Electric Vehicle Scenario Simulator Tool for Smart Grid Operators
João Soares,
Bruno Canizes,
Cristina Lobo,
Zita Vale and
Hugo Morais
Additional contact information
João Soares: GECAD, Knowledge Engineering and Decision-Support Research Center, Institute of Engineering, Polytechnic of Porto (ISEP/IPP), Rua Dr. António Bernardino de Almeida, 431, 4200-072 Porto, Portugal
Bruno Canizes: GECAD, Knowledge Engineering and Decision-Support Research Center, Institute of Engineering, Polytechnic of Porto (ISEP/IPP), Rua Dr. António Bernardino de Almeida, 431, 4200-072 Porto, Portugal
Cristina Lobo: GECAD, Knowledge Engineering and Decision-Support Research Center, Institute of Engineering, Polytechnic of Porto (ISEP/IPP), Rua Dr. António Bernardino de Almeida, 431, 4200-072 Porto, Portugal
Zita Vale: GECAD, Knowledge Engineering and Decision-Support Research Center, Institute of Engineering, Polytechnic of Porto (ISEP/IPP), Rua Dr. António Bernardino de Almeida, 431, 4200-072 Porto, Portugal
Hugo Morais: GECAD, Knowledge Engineering and Decision-Support Research Center, Institute of Engineering, Polytechnic of Porto (ISEP/IPP), Rua Dr. António Bernardino de Almeida, 431, 4200-072 Porto, Portugal
Energies, 2012, vol. 5, issue 6, 1-19
Abstract:
This paper presents a simulator for electric vehicles in the context of smart grids and distribution networks. It aims to support network operators’ planning and operations but can be used by other entities for related studies. The paper describes the parameters supported by the current version of the Electric Vehicle Scenario Simulator (EVeSSi) tool and its current algorithm. EVeSSi enables the definition of electric vehicles scenarios on distribution networks using a built-in movement engine. The scenarios created with EVeSSi can be used by external tools (e.g., power flow) for specific analysis, for instance grid impacts. Two scenarios are briefly presented for illustration of the simulator capabilities.
Keywords: distribution network; electric vehicles; scenario simulator; smart grid (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (22)
Downloads: (external link)
https://www.mdpi.com/1996-1073/5/6/1881/pdf (application/pdf)
https://www.mdpi.com/1996-1073/5/6/1881/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:5:y:2012:i:6:p:1881-1899:d:18368
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().