On-off scheduling schemes for power-constrained electric vehicle charging
| Autor: | João Gouveia, Nuno Bustorff Silva, Joana Rebelo, Xavier Fernandes, Rodrigo Maia |
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| Rok vydání: | 2016 |
| Předmět: |
Mathematical optimization
business.product_category Linear programming Discretization Computer science 020209 energy 02 engineering and technology Management Science and Operations Research 021001 nanoscience & nanotechnology 7. Clean energy Dynamic charging Theoretical Computer Science Management Information Systems Scheduling (computing) Charging station Computational Theory and Mathematics Simulated data Electric vehicle 0202 electrical engineering electronic engineering information engineering 0210 nano-technology business |
| Zdroj: | Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP |
| ISSN: | 1614-2411 1619-4500 |
| Popis: | In this paper, we study the problem of establishing a dynamic charging schedule of electric vehicles (EVs) at a charging station, assuming that limited power implies that only a limited number of EVs can charge simultaneously. The only control we assume to be available to the charging station is the ability to (at any given time) turn on or off the power supply to any EV, with this tool we want to develop a charging schedule that will satisfy the energy demands of the EVs in their intended deadlines. We propose two distinct approaches to this problem: a discretized time version, based on a greedy-like algorithm, and a continuous time version, based on linear programming. We compare these two approaches and numerically study the improvement they yield in the efficiency of the charging procedure, when applied to simulated data based on real parking data. Finally, we illustrate the flexibility of the models by sketching several possible extensions. |
| Databáze: | OpenAIRE |
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