Volume 3, Issue 3, June 2015, Page: 52-64
Power System Stabilizer Design Using Compressed Rule Base of Fuzzy Logic Controller
Dhanesh Kumar Sambariya, Department of Electrical Engineering, Rajasthan Technical University, Kota, India
Received: Jun. 9, 2015;       Accepted: Jun. 18, 2015;       Published: Jul. 2, 2015
DOI: 10.11648/j.jeee.20150303.16      View  4214      Downloads  194
Abstract
In this paper, the fuzzy logic controller (FLC) based power system stabilizer (PSS) with compressed / reduced rule is presented. The FLC rule base is generally based on empirical control rules. In this method, the fuzzy system with a large number of fuzzy rules is compressed to a fuzzy system with a reduced number of rules by removing the redundant and inconsistent rules from the rule base which doesn’t affect the performance of the fuzzy logic controller. The FLC based PSS has two input signals as speed deviation and derivative of speed deviation with an appropriate number of linguistic variables. The number of compressed rules in the rule base through the proposed dominant rule algorithm is reduced to a number as low in the number of selected linguistic variables to represent input and output signals. The application of the FLC with compressed rules as a power system stabilizer (CR-FPSS) is investigated by simulation studies on a single-machine infinite-bus system (SMIB). The superior performance of this compressed rule based fuzzy PSS (CR-FPSS) as compared to conventional PSS and proves the better efficiency of this new CR-FPSS. The reduced CPU computational time and storage space as compared to the fuzzy power system stabilizer (FPSS), proves its applicability in control.
Keywords
Fuzzy Logic Controller, Rule Base Compression, Compressed Rule FPSS, Single Machine Infinite Bus System, Power System Stabilizer, Dominant Fuzzy Rule Compression
To cite this article
Dhanesh Kumar Sambariya, Power System Stabilizer Design Using Compressed Rule Base of Fuzzy Logic Controller, Journal of Electrical and Electronic Engineering. Vol. 3, No. 3, 2015, pp. 52-64. doi: 10.11648/j.jeee.20150303.16
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