改进的粒子群优化算法求解电力经济调度  

Improved particle swarm optimization sloving economic dispatch of electric power

作　　者：黄平[1,2] 张尧 曾红 

机构地区：[1]华南理工大学数学系,广东广州510640 [2]电力学院,广东广州510640 [3]广东电网教育培训中心,广东广州510640

出　　处：《华中科技大学学报（自然科学版）》2010年第1期121-124,共4页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：国家自然科学基金资助项目(19902005)

摘　　要：将迁移思想引入到标准粒子群优化算法中,把流动迁移算子与粒子群优化算法(PSO)的定向搜索算子结合起来,提出了一种改进粒子群优化算法.将该算法用于求解电力系统经济调度优化问题,采用了非对称惩罚策略处理功率平衡约束,使构造的适应值函数更合理,给出了算法实施的具体步骤.对15机组与40机组系统进行仿真实验,结果表明新算法所得最优解均好于PSO,提高了结果的精度.An improved particle swarm optimization algorithm was presented by integrating migrate operator with directional search technique of particle swarm optimization （PSO）. The new algorithm was applied to solve economic dispatch problem of power systems, an asymmetrical penalty strategy was used to construct more suitable fitness function and detailed calculation procedure was given. The algorithm was tested and validated on 15 units and 40 units system. The resuhs show that the EPSO for economic dispatch （ED） problem of electric power is powerful and efficient.

关 键 词：电力系统 粒子群优化 经济调度 迁移算子 惩罚策略 

分 类 号：TM73[电气工程—电力系统及自动化]