|Affiliations:||Mathematical Institute of the Serbian Academy of Sciences and Arts||Title:||Modelling parking based Electric Vehicle Charging infrastructure using MCDM methodology||First page:||1||Last page:||8||Conference:||3rd South East European Conference on sustainable development of energy, water and environmental systems – 3rd SEE SDEWES||Issue Date:||2018||Rank:||M33||Abstract:||
This paper proposes a new model for the optimal allocation of parking based Electric Vehicle Charging Stations (EVCS). The model contains two steps of the EVCS number and locations optimisation process to enhance accessibility for EV drivers. In the first step, the AHP methodology is used for ranking the parking places according to multiple criteria. After that, the optimal number of locations is defined by employing the modified p – median methodology, taking into account the minimization of total distance and total costs. Finally, a validation and feasibility of the proposed model is tested in a case study of EVCS infrastructure optimisation in the city of Nis. Advantages of the proposed decision-making model are explicated through the comparison with similar methodologies for solving the optimisation problem of EVCS site locations.
|Keywords:||Multi-criteria optimization | AHP | Electric vehicles | Charging station allocation | P-median||Publisher:||International Centre for Sustainable Development of Energy, Water and Environment Systems||Project:||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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