电力建设2017,Vol.38Issue(4):41-49,9.DOI:10.3969/j.issn.1000-7229.2017.04.006
基于交替方向乘子法的主动配电网分布式多目标优化调度
Multi-Objective Distributed Optimal Dispatch of Active Distribution Network Based on Alternating Direction Method of Multipliers
摘要
Abstract
Active distribution network optimal dispatch is an effective means to realize the coordinated and efficient use of distributed energy.This paper proposes an distributed multi-objective optimal dispatch method for active distribution network based on the alternating direction method of multipliers (ADMM) aiming at the problem that the traditional centralized optimal dispatch is facing, such as complicated calculation, large amount of information transmission and single target caused by the gradual increase of the distributed energy penetration rate.Firstly, we establish a distributed multi-objective optimal dispatch model involving distributed generators, flexible loads and energy storage system, and use ADMM to compute in parallel by alternating iterations between adjacent partitions, to reduce the computational complexity.Besides, each district can scientifically and independently determine its own optimal objectives according to the actual situation and the need of optimization, which can improve the flexibility of the optimization target selection compared with the widely adopted method with unified optimal objectives in each district.And only a small amount of information is exchanged between adjacent partitions, reducing the information transmission amount.Finally, through the calculation of simulation example, the feasibility and efficiency of the proposed method are verified.关键词
主动配电网/交替方向乘子法(ADMM)/分布式/多目标Key words
active distribution network/alternating direction method of multipliers(ADMM)/distributed/multi-objective分类
信息技术与安全科学引用本文复制引用
董雷,龚成尧,陈乃仕,蒲天骄..基于交替方向乘子法的主动配电网分布式多目标优化调度[J].电力建设,2017,38(4):41-49,9.基金项目
国家高技术研究发展计划项目(863计划)(2014AA051901) (863计划)
国家自然科学基金项目(51577096) (51577096)
北京市自然科学基金重点项目(3161002) (3161002)
国家电网公司科技项目(DZ71-16-032).Project supported by National High Technology Research and Development of China(863 Program)(2014AA051901) (DZ71-16-032)
National Natural Science Foundation of China(51577096) (51577096)
National Natural Science Foundation of Beijing(3161002) (3161002)