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Comparative Performance Analysis of Particle Swarm Optimization and Interval Type-2 Fuzzy Logic-Based TCSC Controller Design

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Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 236))

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Abstract

In this paper, an interval type-2 fuzzy logic controller (IT2FLC) is proposed for thyristor-controlled series capacitor (TCSC) to improve power system damping. It has been tested on the single-machine infinite-bus (SMIB) system. The proposed controller performance is compared with particle swarm optimization (PSO) and type-1 fuzzy logic controller (T1FLC)-based TCSC. In this problem, the PSO algorithm is applied to find out the optimal values of parameters of lead-lag compensator-based TCSC controller. The comparative performance is analyzed based on the simulation results obtained for rotor speed deviation and power angle deviation plot, and it has been found that for damping oscillations of SMIB system, the proposed IT2FLC is quite effective. The proposed controller is also robust subjected to different operating conditions and parameter variation of the power system.

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Author information

Authors and Affiliations

  1. Department of Electronics and Computer Engineering, I. I. T Roorkee, Roorkee, India

    Manoj Kumar Panda & Vijay Kumar

  2. Department of Electrical Engineering, I. I. T Roorkee, Roorkee, India

    G. N. Pillai

Authors
  1. Manoj Kumar Panda
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  2. G. N. Pillai
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  3. Vijay Kumar
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Corresponding author

Correspondence to Manoj Kumar Panda .

Editor information

Editors and Affiliations

  1. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    B. V. Babu

  2. Department of Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

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

    Kusum Deep

  4. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, India

    Millie Pant

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

    Jagdish Chand Bansal

  6. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    Kanad Ray

  7. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    Umesh Gupta

Appendix

Appendix

All data are in per unit (pu) unless specified. Generator: M \(=\) 9.26 s, D \(=\) 0, \({X}_{d }= 0.973, {X}_{q }= 0.55, {X}^{{\prime }}_{d }= 0.19, {T}^{{\prime }}_{\text {do}}\,= 7.76\), f \(=\) 60 Hz, X \(=\) 0.997, Exciter: \({K}_{A }= 50, {T}_{A }= 0.05\,{\text {s}}\), TCSC: \({X}_{\text {TCSC0}}\,= 0.2169, {X}_{C }= 0.2 {X}, {X}_{P}= 0.25 {X}_{C}\).

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Panda, M.K., Pillai, G.N., Kumar, V. (2014). Comparative Performance Analysis of Particle Swarm Optimization and Interval Type-2 Fuzzy Logic-Based TCSC Controller Design. In: Babu, B., et al. Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012. Advances in Intelligent Systems and Computing, vol 236. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1602-5_8

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  • DOI: https://doi.org/10.1007/978-81-322-1602-5_8

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  • Publisher Name: Springer, New Delhi

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  • Online ISBN: 978-81-322-1602-5

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