基于生物地理学的优化技术在多约束经济负荷调度中的应用

P. Roy, S. Ghoshal, S. S. Thakur
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引用次数: 9

摘要

提出了一种求解电力系统约束经济调度问题的基于生物地理的优化技术。考虑了发电机的非线性特性,如阀点负荷、斜坡速率限制、禁区和多种燃料成本函数。应用了两个具有不同特征的经济负荷调度问题,并将其求解质量和计算效率与遗传算法、粒子群算法等优化技术进行了比较。仿真结果表明,该算法优于以往的优化方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biogeography Based Optimization technique applied to multi-constraints economic load dispatch problems
This paper presents Biogeography-Based Optimization (BBO) technique for solving constrained economic dispatch problems in power system. Many nonlinear characteristics of generators, like valve point loading, ramp rate limits, prohibited zone, and multiple fuels cost functions are considered. Two Economic Load Dispatch (ELD) problems with different characteristics are applied and compared its solution quality and computation efficiency to Genetic algorithm (GA), Particle swarm optimization (PSO), and other optimization techniques. The simulation results show that the proposed algorithm outperforms previous optimization methods.
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