考虑通信影响的配网恢复力评估及提升措施研究
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摘要
配电网恢复力是指系统应对极端灾害时受扰后的恢复能力,是评估弹性配电网的重要指标之一。为了加强极端灾害下对配电网恢复力的正确评估,探讨了考虑通信故障影响的配电网恢复力评估技术及提升措施。首先,确定了以缺失面积作为配电网恢复力的评价指标,并以通信正常和通信故障两种状态下恢复力的差异定义为通信系统对配电网恢复力的影响,针对通信系统故障场景,分别从考虑负荷重要程度和随机选择修复路径两种极端灾后配电网恢复措施评估配电网的恢复力;其次,从灾前预防、网架重构和灾后抢修3方面提出了配电网恢复力的提升措施。以IEEE 33节点系统为例验证了本文所提评价指标的合理性及配电网恢复力提升措施的有效性。
Resilience of distribution network refers to the ability of the system to recover from disturbances in extreme disasters, and is one of the important indicators for evaluating elastic distribution network. In this paper, to strengthen correct assessment, the resilience assessment and improvement measures of distribution network considering the influence of communication fault under extreme disasters are discussed. Firstly, the missing area is taken as evaluation index of distribution network resilience, and the difference between normal and fault communications is defined as the effect of communication system on distribution network resilience. The distribution network resilience is evaluated from two repair measures for the failure of communication system under extreme disasters: load importance and random choice of repair path. Secondly, measures to improve distribution network resilience are proposed from three aspects: pre-disaster prevention, network frame reconstruction and post-disaster repair. Finally, case studies on IEEE 33-node system demonstrate rationality of the evaluation index and effectiveness of the improvement measures.
Resilience of distribution network refers to the ability of the system to recover from disturbances in extreme disasters, and is one of the important indicators for evaluating elastic distribution network. In this paper, to strengthen correct assessment, the resilience assessment and improvement measures of distribution network considering the influence of communication fault under extreme disasters are discussed. Firstly, the missing area is taken as evaluation index of distribution network resilience, and the difference between normal and fault communications is defined as the effect of communication system on distribution network resilience. The distribution network resilience is evaluated from two repair measures for the failure of communication system under extreme disasters: load importance and random choice of repair path. Secondly, measures to improve distribution network resilience are proposed from three aspects: pre-disaster prevention, network frame reconstruction and post-disaster repair. Finally, case studies on IEEE 33-node system demonstrate rationality of the evaluation index and effectiveness of the improvement measures.
引文
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[16]陈碧云,李翠珍,覃鸿,等.考虑网架重构和灾区复电过程的配电网抗台风韧性评估[J].电力系统自动化,2018,42(6):47-52.Chen Biyun,Li Cuizhen,Qin Hong,et al.Evaluation of typhoon resilience of distribution network considering grid reconstruction and disaster recovery[J].Automation of Electric Power Systems,2018,42(6):47-52(in Chinese).
[17]彭疆南,王海风.考虑系统完全可观测性的PMU最优配置方法[J].电力系统自动化,2003,27(4):10-16.Peng Jiangnan,Wang Haifeng.An optimal PMU placement algorithm for full network observability[J].Automation of Electric Power Systems,2003,27(4):10-16(in Chinese).
[18]Aminifar F,Fotuhi-Firuzabad M,Shahidehpour M,et al.Impact of WAMS malfunction on power system reliability assessment[J].IEEETransactions on Smart Grid,2012,3(3):1302-1309.
[2]葛怡,史培军,徐伟,等.恢复力研究的新进展与评述[J].灾害学,2010,25(3):119-124,129.Ge Yi,Shi Peijun,Xu Wei,et al.New progress and review of research on resilience[J].Disaster Science,2010,25(3):119-124,129(in Chinese).
[3]王守相,葛磊蛟,王凯.智能配电系统的内涵及其关键技术[J].电力自动化设备,2016,36(6):1-6.Wang Shouxiang,Ge Leijiao,Wang Kai.Connotation and key technology of intelligent distribution system[J].Power Automation Equipment,2016,36(6):1-6(in Chinese).
[4]Panteli M,Mancarella P.The grid:stronger,bigger,smarter:presenting a conceptual framework of power system resilience[J].IEEE Power and Energy Magazine,2015,13(3):58-66.
[5]Lbasraw M N,Jarus N,Joshi K A,et al.Analysis of reliability and resilence for smart grids[C]//IEEE International Computer Software and Applications Conference,July 21-25,2014.Vasteras,Sweden:IEEE,529-534.
[6]别朝红,林雁翎,邱爱慈.弹性电网及其恢复力的基本概念与研究展望[J].电力系统自动化,2015,39(22):1-9.Bie Chaohong,Lin Yanling,Qiu Aici.Basic concepts and research prospects of elastic power grid and its resilience[J].Automation of Electric Power Systems,2015,39(22):1-9(in Chinese).
[7]罗剑波,郁琛,谢云云,等.关于自然灾害下电力系统安全稳定防御方法的评述[J].电力系统保护与控制,2018,46(6):158-170.Luo Jianbo,Yu Chen,Xie Yunyun,et al.Comment on the methods of power system security and defense under natural disasters[J].Electricity System Protection and Control,2018,46(6):158-170(in Chinese).
[8]娄铖伟,张筱慧,丛鹏伟,等.含柔性软开关的有源配电网故障恢复策略[J].电力系统自动化,2018,42(1):23-31.Lou Chengwei,Zhang Xiaohui,Cong Pengwei,et al.Active distribution network failure recovery strategy with flexible soft switches[J].Automation of Electric Power Systems,2018,42(1):23-31(in Chinese).
[9]徐成司,董树锋,孙洲,等.基于网络简化和深度优先遍历的配电网路径搜索算法[J].电力系统自动化,2017,41(24):170-176.Xu Chengsi,Dong Shufeng,Sun Zhou,et al.Distribution network path search algorithm based on network simplification and depth priority Traversal[J].Automation of Electric Power Systems,2017,41(24):170-176(in Chinese).
[10]赵俊华,文福拴,薛禹胜,等.电力信息物理融合系统的建模分析与控制研究框架[J].电力系统自动化,2011,35(16):1-8.Zhao Junhua,Wen Fushuan,Xue Yusheng,et al.Modeling analysis and control research framework of cyber physical power systems[J].Automation of Eletric Power Systems,2011,35(16):1-8(in Chinese).
[11]刘东,盛万兴,王云,等.电网信息物理系统的关键技术及其进展[J].中国电机工程学报,2015,35(14):3522-3531.Liu Dong,Sheng Wanxing,Wang Yun,et al.Key technologies and trends of cyber physical system for power grid[J].Proceedings of the CSEE,2015,35(14):3522-3531(in Chinese).
[12]汤奕,韩啸,吴英俊,等.考虑通信系统影响的电力系统综合脆弱性评估[J].中国电机工程学报,2015,35(23):6066-6074.Tang Yi,Han Xiao,Wu Yingjun,et al.Considering the influence of communication system on the vulnerability assessment of electric power system[J].Proceedings of the CSEE,2015,35(23):6066-6074(in Chinese).
[13]汤奕,李峰,王琦,等.通信系统故障对电力系统实时负荷控制影响的量化评价方法[J].电力自动化设备,2017,37(2):90-96.Tang Yi,Li Feng,Wang Qi,et al.Quantitative evaluation method of the impact of communication system failure on real-time load control of power systems[J].Electrical Automation Equipment,2017,37(2):90-96(in Chinese).
[14]Ouyang M,Dueas-Osoriol,Min X.A three-stage resilience analysis framework for urban infrastructure systems[J].Structural Safety,2012(36):23-31.
[15]Reedda,Kapurkc,Christierd.Methodology for assessing the resilience of networked infrastructure systems[J].IEEE Systems Journal,2009,3(2):174-180.
[16]陈碧云,李翠珍,覃鸿,等.考虑网架重构和灾区复电过程的配电网抗台风韧性评估[J].电力系统自动化,2018,42(6):47-52.Chen Biyun,Li Cuizhen,Qin Hong,et al.Evaluation of typhoon resilience of distribution network considering grid reconstruction and disaster recovery[J].Automation of Electric Power Systems,2018,42(6):47-52(in Chinese).
[17]彭疆南,王海风.考虑系统完全可观测性的PMU最优配置方法[J].电力系统自动化,2003,27(4):10-16.Peng Jiangnan,Wang Haifeng.An optimal PMU placement algorithm for full network observability[J].Automation of Electric Power Systems,2003,27(4):10-16(in Chinese).
[18]Aminifar F,Fotuhi-Firuzabad M,Shahidehpour M,et al.Impact of WAMS malfunction on power system reliability assessment[J].IEEETransactions on Smart Grid,2012,3(3):1302-1309.