Energies (Aug 2022)

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,
  • Pedro Rosas

DOI
https://doi.org/10.3390/en15176106
Journal volume & issue
Vol. 15, no. 17
p. 6106

Abstract

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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).

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