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Power System Stabilizer Tuning Algorithm in a Multimachine System Based on S-Domain and Time Domain System Performance Measures

Author

Listed:
  • Predrag Marić

    (Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, University of Osijek, 31000 Osijek, Croatia)

  • Ružica Kljajić

    (Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, University of Osijek, 31000 Osijek, Croatia)

  • Harold R. Chamorro

    (KTH Royal Institute of Technology, 100 44 Stockholm, Sweden)

  • Hrvoje Glavaš

    (Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, University of Osijek, 31000 Osijek, Croatia)

Abstract

One of the main characteristics of power systems is keeping voltages within given limits, done by implementing fast automatic voltage regulators (AVR), which can raise generator voltage (i.e., excitation voltage) in a short time to ceiling voltage limits while simultaneously affecting the damping component of the synchronous generator electromagnetic torque. The efficient way to increase damping in the power system is to implement a power system stabilizer (PSS) in the excitation circuit of the synchronous generator. This paper proposes an enhanced algorithm for PSS tuning in the multimachine system. The algorithm is based on the analysis of system participation factors and the pole placement method while respecting the time domain behavior of the system after being subdued with a small disturbance. The observed time-domain outputs, namely active power, speed, and rotor angle of the synchronous generator, have been classified and validated with proposed weight functions based on the minimal square deviation between the initial values in a steady-state and all sampled values during the transitional process. The system weight function proposed in this algorithm comprises s-domain and time-domain indices and represents a novel approach for PSS tuning. The proposed algorithm performance is validated on IEEE 14-bus system with a detailed presentation of the results in a graphical and table form.

Suggested Citation

  • Predrag Marić & Ružica Kljajić & Harold R. Chamorro & Hrvoje Glavaš, 2021. "Power System Stabilizer Tuning Algorithm in a Multimachine System Based on S-Domain and Time Domain System Performance Measures," Energies, MDPI, vol. 14(18), pages 1-30, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:18:p:5644-:d:631546
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    References listed on IDEAS

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    1. Humberto Verdejo & Rodrigo Torres & Victor Pino & Wolfgang Kliemann & Cristhian Becker & José Delpiano, 2019. "Tuning of Controllers in Power Systems Using a Heuristic-Stochastic Approach," Energies, MDPI, vol. 12(12), pages 1-25, June.
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