电工技术学报2018，Vol.33Issue(6)：1410-1421,12.DOI:10.19595/j.cnki.1000-6753.tces.170222
基于博弈思想的主动配电网故障灵活分层恢复策略
A Flexible Layered Service Restoration Strategy for Active Distribution Network Based on Game Theory
摘要
Abstract
In order to accelerate the recovery calculation speed of the distribution network and consider the interests of all decision-makers, a flexible layered restoration strategy of active distribution network based on game theory is proposed, and the related model is also established including a participant layer and a Nash equilibrium layer. According to the main body involved in fault recovery, the participant layer is divided into three sub-layers: a load layer, a tie switches layer, and a sectional switches layer. At the load layer, a load shedding strategy based on the power auction model is proposed. At the tie switches layer, a coalition of tie switches and distributed generations is carried out to maximize the restoration possibility index. At the sectional switches layer, the improved ant colony algorithm is used to minimize the network loss. In the Nash equilibrium layer, the strategies of each sub-layer are combined to maximize the total interest of every participant. Based on the above mentioned layered strategy and VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) algorithm, a multi-agent recovery system is used to determine the Nash equilibrium solution. According to different fault scenarios, related layers are invoked flexibly to make restoration schemes, which reduces the redundancy of restoration schemes and improves the speed of calculation. Finally, IEEE 69-node system has verified the proposed strategy.关键词
主动配电网/故障恢复/博弈思想/灵活分层策略/电量拍卖模型/VIKOR算法Key words
Active distribution network/service restoration/game theory/flexible layered strategy/power auction model/VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) algorithm分类
信息技术与安全科学引用本文复制引用
杨丽君,曹玉洁,张子振..基于博弈思想的主动配电网故障灵活分层恢复策略[J].电工技术学报,2018,33(6):1410-1421,12.基金项目
国家自然科学基金(61573302)和河北省自然科学基金(E2014203254)资助项目. （61573302）
