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Journal ArticleDOI

A fuzzy logic based stabilizer for a synchronous machine

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TLDR
In this article, the application of a fuzzy logic controller to improve the stability of electric power systems is presented, where the stabilizing signal is computed using the standard fuzzy membership function depending on the speed acceleration state of the generator in the phase plane.
Abstract
The application of a fuzzy logic controller to improve the stability of electric power systems is presented. The stabilizing signal is computed using the standard fuzzy membership function depending on the speed acceleration state of the generator in the phase plane. The required measurement is the speed deviation over two samples. The effectiveness of the proposed stabilizer is demonstrated by simulation studies for different operating conditions and disturbances. >

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Citations
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Book

Introduction to Fuzzy Logic using MATLAB

TL;DR: This paper presents a model for a Fuzzy Rule-Based System that automates the very labor-intensive and therefore time-heavy process of decision-making in the context of classical sets.
Book

Robust Control in Power Systems

TL;DR: In this article, the authors proposed a mixed sensitivity approach using Linear Matrix Inequalities (LMIIN) for loop-shaping in power systems. And they also proposed a control for time-delayed systems.
Journal ArticleDOI

Overview and literature survey of fuzzy set theory in power systems

TL;DR: A survey of publications on applications of fuzzy set theory to power systems and the basic procedures for fuzzy set based methods to solve specific power systems problems is presented.
Journal ArticleDOI

AGC for autonomous power system using combined intelligent techniques

TL;DR: In this article, two intelligent load frequency controllers have been developed to regulate the power output and system frequency by controlling the speed of the generator with the help of fuel rack position control.
Journal ArticleDOI

Damping multimodal power system oscillation using a hybrid fuzzy controller for series connected FACTS devices

TL;DR: This controller is designed by using an incremental fuzzy logic controller in place of a proportional term in a conventional PI controller and provides a wide variation of controller gains in a nonlinear manner.
References
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Book ChapterDOI

Calculus of fuzzy restrictions

TL;DR: The calculus of fuzzy restrictions is concerned with translation of propositions of various types into relational assignment equations, and the study of transformations of fuzzy Restrictions which are induced by linguistic modifiers, truth-functional modifiers, compositions, projections and other operations.
Journal ArticleDOI

An Adaptive Synchronous Machine Stabilizer

TL;DR: In this article, an adaptive synchronous machine stabilizer utilizing the least squares identification with varying forgetting factor and a self-searching control strategy is proposed, which provides excellent damping under varying operating conditions and with different types of disturbances.
Journal ArticleDOI

Design of fuzzy power system stabilisers for multimachine power systems

TL;DR: A new type of power system stabiliser based on fuzzy set theory is proposed to improve the dynamic performance of a multimachine power system and is of decentralised output feedback form and is easy for practical implementation.
Journal ArticleDOI

Rule-based stabilizer for multi-machine power system

TL;DR: In this paper, a rule-based stabilizing control scheme is proposed to improve the overall stability of electric power systems, where several simple rules are prepared for each generator in the system.
Journal ArticleDOI

Application of rule-based stabilising controller to electrical power system

TL;DR: In this paper, a rule-based stabilising controller for electrical power systems is presented, which is suitable for on-line computer control because heavy calculation is not involved and can be easily implemented.