Optimal tuning of fractional‐order proportional, integral, derivative and tilt‐integral‐derivative based power system stabilizers using Runge Kutta optimizer

Low‐frequency power system oscillation is of great concern as it may lead to power system instability. Moreover, this action will lead to the abate capability of electric power transfer. By introducing a stabilizing signal into the excitation system, it was possible to improve the damping in the sys...

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Veröffentlicht in:Engineering reports (Hoboken, N.J.) Jg. 4; H. 6
Hauptverfasser: El‐Dabah, Mahmoud Abbas, Kamel, Salah, Abido, Mohammad Ali Yousef, Khan, Baseem
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Hoboken, USA John Wiley & Sons, Inc 01.06.2022
Wiley
Schlagworte:
Algorithms
Damping
Derivatives
FOPID
Integrals
Investigations
Optimization
Optimization algorithms
Performance indices
power system stabilizer
Power transfer
Runge Kutta optimization algorithm
Runge-Kutta method
SMIB
Systems stability
TID
Tuning
ISSN:2577-8196, 2577-8196
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Zusammenfassung:Low‐frequency power system oscillation is of great concern as it may lead to power system instability. Moreover, this action will lead to the abate capability of electric power transfer. By introducing a stabilizing signal into the excitation system, it was possible to improve the damping in the system. The power system stabilizer (PSS) provides this signal. This manuscript aims to find the optimal tuning of three different PSS controllers using a recent optimization algorithm called Runge Kutta optimizer (RUN). Based on the obtained results, the RUN shows superiority and fast convergence over competitive algorithms. In addition, the fractional‐order proportional, integral, derivative (FOPID) and tilt‐integral‐derivative (TID) based PSS shows great damping capability over the lead–lag, PI, and FOPID‐based PSS. Also, the TID‐based PSS achieves better performance indices in terms of the lowest maximum overshoot and minimum settling time. Hence, it is recommended for PSS based controller. This article aims to the optimal tuning of three types of PSS using a recent optimization algorithm called Runge Kutta.
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ISSN:2577-8196
2577-8196
DOI:10.1002/eng2.12492