基于粒子群算法的电压稳定性分析

D. Gurusinghe, W. Ongsakul
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引用次数: 5

摘要

确定电压崩溃点的有效方法对电力系统的规划和运行有很大的帮助,但现有的大多数方法都需要进行多次潮流计算,不能提供最优运行状态,即系统在不超过发电机功率限制的情况下的最大负荷点。本文介绍了一种新的粒子群优化方法,该方法不需要连续的潮流计算,直接确定电压崩溃点,并提供最优运行条件。该方法已在斯里兰卡的6母线测试系统和182母线电力系统中进行了测试,并通过考虑单元件停电和静态无功补偿器的作用,对其在电压稳定性分析中的各种应用进行了评估。利用连续潮流法对该方法进行了性能评价,并通过特征值分析验证了该方法的最优性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Particle swarm optimization for voltage stability analysis
An efficient approach to determine the voltage collapse point greatly assists planning and operation of power system, but most of existing methods are engaged with several power flow computations and they do not provide the optimal operating condition, which is the maximum loading point of a system without exceeding the power limits of generators. This paper introduces a novel approach by particle swarm optimization, which directly determines the voltage collapse point without successive power flow computations and furnishes the optimal operating condition as well. The proposed approach has been tested with a 6-bus test system and 182-bus power system of Sri Lanka as well as it is assessed for diverse applications of voltage stability analysis by concerning about single element outage and the role of static var compensators. Further, performance of the proposed approach is evaluated with continuation power flow method and the optimality is verified by eigenvalue analysis.
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