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蒙特卡洛优化法在机组组合问题中的应用

Application of Monte Carlo Optimization in Unit Commitment
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摘要 机组组合(UC)是电力系统经济运行的重要内容之一.根据UC约束特点将机组组合问题分解为单机多时段和多机单时段问题.基于蒙特卡洛(MC)优化法原理,解决单机多时段的启停问题及最后过滤比较找出最优可行解;利用运行费用可导性,解决了爬坡约束并得出多机单时段下的最优解.最后在Matlab 6.1下通过算例验证了该方法的可行性. Unit commitment (UC) plays an important role in the economic operation of electric power system. This paper treats UC as a two-phase problem: single unit for multiple periods and multi-unit for single period . In line with Monte Carlo (MC) optimization method, this paper solves the constraints of start-up and stop, and reaches the optimal solution. The operation cost derivative is used to represent the AFLC factor and gets the optimal solution of a single period. Finally the example is employed to show the feasibility on Matlab 6.1.
作者 王海云 赵宏伟 张晓清
机构地区 后勤工程学院
出处 《后勤工程学院学报》 2004年第4期72-75,共4页 Journal of Logistical Engineering University
关键词 机组组合 蒙特卡洛 经济运行 优化方法 unit commitment Monte Carlo economic operation optimization
分类号 TM732 [电气工程—电力系统及自动化]
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后勤工程学院学报
2004年 第4期

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