摘要
研究探讨了利用遗传算法解决我国电网在未来电力市场环境下的日交易计划问题,针对我国正在建设的电力市场,构造了以购电费用最小为目标的数学模型。针对购电计划的特点,采用了冗余度检查和越限检查。利用遗传算法求解该数学模型,并针对遗传算法的具体应用,对初始种群的生成、选择操作、变异操作等做了改进,提高了计算速度和局部搜索能力。
This paper discus,sos the application of genctic algrithm to solve day-deal plan of network in power market. In view of the power market being built in China, a mathematic model is constructed to make the expense minimum. On the basi,s of the speciality of power plan, methods to examine the redundancy and limit are constrcted. In the light of the genetic algorithm utilized to solve this mathematic,s model, and cintraposcd the application of genetic algorithm in power market, this paper gives the improvement of the calculation speed and the ability of local search by ameliorating the form of initial generation, .selection and abrrance.
出处
《山西电力》
2007年第2期10-12,共3页
Shanxi Electric Power
关键词
遗传算法
电力系统
日交易计划
genelic algorithm
power ,system
day-deal plan