Power System Stabilizer model based on Fuzzy-PSO for improving power system stability

2015 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA) Pub Date : 2015-10-01 DOI:10.1109/ICAMIMIA.2015.7508015

R. Syahputra, I. Soesanti

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引用次数: 38

Abstract

This paper proposed a Power System Stabilizer model based on Fuzzy-PSO for improving power system stability. Power System Stabilizer (PSS) is a device that can be used to enhance the damping of power system during low frequency oscillations. In multi-machine power systems, the PSS parameter tuning is a complex exercise due to the presence of several poorly damped modes of oscillation. The problem is further being complicated by continuous varied in power system operating conditions. In order to enhance the performance of PSS, the combination of fuzzy logic and particle swarm optimization (PSO) method is used in this study. Simulations were carried out using several fault tests at transmission line on a two-area multi-machine power system. In this work, Delta w PSS and Delta Pa PSS has been used for comparison with the fuzzy-PSO PSS. The result shows that power transfer response using the fuzzy-PSO PSS is more robust than Delta w PSS and Delta Pa PSS, especially for three phase faults and phase to ground faults.

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基于模糊粒子群的电力系统稳定器模型提高电力系统稳定性

为了提高电力系统的稳定性，提出了一种基于模糊粒子群算法的电力系统稳定器模型。电力系统稳定器(PSS)是一种用于增强电力系统低频振荡时的阻尼的装置。在多机电力系统中，由于存在几种低阻尼振荡模式，PSS参数调谐是一项复杂的工作。由于电力系统运行工况的不断变化，使问题进一步复杂化。为了提高PSS的性能，本研究将模糊逻辑和粒子群优化(PSO)方法相结合。对某两区多机电力系统的输电线路进行了多次故障试验，并进行了仿真。在这项工作中，Delta w PSS和Delta Pa PSS与模糊pso PSS进行了比较。结果表明，采用模糊pso PSS的输电响应鲁棒性优于w PSS和Pa PSS，特别是在三相故障和相地故障情况下。

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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2015 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA)

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