Enhanced Control Designs to Abate Frequency Oscillations in Compensated Power System

Saqib Yousuf, Viqar Yousuf, Neeraj Gupta, Talal Alharbi and Omar Alrumayh ()
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Saqib Yousuf: Department of Electrical Engineering, National Institute of Technology, Srinagar 190006, India
Viqar Yousuf: Department of Electrical Engineering, Institute of Technology, University of Kashmir, Zakura Campus, Srinagar 190024, India
Neeraj Gupta: Department of Electrical Engineering, National Institute of Technology, Srinagar 190006, India
Talal Alharbi: Department of Electrical Engineering, College of Engineering, Qassim University, Buraydah 52571, Saudi Arabia
Omar Alrumayh: Department of Electrical Engineering, College of Engineering, Qassim University, Unaizah 56452, Saudi Arabia

Energies, 2023, vol. 16, issue 5, 1-20

Abstract: The interconnection of transmission, distribution, and generation lines has established a structure for the power system that is intricate. Uncertainties in the active power flow are caused by changes in load and a growing dependence on renewable energy sources. The study presented in this paper employs several controlling strategies to reduce frequency variations in series-compensated two-area power systems. Future power systems will require the incorporation of flexible AC transmission system (FACTS) devices, since the necessity for compensation in the power system is unavoidable. Therefore, a static synchronous series compensator (SSSC) is installed in both areas of our study to make it realistic and futuristic. This makes it easier to comprehend how series compensation works in a load–frequency model. With the integration of electrical vehicles (EVs) and solar photovoltaic (PV) systems, several control strategies are presented to reduce the frequency oscillations in this power system. Particle swarm optimization (PSO) is used to obtain the best PI control. To improve results, this work also covers the design of fuzzy logic control. In addition, the adoption of neural network control architecture is proposed for even better outcomes. The outcomes clearly show how well the proposed control techniques succeeded.

Keywords: load frequency control; flexible AC transmission; static synchronous series compensator; electric vehicles; solar PV; fuzzy logic control; neural network control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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