Economic Load Dispatch Using Adaptive Social Acceleration Constant Based Particle Swarm Optimization

被引：14

作者：

Jain N.K. ^{[1
]}

Nangia U. ^{[1
]}

Jain J. ^{[1
]}

机构：

[1] Electrical Engineering Department, Delhi Technological University, Delhi

来源：

Journal of The Institution of Engineers (India): Series B | 2018年 / 99卷 / 05期

关键词：

Convergence; Economic load dispatch; Iteration; Kounts; PSO;

D O I：

10.1007/s40031-018-0322-z

中图分类号：

学科分类号：

摘要：

In this paper, an Adaptive Social Acceleration Constant based Particle Swarm Optimization (ASACPSO) has been developed which uses the best value of social acceleration constant (Csg). Three formulations of Csg have been used to search for the best value of Csg. These three formulations led to the development of three algorithms–ALDPSO, AELDPSO-I and AELDPSO-II which were implemented for Economic Load Dispatch of IEEE 5 bus, 14 bus and 30 bus systems. The best value of Csg was selected based on the minimum number of Kounts i.e. number of function evaluations required to minimize the function. This value of Csg was directly used in basic PSO algorithm which led to the development of ASACPSO algorithm. ASACPSO was found to converge faster and give more accurate results compared to BPSO for IEEE 5, 14 and 30 bus systems. © 2018, The Institution of Engineers (India).

引用

页码：431 / 439

页数：8

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