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Journal ArticleDOI

Design of fuzzy power system stabilisers for multimachine power systems

Y.-Y. Hsu, +1 more
- Vol. 137, Iss: 3, pp 233-238
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TLDR
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.
Abstract
A new type of power system stabiliser based on fuzzy set theory is proposed to improve the dynamic performance of a multimachine power system. To have good damping character istic over a wide range of operating conditions, speed deviation (δω) and acceleration (δω) of a machine are chosen as the input signals to the fuzzy stabiliser on that particular machine. These input signals are first characterised by a set of linguistic variables using fuzzy set notations. The fuzzy relation matrix, which gives the relationship between stabiliser inputs and stabiliser output, allows a set of fuzzy logic operations that are per formed on stabiliser inputs to obtain the desired stabiliser output. Since only local measurements are required by the fuzzy stabiliser on each generating unit, the proposed stabiliser is of decentralised output feedback form and is easy for practical implementation. The effectiveness of the proposed fuzzy stabiliser is demonstrated by a multimachine system example.

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Citations
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Journal ArticleDOI

Designing fuzzy logic systems

TL;DR: A formulation of a fuzzy logic system (FLS) that can be used to construct nonparametric models of nonlinear processes, given only input-output data is presented.
Proceedings ArticleDOI

A rule-based fuzzy logic controller for a PWM inverter in photo-voltaic energy conversion scheme

TL;DR: The proposed fuzzy rule-based controller for controlling the output power of a pulse width modulation (PWM) inverter in a photovoltaic (PV) energy conversion interface scheme is presented, and is found to give good power tracking performance.
Journal ArticleDOI

Design of augmented fuzzy logic power system stabilizers to enhance power systems stability

TL;DR: In this paper, an augmented fuzzy logic power system stabilizer (PSS) was proposed for stability enhancement of multimachine power systems, where speed deviation and acceleration of a synchronous generator were taken as the input signals to the fuzzy controller.
Journal ArticleDOI

TS-fuzzy controller for UPFC in a multimachine power system

TL;DR: Several computer simulation tests on a multi-machine power system indicate the significant damping performance of this new TS fuzzy controller for the UPFC.
References
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Book

Fuzzy Set Theory - and Its Applications

TL;DR: The book updates the research agenda with chapters on possibility theory, fuzzy logic and approximate reasoning, expert systems, fuzzy control, fuzzy data analysis, decision making and fuzzy set models in operations research.
Book

Power System Control and Stability

TL;DR: In this paper, the authors present a mathematical model of the Synchronous Machine and the effect of speed and acceleration on the stability of a three-phase power system with constant impedance load.
Journal ArticleDOI

Concepts of Synchronous Machine Stability as Affected by Excitation Control

TL;DR: In this article, the stability of synchronous machines under small perturbations is explored by examining the case of a single machine connected to an infinite bus through external reactance, and the results are shown to be similar to ours.
Journal ArticleDOI

Comparing fuzzy logic with classical controller designs

TL;DR: A unified approach for comparing the performance of fuzzy and nonfuzzy controller designs is presented and relationships are established between the gain parameters for the two classes of controller designs.
Journal ArticleDOI

Coordinated Application of Stabilizers in Multimachine Power Systems

TL;DR: The linear state space matrix is derived directly from perturbation of the states of a large scale power system dynamic simulation and a subset of this matrix is used to yield the sensitivity of damping ratios of eigenvalues to stabilization measures in individual machines.