基于改进MNPSO算法的微电网经济运行优化研究  

Research on an Improved Particle Swarm Algorithm with Many Normal Random Number Disturbances

作　　者：柳勇 杨国华 吴宣儒 刘煜 李思维 LIU Yong;YANG Guo-hua;WU Xuan-ru;LIU Yu;LI Si-wei(School of Physics and Electronic-Electrical Engineering,Ningxia University,Yinchuan 750021,China)

机构地区：[1]宁夏大学物理与电子电气工程学院,宁夏银川750021

出　　处：《电工电气》2022年第7期14-21,49,共9页Electrotechnics Electric

摘　　要：为研究各种改进的粒子群优化算法对微电网的经济运行优化,通过构建微电网经济运行优化模型,用多个正态随机数扰动粒子群算法速度和位置的演进方向,对比了改进粒子群算法的收敛性和不同应用环境下的优化性能,采用实际简单协调风光储的微电网算例进行验证分析,证明了改进算法的优化效果并验证了优化微电网经济运行的科学性。This paper constructed an optimized model of the economic operation of the microgrid to optimize the microgrid for studying different improved particle swarm optimization.It employed many normal random numbers to disturb the speed and evaluation direction of the particle swarm optimization.In addition,it compared the astringency of the evolutional particle swarm optimization and the optimal performance under diverse application environments.This paper takes the example of the solar energy storage microgrid to do the analysis.It verifies the improved effect of the evolutional algorithm.Moreover,it validates the scientificity of optimizing the economic operation of the microgrid.

关 键 词：微电网 改进粒子群优化算法 正态随机数 优化性能 

分 类 号：TM734[电气工程—电力系统及自动化]