensitivity and security analysis,static security analysis, quantitative assessment the impact of maintenance on the transmission equipemts overload and limit. Finally, study the maintenace schedule optimization, analysis the adequacy assessment informatin, combined with eperts intelligent decision library, give the optimal adjustment to the maintenance play does not meet the safety requirments, assisted the optimizer to arrange the maintenace plan.
引文
[1]国家电力调度通信中心,智能电网调度技术支持系统建设框架[R],2009
[2]马韬韬、郭创新、曹一家等,电网智能调度自动化系统研究现状及发展趋势[J]。电力系统自动化,2010,34(9)：7-11
[3]张伯明、孙宏斌、吴文传等等,智能电网控制中心技术的未来发展[J],电力系统自动化,2009,33(17)：21-28
[4]胡炎、辛耀中、韩英铎,二次系统安全体系结构化设计方法[J],电力系统自动化,2002,27(10)：63-68
[5]全国电力二次系统安全防护专家组,电力二次系统安全防护方案[R]。北京：国家电力调度通信中心,2004.
[6]Roinson R, Understand enterprise service bus scenaris and参考文solutions in service-oriented architecture [EB/OL],
[7]http://www-128.ibm.com/developerworks/webservices/library/ws-esbscen/, 2008-02-23
[8]Patrick F Carey, Bernard W Gleason. Solving the integration issue-service-oriented architecture [EB/OL].
[9]http://www.zdnet.co.uk/tsearch/Service-Oriented+Architecture.htm,Feb,2006
[10]W3C Working Group Note. Web services architecture [EB/OL]. http://www.w3c.org/TR/ws-arch/,Feb.2004
[11]Fan GC, Zhong H,Huang T, Feng YL, A survey on Web application servers[J], Journal of Software,2003,14(10):1728-1739
[12]Aleksy M, Design and implementation of a bridge between CORBA's notification service and the java message service[C], Hawaii:Proceedings ot the 36th Hawaii international conference on system sciences,2003
[13]Christensen E, Curbera F, Meredith G, et al. WSDL-Web service description language, Version 1.1. Standard. W3C [EB/OL]. http://www.w3c.org/TR/wsdl/, 2001
[14]高志远,姚建国,曹阳,等。公共信息模型和IEC61850模型协调方案评析[J],电力系统自动化,2011,35(16)：9-14
[15]曹晋彰,朱传柏,刘波,等。基于公共信息模型的电网智能调度编码体系研究与实现[J],电力系统自动化,2011,35(2)：43-47
[16]姚建国,杨胜春,高宗和,等。电网调度自动化系统发展趋势展望[J],电力系统自动化,2007,31(13)：7-10
[17]冯永青,鹏陈,麦绍辉,等。基于模型拼接与外网等值的南方电网在线模型协调方法[J],电力自动化设备,2011,31(7)：101-104
[18]曹阳,杨胜春,杨胜春,等。智能电网核心标准IEC 61970最新进展[J],电力系统自动化,2011,35(17)：1-4
[19]IEC 61970 Energy management system application program interface (EMS-API)[S],2003.
[20]Choi J, Jang H, Kim S. Integration method analysis between IEC 61850 and IEC 61970 for substation automation system[C] //Proceedings of the 2009 Transmission & Distribution Conference & Exposition:Asia and Pacific, October 26-30,2009, Seoul, Korea:1-3.
[21]Ebrahimian R, Baldick R. State estimation distributing processing [J]. IEEE Transactions on Power Systems,2000,15(4):1240-1246
[22]Huang G M, Lei Jiansheng. A concurrent non-recursive textured algorithm for distributed multi-utility state estimation [C]//Power Engineering Society Summer Meeting, Chicago, USA:IEEE,2002:1570-1575
[23]IEC 61970-301 Ed.2:2010 Energy management system application program interface(EMS-API)-Part 301:Common information model(CIM) base[S].2010
[24]IEC 61970-453-2008 Energy management system application program interface (EMS-API)-Part 453:CIM based graphics exchange[S].2008
[25]许倩,王晶,高峰,等。电力设备状态检修技术研究综述[J],电网技术,2000,24(8)：48-52
[26]宋人杰,王晓东。输变电设备状态检修评估分析系统研究[J],继电器,2008,36(9)：54-57
[27]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
[28]冯永青,吴文传。基于可靠性理论的输电网短期线缆检修计划[J],中国电机工程学报,2007,27(4)：65-71
[29]黄弦超,舒隽,张粒子,等。配电网检修计划优化模型的设计[J],电力系统自动化,2005,29(21)：50-54
[30]汪洋,夏清,康重庆等。考虑电网N-1闭环安全校核的最优安全发电计划[J],中国电机工程学报,2011,31(10)：39-45
[31]廖胜利,应小诚,李刚,等。面向省级电网的检修可视化设计和辅助决策实现[J],电力系统自动化,2011,35(21)：105-109
[32]张建国,刘智广,陆杏全,等。电网调度智能化检修票和操作票系统的设计与实践[J],电力系统自动化,2004,28(7)：78-81
[33]Power system test case archive:14-bus power flow test case [EB/OL], [2010-04-01]. http://www.ee.washington.edu/research/pstca/pf14/ieee14cdf.txt.
[34]Young Fu, Shahidehpour M. Fast SCUC for large-scale power systems [J]. IEEE Transactions on Power System,2007,22(4):2144-2151.
[35]Fu Yong, Shahidehpour M, Li Zuyi. AC contingency dispatch based on security-constrained unit commitment [J]. IEEE Transactions on Power System, 2006,21(2):897-908.
[36]Backlund F, Hannu J. Can we make maintenance decisions on risk analysis results [J]. Journal of Quality in Maintenance Engineering,2002,8(1):77-91.
[37]Pei Zhang, Lee S T. Probabilistic load flow computation using the method of combined cumulants and Gram-Charlier expansion [J]. IEEE Trans. On Power Systems,2004,19(1):676-682.
[38]Miao Lu, Zhao Yangdong, Saha T K. A probabilistic load flow method considering transmission network contingency[C]//Proceedings of IEEE Power Engineering Society General Meeting. New Jersey, USA:IEEE Power & Energy Society,2007:1-6.
[39]Fu Y, Shahidehpour M, Li Z. Security-constrained optimal coordination of generation and transmission maintenance outage scheduling [J]. IEEE Trans on Power Systems,2007,22(3):1302-1313.
[40]Hsu C C, Chen C Y, Regional load forecasting in Taiwan-application of artificial neural networks [J]. Energy Conversion and Management,2003, 44(12):1941-1949.
[41]Pai P F, Hong W C, Forecasting regional electric load based on recurrent support vector machines with genetic algorithms [J]. Electric Power Systems Research, 2005,74(3):417-425.
[42]Karrarim M, Malik O P. Identification of physical parameters of a synchronous generator from online measurements [J]. IEEE Trans on Energy Conversion, 2004,19(2):407-415.
[43]Tian Fang, Li Yalou, Zhou Xiaoxin, et al. Research, development and application of advanced digital power system simulator(ADPSS) [C]//The International Conference on Electrical Engineering 2008(ICEE 2008). Okinawa, Japan:IEEJ, CSEE, KIEE, HKIE,2008:PN2-05.
[44]Anderson P M, Fouad A A. Power system control and stability[M]. The 2nd edition. USA:IEEE press,2003:25-55.
[45]Kamwa I, Pradhan A K, Joos, et al. Fuzzy partitioning of a real power system for dynamic vulnerability assessment [J]. IEEE Transactions on Power Systems, 2005,20(2):926-934.
[46]Johnson L, Jun Y, Shuye T,et al. Balancing energy deployment oscillation in ERCOT market[C]//Proceedings of 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies:VOL 1, April 5-8,2004,Hong Kong, China:268-273.
[2]马韬韬、郭创新、曹一家等,电网智能调度自动化系统研究现状及发展趋势[J]。电力系统自动化,2010,34(9)：7-11
[3]张伯明、孙宏斌、吴文传等等,智能电网控制中心技术的未来发展[J],电力系统自动化,2009,33(17)：21-28
[4]胡炎、辛耀中、韩英铎,二次系统安全体系结构化设计方法[J],电力系统自动化,2002,27(10)：63-68
[5]全国电力二次系统安全防护专家组,电力二次系统安全防护方案[R]。北京：国家电力调度通信中心,2004.
[6]Roinson R, Understand enterprise service bus scenaris and参考文solutions in service-oriented architecture [EB/OL],
[7]http://www-128.ibm.com/developerworks/webservices/library/ws-esbscen/, 2008-02-23
[8]Patrick F Carey, Bernard W Gleason. Solving the integration issue-service-oriented architecture [EB/OL].
[9]http://www.zdnet.co.uk/tsearch/Service-Oriented+Architecture.htm,Feb,2006
[10]W3C Working Group Note. Web services architecture [EB/OL]. http://www.w3c.org/TR/ws-arch/,Feb.2004
[11]Fan GC, Zhong H,Huang T, Feng YL, A survey on Web application servers[J], Journal of Software,2003,14(10):1728-1739
[12]Aleksy M, Design and implementation of a bridge between CORBA's notification service and the java message service[C], Hawaii:Proceedings ot the 36th Hawaii international conference on system sciences,2003
[13]Christensen E, Curbera F, Meredith G, et al. WSDL-Web service description language, Version 1.1. Standard. W3C [EB/OL]. http://www.w3c.org/TR/wsdl/, 2001
[14]高志远,姚建国,曹阳,等。公共信息模型和IEC61850模型协调方案评析[J],电力系统自动化,2011,35(16)：9-14
[15]曹晋彰,朱传柏,刘波,等。基于公共信息模型的电网智能调度编码体系研究与实现[J],电力系统自动化,2011,35(2)：43-47
[16]姚建国,杨胜春,高宗和,等。电网调度自动化系统发展趋势展望[J],电力系统自动化,2007,31(13)：7-10
[17]冯永青,鹏陈,麦绍辉,等。基于模型拼接与外网等值的南方电网在线模型协调方法[J],电力自动化设备,2011,31(7)：101-104
[18]曹阳,杨胜春,杨胜春,等。智能电网核心标准IEC 61970最新进展[J],电力系统自动化,2011,35(17)：1-4
[19]IEC 61970 Energy management system application program interface (EMS-API)[S],2003.
[20]Choi J, Jang H, Kim S. Integration method analysis between IEC 61850 and IEC 61970 for substation automation system[C] //Proceedings of the 2009 Transmission & Distribution Conference & Exposition:Asia and Pacific, October 26-30,2009, Seoul, Korea:1-3.
[21]Ebrahimian R, Baldick R. State estimation distributing processing [J]. IEEE Transactions on Power Systems,2000,15(4):1240-1246
[22]Huang G M, Lei Jiansheng. A concurrent non-recursive textured algorithm for distributed multi-utility state estimation [C]//Power Engineering Society Summer Meeting, Chicago, USA:IEEE,2002:1570-1575
[23]IEC 61970-301 Ed.2:2010 Energy management system application program interface(EMS-API)-Part 301:Common information model(CIM) base[S].2010
[24]IEC 61970-453-2008 Energy management system application program interface (EMS-API)-Part 453:CIM based graphics exchange[S].2008
[25]许倩,王晶,高峰,等。电力设备状态检修技术研究综述[J],电网技术,2000,24(8)：48-52
[26]宋人杰,王晓东。输变电设备状态检修评估分析系统研究[J],继电器,2008,36(9)：54-57
[27]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
[28]冯永青,吴文传。基于可靠性理论的输电网短期线缆检修计划[J],中国电机工程学报,2007,27(4)：65-71
[29]黄弦超,舒隽,张粒子,等。配电网检修计划优化模型的设计[J],电力系统自动化,2005,29(21)：50-54
[30]汪洋,夏清,康重庆等。考虑电网N-1闭环安全校核的最优安全发电计划[J],中国电机工程学报,2011,31(10)：39-45
[31]廖胜利,应小诚,李刚,等。面向省级电网的检修可视化设计和辅助决策实现[J],电力系统自动化,2011,35(21)：105-109
[32]张建国,刘智广,陆杏全,等。电网调度智能化检修票和操作票系统的设计与实践[J],电力系统自动化,2004,28(7)：78-81
[33]Power system test case archive:14-bus power flow test case [EB/OL], [2010-04-01]. http://www.ee.washington.edu/research/pstca/pf14/ieee14cdf.txt.
[34]Young Fu, Shahidehpour M. Fast SCUC for large-scale power systems [J]. IEEE Transactions on Power System,2007,22(4):2144-2151.
[35]Fu Yong, Shahidehpour M, Li Zuyi. AC contingency dispatch based on security-constrained unit commitment [J]. IEEE Transactions on Power System, 2006,21(2):897-908.
[36]Backlund F, Hannu J. Can we make maintenance decisions on risk analysis results [J]. Journal of Quality in Maintenance Engineering,2002,8(1):77-91.
[37]Pei Zhang, Lee S T. Probabilistic load flow computation using the method of combined cumulants and Gram-Charlier expansion [J]. IEEE Trans. On Power Systems,2004,19(1):676-682.
[38]Miao Lu, Zhao Yangdong, Saha T K. A probabilistic load flow method considering transmission network contingency[C]//Proceedings of IEEE Power Engineering Society General Meeting. New Jersey, USA:IEEE Power & Energy Society,2007:1-6.
[39]Fu Y, Shahidehpour M, Li Z. Security-constrained optimal coordination of generation and transmission maintenance outage scheduling [J]. IEEE Trans on Power Systems,2007,22(3):1302-1313.
[40]Hsu C C, Chen C Y, Regional load forecasting in Taiwan-application of artificial neural networks [J]. Energy Conversion and Management,2003, 44(12):1941-1949.
[41]Pai P F, Hong W C, Forecasting regional electric load based on recurrent support vector machines with genetic algorithms [J]. Electric Power Systems Research, 2005,74(3):417-425.
[42]Karrarim M, Malik O P. Identification of physical parameters of a synchronous generator from online measurements [J]. IEEE Trans on Energy Conversion, 2004,19(2):407-415.
[43]Tian Fang, Li Yalou, Zhou Xiaoxin, et al. Research, development and application of advanced digital power system simulator(ADPSS) [C]//The International Conference on Electrical Engineering 2008(ICEE 2008). Okinawa, Japan:IEEJ, CSEE, KIEE, HKIE,2008:PN2-05.
[44]Anderson P M, Fouad A A. Power system control and stability[M]. The 2nd edition. USA:IEEE press,2003:25-55.
[45]Kamwa I, Pradhan A K, Joos, et al. Fuzzy partitioning of a real power system for dynamic vulnerability assessment [J]. IEEE Transactions on Power Systems, 2005,20(2):926-934.
[46]Johnson L, Jun Y, Shuye T,et al. Balancing energy deployment oscillation in ERCOT market[C]//Proceedings of 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies:VOL 1, April 5-8,2004,Hong Kong, China:268-273.