A new approach for real power optimization of generation with nonsmooth cost function using particle swarm optimization

S. Prakash, N. Gopinath, O. Kameswara Satya Prakash
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引用次数: 6

Abstract

This paper describes a successful adaptation of particle swarm optimization (PSO) algorithm to solve the economic dispatch (ED) problem with valve point effects in power system. In this paper, PSO method is used to describe the equality and inequality constraints in the Economic Dispatch problems. The proposed algorithm has been tested on 3 unit system with quadratic cost functions. Numerical example are solved on Matlab 7 platform using PSO method. Numerical results shows that the proposed PSO based ED algorithm can provide comparable dispatch solutions with reduced cost.
提出了一种用粒子群算法求解非光滑代价函数发电实际功率优化的新方法
本文将粒子群优化(PSO)算法成功地应用于解决电力系统中存在阀点效应的经济调度问题。本文利用粒子群算法来描述经济调度问题中的等式约束和不等式约束。该算法已在具有二次代价函数的3单元系统上进行了测试。在Matlab 7平台上,利用粒子群算法对数值算例进行了求解。数值计算结果表明,基于粒子群算法的ED算法能够以较低的成本提供可比较的调度方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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