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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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Proceedings ArticleDOI

A fuzzy logic controller applied to power system stabilizer for a synchronous machine power system

TL;DR: Simulation results show that the proposed fuzzy logic power system stabilizer provides good dynamic performance over a wide range of operating conditions subject to different disturbances.
Journal ArticleDOI

Large Power Systems Stability Enhancement Using a Delayed Operation Fuzzy Logic Power System Stabilizer

TL;DR: In this paper, a fuzzy logic power system stabilizer (FLPSS) is applied for each machine in the system while its operation is delayed for a short period almost equal to the first half cycle of the power system electromechanical oscillations.
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Design of robust controllers for HVDC links in AC-DC power systems

TL;DR: In this paper, a very simple fuzzy logic controller for HVDC transmission links for fast stabilization of transient oscillations is presented, which does not require a mathematical model of the system to estimate the control input under disturbances.
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Design of a Fuzzy PI Controller for Power System Applications

TL;DR: A new adaptive fuzzy excitation controller for synchronous generators is proposed using fuzzy set theory and produces significant damping in comparison to the conventional controller using a fixed gain structure.
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Design of nonlinear expert supervisory controllers for power system stabilization

TL;DR: In this paper, a nonlinear expert controller for single-machine infinite-bus and multimachine power systems is presented, which uses fuzzy linguistic control for normal and abnormal operating conditions of the power system.
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.