Transient stability fuzzy control approach for power systems

T. Guesmi, H. H. Adballah, A. Toumi
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引用次数: 6

Abstract

Power system angle stability can be improved by a wide variety of controls. Some methods have been used effectively for many years, both at generating plants and in transmission network. In this paper, two methods are proposed to improve control stability. The first consists to find the critical clearing time (CCT) by equal area stability criterion and numerical integration. The second interests to fuzzy logic controllers. For this last method, we present the nonlinear model with a Takagi-Sugeno fuzzy model. Then a model-based in fuzzy controller design utilizing the concept of the so-called "parallel distributed compensation" (PDC) is employed. Stability analysis and control design problems can be reduced to linear matrix inequality (LMI) problems. Therefore, they can be solved efficiently in practice by convex programming techniques for LMI's. A single machine infinite bus system is analysed with the proposed methods.
电力系统暂态稳定模糊控制方法
电力系统的角度稳定性可以通过多种控制手段来提高。有些方法已在发电厂和输电网中有效应用多年。本文提出了两种提高控制稳定性的方法。一是采用等面积稳定性判据和数值积分法求临界清流时间。第二个兴趣是模糊逻辑控制器。对于最后一种方法,我们用Takagi-Sugeno模糊模型提出了非线性模型。然后利用“并行分布式补偿”(PDC)的概念设计了一种基于模型的模糊控制器。稳定性分析和控制设计问题可以归结为线性矩阵不等式问题。因此,在实际应用中,采用凸规划技术对LMI进行求解是非常有效的。用所提出的方法对单机无限母线系统进行了分析。
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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