Particle Swarm Optimization with Exponentially Varying Inertia Weight Factor for Solving Multi-Area Economic Dispatch Problem

被引：0
|
作者：
Rani, C. [1 ]
Petkov, E. [1 ]
Busawon, K. [1 ]
Farrag, M. [2 ]
机构：
[1] Northumbria Univ, Newcastle Upon Tyne, Tyne & Wear, England
[2] Glasgow Caledonian Univ, Glasgow, Lanark, Scotland
来源：
3RD INTERNATIONAL SYMPOSIUM ON ENVIRONMENTAL FRIENDLY ENERGIES AND APPLICATIONS (EFEA 2014) | 2014年
关键词：
Economic dispatch; Multi area economic dispatch; particle swarm optimisation; exponentially varying inertia weight factor; PRACTICAL APPROACH; UNIT COMMITMENT;
D O I：
暂无
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
This paper aimed at exploring the performance of Particle Swarm Optimisation with Exponentially Varying Inertia Weight Factor (PSO-EVIWF) for solving Multi-Area Economic Dispatch (MAED) problem with tie line constraints considering valve-point loading in each area. The effectiveness of the proposed algorithm has been verified on 4 interconnected areas with 16 generators standard test system. The paper presents the search capability and convergence behavior of the proposed method. Simulation results show that the PSO-EVIWF achieved quality solutions and smooth convergence characteristics and it is an alternative method for solving MAED problem.
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页数：6
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