负荷经济调度的可变区间编码遗传算法研究  

Genetic algorithm with adjusted range coding method for economic load dispatch

作　　者：马进[1] 马永光[1] 高建强[1] 林永君[1] 

机构地区：[1]华北电力大学控制科学与工程学院,河北保定071003

出　　处：《华北电力大学学报（自然科学版）》2004年第4期36-38,43,共4页Journal of North China Electric Power University：Natural Science Edition

基　　金：国家电网公司青年促进费资助项目(SP11-2001-05-66).

摘　　要：应用遗传算法对发电厂负荷经济调度问题进行求解。针对遗传算法局部搜索能力较弱的特点,采用可变区间的编码方法,将求解过程分为初步寻优和精细优化。算例表明,该方法使用较短的编码长度获得较好的优化结果,可以在不提高编码长度的情况下提高计算精度,降低了计算精度对基因长度的要求。Genetic algorithm is adoptedtosolve economic dispatch problem. A coding method withadjusted range is applied to improve performance in local range. The algorithm procedure is divided intotwo parts: primary search and refined optimization. Testing results show that the method can get more approached value with shorter chromosome length. The improvement of accuracy isn't achieved by adding chromosome length, so the method reduce the demand for more chromosome length to improve accuracy.

关 键 词：电力系统 电力负荷 经济调度 遗传算法 二进制编码 

分 类 号：TM73[电气工程—电力系统及自动化]