Distribution System Service Restoration Using Electric Vehicles

Swapna Ganapaneni, Srinivasa Varma Pinni, Ch. Rami Reddy, Flah Aymen, Mohammed Alqarni, Basem Alamri and Habib Kraiem
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Swapna Ganapaneni: Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram 522302, India
Srinivasa Varma Pinni: Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram 522302, India
Ch. Rami Reddy: Electrical and Electronics Engineering, Malla Reddy Engineering College (A), Maisammaguda, Secunderabad 500100, India
Flah Aymen: National Engineering School of Gabès, Processes, Energy, Environment and Electrical Systems, University of Gabès, LR18ES34, Gabes 6072, Tunisia
Mohammed Alqarni: College of Engineering, University of Business and Technology (UBT), Jeddah 23435, Saudi Arabia
Basem Alamri: Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
Habib Kraiem: Department of Electrical Engineering, College of Engineering, Northern Border University, Arar 73222, Saudi Arabia

Energies, 2022, vol. 15, issue 9, 1-15

Abstract: Nowadays the utilization of Electric Vehicles (EVs) has greatly increased. They are attaining greater attention due to their impacts on the grid at the distribution level. However, due to the increased need for electricity, EVs are also used to serve the load in the instance of electrical failure in the distribution systems. This paper presents a new approach to a service restoration method for a low-voltage distribution network at the time of a power outage using existing EVs available in a parking place. The objective function formulated here was a constrained linear optimization model. It aimed to develop priority-based scheduling of the residential user appliances while meeting all the operational constraints if the EV’s power was in a deficit at the hour of the outage. Weight factors were assigned to various residential appliances to decide their priority while scheduling. To substantiate the proposed methodology, a day load profile of a 20 kVA distribution transformer feeding eight residential users is considered. This was tested during an hour-long power outage scenario in the MATLAB and LINGO platforms, with four EVs available during the outage period. This method restored the maximum power to the residential appliances.

Keywords: Electric Vehicles; service restoration; distribution system; priority-based scheduling; residential appliances (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: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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