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Power system stabilizer based on fuzzy logic.

机译:基于模糊逻辑的电力系统稳定器。

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摘要

In this thesis, the development of a fuzzy logic based power system stabilizer (FLPSS) is described. The FLPSS is responsible for maintaining the power system stability and enhancing the closed loop performance.;The FLC structure, design, and sensitivity is investigated. An automatic Parameters tuning algorithm is proposed to tune the FLC parameters in order to achieve the desired performance. Two new rule generation methods are proposed to automatically generate the fuzzy rule set from a sampled data set.;An interactive simulation fuzzy logic design tool (FDT) is developed using C++/C programing languages. The FDT facilitates the understanding and the design of the fuzzy logic controllers.;Simulation studies and comparison between the FLPSS and the conventional power system stabilizer (CPSS) using a single machine model connected to an infinite bus are conducted. For further verification, the FLPSS has been applied to a multi-machine model of the power system. The performance of the FLPSS is satisfactory and is discussed.;The FLPSS has also been implemented using a low cost Intel 8051FA micro controller and tested on an experimental physical power system laboratory set up to model a simple power system of one machine connected to the infinite bus through a double circuit transmission line. The 8051FA micro-controller based FLPSS handles at the same time the data acquisition system and the fuzzy logic control algorithm. Experimental tests and results are fully discussed.
机译:本文描述了一种基于模糊逻辑的电力系统稳定器(FLPSS)的开发。 FLPSS负责维护电力系统的稳定性并增强闭环性能。;研究了FLC的结构,设计和灵敏度。提出了一种自动参数调整算法来调整FLC参数,以实现所需的性能。提出了两种新的规则生成方法,可以从采样数据集中自动生成模糊规则集。;使用C ++ / C编程语言开发了交互式仿真模糊逻辑设计工具(FDT)。 FDT促进了模糊逻辑控制器的理解和设计。进行了FLPSS与使用连接到无限总线的单个机器模型的常规电力系统稳定器(CPSS)之间的仿真研究和比较。为了进一步验证,FLPSS已应用于电力系统的多机模型。 FLPSS的性能令人满意,并进行了讨论。该FLPSS还使用低成本的Intel 8051FA微控制器实现,并在实验物理电源系统实验室进行了测试,该实验室建立了对连接至无穷大设备的一台机器的简单电源系统进行建模的功能。总线通过双回路传输线。基于8051FA微控制器的FLPSS可同时处理数据采集系统和模糊逻辑控制算法。实验测试和结果已得到充分讨论。

著录项

  • 作者

    El-Metwally, Khaled Ali M.;

  • 作者单位

    University of Calgary (Canada).;

  • 授予单位 University of Calgary (Canada).;
  • 学科 Engineering Electronics and Electrical.;Artificial Intelligence.
  • 学位 M.Sc.
  • 年度 1994
  • 页码 263 p.
  • 总页数 263
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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