EVs’ Integration Impact on the Reliability of Saudi Arabia’s Power System

Wael Softah () and Hani A. Aldhubaib
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Wael Softah: Electrical Engineering Department, Umm Al-Qura University, Makkah, Saudi Arabia
Hani A. Aldhubaib: Electrical Engineering Department, Umm Al-Qura University, Makkah, Saudi Arabia

Energies, 2023, vol. 16, issue 12, 1-24

Abstract: This paper investigates the effect of involving electric vehicles (EVs) in the load profile on the generation system. The impact was studied from a reliability perspective on Saudi Arabia’s total generation system capacity as one source supplying the expected load for the year 2030. The EV load profile was then added. The outcomes were examined considering the gradual penetration percentage to the total load. The reliability indices measured are the loss of load probability (LOLP) and the expected energy not supplied (EENS). The results show that the estimated generation system of Saudi Vision 2030 will not withstand the estimated number of EVs without negatively impacting reliability. Similarly, the reliability assessment was conducted for the central region considering EVs in Riyadh City to verify Saudi Vision 2030. The results show that EV integration will greatly affect the electrical network’s reliability. Furthermore, a sensitivity analysis was conducted for Saudi Arabia and the central region to assess the generation system better. The study shows that investing in the generation infrastructure is essential to handle EV growth for the upcoming years. The work introduced in this paper will also help decision-makers make appropriate planning decisions in the future.

Keywords: EVs; EENS; LOLP; Reliability; Saudi Arabia; Riyadh City; Saudi Vision 2030 (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
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