盛戈皞,涂光瑜,罗毅

• 1:华中科技大学电力工程系
• 2:华中科技大学电力工程系
• 3:华中科技大学电力工程系 湖北省武汉市430074
• 4:湖北省武汉市430074

摘要(Abstract)：

作为电力系统自动化的一个重要组成部分,电力系统无功电压控制具有电力系统控制所固有的复杂性、非线性、不精确性及实时性强等特性,其中有些方面难以用传统的数学模型和常规的控制方法来描述和实现。人工智能技术由于具有传统方法所不具备的智能特性,因而在无功电压控制中得到了广泛的关注,并取得了大量的研究成果。本文综述了近年来专家系统(ES)、人工神经网络(ANN)、模糊理论(FT)、遗传算法(GA)以及多Agent系统(MAS)等人工智能技术在电力系统无功电压控制中应用的主要成果和方法,分析比较了它们各自的应用特点,并提出了一些需要解决的问题和值得进一步研究的方向。

关键词(KeyWords)： 人工智能;无功电压控制;电力系统

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 盛戈皞,涂光瑜,罗毅

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