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主办:中国优选法统筹法与经济数学研究会
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中国管理科学 ›› 2000, Vol. ›› Issue (2): 29-33.

• 论文 • 上一篇    下一篇

基于遗传算法的机组优化组合的应用研究

赖一飞1, 裴金勇2, 章峰3, 纪昌明4   

  1. 1. 武汉水利电力大学, 湖北武汉430072;
    2. 葛州坝水力发电厂, 湖北宜昌443002;
    3. 深圳招发金属幕墙有限公司, 广东深圳518020;
    4. 武汉水利电力大学水利水电学院, 湖北武汉430072
  • 收稿日期:1999-09-02 出版日期:2000-06-28 发布日期:2012-03-06

Application Study for Unit Commitment Based on Genetic Algorithms

LAI Yi-fei1, PEI Jing-yong2, ZHANG Feng3, JI Chang-ming 4   

  1. 1. College of Economics&Management, Wuhan Univ of Hydr&Elec., Wuhan 430072, China;
    2. GeZhouBa Hydroelectric Power Plant, Yichang 443002, China;
    3. Shenzhen C. M. D. Aluminium Industry Co., L T D, Shenzhen 518020, China;
    4. College of Water Conservancy&Hydropow er Engineering, Wuhan Univ. of Hydro. &Elec., Wuhan 430072, China
  • Received:1999-09-02 Online:2000-06-28 Published:2012-03-06

摘要: 火电厂机组优化组合问题是一个复杂的优化问题,本文提出了用于求解机组优化组合的一种改进的遗传算法方法,取得了较好的计算结果。

关键词: 机组组合, 遗传算法, 耗量最少

Abstract: The solution to the unit commitment problem (UCP) in the thermal power plant is a complex optimization problem. An advanced genetic algorithm method to the unit commitment problems is proposed. Numerical results show an improvement in the solution cost compared to the results obtained previously.

Key words: unit commitment, genetic algorithms, minimum operating cost

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