Implementation of imperialist competitive algorithm to solve non-convex economic dispatch problem

被引：9

作者：

Bijami, Ehsan ^{[1
]}

Jadidoleslam, Morteza ^{[1
]}

Ebrahimi, Akbar ^{[1
]}

Askari, Javad ^{[1
]}

Farsangi, Malihe Maghfoori ^{[2
]}

机构：

[1] Isfahan Univ Technol, Dept Elect & Comp Engn, Esfahan 84156, Iran

[2] Shahid Bahonar Univ Kerman, Dept Elect Engn, Kerman, Iran

来源：

JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS | 2014年 / 37卷 / 02期

关键词：

economic dispatch (ED); imperialist competitive algorithm (ICA); non-smooth cost functions; PARTICLE SWARM OPTIMIZATION; GENETIC ALGORITHM; UNITS; SEARCH;

D O I：

10.1080/02533839.2012.757044

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper presents the application of an evolutionary algorithm, namely the imperialist competitive algorithm (ICA) to solve the economic dispatch (ED) problem. ICA is a population-based optimization algorithm inspired by the socio-political process of imperialistic competition and has proven its superior capabilities, such as faster convergence and better global minimum achievement. Practical ED has non-smooth cost functions subject to various equality and inequality constraints that make the ED problem a nonlinear and non-convex optimization problem. To show the efficiency of the ICA in solving the ED problem, it is applied to three test systems having non-convex solution spaces. Simulation studies verify the power and efficiency of the proposed algorithm.

引用

页码：232 / 242

页数：11

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