electric vehicle
Tue, 09/27/2016 - 09:19 — admin
| Publication Type | Tesis de Grau i Màster // BSc and MSc Thesis |
| Year of Publication | 2016 |
| Authors | Maksims Sisovs |
| Director | F.-Javier Heredia |
| Tipus de tesi | MSc Thesis |
| Titulació | "KIC InnoEnergy" Master of Science in Smart Electrical Networks and Systems |
| Centre | Escola Tècnica Superior d'Enginyeria Industrial de Barcelona (ETSEIB) |
| Data defensa | 16/09/2016 |
| Nota // mark | 10 MH (A+ with honours) |
| Key Words | teaching; BEES; battery energy storage systems; electrical vehicle; smart meters; retail energy market; MSc Thesis |
| Abstract | The main focus of this master thesis project is to evaluate the economic, technical and regulatory feasibility of distributed battery energy storage systems (BESS) and the potential opportunity of electricity companies to increase their pro ts through advanced operation in energy services, such as electric energy time-shift, ancillary or electric vehicle incentives in Spanish electricity market. To assess the feasibility, an optimization tool has been developed. This tool simulates energy trading between diff erent market participants with particular features extracted from data analysis and literature. Load consumption pro les had been developed from smart meter real data by applying several data mining techniques. This part had been guided by external collaborating entity Minsait. Electricity market analysis includes the overview of its functionality principles and regulatory side regarding storage adaptation and speci fic service applicability. Market historical prices were used for further electricity trading simulation. A brief technical insight explains current storage situation and tells about high-potential technologies in emerging markets. Benchmark analysis covers several products of battery manufacturers with relevant technical and price information. Spanish electricity market showed low adaptability to distributed BESS solutions: energy arbitrage incomes have resulted being insuficient. Ancillary services, despite promising economic gures, are to a large extent prohibited to be provided by distributed storage. Electric vehicle incentives, though, resulted being of a high interest due to absence of direct investment. |
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Thu, 09/03/2015 - 10:25 — admin
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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Fri, 07/17/2015 - 12:40 — admin
In the photography, me (right) with two of the coauthors of the last paper, Dr. Cristina Corchero (left) and Ms. Andina Brown (center).
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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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 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 |
| URL | Click Here |
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Fri, 01/24/2014 - 10:18 — admin
The following three research reports on energy markets and smartgrids has been recently submitted for publication:
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F.-Javier Heredia, Julian Cifuentes, Cristina Corchero, Stochastic optimal generation bid to electricity markets with emission risk constraints, Research Report DR 2013/05 Dept. of Statistics and Operations Research. E-Prints UPC, http://hdl.handle.net/2117/20640. Universitat Politècnica de Catalunya, 2013.
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Lucia Igualada, Cristina Corchero, Miguel Cruz-Zambrano, F.-Javier Heredia, Optimal energy management for a residential microgrid including a vehicle-to-grid system, Research Report DR 2013/04 Dept. of Statistics and Operations Research. E-Prints UPC, http://hdl.handle.net/2117/20642 . Universitat Politècnica de Catalunya, 2013.
Mon, 11/18/2013 - 16:34 — admin
| Publication Type | Report |
| Year of Publication | 2013 |
| Authors | Lucía Igualada; Cristina Corchero; Miguel Cruz-Zambrano; F.-Javier Heredia |
| Pages | 9 |
| Date | 11/2013 |
| Reference | Research report DR 2013/05, Dept. of Statistics and Operations Research. E-Prints UPC, http://hdl.handle.net/2117/20642. Universitat Politècnica de Catalunya |
| Prepared for | Published at IEEE Transactions on Smart Grids (DOI: 10.1109/TSG.2014.2318836) |
| Key Words | research; optimal management; smart grids; vehicle-to-grid; renewable generation; microgrids |
| 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 |
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The 27th European Conference on Operational Research was held in Glasgow, hosted by the University of Strathclyde, during 12-15 July 2015. I participated in the sessions with the following two works:
The paper Optimal Energy Management for a Residential Microgrid Including Vehicle-to-Grid System has been published in IEEE Transactions on Smart Grids. This work, done in collaboration with the Energy Economics group of the Catalonian Institute for Energy Research (IREC), proposes an optimization model to manage a residential microgrid including a charging spot with a vehicle-to-grid system and renewable energy sources. A preprint version of the paper can be downloaded from http://hdl.handle.net/2117/20642
Simona Sacripante, F.-Javier Heredia, Cristina Corchero, Stochastic optimal sale bid for a wind power producer,Research Report DR 2013/06 Dept. of Statistics and Operations Research. E-Prints UPC, Universitat Politècnica de Catalunya, 2013.