Combined Framework with Heuristic Programming and Rule-Based Strategies for Scheduling and Real Time Operation in Electric Vehicle Charging Stations
| Autor: | Luciane Neves Canha, Daniel Pegoraro Bertineti, W. S. Brignol, Camilo Alberto Sepulveda Rangel, Hericles Eduardo Oliveira Farias, Leonardo Weber Stringini, Zeno Luiz Iensen Nadal |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Mathematical optimization Control and Optimization business.product_category Computer science 020209 energy Energy Engineering and Power Technology 02 engineering and technology rule-based lcsh:Technology Scheduling (computing) 020901 industrial engineering & automation Electric vehicle 0202 electrical engineering electronic engineering information engineering EVCS Electrical and Electronic Engineering Engineering (miscellaneous) EPSO lcsh:T Renewable Energy Sustainability and the Environment EV scheduling Photovoltaic system Particle swarm optimization Rule-based system Grid State of charge business Energy (miscellaneous) |
| Zdroj: | Energies; Volume 14; Issue 5; Pages: 1370 Energies, Vol 14, Iss 1370, p 1370 (2021) |
| ISSN: | 1996-1073 |
| DOI: | 10.3390/en14051370 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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