Performance Enhancement of Grid-Connected Renewable Energy Systems Using UPFC

M. Osama abed el-Raouf, Soad A. A. Mageed, M. M. Salama, Mohamed I. Mosaad () and H. A. AbdelHadi
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M. Osama abed el-Raouf: Electrical Engineering Department, Housing & Building National Research Center (HBRC), Cairo 12611, Egypt
Soad A. A. Mageed: Electrical Engineering Department, Faculty of Engineering at Shoubra, Elmadina Higher Institute, Benha University, Cairo 13511, Egypt
M. M. Salama: Electrical Engineering Department, Faculty of Engineering at Shoubra, Benha University, Cairo 13511, Egypt
Mohamed I. Mosaad: Electrical & Electronics Engineering Technology Department, Yanbu Industrial College (YIC), Royal Commission Yanbu Colleges & Institutes, Alnahdah, Yanbu Al Sinaiyah, Yanbu 46452, Saudi Arabia
H. A. AbdelHadi: Electrical Engineering Department, Faculty of Engineering at Shoubra, Benha University, Cairo 13511, Egypt

Energies, 2023, vol. 16, issue 11, 1-22

Abstract: No one denies the importance of renewable energy sources in modern power systems in terms of sustainability and environmental conservation. However, due to their reliance on environmental change, they are unreliable systems. This paper uses a Unified Power Flow Controller (UPFC) to enhance the reliability and performance of grid-tied renewable energy systems. This system consists of two renewable sources, namely photovoltaic cells (PV) and wind turbines (WTs). The UPFC was selected for its unique advantage in both active and reactive power control. The UPFC is controlled with an optimized Fractional Order Proportional–Integral–Derivative (FOPID) controller. The parameters of this controller were tuned using an Atomic Search Optimization (ASO) algorithm. Simulation results confirm the efficiency of the suggested controller in supporting the reliability and performance of the hybrid power system during some disturbance events including voltage sag, swell, and unbalanced loading. In addition, power quality can be improved through reducing the total harmonic distortion. It is worth mentioning that two maximum point tracking techniques had been included for the PV and WT systems separately. MATLAB/SIMULINK 2021a software was used to model the system.

Keywords: Unified Power Flow Controller (UPFC); hybrid system; photovoltaic (PV); Atom Search Optimization (ASO); FOPID controller; wind turbine (WT); power quality (PQ) (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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