摘要
提出了一种应用混沌优化理论求解电力系统经济负荷分配的新方法。该方法以发电费用信息为目标函数 ,将优化变量各机组有功功率转变成混沌变量 ,利用混沌运动的遍历性、随机性和规律性直接对目标函数寻优。该方法可考虑网损及传统拉格朗日乘数法不能计及的汽轮机的阀点效应 ,从而能更有效地保证解的精度 ,同时将其与遗传算法进行了比较。仿真结果表明 ,所提出的方法搜索速度快 ,求解精度高 ,易于掌握 。
By applying chaotic optimization, which uses the ergodicity, stochastic property, and regularity of chaotic motion, a new algorithm for solution economic dispatch of power systems is proposed in this paper. It utilizes payoff information of candidate solutions to evaluate their optimality without any special requests for target function, and can consider the loss of transmission and the valve point discontinuities which can't be solved by the traditional Lagr ange multiplier method, so the accuracy of solutions is improved. Moreover, comparison of this method with genetic algorithm is made. Simulation results show that chaotic optimization method for economic dispatch of power systems is not only fast, but also simple and effective.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2000年第10期36-40,共5页
Proceedings of the CSEE
基金
哈尔滨工程大学科研基金资助项目! (2 0 0 0JH0 0 0 7)
关键词
经济负荷分配
混沌优化
阀点效应
电力系统
economic dispatch
chaotic optimization
valve point effect
power systems
