中国电机工程学报2017，Vol.37Issue(17)：4911-4921,11.DOI:10.13334/j.0258-8013.pcsee.161550
基于目标级联分析法的多微网主动配电系统自治优化经济调度
Autonomous Optimized Economic Dispatch of Active Distribution Power System With Multi-microgrids Based on Analytical Target Cascading Theory
摘要
Abstract
The active distribution system (ADS) is the development tendency of distribution network (DN).With the continuous deepening of the reformation of electric power system,more and more distributed energy resource access to distribution network in multi-microgrids (MGs) manner.At the same time,the interest game between DN and MGs brings a huge challenge for power system economic dispatching.As for the strong decentralized and autonomous characteristic of ADS,this paper proposed an autonomy optimization model of active distribution system with multi-microgrids based on analytical target cascading (ATC) theory.The basic idea of this paper is as follow:depending on the different interest subjects,the optimization model of DN and MGs are formulated in great detail,which take the goal to maximize the economy benefit.Various uncertain factors are taken into account by using chance constrained programming.ATC theory is applied to deal with the decoupling of DN and MGs by modeling the tie-line flow as a pseudo generator and a pseudo load that MGs and DN could autonomously utilize their generation resources to optimize their own operation.A modified IEEE 33 system and an actual region power grid are studied to show the effectiveness of the proposed algorithm.关键词
主动配电系统/多微网/利益博弈/目标级联分析法/自治优化经济调度Key words
active distribution system (ADS)/multi-microgrids/interest game/analytical target cascading (ATC)/autonomous optimized economic dispatch分类
信息技术与安全科学引用本文复制引用
谢敏,吉祥,柯少佳,刘明波..基于目标级联分析法的多微网主动配电系统自治优化经济调度[J].中国电机工程学报,2017,37(17):4911-4921,11.基金项目
国家重点基础研究发展计划项目(973计划)(2013CB228205) （973计划）
国家自然科学基金青年基金资助项目(50907023).Project Supported by the National Basic Research Program of China(973 Program) (2013CB228205) （50907023）
The National Natural Science Foundation for Youths of China (50907023). （50907023）
