极端天气下计及电-气互联影响的配电网弹性评估
|
摘要
为避免在极端天气下发生大规模停电事故,配电网必须具备一定抵御极端灾害、最小化负荷损失并迅速恢复断电负荷的能力,称之为配电网的弹性。在综合能源背景下,电-气互联系统实现了电、气两种能源形式的紧密耦合,二者在故障情形下可以互为备用,是提升配电网弹性的有效手段。文章以台风灾害为例,提出了一种计及电-气互联影响的配电网弹性评估方法。基于台风风场模型,获取台风过境情况下配电线路的时变故障率,并以此故障率进行随机抽样,生成配电网故障场景。针对孤岛场景,可以通过燃气轮机对孤岛内负荷供电,并根据最优切负荷模型计算孤岛内负荷缺额。以配电网负荷曲线缺失面积作为弹性指标,基于蒙特卡洛模拟评估计及电-气互联影响的配电网弹性。最后,通过改进IEEE 33配电系统算例验证了所提方法的有效性,量化分析了电-气互联对配电网弹性的提升作用。
In order to avoid large-scale power outages under extreme weather,distribution systems should have the ability to withstand disasters,minimize load loss and recover power supply quickly,which is called the resilience of the system. With the development of integrated energy system,the electricity systems and the gas systems are tightly coupled,thus capable of providing reserve for each other during outages. By this means,the distribution systems become more resilient. In this paper,a resilience assessment method is proposed for distribution systems incorporating interconnections with gas systems under typhoon conditions. Based on the wind field model of typhoon,the time-variant fault rate of each distribution line is calculated,with which the fault scenarios are generated by sampling. The loads in isolated islands are powered by gas turbines and the power shortage is calculated based on the optimal load shedding model. The missing area of load curve is taken as the index to assess the resilience of the distribution system. Test results,obtained on the modified IEEE 33-bus distribution system,demonstrate the effectiveness of the proposed method and show the resilience improvement of the distribution system with the interconnections with gas systems.
In order to avoid large-scale power outages under extreme weather,distribution systems should have the ability to withstand disasters,minimize load loss and recover power supply quickly,which is called the resilience of the system. With the development of integrated energy system,the electricity systems and the gas systems are tightly coupled,thus capable of providing reserve for each other during outages. By this means,the distribution systems become more resilient. In this paper,a resilience assessment method is proposed for distribution systems incorporating interconnections with gas systems under typhoon conditions. Based on the wind field model of typhoon,the time-variant fault rate of each distribution line is calculated,with which the fault scenarios are generated by sampling. The loads in isolated islands are powered by gas turbines and the power shortage is calculated based on the optimal load shedding model. The missing area of load curve is taken as the index to assess the resilience of the distribution system. Test results,obtained on the modified IEEE 33-bus distribution system,demonstrate the effectiveness of the proposed method and show the resilience improvement of the distribution system with the interconnections with gas systems.
引文
[1]门永生,朱朝阳,于振,等.电网基础设施物理脆弱性评估方法研究综述[J].供用电,2014,31(9):60-62.
[2]中国电力企业联合会.南方电网:众志成城势破“山竹”[EB/OL].[2018-09-18].http://www.cec.org.cn/zdlhuiyuandongtai/dianwang/2018-09-18/184846.html.
[3]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 Zhaohong,LIN Yanling,QIU Aici.Concept and research prospects of power system resilience[J].Automation of Electric Power Systems,2015,39(22):1-9.
[4]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.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.
[5]BRUNEAU M,CHANG S E,EGUCHI R T,et al.A framework to quantitatively assess and enhance the seismic resilience of communities[J].Earthquake Spectra,2003,19(4):733-752.
[6]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.
[7]PANTELI M,MANCARELLA P.Modeling and evaluating the resilience of critical electrical power infrastructure to extreme weather events[J].IEEE Systems Journal,2017,11(3):1733-1742.
[8]赵丽敬.电网的弹性建模与评估[D].武汉:华中科技大学,2015.
[9]WANG D,LIU L,JIA H,et al.Review of key problems related to integrated energy distribution systems[J].CSEEJournal of Power and Energy Systems,2018,4(2):130-145.
[10]齐世雄,王秀丽,邵成成,等.极端事件下电-气混联综合能源系统的恢复力分析[J].电网技术,2019,43(1):41-51.QI Shixiong,WANG Xiuli,SHAO Chengcheng,et al.Resilience analysis of integrated electricity and natural gas energy system under extreme events[J].Power System Technology,2019,43(1):41-51.
[11]SHAO C C,SHAHIDEHPOUR M,WANG X F,et al.Integrated planning of electricity and natural gas transportation systems for enhancing the power grid resilience[J].IEEETransactions on Power Systems,2017,32(6):4418-4429.
[12]兰颖.考虑台风影响的配电网可靠性评估和规划[D].重庆:重庆大学,2014.
[13]朱磊.计及风电接入的需求响应对电力系统可靠性的影响研究[D].南京:东南大学,2015.
[14]丛伟,孔瑾,赵义术,等.基于可达性矩阵的智能配电网分区及孤岛辨识方法[J].电力系统自动化,2013,37(23):50-55.CONG Wei,KONG Jin,ZHAO Yishu,et al.Smart distribution network partition and island identification method based on reachability matrix[J].Automation of Electric Power Systems,2013,37(23):50-55.
[15]GHASEMI S,MOSHTAGH J.Radial distribution systems reconfiguration considering power losses cost and damage cost due to power supply interruption of consumers[J].International Journal on Electrical Engineering and Informatics,2013,5(3):297-315.
[16]吴勇军,薛禹胜,谢云云,等.台风及暴雨对电网故障率的时空影响[J].电力系统自动化,2016,40(2):20-29,83.WU Yongjun,XUE Yusheng,XIE Yunyun,et al.Spacetime impact of typhoon and rainstorm on power grid fault probability[J].Automation of Electric Power Systems,2016,40(2):20-29,83.
[17]OUYANG M,DUE?AS-OSORIO L,MIN X.A threestage resilience analysis framework for urban infrastructure systems[J].Structural Safety,2012,36/37:23-31.
[18]WANG Y Z,CHEN C,WANG J H,et al.Research on resilience of power systems under natural disasters:A review[J].IEEE Transactions on Power Systems,2016,31(2):1604-1613.
[19]张秀钊,陈姝敏,钱纹,等.含分布式电源配电网抗灾害特性评估方法[J].广东电力,2018,31(1):51-56.ZHANG Xiuzhao,CHEN Shumin,QIAN Wen,et al.Evaluation method for anti-disaster characteristic of power distribution network with distributed generation[J].Guangdong Electric Power,2018,31(1):51-56.
[20]周晓敏,葛少云,李腾,等.极端天气条件下的配电网韧性分析方法及提升措施研究[J].中国电机工程学报,2018,38(2):505-513,681.ZHOU Xiaomin,GE Shaoyun,LI Teng,et al.Assessing and boosting resilience of distribution system under extreme weather[J].Proceedings of the CSEE,2018,38(2):505-513,681.
[2]中国电力企业联合会.南方电网:众志成城势破“山竹”[EB/OL].[2018-09-18].http://www.cec.org.cn/zdlhuiyuandongtai/dianwang/2018-09-18/184846.html.
[3]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 Zhaohong,LIN Yanling,QIU Aici.Concept and research prospects of power system resilience[J].Automation of Electric Power Systems,2015,39(22):1-9.
[4]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.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.
[5]BRUNEAU M,CHANG S E,EGUCHI R T,et al.A framework to quantitatively assess and enhance the seismic resilience of communities[J].Earthquake Spectra,2003,19(4):733-752.
[6]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.
[7]PANTELI M,MANCARELLA P.Modeling and evaluating the resilience of critical electrical power infrastructure to extreme weather events[J].IEEE Systems Journal,2017,11(3):1733-1742.
[8]赵丽敬.电网的弹性建模与评估[D].武汉:华中科技大学,2015.
[9]WANG D,LIU L,JIA H,et al.Review of key problems related to integrated energy distribution systems[J].CSEEJournal of Power and Energy Systems,2018,4(2):130-145.
[10]齐世雄,王秀丽,邵成成,等.极端事件下电-气混联综合能源系统的恢复力分析[J].电网技术,2019,43(1):41-51.QI Shixiong,WANG Xiuli,SHAO Chengcheng,et al.Resilience analysis of integrated electricity and natural gas energy system under extreme events[J].Power System Technology,2019,43(1):41-51.
[11]SHAO C C,SHAHIDEHPOUR M,WANG X F,et al.Integrated planning of electricity and natural gas transportation systems for enhancing the power grid resilience[J].IEEETransactions on Power Systems,2017,32(6):4418-4429.
[12]兰颖.考虑台风影响的配电网可靠性评估和规划[D].重庆:重庆大学,2014.
[13]朱磊.计及风电接入的需求响应对电力系统可靠性的影响研究[D].南京:东南大学,2015.
[14]丛伟,孔瑾,赵义术,等.基于可达性矩阵的智能配电网分区及孤岛辨识方法[J].电力系统自动化,2013,37(23):50-55.CONG Wei,KONG Jin,ZHAO Yishu,et al.Smart distribution network partition and island identification method based on reachability matrix[J].Automation of Electric Power Systems,2013,37(23):50-55.
[15]GHASEMI S,MOSHTAGH J.Radial distribution systems reconfiguration considering power losses cost and damage cost due to power supply interruption of consumers[J].International Journal on Electrical Engineering and Informatics,2013,5(3):297-315.
[16]吴勇军,薛禹胜,谢云云,等.台风及暴雨对电网故障率的时空影响[J].电力系统自动化,2016,40(2):20-29,83.WU Yongjun,XUE Yusheng,XIE Yunyun,et al.Spacetime impact of typhoon and rainstorm on power grid fault probability[J].Automation of Electric Power Systems,2016,40(2):20-29,83.
[17]OUYANG M,DUE?AS-OSORIO L,MIN X.A threestage resilience analysis framework for urban infrastructure systems[J].Structural Safety,2012,36/37:23-31.
[18]WANG Y Z,CHEN C,WANG J H,et al.Research on resilience of power systems under natural disasters:A review[J].IEEE Transactions on Power Systems,2016,31(2):1604-1613.
[19]张秀钊,陈姝敏,钱纹,等.含分布式电源配电网抗灾害特性评估方法[J].广东电力,2018,31(1):51-56.ZHANG Xiuzhao,CHEN Shumin,QIAN Wen,et al.Evaluation method for anti-disaster characteristic of power distribution network with distributed generation[J].Guangdong Electric Power,2018,31(1):51-56.
[20]周晓敏,葛少云,李腾,等.极端天气条件下的配电网韧性分析方法及提升措施研究[J].中国电机工程学报,2018,38(2):505-513,681.ZHOU Xiaomin,GE Shaoyun,LI Teng,et al.Assessing and boosting resilience of distribution system under extreme weather[J].Proceedings of the CSEE,2018,38(2):505-513,681.