电力系统自动化2018，Vol.42Issue(5)：9-17,24,10.DOI:10.7500/AEPS20170430002
基于多层电价响应机制的主动配电网源-网-荷协调方法
Source-Grid-Load Coordination Method for Active Distribution Network Based on Multi-level Electricity Price Response Mechanism
摘要
Abstract
In order to deal with the problem of multi-level coordinated operation of distribution network with high penetration of renewable energy,a fuzzy chance constrained source-grid-load coordinated optimal operation method is proposed based on the multi-agent system and multi-level electricity price response mechanism.According to the operating characteristics of distributed generators,active loads and microgrids,this paper analyzes the existing problems in the coordinated source-grid-load operation of distribution networks with high penetration of renewable energy.The coordinated optimization architecture is designed based on the multi-agent system and multi-level electricity price response mechanism.Considering the uncertain factors of renewable energy and active loads,and the risk difference of multi-agents,the coordinated interaction between the active distribution network and the source,load,and microgrid is described by the method of fuzzy chance constrained programming.The optimization models at the distribution network layer,directly coordinated source-load layer and indirectly coordinated microgrid layer are developed.The neuronal network and the equivalence class transformation are introduced to deal with the uncertain factors in the stochastic programming model.The bat algorithm and golden section method are used to solve the problem.Finally,the simulation results show the effectiveness of the proposed method.关键词
协调优化/高比例可再生能源/多智能体/多层电价响应机制/模糊机会约束规划Key words
coordinated optimization/high penetration of renewable energy/multi-agent/multi-level electricity price response mechanism/fuzzy chance constrained programming引用本文复制引用
徐熙林,宋依群,姚良忠,索瑞鸿,严正..基于多层电价响应机制的主动配电网源-网-荷协调方法[J].电力系统自动化,2018,42(5):9-17,24,10.基金项目
国家重点研发计划资助项目(2016YFB0900100).This work is supported by National Key R&D Program of China(No.2016YFB0900100). （2016YFB0900100）
