|Affiliations:||Mathematical Institute of the Serbian Academy of Sciences and Arts||Title:||Optimal scheduling of utility electric vehicle fleet offering ancillary services||Journal:||ETRI Journal||Volume:||37||Issue:||2||First page:||273||Last page:||282||Issue Date:||1-Jan-2015||Rank:||M23||ISSN:||1225-6463||DOI:||10.4218/etrij.15.2314.0046||Abstract:||
Vehicle-to-grid presents a mechanism to meet the key requirements of an electric power system, using electric vehicles (EVs) when they are parked. The most economic ancillary service is that of frequency regulation, which imposes some constraints regarding the period and duration of time the vehicles have to be connected to the grid. The majority of research explores the profitability of the aggregator, while the perspective of the EV fleet owner, in terms of their need for usage of their fleet, remains neglected. In this paper, the optimal allocation of available vehicles on a day-ahead basis using queuing theory and fuzzy multi-criteria methodology has been determined. The proposed methodology is illustrated on the daily scheduling of EVs in an electricity distribution company.
|Keywords:||Analytic hierarchy process | Electric vehicles | Frequency regulation | Fuzzy multi-criteria decision making | Grid | Queuing theory||Publisher:||Wiley||Project:||Research and development of energy efficient and environment friendly polygeneration systems based on renewable energy sources utilization
Development of new information and communication technologies, based on advanced mathematical methods, with applications in medicine, telecommunications, power systems, protection of national heritage and education
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