遗传-模拟退火算法在电厂机组负荷分配中的应用  

Application of GA-SA for Load Allocation Among Power Generating Units

作　　者：郭泽军[1] 杨彩明[1] 黄文华[1] 刘乐星[2] 

机构地区：[1]三峡大学电气信息学院,宜昌443002 [2]广州工程技术职业学院,广州510075

出　　处：《职大学报》2006年第4期69-71,120,共4页Journal of the Staff and Worker’s University

摘　　要：随着电力市场的发展,机组负荷优化分配作为一种可提高电厂经济性的手段,越来越成为一个令人感兴趣的研究课题,但目前仍没有得到一种绝对严格的算法。本文引入模糊理论提出了电站机组负荷分配模型,并运用遗传-模拟退火算法求解。该算法不同于常规优化算法的特点在于:容易得到全局最优解,有较强的鲁棒性,适合大规模的复杂系统求解。最后,利用一个算例阐述了该算法的有效性。With the development of power market.The op-timization load allocatio n among powergenerating sets.which is a method that is used to improve the econ omic of power station,is becoming a more interesting research topic,but there is n't all absolutely effective algorithm until now.This paper proposes a model for the optimization load allocation among power generat-ing sets by using fuzzy th eory and solve it with the GA-SA.This algo thmis superior to usual one in easier getting best solution in whole place,having better robust and being suitable f or solvingcomplicated systems.Finally an example is given to illustrate the eff ectiveness of the approach.

关 键 词：电力系统 机组组合 负荷分配 遗传-模拟退火算法 

分 类 号：TM714[电气工程—电力系统及自动化] TM744