期刊文献+

主动配电网下多微电网间功率协调优化研究 被引量:1

Multi Micro-grids Power Optimal Dispatch under Active Distribution System
下载PDF
导出
摘要 配电网中高渗透率分布式电源以多微电网的形式集群接入,为对多个微电网进行有效管理,达到对分布式电源主动控制的目的,提出了一种基于部分可观测马尔科夫决策过程(DEC-POMDP)的协调优化模型。针对双层优化目标函数,基于拉格朗日-对偶原理对其进行分层处理,为了对双层目标函数彻底解耦,引入拉格朗日乘子;采用了一种基于Bloch球面坐标编码的量子遗传算法,对变量进行编码以提高优化算法寻优性能。最后,通过算例计算分析验证了所提方法的正确性与有效性。 With the increasing of distributed generation penetration in distribution system, multiple micro-grids may coexist in a regional distribution system and the coordinated control and energy mutual transmission between each micro-grid began to cause widespread concern. This paper proposed a muhi micro-grids power optimal method. The optimal control problem of micro-grids is modeled as a decentralized partially-observable Markov decision process (DEC-POMDP), and a coordinated dynamic programming algorithm is used to solve the problem by introducing a look-head dual muhiplier mechanism as decentralized control signals from centralized information. Finally, the simulation example of multimicro-grids verifies the correctness and effectiveness of the proposed method.
作者 刘剑飞 熊雄 LIU Jianfei XIONG Xiong(State Grid Beijing Electric Power Company Shunyi Company, Beijing 101300, China College of Information and Electrical Engineering, China Agriculture University, Beijing 100183,China)
出处 《电器与能效管理技术》 2017年第18期56-62,共7页 Electrical & Energy Management Technology
基金 国网科技项目(5211JY1600S)
关键词 主动配电网 多微电网 功率协调优化 部分可观测马尔科夫决策过程 拉格朗日-对偶原理 active distribution system multi micro-grid power coordination optimization DECPOMDP Lagrangian duality theory
  • 相关文献

参考文献4

二级参考文献57

  • 1丁明,王敏.分布式发电技术[J].电力自动化设备,2004,27(7):31-36. 被引量:176
  • 2宋辉,戴葵,王志英.量子算法模拟系统研究现状[J].计算机科学,2000,27(9):1-3. 被引量:3
  • 3Holland J H.Adaptation in Natural and Artificial Systems[M].[S.l.]:MIP Press,1975.
  • 4De Jong K A.An analysis of the behavior of a class of genetic adaptive systeins[D].University of Michigan,1975.
  • 5Rudolph G.Convergence analysis of canonical genetic algorithms[J].IEEE Transaction on Neural Network,2001,1994:4-12.
  • 6Chen M-S,Liao F-H.Neural network training using genetic algorithms[C]//Proceedings of the IEEE International Conference on system,Man and Cybernetics,1998,3:2436-2441.
  • 7Winter G.Genetic algorithms in engineering and computer science[M].[S.l.]:Wiley,1995.
  • 8Whitley L D.Foundations of genetic algorithms[M].[S.l.]:Morgan Kaufmann Publishers,1993.
  • 9鲁宗相,王彩霞,闵勇,周双喜,吕金祥,王云波.微电网研究综述[J].电力系统自动化,2007,31(19):100-107. 被引量:933
  • 10TEODORESCU R’LISERRE M,RODRIGUEZ P’et al. Gridconverters for photovoltaic and wind power systems[J]. EnergyProcedia,2011,28(11) :797-807.

共引文献219

同被引文献19

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部