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Power System Stability Enhancement Using Fuzzy Logic Based Power System Stabilizer

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Proceedings of the Third International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 258))

Abstract

In this paper a linearized Heffron-Philips model of a Single Machine Infinite Bus (SMIB) power system with a Fuzzy Logic Power System Stabilizer (FPSS) is developed for different membership functions. For FPSS, speed deviation and acceleration deviation are taken as inputs. Comparison of the effectiveness (steady state error, ess, overshoot (Mp) and settling time (ts) of FPSS for different membership functions with conventional PSS and without PSS is done. The performance of the SMIB system has improved significantly compared to SMIB system without PSS/with PSS. The results of the simulation show that for low frequency oscillations, FPSS is more effective in damping compared to conventional controllers. Further this paper investigates the design and implementation of a Reduced Rule Fuzzy Logic Power System Stabilizer (RLFPSS). A Reduced Rule Fuzzy Logic Power System Stabilizer for different membership functions is proposed. The effectiveness of the RLFPSS for different membership functions is illustrated with simulation carried out in MATLAB.

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Authors and Affiliations

  1. Department of Electrical Engineering, National Institute of Technology, Kurukshetra, Haryana, India

    V. K. Tayal & J. S. Lather

  2. School of Electrical, Electronics and Communication Engineering, Galgotias University, Greater Noida, India

    Piyush Sharma

  3. Electrical and Electronics Engineering Department, Amity University, Noida, India

    S. K. Sinha

Authors
  1. V. K. Tayal
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  2. J. S. Lather
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  3. Piyush Sharma
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  4. S. K. Sinha
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Corresponding author

Correspondence to V. K. Tayal .

Editor information

Editors and Affiliations

  1. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Millie Pant

  2. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  3. Department of Mathematics and Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

  4. Department of Applied Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

Appendix

Appendix

Parameter Values

Generator: M = 7.0 s., D = 0, X d  = 1.8, X q  = 1.76, X′ d  = 0.3, T′ do  = 7.2940, ω b  = 314

Exciter: (IEEE Type ST1): K A  = 200, T A  = 0.02 s.

T 1 = 0.154, T 2 = 0.033, K S  = 9.5, T W  = 1.4

K 1 = 0.7636, K 2 = 0.8644, K 3 = 0.3231, K 4 = 1.4189, K 5 = 0.1463, K 6 = 0.4167

Input1 = 1.8, Input2 = 29.56, Output = 1.06.

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Tayal, V.K., Lather, J.S., Sharma, P., Sinha, S.K. (2014). Power System Stability Enhancement Using Fuzzy Logic Based Power System Stabilizer. In: Pant, M., Deep, K., Nagar, A., Bansal, J. (eds) Proceedings of the Third International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 258. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1771-8_6

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  • DOI: https://doi.org/10.1007/978-81-322-1771-8_6

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1770-1

  • Online ISBN: 978-81-322-1771-8

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