主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院

Chinese Journal of Management Science ›› 2000, Vol. ›› Issue (2): 29-33.

Previous Articles     Next Articles

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

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

CLC Number: