多区域经济调度问题的指数变惯性权重粒子群优化

3rd International Symposium on Environmental Friendly Energies and Applications (EFEA) Pub Date : 2014-11-01 DOI:10.1109/EFEA.2014.7059938

C. Rani, E. Petkov, K. Busawon, M. Farrag

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引用次数: 3

摘要

本文旨在探讨指数变化惯性权重因子粒子群算法(PSO-EVIWF)在考虑各区域阀点负荷的多区域经济调度问题中的性能。在4个互联区域16台发电机的标准测试系统上验证了该算法的有效性。文中给出了该方法的搜索能力和收敛性。仿真结果表明，PSO-EVIWF具有高质量解和平滑收敛的特点，是求解MAED问题的一种备选方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Particle swarm optimization with Exponentially Varying Inertia Weight Factor for solving Multi-Area Economic Dispatch problem

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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3rd International Symposium on Environmental Friendly Energies and Applications (EFEA)

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