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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

Transient stability performance comparison of fuzzy logic based pss and gwo based pss

TL;DR: From the results, it is concluded that GWOPSS is effectively enhancing transient stability compared with FLPSS.
Proceedings ArticleDOI

Fuzzy logic based power system stabilizer optimization using C-means clustering method

TL;DR: In this paper, a new linearized Heffron-Philips model of a single machine-infinite bus power system has been developed and a fuzzy logic based stabilizer has been designed and simulated.
Book ChapterDOI

Fuzzy logic control: Hardware implementations

TL;DR: A number of hardware implementations of fuzzy control systems for real-time fuzzy control and tracker for a power system generation unit and many industrial applications developed by the Japanese are described.
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.