混沌多目标遗传算法的微电网系统容量优化  

Chaos Multi-Objective Genetic Algorithm for Microgrid System Capacity Optimization

作　　者：房鑫 薛文[1] 刘方正[1] FANG Xin XUE Wen LIU Fang-zheng(College of Automation and Electrical Engineering, Qingdao University, Qingdao 266071, China)

机构地区：[1]青岛大学自动化与电气工程学院,山东青岛266071

出　　处：《通信电源技术》2017年第4期158-160,共3页Telecom Power Technology

摘　　要：微电网能源梯级利用率、系统可靠性以及电源质量是微电网发展必须面临的三个挑战。以保证分布式电源功率为前提,将分布式电源、能源原料、电能存储和负载综合考虑,建立量化目标函数。文中提出一种混沌多目标遗传算法来对微电网系统容量进行优化,保证微电网的利用率、可靠性、降低成本、减少污染。Micro grid energy cascade utilization,system reliability and power quality are the three challenges of micro grid development must face.In order to ensure the distributed power is the premise of the distributed power,energy and raw materials,energy storage and load into consideration,the establishment of quantitative objective function is obtained.This paper proposes a chaos multi-objective genetic algorithm to optimize the micro grid system capacity,guarantee the microgrid rate,reliability,reduce costs,reduce pollution.

关 键 词：微网 分布式电源 优化配置 多目标优化 遗传算法 

分 类 号：TM727[电气工程—电力系统及自动化] TP18[自动化与计算机技术—控制理论与控制工程]