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Article

Combined Framework with Heuristic Programming and Rule-Based Strategies for Scheduling and Real Time Operation in Electric Vehicle Charging Stations

1
Department of Electrical Engineering , Federal University of Santa Maria—UFSM, Santa Maria 97105-900, Brazil
2
Electric Energy Paranaense Company—COPEL-DIS, Curitiba 81200-240, Brazil
*
Authors to whom correspondence should be addressed.
Academic Editor: Gianfranco Chicco
Energies 2021, 14(5), 1370; https://doi.org/10.3390/en14051370
Received: 31 January 2021 / Revised: 24 February 2021 / Accepted: 24 February 2021 / Published: 3 March 2021
This paper proposes a flexible framework for scheduling and real time operation of electric vehicle charging stations (EVCS). The methodology applies a multi-objective evolutionary particle swarm optimization algorithm (EPSO) for electric vehicles (EVs) scheduling based on a day-ahead scenario. Then, real time operation is managed based on a rule-based (RB) approach. Two types of consumer were considered: EV owners with a day-ahead request for charging (scheduled consumers, SCh) and non-scheduling users (NSCh). EPSO has two main objectives: cost reduction and reduce overloading for high demand in grid. The EVCS has support by photovoltaic generation (PV), battery energy storage systems (BESS), and the distribution grid. The method allows the selection between three types of charging, distributing it according to EV demand. The model estimates SC remaining state of charge (SoC) for arriving to EVCS and then adjusts the actual difference by the RB. The results showed a profit for EVCS by the proposed technique. The proposed EPSO and RB have a fast solution to the problem that allows practical implementation. View Full-Text
Keywords: EVCS; EPSO; rule-based; EV scheduling EVCS; EPSO; rule-based; EV scheduling
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MDPI and ACS Style

Oliveira Farias, H.E.; Sepulveda Rangel, C.A.; Weber Stringini, L.; Neves Canha, L.; Pegoraro Bertineti, D.; da Silva Brignol, W.; Iensen Nadal, Z. Combined Framework with Heuristic Programming and Rule-Based Strategies for Scheduling and Real Time Operation in Electric Vehicle Charging Stations. Energies 2021, 14, 1370. https://doi.org/10.3390/en14051370

AMA Style

Oliveira Farias HE, Sepulveda Rangel CA, Weber Stringini L, Neves Canha L, Pegoraro Bertineti D, da Silva Brignol W, Iensen Nadal Z. Combined Framework with Heuristic Programming and Rule-Based Strategies for Scheduling and Real Time Operation in Electric Vehicle Charging Stations. Energies. 2021; 14(5):1370. https://doi.org/10.3390/en14051370

Chicago/Turabian Style

Oliveira Farias, Héricles E., Camilo A. Sepulveda Rangel, Leonardo Weber Stringini, Luciane Neves Canha, Daniel Pegoraro Bertineti, Wagner da Silva Brignol, and Zeno Iensen Nadal. 2021. "Combined Framework with Heuristic Programming and Rule-Based Strategies for Scheduling and Real Time Operation in Electric Vehicle Charging Stations" Energies 14, no. 5: 1370. https://doi.org/10.3390/en14051370

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