Economic dispatch using particle swarm optimization: A review

被引：141

作者：

Mahor, Amita ^{[1
]}

Prasad, Vishnu ^{[2
]}

Rangnekar, Saroj ^{[1
]}

机构：

[1] Maulana Azad Natl Inst Technol, Energy Ctr, Dept Energy, Bhopal 462051, Madhya Pradesh, India

[2] Maulana Azad Natl Inst Technol, Dept Civil Engn, Bhopal 462051, Madhya Pradesh, India

来源：

RENEWABLE & SUSTAINABLE ENERGY REVIEWS | 2009年 / 13卷 / 08期

关键词：

Economic dispatch; Problem formulation; Particle swarm optimization; EVOLUTIONARY PROGRAMMING TECHNIQUES; GENETIC ALGORITHM SOLUTION; LOAD DISPATCH; RESERVE; SEARCH; UNITS;

D O I：

10.1016/j.rser.2009.03.007

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Electrical power industry restructuring has created highly vibrant and competitive market that altered many aspects of the power industry. In this changed scenario, scarcity of energy resources, increasing power generation cost, environment concern, ever growing demand for electrical energy necessitate optimal economic dispatch. Practical economic dispatch (ED) problems have nonlinear, non-convex type objective function with intense equality and inequality constraints. The conventional optimization methods are not able to solve such problems as due to local optimum solution convergence. Metaheuristic optimization techniques especially particle swarm optimization (PSO) has gained an incredible recognition as the solution algorithm for such type of ED problems in last decade. The application of PSO in ED problem, which is considered as one of the most complex optimization problem has been summarized in present paper. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：2134 / 2141

页数：8

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