Particle Swarm Optimization Solution for Power System Operation Problems

M. Kheshti, L. Ding
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引用次数: 6

Abstract

Application of particle swarm optimization (PSO) algorithm on power system operation is studied in this chapter. Relay protection coordination in distribution networks and economic dispatch of generators in the grid are defined as two of power system-related optimization problems where they are solved using PSO. Two case study systems are conducted. The first case study system investigates applicability of PSO on providing proper overcurrent relay settings in the grid, while in the second case study system, the economic dispatch of a 15-unit system is solved where PSO successfully provides the optimum power output of generators with minimum fuel costs to satisfy the load demands and operation constraints. The simulation results in comparison with other methods show the effectiveness of PSO against other algorithms with higher quality of solution and less fuel costs on the same test system.
电力系统运行问题的粒子群优化解
本章研究了粒子群优化算法在电力系统运行中的应用。将配电网中的继电保护协调和电网中发电机的经济调度定义为两个与电力系统相关的优化问题,并利用粒子群算法进行求解。进行了两个案例研究系统。第一个案例研究系统研究了PSO在电网中提供适当过流继电器设置的适用性,而在第二个案例研究系统中,解决了15个机组系统的经济调度问题,其中PSO成功地以最小的燃料成本为发电机提供最佳输出功率,以满足负载需求和运行约束。仿真结果表明,在相同的测试系统上,粒子群算法对其他算法具有较好的解质量和较低的燃料成本。
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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