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These changes directly impact electrical distribution systems (EDSs), introducing new challenges in their planning and operation. One way to assist in the desired integration of this technology is to allocate EV charging stations (EVCSs). Efforts have been made towards the development of EVCSs, with the ability to recharge the vehicle at a similar time than conventional vehicle filling stations. Besides, EVs can bring environmental benefits by reducing greenhouse gas emissions. However, depending on the energy matrix of the country in which the EVs fleet circulates, there may be indirect emissions of polluting gases. Therefore, the development of this technology must be combined with the growth of renewable generation. Thus, this proposal aims to develop a mathematical model that includes EVs integration in the distribution system. To this end, a mixed-integer linear programming (MILP) model is proposed to solve the allocation problem of EVCSs including renewable energy sources. The model addresses the environmental impact and uncertainties associated with demand (conventional and EVs) and renewable generation. Moreover, an EV charging forecast method is proposed, subject to the uncertainties related to the driver's behavior, the energy required by these vehicles, and the state of charge of the EVs. The proposed model was implemented in the AMPL modelling language and solved via the commercial solver CPLEX. Tests with a 24-node system allow evaluating the proposed method application.<\/jats:p>","DOI":"10.1186\/s42162-021-00157-5","type":"journal-article","created":{"date-parts":[[2021,9,24]],"date-time":"2021-09-24T02:23:45Z","timestamp":1632450225000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":36,"title":["Joint Optimal Allocation of Electric Vehicle Charging Stations and Renewable Energy Sources Including CO2 Emissions"],"prefix":"10.1186","volume":"4","author":[{"given":"Tayenne Dias","family":"de Lima","sequence":"first","affiliation":[]},{"given":"John F.","family":"Franco","sequence":"additional","affiliation":[]},{"given":"Fernando","family":"Lezama","sequence":"additional","affiliation":[]},{"given":"Jo\u00e3o","family":"Soares","sequence":"additional","affiliation":[]},{"given":"Zita","family":"Vale","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,9,24]]},"reference":[{"key":"157_CR1","doi-asserted-by":"publisher","unstructured":"Amini MH, Islam A (2014) Allocation of electric vehicles\u2019 parking lots in distribution network. 2014 IEEE PES Innov Smart Grid Technol Conf ISGT 2014:1\u20135. https:\/\/doi.org\/10.1109\/ISGT.2014.6816429","DOI":"10.1109\/ISGT.2014.6816429"},{"key":"157_CR2","doi-asserted-by":"publisher","unstructured":"Bagherzadeh L, Shayeghi H, Seyed-Shenava SJ (2019) Optimal allocation of electric vehicle parking lots for minimizing distribution system costs considering uncertainties. 2019 Iran Conf Renew Energy Distrib Gener ICRE DG 2019:19\u201320. https:\/\/doi.org\/10.1109\/ICREDG47187.2019.190203","DOI":"10.1109\/ICREDG47187.2019.190203"},{"key":"157_CR3","doi-asserted-by":"publisher","unstructured":"Banol Arias N, Tabares A, Franco JF, Lavorato M, Romero R (2017) Robust joint expansion planning of electrical distribution systems and EV charging stations. 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