A distributed PSO algorithm for economic dispatch of microgrid
Hu Haoyu,Xing Jianchun,Zhou Qizhen,Zhang Yuhan
(School of Defense Engineering,Army Engineering University of PLA,Nanjing 210007,China)
Abstract： 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.
