Voltage Stability Constrained Multi-obj ective Optimal Power Flow using Particle Swarm Optimization

P. Dutta, A. Sinha
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引用次数: 5

Abstract

In this paper an efficient technique to solve optimal power flow problem considering both real and reactive sub-problems is proposed. The real power sub-problem is the traditional economic dispatch. The reactive power sub-problem is treated as real power transmission loss minimization problem. Particle swarm optimization method is used for solving the nonlinear optimization problems. While minimizing the objectives voltage stability margin is also maintained. Simulation results for IEEE 30 bus, 57 bus and 118 bus networks are presented to show the effectiveness of the proposed method
基于粒子群算法的电压稳定约束下多目标最优潮流
本文提出了一种同时考虑实子问题和无功子问题的最优潮流求解方法。真正的电力子问题是传统的经济调度。将无功子问题视为实际输电损耗最小化问题。采用粒子群优化方法求解非线性优化问题。在最小化目标电压稳定裕度的同时,也保持了稳定裕度。对IEEE 30总线、57总线和118总线网络的仿真结果表明了该方法的有效性
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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