Optimal tuning of power system stabilizers by probability method

2016 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2016-06-01 DOI:10.1109/ECTICON.2016.7561462

Korakot Thanpisit, I. Ngamroo, W. Nakawiro

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引用次数: 2

Abstract

It is well known that the power system stabilizer (PSS) which is designed at one operating point cannot guarantee the stabilizing effect of PSS over a wide range of operating conditions. To achieve the PSS with high stabilizing performance against various conditions, this paper focuses on the new parameters optimization of PSS by the probability method. The PSS structure is the practical 2nd-order lead-lag compensator with the local input signal. The optimal tuning of PSS parameters is carried out under random operating conditions generated by Monte Carlo method so that the probability of the occurrence of desired damping ratio for target oscillation modes are maximized. The particle swarm optimization is used to solve for optimal PSS parameters. Study results in the IEEE-39 bus New England system confirm that the proposed PSS yields better damping effect than the conventional PSS under various operating conditions and severe faults.

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电力系统稳定器的概率优化整定

电力系统稳定器是在一个运行点上设计的，它不能保证在大范围运行条件下的稳定效果。为了使PSS在各种条件下都具有良好的稳定性能，本文重点研究了用概率方法优化PSS的新参数。PSS结构是一种实用的具有局部输入信号的二阶超前滞后补偿器。在蒙特卡罗方法产生的随机工况下，对PSS参数进行最优整定，使目标振荡模态出现所需阻尼比的概率最大化。采用粒子群算法求解最优PSS参数。在IEEE-39总线新英格兰系统中的研究结果证实，在各种工况和严重故障下，所提出的PSS比常规PSS具有更好的阻尼效果。

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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2016 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)

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