Economic dispatch with piecewise quadratic cost functions using particle swarm optimization / Mohamad Erzat Nahari

This paper presents a technique to solve economic dispatch (ED) with piecewise quadratic cost function (PQCF) by using particle swarm optimization (PSO) technique. Traditionally, each generator is represented by a single cost function. However, it is more realistic to represent the cost function as...

全面介绍

Saved in:
书目详细资料
主要作者: Nahari, Mohamad Erzat
格式: Thesis
语言:English
出版: 2012
主题:
在线阅读:https://ir.uitm.edu.my/id/eprint/67086/2/67086.pdf
标签: 添加标签
没有标签, 成为第一个标记此记录!
实物特征
总结:This paper presents a technique to solve economic dispatch (ED) with piecewise quadratic cost function (PQCF) by using particle swarm optimization (PSO) technique. Traditionally, each generator is represented by a single cost function. However, it is more realistic to represent the cost function as a piecewise quadratic function when deal with generation units that use multiple fuel sources. In this study, the proposed PSO technique was tested on 10 units system. The results obtained show that the proposed PSO method was indeed capable of obtaining the solutions of PQCF problems.