GAMS
Fri, 07/17/2015 - 13:15 — admin
| 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. |
| URL | Click Here |
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Thu, 11/27/2014 - 16:48 — admin
| Publication Type | Tesis de Grau i Màster // BSc and MSc Thesis |
| Year of Publication | 2014 |
| Authors | Leire Citores |
| 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 | 27/06/2014 |
| Nota // mark | 10 MH (A with Honours) |
| Key Words | research; teaching; microgrids, stochastic programming; scenario generation; wind generation; day-ahead electricity market; imbalances; MSc Thesis |
| Abstract | In this thesis a scenario-based two-stage stochastic programming model is proposed to solve a microgrid's tertiary control optimization problem taking into account some renewable energy resource s uncertainty as well uncertain energy deviation prices in the electricity market. Scenario generation methods for wind speed realizations are also studied. Results show that the introduction of stochastic programming represents an improvement over a deterministic model. |
| DOI / handle | http://hdl.handle.net/2099.1/23235 |
| URL | Click Here |
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Thu, 11/27/2014 - 16:32 — admin
| Publication Type | Tesis de Grau i Màster // BSc and MSc Thesis |
| Year of Publication | 2014 |
| Authors | Irune Etxarri Urtasun |
| Director | F.-Javier Heredia, Cristina Corchero |
| Tipus de tesi | MSc Thesis |
| Titulació | Master in Statistics and Operations Reseafrch |
| Centre | Faculty of Mathematics and Statistics |
| Data defensa | 27/06/2014 |
| Nota // mark | ** |
| Key Words | teaching; research; microgrids; stochastic programming; electricity market; secondary reserve; MSc Thesis |
| Abstract | En este proyecto se ha propuesto un modelo estocástico de dos etapas para la gestión de energía en una microrred doméstica, introduciendo la participación en el mercado de banda de regulación. El objetivo del modelo es determinar la potencia que se oferta al mercado diario, teniendo en cuenta la participación en el mercado de banda de regulación. Se ha introducido estocasticidad en los precios de este mercado y en los precios y probabilidades del requerimiento a subir y a bajar de la energía de regulación secundaria. Se han comparado los beneficios de la microrred en caso de participar o no en el mercado de banda de regulación, y se ha visto que la participación en dicho mercado produce grandes beneficios para sus usuarios. |
| DOI / handle | http://hdl.handle.net/2099.1/23233 |
| URL | Click Here |
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Sun, 07/20/2014 - 18:34 — admin
| Publication Type | Journal Article |
| Year of Publication | 2014 |
| Authors | Lucia Igualada; Cristina Corchero; Miguel Cruz; F-.Javier Heredia |
| Journal Title | IEEE Transactions on Smart Grid |
| Volume | 5 |
| Issue | 4 |
| Pages | 2163-2172 |
| Journal Date | 07/2014 |
| Publisher | IEEE |
| ISSN Number | 1949-3053 |
| Key Words | research; paper; smart grids; vehicle- to-grid (V2G); renewable generation; microgrids; smartgrids; modeling |
| Abstract | An optimization model is proposed to manage a residential microgrid including a charging spot with a vehicle-to-grid system and renewable energy sources. In order to achieve a realistic and convenient management, we take into account: (1) the household load split into three different profiles depending on the characteristics of the elements considered; (2) a realistic approach to owner behavior by introducing the novel concept of range anxiety; (3) the vehicle battery management considering the mobility profile of the owner and (4) different domestic renewable energy sources. We consider the microgrid operated in grid-connected mode. The model is executed one-day-ahead and generates a schedule for all components of the microgrid. The results obtained show daily costs in the range of 2.82 to 3.33 ; the proximity of these values to the actual energy costs for Spanish households validate the modeling. The experimental results of applying the designed managing strategies show daily costs savings of nearly 10%. |
| URL | Click Here |
| DOI | 10.1109/TSG.2014.2318836 |
| Preprint | http://hdl.handle.net/2117/20642 |
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Fri, 07/18/2014 - 22:44 — admin
| 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 optimization; 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 |
| URL | Click Here |
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