摘要
随着微电网技术在电力系统中的应用愈加广泛,协调微电网内部分布式电源的出力分配以提高经济性成为了研究的重要课题。目前主流的经济调度方法是微电网调度中心利用全网微电源及负荷的信息进行调度,但这种集中式的方法依赖调度中心的计算能力,对微电源与调度中心之间通信要求较高,且与微电网的分布式特性相违背。提出一种完全分布式的并行调度方法,各分布式电源作为独立的智能体,平等地参与调度工作,利用自身与邻居节点之间的势能博弈,基于粒子群算法优化自身的出力,进而实现全网经济性最优的目标。在MATLAB平台上搭建了独立微电网优化调度模型,验证了所提出方法的可行性,并讨论了相关参数的变化对于调度结果的影响。
With the increasing proportion of microgrid in power system,improving the economical performance by dispatching generators in the grid appropriately becomes an important subject of research on power system.Nowadays,the mainstream dispatching method is the centralized method in which the microgrid control center(MGCC)has to get the information from every generator and load controller or the dispatching cannot be implemented.Accordingly,centralized method needs great computing power of MGCC and reliability of communication between generators and MGCC,which has be contrary to the distributed characteristics of microgrid.A fully distributed parallel dispatching method is proposed in this paper.As an independent agent,each distributed generator of the grid participates in the dispatching works equally and collaboratively.By making potential game between itself and neighbors,every agent uses particle swarm optimization(PSO)algorithm to control its output independently.Then the goal of improving the economical performance of the whole network can be achieved naturally.Finally a microgrid model is established on MATLAB.The feasibility of the proposed method is verified,and the influence of the change of relevant parameters on the optimization results is also discussed.
作者
胡浩宇
邢建春
周启臻
张玉晗
Hu Haoyu;Xing Jianchun;Zhou Qizhen;Zhang Yuhan(School of Defense Engineering,Army Engineering University of PLA,Nanjing 210007,China)
出处
《信息技术与网络安全》
2020年第3期10-16,共7页
Information Technology and Network Security
基金
国家重点研发计划(973计划)(2017YFC0704100)
关键词
微电网
经济调度
分布式并行调度算法
势能博弈
粒子群算法
microgrid
economic dispatch
distributed parallel dispatch method
potential game
particle swarm optimization(PSO)algorithm
