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Dynamic Stability Enhancement of Power System Using Intelligent Power System Stabilizer

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Proceedings of Fourth International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 335))

Abstract

The destabilizing effect of high gain in voltage regulators persists in power system. The power oscillations of small magnitude and high frequency, which often persisted in power system, present the limitation to the amount of power transmitted within the system. In this paper, a linearized Heffron–Phillips model of a single machine infinite bus (SMIB) is developed using different controllers like fuzzy logic power system stabilizer (FPSS), PID controller, particle swarm optimization (PSO)-based PID controller for analyzing the stability enhancement in power system. 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) for a different controller has been done. The performance of the SMIB system using FPSS has been analyzed when comparing with conventional controllers used in SMIB. Similarly the PSO is done using different iterations on conventional PID controller. The results of the simulation show that for low frequency oscillations, FPSS is more effective in damping compared to conventional controllers, and similarly PSO-based PID controller is more effective than a conventional PID controller.

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Author information

Authors and Affiliations

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

    Swati Paliwal

  2. Electrical and Electronics Engineering Department, Northern India Engineering College, Delhi, India

    Piyush Sharma & Ajit Kumar Sharma

Authors
  1. Swati Paliwal
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  2. Piyush Sharma
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  3. Ajit Kumar Sharma
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Corresponding author

Correspondence to Swati Paliwal .

Editor information

Editors and Affiliations

  1. Mathematics, National Institute of Technology Silchar, Silchar, Assam, India

    Kedar Nath Das

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

    Kusum Deep

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

    Millie Pant

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

    Jagdish Chand Bansal

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

    Atulya Nagar

Appendix

Appendix

Parameter Values

Generator: M = 7.0 s, D = 0, X d  = 1.8, X q  = 1.76, \( X_{d}^{{\prime }} = 0.3 \), \( T_{do}^{{\prime }} = 7.2940 \), 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, K p  = 278.65, K i  = 271.41, K d  = 18.14.

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Paliwal, S., Sharma, P., Sharma, A.K. (2015). Dynamic Stability Enhancement of Power System Using Intelligent Power System Stabilizer. In: Das, K., Deep, K., Pant, M., Bansal, J., Nagar, A. (eds) Proceedings of Fourth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 335. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2217-0_46

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  • DOI: https://doi.org/10.1007/978-81-322-2217-0_46

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  • Print ISBN: 978-81-322-2216-3

  • Online ISBN: 978-81-322-2217-0

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