GRASP algorithm for charging coordination of plug-in electric vehicles in electrical distribution systems
| Autor: | Nataly Banol Arias, Ruben Romero, Marina Lavorato de Oliveira, John F. Franco |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
030213 general clinical medicine
0209 industrial biotechnology Mathematical optimization Engineering Schedule business.product_category business.industry GRASP 02 engineering and technology computer.software_genre Distribution system 03 medical and health sciences 020901 industrial engineering & automation 0302 clinical medicine Electric vehicle Electric-vehicle battery Plug-in Coordination game business Metaheuristic computer |
| Zdroj: | 2016 IEEE PES Transmission & Distribution Conference and Exposition-Latin America (PES T&D-LA). |
| DOI: | 10.1109/tdc-la.2016.7805624 |
| Popis: | A new methodology based on the GRASP (Greedy Random Adaptative Search Procedure) metaheuristic is proposed in this paper in order to solve the plug-in electric vehicle (PEV) charging coordination problem in electrical distribution systems (EDSs). The proposed method minimizes the total operational costs of the EDS by determining an optimal schedule for the electric vehicle battery charging. Additionally, priority conditions on the PEV charging are considered. The efficiency of the proposed methodology is verified using a 449-node system. The results shown that the achieved solution provides an economic operation of the EDS, while satisfying operational constraints. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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