Energy and Demand Forecasting Based on Logistic Growth Method for Electric Vehicle Fast Charging Station Planning with PV Solar System

José F. C. Castro (), Davidson C. Marques, Luciano Tavares, Nicolau K. L. Dantas, Amanda L. Fernandes, Ji Tuo, Luiz H. A. de Medeiros and Pedro Rosas
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José F. C. Castro: Electrical Engineering Department, Federal University of Pernambuco (UFPE), Recife 50670-901, PE, Brazil
Davidson C. Marques: Electrical Engineering Department, Federal University of Pernambuco (UFPE), Recife 50670-901, PE, Brazil
Luciano Tavares: Advanced Institute of Technology and Innovation (IATI), Recife 50751-310, PE, Brazil
Nicolau K. L. Dantas: Institute of Technology Edson Mororó Moura (ITEMM), Recife 51020-280, PE, Brazil
Amanda L. Fernandes: CPFL Energy, Campinas 13087-397, SP, Brazil
Ji Tuo: CPFL Energy, Campinas 13087-397, SP, Brazil
Luiz H. A. de Medeiros: Electrical Engineering Department, Federal University of Pernambuco (UFPE), Recife 50670-901, PE, Brazil
Pedro Rosas: Electrical Engineering Department, Federal University of Pernambuco (UFPE), Recife 50670-901, PE, Brazil

Energies, 2022, vol. 15, issue 17, 1-21

Abstract: Electric vehicle (EV) charging may impose a substantial power demand on existing low voltage (LV) and medium voltage (MV) networks, which are usually not prepared for high power demands in short time intervals. The influx of E-mobility may require an increase in grid reinforcements, but these can be reduced and optimized by a combination of new technologies, tools, and strategies, such as the deployment of solar PV generation integrated with aggregated energy storage systems. One of the challenges in the implementation of charging infrastructures in public stations is coupling the projected sizes of energy demand and power requirements in each location for each charger. This paper describes a method to estimate projected values for energy consumption and power demand in EV fast charging stations (CS). The proposed ideas were applied in a concept facility located in Campinas, Brazil, in a structure equipped with two 50 kW DC Fast Chargers, local 12.5 kW/13.2 kWp PV generation (to reduce energy impacts to the grid), and a 100 kW/200 kWh storage system, using electrochemical batteries (to minimize peak power requirements).

Keywords: electric vehicles; energy projections; consumption forecasting; EV charging stations (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 (3)

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