神经网络在模糊逻辑PSS实时整定中的应用

[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems Pub Date : 1993-04-19 DOI:10.1109/ANN.1993.264311

T. Hiyama

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引用次数: 12

摘要

提出了一种模糊逻辑电力系统稳定器，并利用神经网络对其进行实时调谐，使其在更大范围的运行条件下保持最优性能。仿真结果表明了该方法对模糊逻辑电力系统稳定器进行实时整定的有效性。本文所提出的模糊逻辑电力系统稳定器可由微机和a /D、D/ a转换板组成，易于在电力系统中实现。

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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Application of neural network to real time tuning of fuzzy logic PSS

A fuzzy logic power system stabilizer is proposed, and a neural network is utilized for its real time tuning to keep its performance optimal under wider ranges of operating conditions. Simulation results show the efficiency of the proposed real time tuning of the fuzzy logic power system stabilizer by the neural network. The proposed fuzzy logic power system stabilizer can be configured by using a microcomputer and an A/D and a D/A conversion boards, and easily implemented in power systems.<>

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来源期刊

[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems

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