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混合遗传算法在发电厂竞价策略中的应用
引用本文:董福贵,张世英,张文泉,谭忠富.混合遗传算法在发电厂竞价策略中的应用[J].华东电力,2003,31(5):1-3.
作者姓名:董福贵  张世英  张文泉  谭忠富
作者单位:1. 天津大学,管理学院,天津,300072
2. 华北电力大学,工商管理学院,北京,102206
摘    要:电力市场条件下 ,电厂进行投标竞价的目标是在满足相应约束的情况下获得最大的收益。据此建立了电厂报价的数学模型 ,提出了混合遗传算法来求解最优报价方案 ,此模型及算法已在某电厂得到了应用 ,经实践检验 ,效果良好

关 键 词:电力市场  竞价策略  混合遗传算法
文章编号:1001-9529(2003)05-0001-03
修稿时间:2003年1月7日

Application of hybrid genetic algorithm to power plant bidding strategy
DONG Fu gui ,ZHANG Shi ying ,ZHANG Wen quan ,TAN Zhong fu.Application of hybrid genetic algorithm to power plant bidding strategy[J].East China Electric Power,2003,31(5):1-3.
Authors:DONG Fu gui  ZHANG Shi ying  ZHANG Wen quan  TAN Zhong fu
Affiliation:DONG Fu gui 1,ZHANG Shi ying 1,ZHANG Wen quan 2,TAN Zhong fu 2
Abstract:Under the condition of power market, the bidding object is to obtain the maximum benefit while being subject to related constraints. A mathematical bidding model for power plants was established and the hybrid genetic algorithm was adopted to achieve the most optimal bidding program. The model and the algorithm have been applied to the bidding practice in a power plant and the result has been proved good.
Keywords:power market  bidding strategy  hybrid genetic algorithm
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