Multiobjective power and emission dispatch using modified group search optimization method

被引：23

作者：

Daryani, Narges ^{[1
]}

Zare, Kazem ^{[1
]}

机构：

[1] Univ Tabriz, Fac Elect & Comp Engn, Tabriz, Iran

来源：

AIN SHAMS ENGINEERING JOURNAL | 2018年 / 9卷 / 03期

关键词：

Multi-objective optimization; Environmental dispatch; Group search optimization; Combined power and emission dispatch; PARTICLE SWARM OPTIMIZATION; ECONOMIC LOAD DISPATCH; CODED GENETIC ALGORITHM; ENVIRONMENTAL/ECONOMIC DISPATCH; TABU SEARCH; NONCONVEX;

D O I：

10.1016/j.asej.2016.03.001

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper presents heuristic modified group search optimization (MGSO) algorithm for solving multi-objective combined economic power and emission dispatch problem. Some modifications are applied on the conventional GSO method to improve its convergence characteristics. Simulations are carried out on IEEE 30 bus standard system in order to validate effectiveness of the proposed method. Simulation analyses are implemented for mentioned system with and without loss considering pure power, pure emission and combined economic power and emission dispatch. Numerical results indicate that, the proposed method has better performance and convergence time, in comparison with some recently published methods. (C) 2016 Ain Shams University. Production and hosting by Elsevier B.V.

引用

页码：319 / 328

页数：10

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