南方电网技术2018，Vol.12Issue(1)：76-83,8.DOI:10.13648/j.cnki.issn1674-0629.2018.01.012
基于多智能体动态拓扑重构的主动配电网经济优化研究
Economic Optimization Research on Active Distribution Network Based on Multi-Agent Dynamic Topology Reconfiguration
摘要
Abstract
In order to improve the consumption level of intermittent new energy in active distribution network(ADN),this paper pres-ents an economic optimization model for ADN energy dispatching based on multi-agent dynamic topology reconfiguration. The model takes the minimum reconstruction power loss,the maximum utilization efficiency of distribution new energy sources and the maximum profit of distribution companies as the decision-making conditions, and the economic maximization is achieved through the energy scheduling of each link in ADN. ADN energy dispatching is implemented by three-layer time-division and space-distribution control strategies using multi-agent system(MAS). The chaotic quantum particle swarm optimization algorithm is used to solve the ADN en-ergy optimal dispatching equations to realize the benefit optimization from the individual to the whole. Finally, taking four typical scenes of IEEE 69 node distribution network as examples,ADN energy dispatching is simulated. The effectiveness of the model is ver-ified while the economic optimal solution is obtained.关键词
主动配电网/动态重构/多智能体技术/分布式新电源/经济优化模型Key words
active distribution network/dynamic reconfiguration/multi-agent technology/distributed new energy/economic optimi-zation model分类
信息技术与安全科学引用本文复制引用
冯禹清,马永红,朱继忠..基于多智能体动态拓扑重构的主动配电网经济优化研究[J].南方电网技术,2018,12(1):76-83,8.基金项目
羊城创新创业领军人才支持计划资助(2016005) （2016005）
南方电网科学研究院科技项目(SEPRI—K172001).Supported by Guangzhou Innovation and Entrepre-neurship Leading Talent Support Program(2016005) （SEPRI—K172001）
the Science and Technology Project of Electric Power Research Institute,CSG(SEPRI—K172001). （SEPRI—K172001）
