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

作　　者：宋晓英 王艳松 

机构地区：[1]中国石油大学信息与控制工程学院,山东青岛266580

出　　处：《电力系统保护与控制》2014年第5期85-89,共5页Power System Protection and Control

摘　　要：为合理调度分布式电源使微网经济和可靠运行,提出一种基于协同进化遗传算法实现微电网分布式电源出力调度的方法。建立了冷热电联产型的微网经济环保调度模型,新增考虑热备用约束条件;建立分阶段目标函数,将蓄电池虚拟放电和充电价格计入群体寻优目标函数;给合协同进化遗传算法,使用群体寻优目标函数和精英寻优目标函数寻求分阶段经济调度最优解;给出了孤网和并网运行方式下的调度策略。通过算例分析了并网和孤网两种运行方式下冬季的经济调度方案,结果表明调度模型和算法是有效的。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 fimction 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) 

分 类 号：TM73[电气工程—电力系统及自动化]