基于群搜索算法的风光储微电网优化调度  

Optimized Dispatch of Wind-PV-Battery Microgrid Based on Group Search Algorithm

作　　者：王丽华 王锡淮[1] 肖建梅[1] Wang Lihua;Wang Xihuai;Xiao Jianmei(Shanghai Maritime University,Shanghai 201306,China)

机构地区：[1]上海海事大学电气自动化系,上海201306

出　　处：《船电技术》2018年第8期27-30,共4页Marine Electric & Electronic Engineering

摘　　要：面对传统的电力发电系统火力不足且造成严重的环境污染问题,大力建设清洁能源为主的微电网具有重要的意义。本文搭建了由光伏、风能、储能电池、海水淡化系统等分布式电源构成的微电网系统。在保持微电网能正常运行的前提下,以实现经济环保成本最低为目标,建立了微电网的优化调度模型。最后分别运用粒子群搜索算法(PSO)、群搜索算法(GSO)对该模型进行寻优,并且进一步改进GSO算法。通过算例验证该模型的有效性。算例结果表明改进后的群搜索算法收敛速度更快,优化结果最好。In the face of the shortage of fire power and the serious environmental pollution problems in the traditional power generation system,it is of great significance to vigorously build a clean energy-based microgrid.This paper builds a microgrid system composed of distributed power sources such as photovoltaic,wind energy,energy storage battery,desalination system and so on.Under the premise of maintaining the normal operation of microgrid,the optimal scheduling model of microgrid is established with the g oal of achieving the lowest economic and environmental costs.Finally,PSO and GSO are used to optimize the model and the GSO algorithm improvementd.An example is given to verify the effectiveness of the model.The result of the example shows that the improved group search algorithm can converge faster and the optimization result is better.

关 键 词：群搜索优化算法 微电网 可再生能源 优化调度 

分 类 号：TM73[电气工程—电力系统及自动化]