Improving Interarea Mode Oscillation Damping in Multi-Machine Energy Systems through a Coordinated PSS and FACTS Controller Framework

Meysam Zamani, Ghazanfar Shahgholian, Arman Fathollahi (), Amir Mosavi () and Imre Felde
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Meysam Zamani: Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad 8543131, Iran
Ghazanfar Shahgholian: Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad 8543131, Iran
Arman Fathollahi: Department of Electrical and Computer Engineering, Aarhus University, 8200 Aarhus, Denmark
Amir Mosavi: Institute of Information Society, Ludovika University of Public Service, 1083 Budapest, Hungary
Imre Felde: John von Neumann Faculty of Informatics, Obuda University, 1034 Budapest, Hungary

Sustainability, 2023, vol. 15, issue 22, 1-17

Abstract: Power system stability is of paramount importance in the context of energy sustainability. The reliable and efficient operation of power systems is crucial for supporting modern societies, economies, and the growing demand for electricity while minimizing environmental impact and increasing sustainability. Due to the insufficient effect of power system stabilizers (PSSs) on damping the inter-area mode oscillations, Flexible AC Transmission System (FACTS) devices are utilized for damping this mode and stabilizing power systems. In the present study, a novel optimization framework considering different and variable weight coefficients based on eigenvalue locations is presented, and the parameters of PSS and variable impedance devices, including static Volt-Ampere Reactive (VAR) compensator (SVC) and Thyristor-Controlled Series Compensator (TCSC) (comprising amplifying gain factor and time constants of phase-compensating blocks), are optimized in a coordinated manner using the proposed optimization framework built based on genetic algorithm (GA). Moreover, in the suggested optimization framework, the locations of FACTS devices and control signals are considered optimization parameters. Numerical results for the IEEE 69-bus power system demonstrated an effective improvement in the damping of inter-area modes utilizing the offered approach.

Keywords: power system analysis; sustainable energy; power system; flexible AC transmission system; inter-area modes; optimization; power system stabilizer; soft computing; data science; mathematics; artificial intelligence; applied artificial intelligence (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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