电力系统保护与控制Issue(5)：85-89,5.
基于协同进化遗传算法的微网经济环保调度
Economic and environmental dispatch of microgrid using co-evolutionary genetic algorithm
宋晓英 1王艳松1
作者信息
- 1. 中国石油大学信息与控制工程学院，山东 青岛 266580
- 折叠
摘要
Abstract
Aiming at dispatching the distributed generation reasonably to make the microgrid operate economically and reliably, a method based on co-evolutionary genetic algorithm is proposed to dispatch the distributed generation in microgrid. A dispatching model of economic and environmental CCHP microgrid system is established. The new consideration of hot standby constraint is added. Multistage objective function is established, and the virtual charging and discharging price of the battery are included in the population optimization objective function. Combined with co-evolutionary genetic algorithm, the population optimization objective function and the elite optimization objective function are used to seek the best individuals from the population. The dispatching policies in grid-connected operation and isolated-connected operation are given. The analysis of the results of economic dispatch in winter in two modes of grid-connected operation and isolated-connected operation validates the effectiveness of proposed dispatching mode and the algorithm.关键词
微电网/目标函数/分阶段经济调度/协同进化遗传算法(CGA)Key words
microgrid/objective function/multistage economic dispatch/co-evolutionary genetic algorithm (CGA)分类
信息技术与安全科学引用本文复制引用
宋晓英,王艳松..基于协同进化遗传算法的微网经济环保调度[J].电力系统保护与控制,2014,(5):85-89,5.
