Power System Stabilizer Design Using Compressed Rule Base of Fuzzy Logic Controller

Dhanesh Kumar Sambariya

doi:doi:10.11648/j.jeee.20150303.16

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Power System Stabilizer Design Using Compressed Rule Base of Fuzzy Logic Controller

Dhanesh Kumar Sambariya

Published in Journal of Electrical and Electronic Engineering (Volume 3, Issue 3)

Received: 9 June 2015 Accepted: 18 June 2015 Published: 2 July 2015

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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.

Published in	Journal of Electrical and Electronic Engineering (Volume 3, Issue 3)
DOI	10.11648/j.jeee.20150303.16
Page(s)	52-64
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Fuzzy Logic Controller, Rule Base Compression, Compressed Rule FPSS, Single Machine Infinite Bus System, Power System Stabilizer, Dominant Fuzzy Rule Compression

References

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Dhanesh Kumar Sambariya. (2015). Power System Stabilizer Design Using Compressed Rule Base of Fuzzy Logic Controller. Journal of Electrical and Electronic Engineering, 3(3), 52-64. https://doi.org/10.11648/j.jeee.20150303.16

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Dhanesh Kumar Sambariya. Power System Stabilizer Design Using Compressed Rule Base of Fuzzy Logic Controller. J. Electr. Electron. Eng. 2015, 3(3), 52-64. doi: 10.11648/j.jeee.20150303.16

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AMA Style

Dhanesh Kumar Sambariya. Power System Stabilizer Design Using Compressed Rule Base of Fuzzy Logic Controller. J Electr Electron Eng. 2015;3(3):52-64. doi: 10.11648/j.jeee.20150303.16

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@article{10.11648/j.jeee.20150303.16,
  author = {Dhanesh Kumar Sambariya},
  title = {Power System Stabilizer Design Using Compressed Rule Base of Fuzzy Logic Controller},
  journal = {Journal of Electrical and Electronic Engineering},
  volume = {3},
  number = {3},
  pages = {52-64},
  doi = {10.11648/j.jeee.20150303.16},
  url = {https://doi.org/10.11648/j.jeee.20150303.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20150303.16},
  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.},
 year = {2015}
}

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TY  - JOUR
T1  - Power System Stabilizer Design Using Compressed Rule Base of Fuzzy Logic Controller
AU  - Dhanesh Kumar Sambariya
Y1  - 2015/07/02
PY  - 2015
N1  - https://doi.org/10.11648/j.jeee.20150303.16
DO  - 10.11648/j.jeee.20150303.16
T2  - Journal of Electrical and Electronic Engineering
JF  - Journal of Electrical and Electronic Engineering
JO  - Journal of Electrical and Electronic Engineering
SP  - 52
EP  - 64
PB  - Science Publishing Group
SN  - 2329-1605
UR  - https://doi.org/10.11648/j.jeee.20150303.16
AB  - 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.
VL  - 3
IS  - 3
ER  -

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Dhanesh Kumar Sambariya

Department of Electrical Engineering, Rajasthan Technical University, Kota, India

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Dhanesh Kumar Sambariya. (2015). Power System Stabilizer Design Using Compressed Rule Base of Fuzzy Logic Controller. Journal of Electrical and Electronic Engineering, 3(3), 52-64. https://doi.org/10.11648/j.jeee.20150303.16

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ACS Style

Dhanesh Kumar Sambariya. Power System Stabilizer Design Using Compressed Rule Base of Fuzzy Logic Controller. J. Electr. Electron. Eng. 2015, 3(3), 52-64. doi: 10.11648/j.jeee.20150303.16

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AMA Style

Dhanesh Kumar Sambariya. Power System Stabilizer Design Using Compressed Rule Base of Fuzzy Logic Controller. J Electr Electron Eng. 2015;3(3):52-64. doi: 10.11648/j.jeee.20150303.16

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@article{10.11648/j.jeee.20150303.16,
  author = {Dhanesh Kumar Sambariya},
  title = {Power System Stabilizer Design Using Compressed Rule Base of Fuzzy Logic Controller},
  journal = {Journal of Electrical and Electronic Engineering},
  volume = {3},
  number = {3},
  pages = {52-64},
  doi = {10.11648/j.jeee.20150303.16},
  url = {https://doi.org/10.11648/j.jeee.20150303.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20150303.16},
  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.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Power System Stabilizer Design Using Compressed Rule Base of Fuzzy Logic Controller
AU  - Dhanesh Kumar Sambariya
Y1  - 2015/07/02
PY  - 2015
N1  - https://doi.org/10.11648/j.jeee.20150303.16
DO  - 10.11648/j.jeee.20150303.16
T2  - Journal of Electrical and Electronic Engineering
JF  - Journal of Electrical and Electronic Engineering
JO  - Journal of Electrical and Electronic Engineering
SP  - 52
EP  - 64
PB  - Science Publishing Group
SN  - 2329-1605
UR  - https://doi.org/10.11648/j.jeee.20150303.16
AB  - 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.
VL  - 3
IS  - 3
ER  -

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