Computing the Load Margin of Power Systems Using Particle Swarm Optimization

M. E. Bento, R. Ramos
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引用次数: 2

Abstract

The load margin is an important index used in power system operation centers to assess how far the system is from an instability mechanism. Usually, this load margin is calculated considering the Voltage Stability requirements through static models. However, as the load level increases in one direction, low-dampened low-frequency oscillation modes can arise and they compromise the angular stability of the system. Thus, it is important to consider the dynamic model of the system and determine the load margin by meeting the requirements of Voltage and Small-Signal Stability. This article proposes a method based on Particle Swarm Optimization to determine the load margin of power systems meeting the requirements of the Voltage Stability (voltage collapse) and Small-Signal Stability (eigenvalues with low damping). Case studies on the IEEE 39-bus system are presented and discussed.
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基于粒子群算法的电力系统负荷裕度计算
负荷裕度是电力系统运行中心用来评估系统离不稳定机制有多远的重要指标。通常,该负载余量是通过静态模型考虑电压稳定性要求来计算的。然而,随着负载水平在一个方向上的增加,可能出现低阻尼的低频振荡模式,并危及系统的角稳定性。因此,考虑系统的动态模型,并通过满足电压和小信号稳定性的要求来确定负载裕度是很重要的。本文提出了一种基于粒子群优化的电力系统负荷裕度确定方法,以确定满足电压稳定(电压崩溃)和小信号稳定(低阻尼特征值)要求的电力系统的负荷裕度。对IEEE 39总线系统进行了实例分析和讨论。
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