最佳STATCOM尺寸和放置使用粒子Swarn优化

Y. del Valle, J. Hernandez, G. Venayagamoorthy, R. Harley
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引用次数: 48

摘要

传统上,启发式方法用于确定小型电力系统中柔性交流输电系统(FACTS)设备的尺寸和位置。然而,需要更复杂的方法将它们放置在一个大的电网中。近年来,粒子群优化(PSO)技术被应用于电力工程优化问题中,取得了比经典方法更好的结果。本文介绍了粒子群算法在电力系统静态补偿器优化配置中的应用。以45总线系统(巴西电网的一部分)为例说明了该技术。结果表明,粒子群算法能够找到具有统计显著性和高度收敛性的最优解。并对方法、结果和结论作了详细说明
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal STATCOM Sizing and Placement Using Particle Swarn Optimization
Heuristic approaches are traditionally applied to find the size and location of flexible AC transmission systems (FACTS) devices in a small power system. Nevertheless, more sophisticated methods are required for placing them in a large power network. Recently, the particle swarm optimization (PSO) technique has been applied to solve power engineering optimization problems giving better results than classical methods. This paper shows the application of PSO for optimal sizing and allocation of a static compensator (STATCOM) in a power system. A 45 bus system (part of the Brazilian power network) is used as an example to illustrate the technique. Results show that the PSO is able to find the best solution with statistical significance and a high degree of convergence. A detailed description of the method, results and conclusions are also presented
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