{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T07:24:58Z","timestamp":1761895498841,"version":"build-2065373602"},"reference-count":27,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2012,6,15]],"date-time":"2012-06-15T00:00:00Z","timestamp":1339718400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Energies"],"abstract":"<jats:p>This paper presents a simulator for electric vehicles in the context of smart grids and distribution networks. It aims to support network operators\u2019 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.<\/jats:p>","DOI":"10.3390\/en5061881","type":"journal-article","created":{"date-parts":[[2012,6,15]],"date-time":"2012-06-15T11:38:02Z","timestamp":1339760282000},"page":"1881-1899","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":95,"title":["Electric Vehicle Scenario Simulator Tool for Smart Grid Operators"],"prefix":"10.3390","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4172-4502","authenticated-orcid":false,"given":"Jo\u00e3o","family":"Soares","sequence":"first","affiliation":[{"name":"GECAD, Knowledge Engineering and Decision-Support Research Center, Institute of Engineering, Polytechnic of Porto (ISEP\/IPP), Rua Dr. Ant\u00f3nio Bernardino de Almeida, 431, 4200-072 Porto, Portugal"}]},{"given":"Bruno","family":"Canizes","sequence":"additional","affiliation":[{"name":"GECAD, Knowledge Engineering and Decision-Support Research Center, Institute of Engineering, Polytechnic of Porto (ISEP\/IPP), Rua Dr. Ant\u00f3nio Bernardino de Almeida, 431, 4200-072 Porto, Portugal"}]},{"given":"Cristina","family":"Lobo","sequence":"additional","affiliation":[{"name":"GECAD, Knowledge Engineering and Decision-Support Research Center, Institute of Engineering, Polytechnic of Porto (ISEP\/IPP), Rua Dr. Ant\u00f3nio Bernardino de Almeida, 431, 4200-072 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4560-9544","authenticated-orcid":false,"given":"Zita","family":"Vale","sequence":"additional","affiliation":[{"name":"GECAD, Knowledge Engineering and Decision-Support Research Center, Institute of Engineering, Polytechnic of Porto (ISEP\/IPP), Rua Dr. Ant\u00f3nio Bernardino de Almeida, 431, 4200-072 Porto, Portugal"}]},{"given":"Hugo","family":"Morais","sequence":"additional","affiliation":[{"name":"GECAD, Knowledge Engineering and Decision-Support Research Center, Institute of Engineering, Polytechnic of Porto (ISEP\/IPP), Rua Dr. Ant\u00f3nio Bernardino de Almeida, 431, 4200-072 Porto, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2012,6,15]]},"reference":[{"key":"ref_1","unstructured":"MERGE Project EU (2010). Deliverable D1.1 WP1 Task 1.1, 1.2, 1.5, Specifications for EV-Grid Interfacing, Communication and Smart Metering Technologies, Including Traffic Patterns and Human Behaviour Descriptions, MERGE Project EU. Technical Reports."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"10717","DOI":"10.1016\/j.jpowsour.2011.08.076","article-title":"Intelligent electric vehicle charging: Rethinking the valley-fill","volume":"196","author":"Valentine","year":"2011","journal-title":"J. Power Sources"},{"key":"ref_3","unstructured":"Lovins, A.B., and Institute, R.M. (2003). Small is Profitable, Rocky Mountain Institute."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1109\/MIS.2011.4","article-title":"A data-mining-based methodology for transmission expansion planning","volume":"26","author":"Ferreira","year":"2011","journal-title":"IEEE Intell. Syst."},{"key":"ref_5","unstructured":"Faria, P., Vale, Z., Soares, J., and Ferreira, J. (2011). Demand response management in power systems using a particle swarm optimization approach. IEEE Intell. Syst."},{"key":"ref_6","unstructured":"Soares, J. (2011). Modified Particle Swarm Optimization for Day-Ahead Distributed Energy Resources Scheduling Including Vehicle-to-Grid. [Master Thesis, School of Engineering\u2013Polytechnic Institute of Porto]."},{"key":"ref_7","unstructured":"Krajzewicz, D., Hertkorn, G., Wagner, P., and R\u00f6ssel, C. Available online: http:\/\/elib.dlr.de\/6661\/2\/dkrajzew_MESM2002.pdf."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1111\/j.1467-8659.2009.01613.x","article-title":"Continuum traffic simulation","volume":"29","author":"Sewall","year":"2010","journal-title":"Comput. Graph. Forum."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Smith, L., Beckman, R., and Baggerly, K. (1995). TRANSIMS: Transportation Analysis Simulation System, Los Alamos National Lab. Technical Report.","DOI":"10.2172\/88648"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"69","DOI":"10.3141\/2132-08","article-title":"Evacuation planning using the integrated system of activity-based modeling and dynamic traffic assignment","volume":"2132","author":"Lin","year":"2009","journal-title":"Transp. Res. Record"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"113","DOI":"10.3141\/2132-13","article-title":"TRANSIMS implementation in chittenden county, vermont development, calibration, and preliminary sensitivity analysis","volume":"2132","author":"Lawe","year":"2009","journal-title":"Transp. Res. Record"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"871","DOI":"10.1007\/s11116-011-9362-9","article-title":"Simulating the impacts of household travel on greenhouse gas emissions, urban air quality, and population exposure","volume":"38","author":"Hatzopoulou","year":"2011","journal-title":"Transportation"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Maia, R., Silva, M., Araujo, R., and Nunes, U. (July, January 29). In Electric Vehicle Simulator for Energy Consumption Studies in Electric Mobility Systems. Proceedings of the 2011 IEEE Forum on Integrated and Sustainable Transportation System (FISTS), Vienna, Austria.","DOI":"10.1109\/FISTS.2011.5973655"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TII.2011.2172454","article-title":"A survey on the electrification of transportation in a smart grid environment","volume":"8","author":"Su","year":"2012","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1109\/TSG.2011.2151888","article-title":"Performance evaluation of an EDA-based large-scale plug-in hybrid electric vehicle charging algorithm","volume":"3","author":"Wencong","year":"2012","journal-title":"IEEE Trans. Smart Grid"},{"key":"ref_16","unstructured":"DeForest, N., Funk, J., Lorimer, A., Ur, B., Sidhu, I., Kaminsky, P., and Tenderich, B. (2009). Impact of Widespread Electric Vehicle Adoption on the Electrical Utility Business-threats and Opportunities, Center for Entrepreneurship and Technology."},{"key":"ref_17","unstructured":"U.S. Department of Energy (2010). Communication Requirements for Smart Grid Technologies."},{"key":"ref_18","unstructured":"Ball, R., Keers, N., Alexander, M., and Bower, E. (2010). Deliverable D2.1 Modelling Electric Storage Devices for EV, MERGE Project EU. Technical Reports."},{"key":"ref_19","unstructured":"Road Safety: Vehicle Categories. European Commission. Available online: http:\/\/ec.europa.eu\/transport\/road_safety\/vehicles\/categories_en.htm."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Taylor, J., Maitra, A., Alexander, M., Brooks, D., and Duvall, M. (2010, January 25\u201329). Evaluations of Plug-in Electric Vehicle Distribution System Impacts. Proceedings of the 2010 IEEE Power and Energy Society General Meeting, Minneapolis, MN, USA.","DOI":"10.1109\/PES.2010.5589538"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1109\/TPWRS.2009.2036481","article-title":"The impact of charging plug-in hybrid electric vehicles on a residential distribution grid","volume":"25","author":"Haesen","year":"2010","journal-title":"IEEE Trans. Power Syst."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Denholm, P., and Short, W. (2006). An Evaluation of Utility System Impacts and Benefits of Optimally Dispatched Plug-in Hybrid Electric Vehciles, NREL.","DOI":"10.2172\/888683"},{"key":"ref_23","unstructured":"Kenworthy, J.R. (2003, January 17\u201319). Transport Energy Use and Greenhouse Gases in Urban Passenger System: A case study of 84 Global Cities. Proceedings of the Third Conference of the Regional Government Network for Sustainable Development, Notre Dame University, Fremantle, Australia."},{"key":"ref_24","unstructured":"Santos, A., McGuckin, N., Nakamoto, H., Gray, D., and Liss, S. (2009). Summary of Travel Trends: 2009 National Household Travel Survey, Technical Report."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Faria, P., Vale, Z.A., and Ferreira, J. (2010, January 10\u201313). DemSi - A Demand Response Simulator in the Context of Intensive Use of Distributed Generation. Proceedings of the 2010 IEEE International Conference on Systems Man and Cybernetics (SMC), Istanbul, Turkey.","DOI":"10.1109\/ICSMC.2010.5641721"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1109\/TSG.2011.2165303","article-title":"Intelligent energy resource management considering vehicle-to-grid: A simulated annealing approach","volume":"3","author":"Sousa","year":"2012","journal-title":"IEEE Trans. Smart Grid"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1401","DOI":"10.1109\/61.25627","article-title":"Network reconfiguration in distribution systems for loss reduction and load balancing","volume":"4","author":"Baran","year":"1989","journal-title":"IEEE Trans. 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