考虑恢复力与经济性均衡的配电网移动储能优化配置策略  

Optimal Configuration Strategy of Mobile Energy Storage in Distribution Network Considering Balance Between Resilience and Economy

作　　者：张璐[1] 黄睿 王照琪 唐巍[1] 陈颖[2] ZHANG Lu;HUANG Rui;WANG Zhaoqi;TANG Wei;CHEN Ying(College of Information and Electrical Engineering,China Agricultural University,Beijing 100083,China;Department of Electrical Engineering,Tsinghua University,Beijing 100084,China)

机构地区：[1]中国农业大学信息与电气工程学院,北京市100083 [2]清华大学电机工程与应用电子技术系,北京市100084

出　　处：《电力系统自动化》2020年第21期23-31,共9页Automation of Electric Power Systems

基　　金：国家自然科学基金委员会-国际(地区)合作与交流项目(51977211)。

摘　　要：近年来风涝等极端自然灾害频发,灾后配电网生命线负荷的持续供电面临严峻挑战。针对台风灾害下配电网灾损难以准确评估、配电网恢复力与经济性难以兼顾的现状,结合台风历史数据与致灾机理,建立了同时考虑台风与暴雨的数据-机理联合驱动的台风下配电网故障率模型;针对极端灾害数据少、预测精度低的问题,利用φ散度获得灾害持续时间的条件风险价值(CVaR);将移动储能容量作为决策变量,利用纳什谈判方法构建配电网经济性和恢复力均衡模型,实现了对于恢复力和经济性的综合考虑。通过算例测试验证了所提策略的有效性。In recent years,extreme natural disasters such as storms and floods occur frequently,so it is a severe challenge to maintain the continuous power supply for primary loads in distribution networks after disasters.Currently,there are difficulties in accurately evaluating the damage to distribution networks under typhoon disaster and balancing the resilience and economy of distribution networks.To solve the problems above,a joint data-driven and mechanism-driven model of failure rates under typhoon and rainstorms is proposed based on historical data and disaster mechanisms of typhoon.To deal with the lack of data under extreme natural disasters and low forecasting accuracy,conditional value at risk(CVaR)of disaster duration is obtained by using φ divergence.Taking the capacities of mobile energy storages as decision variables,and the Nash bargaining theory is used to establish the balance model between the economy and resilience of distribution networks,which realizes the comprehensive consideration of resilience and economy.The effectiveness of the proposed strategy is verified by an example test.

关 键 词：配电网 恢复力 数据-机理联合驱动 移动储能 纳什谈判 

分 类 号：TM73[电气工程—电力系统及自动化]