节点文献

遗传算法在电网日交易计划中的应用研究

Application Research on the Genetic Alogorithm in Day-deal Plan of Electric Network

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 武瀚杨金桃

【Author】 WU Han~1,YANG Jin-tao~2(1.Shanxi Electric Power Research Institute,Taiyuan,Shanxi 030001,China;2.Shanxi Electric Power Professional Technique College,Taiyuan,Shanxi 030021,China)

【机构】 山西省电科院山西电力职业技术学校 山西太原030001山西太原030021

【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。

【Abstract】 This paper discusses the application of genetic 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 basis 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 mathematics model,and cintraposed 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.

【关键词】 遗传算法电力系统日交易计划
【Key words】 genetic algorithmpower systemday-deal plan
  • 【文献出处】 山西电力 ,Shanxi Electric Power , 编辑部邮箱 ,2007年02期
  • 【分类号】F426.61;F224
  • 【下载频次】36
节点文献中: