蚁群算法在电力系统机组优化组合中的应用研究  

A Study On the Application of Colony Algorithm to Optimal Generating Unit Commitment of Power System

作　　者：王琨[1] 刘青松[2] 

机构地区：[1]山西大学工程学院,山西太原030013 [2]嘉兴学院电气工程系,浙江嘉兴314001

出　　处：《电力学报》2005年第2期112-115,共4页Journal of Electric Power

摘　　要：采用模拟进化优化算法———蚁群优化算法来求解机组最优启停问题。引入了状态、决策、路径等概念,把机组最优启停问题设计成蚁群算法模式,通过附加惩罚项来处理各种约束,用tabu表限制不满足约束的状态,使得蚂蚁的搜索总在可行域内进行,对算法的搜索进程起到了有效的引导作用。仿真证明利用蚁群优化算法求解机组最优启停问题是可行的、有效的。The optimal unit commitment is solved via the Ant Colony Optimization algorithm in this paper. Concepts of a state and a decision are introduced, and the definition of a path is proposed. Thereby, the unit commitment problem is designed with a simulation to ACO. the methods of an additive penalty item are developed to deal with all kinds of constrains of UC. First, the tabu list is used to restrict states which don＇t ：satisfy the constrains. Numerical results demonstrate the feasibility and availability of the algorithm.

关 键 词：电力系统优化运行 机组最优启停 蚁群 优化算法 

分 类 号：TM761.2[电气工程—电力系统及自动化]