考虑网架重构和灾区复电过程的配电网抗台风韧性评估
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摘要
韧性用于评估在遭受严重冲击后的系统性能的维持和恢复能力,是智能电网的重要性能指标之一,文中提出了一种考虑网架重构和灾区复电过程的配电网抗台风韧性评估模型。根据不同等级台风灾害造成的配电网设备故障率分布函数及不同等级台风灾害的发生概率,同时考虑集中型、分散型、集中分散型3种常见故障设备分布方式,生成台风灾害影响下的配电网设备故障场景集合;评估各场景在"灾害发生—网架重构—灾区复电"全过程中配电网保证负荷供电的能力,并通过吸收率、适应率和修复速率3个综合指标来对韧性进行量化描述。最后,以IEEE 33节点配电系统为例,详细介绍了韧性评估的建模和计算过程,验证了该模型用于评估配电网韧性的可行性。
Resilience is used to assess the ability to maintain and recover system performance after a severe impact,which is one of the important performance indicators of smart grid.A model for evaluating the typhoon resilience of distribution network is proposed considering grid reconstruction and disaster recovery.According to the distribution function of distribution equipment failure rate caused by different levels of typhoon disaster and the probability of different levels of typhoon disaster,the failure scene set of distribution network equipment is formed under the influence of typhoon disaster.Three modes of the centralized,decentralized and centralized decentralized are considered in the set.The ability of the distribution network is assessed to guarantee the load supply in the whole process ofdisaster occurrence to grid reconstruction to disaster recovery",and the resilience is quantified by three aggregative indicators of absorbing capacity,adaptive capacity and repair capacity.Taking an IEEE 33-bus system as an example,the modeling and calculation process of resilience evaluation are introduced in detail for illustrating the feasibility of the model proposed to evaluate the resilience of distribution network.
Resilience is used to assess the ability to maintain and recover system performance after a severe impact,which is one of the important performance indicators of smart grid.A model for evaluating the typhoon resilience of distribution network is proposed considering grid reconstruction and disaster recovery.According to the distribution function of distribution equipment failure rate caused by different levels of typhoon disaster and the probability of different levels of typhoon disaster,the failure scene set of distribution network equipment is formed under the influence of typhoon disaster.Three modes of the centralized,decentralized and centralized decentralized are considered in the set.The ability of the distribution network is assessed to guarantee the load supply in the whole process ofdisaster occurrence to grid reconstruction to disaster recovery",and the resilience is quantified by three aggregative indicators of absorbing capacity,adaptive capacity and repair capacity.Taking an IEEE 33-bus system as an example,the modeling and calculation process of resilience evaluation are introduced in detail for illustrating the feasibility of the model proposed to evaluate the resilience of distribution network.
引文
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[12]张晶伟,张粒子,黄弦超.基于遗传拓扑混合算法的配电网多故障抢修策略[J].电力系统自动化,2008,32(22):32-35.ZHANG Jingwei,ZHANG Lizi,HUANG Xianchao.A multifault rush repair strategy for distribution network based on genetic-topology algorithm[J].Automation of Electric Power Systems,2008,32(22):32-35.
[13]何邦乐.含风力发电的配电网络重构研究[D].南宁:广西大学,2014.
[2]FRANCIS R,BEKERA B.A metric and frameworks for resilience analysis of engineered and infrastructure systems[J].Reliability Engineering&System Safety,2014,121(1):90-103.
[3]高海翔,陈颖,黄少伟,等.配电网韧性及其相关研究进展[J].电力系统自动化,2015,39(23):1-8.DOI:10.7500/AEPS20150717002.GAO Haixiang,CHEN Ying,HUANG Shaowei,et al.Distribution systems resilience:an overview of research progress[J].Automation of Electric Power Systems,2015,39(23):1-8.DOI:10.7500/AEPS20150717002.
[4]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.DOI:10.7500/AEPS20150715007.BIE Zhaohong,LIN Yanling,QIU Aici.Concept and research prospects of power system resilience[J].Automation of Electric Power Systems,2015,39(22):1-9.DOI:10.7500/AEPS20150715007.
[5]HENRY D,RAMIREZ-MARQUEZ J E.Generic metrics and quantitative approaches for system resilience as a function of time[J].Reliability Engineering&System Safety,2012,99(3):114-122.
[6]ALBASRAWI M N,JARUS N,JOSHI K A,et al.Analysis of reliability and resilience for smart grids[C]//IEEE International Computer Software and Applications Conference,July 21-25,2014,Vasteras,Sweden:529-534.
[7]BARKER K,RAMIREZ-MARQUEZ J E,ROCCO C M.Resilience-based network component importance measures[J].Reliability Engineering&System Safety,2013,117(2):89-97.
[8]WANG Y,CHEN C,WANG J,et al.Research on resilience of power systems under natural disasters—a review[J].IEEE Transactions on Power Systems,2016,31(2):1604-1613.
[9]郑刚,钟华赞.广东电网受台风影响风险辨析[J].电气时代,2015(3):80-83.ZHENG Gang,ZHONG Huazan.Analysis of risk of typhoon affected by Guangdong power grid[J].Electric Age,2015(3):80-83.
[10]邹必昌.含分布式发电的配电网重构及故障恢复算法研究[D].武汉:武汉大学,2012.
[11]李振坤,陈星莺,余昆,等.配电网重构的混合粒子群算法[J].中国电机工程学报,2008,28(31):35-41.LI Zhenkun,CHEN Xingying,YU Kun,et al.Hybrid particle swarm optimization algorithm for distribution network reconfiguration[J].Proceedings of the CSEE,2008,28(31):35-41.
[12]张晶伟,张粒子,黄弦超.基于遗传拓扑混合算法的配电网多故障抢修策略[J].电力系统自动化,2008,32(22):32-35.ZHANG Jingwei,ZHANG Lizi,HUANG Xianchao.A multifault rush repair strategy for distribution network based on genetic-topology algorithm[J].Automation of Electric Power Systems,2008,32(22):32-35.
[13]何邦乐.含风力发电的配电网络重构研究[D].南宁:广西大学,2014.