文献类型：期刊文献

中文题名：进化优化算法在电力系统机组优化组合中的应用研究

英文题名：Study on the Application of Evolution and Optimization Algorithm to Optimal Generating Unit Commitment of Power System

作者：李一峰[1];刘青松[2]

机构：[1]广东海洋大学信息学院,广东湛江524088;[2]嘉兴学院机电工程学院,浙江嘉兴314001

年份：2007

卷号：5

期号：4

起止页码：56

中文期刊名：广东水利电力职业技术学院学报

外文期刊名：Journal of Guangdong Polytechnic of Water Resources and Electric Engineering

语种：中文

中文关键词：电力系统;优化运行;机组最优启停;进化优化算法;蚁群优化算法

外文关键词：power systems;optimal operation;unit commitment;algorithm of evolution and optimization;ant colony optimization

中文摘要：采用进化优化算法——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,从而可以方便地利用蚁群优化算法来求解。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。对上述算法与传统的求解过程进行仿真比较,证明本优化算法可行、有效。

外文摘要：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.Methods of an additive penalty item are developed to deal with all kinds of constrains of UC.Then,the tabu list is used to restrict states which don't satisfy the constrains.Numerical results demonstrate the feasibility and availability of the algorithm.