Publication Type | Conference Paper |
Year of Publication | 2015 |
Authors | Cristina Corchero; Andina Brown; Oriol Serch; Miguel Cruz; F.-Javier Heredia |
Conference Name | 27th European Conference on Operational Research |
Conference Date | 12-15/07/2015 |
Conference Location | Glasgow, UK. |
Type of Work | invited |
Key Words | research; multi objective optimization; electrical vehicle, charging point location |
Abstract | The aim of this study is to address the problem of locating fast charging stations for electric vehicles in the early stages of infrastructure implementation. Despite existence of successful trials and pilot projects, there are barriers preventing the successful development of a private EV market in its present state; investors are reluctant to invest in infrastructure due to the relatively small number of EV users, and conversely consumers are hesitant about purchasing EVs due high prices and a lack of charging infrastructure. It has been identified that introducing fast charging stations can aid this process, in particular by easing users’ concerns about running out of charge before reaching their destination. This study approaches the problem from the perspective of a central planner wishing to install fast charging stations. A multi-objective approach is used to simultaneously consider two conflicting objectives in the optimisation problem: (1) to minimise the distance that potential consumers would need to deviate from their normal journeys in order to reach their nearest fast charging station and (2) to minimise the set up costs associated with the installation of the stations. A mathematical model is formulated and implemented to obtain results for the case study of Barcelona. The optimal solutions are found and used to depict the Pareto front, offering insight into the nature of the trade-offs between the objectives and aiding the decision making process. |
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The first one, Parallel Proximal Bundle Methods for Stochastic Electricity Market Problems in collaboration with Mr. Antonio Rengifo, a former student of our Master in Statistics and Operations Research.
The second one, entitled A multi-objective approach to infrastructure planning in the early stages of EV introduction in collaboration with the Energy Economy group of the Catalonia Institute for Energy Reseach.
Publication Type | Tesis de Grau i Màster // BSc and MSc Thesis |
Year of Publication | 2014 |
Authors | Andina Rosalia Brown |
Director | F.-Javier Heredia; Cristina Corchero |
Tipus de tesi | MSc Thesis |
Titulació | Master in Statistics and Operations Research |
Centre | Faculty of Mathematics and Statistics |
Data defensa | 27/01/2014 |
Nota // mark | 9.0 |
Key Words | Multi-objective Optimisation; Facility Location; Electric Vehicle; Fast Charging Stations; MSc Thesis |
Abstract | This study approaches the problem from the perspective of a central planner wishing to install fast charging stations. A multi-objective approach is used to simultaneously consider two conflicting objectives in the optimisation problem. The first objective is to minimise the distance that potential consumers would need to deviate from their normal journeys in order to reach their nearest fast charging station, and thus minimise the associated inconvenience. The second objective is to minimise the set up costs associated with the installation of the stations, which differ according to the number of facilities installed and their location. These objectives are normalised using a function transformation and then combined into a single objective function. A mathematical model is formulated and implemented using GAMS to obtain results for the case study of Barcelona, building on the existing literature. Using the weighted sums method, multiple Pareto optimal solutions are found by solving for different relative weights combinations applied to the two objectives. These solutions are used to depict the Pareto front, offering insight into the nature of the trade-offs between the objectives and aiding the decision making process. This study develops the existing methodology used for the EV infrastructure problem, and shows how the application of a multi-objective formulation can offer useful insight to decision makers, particularly when preferences are unclear a priori. |
DOI / handle | http://hdl.handle.net/2099.1/20851 |
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