modeling languages
On the optimal participation in electricity markets of wind power plants with battery energy storage systems
Mon, 07/18/2016 - 18:43 — admin| Publication Type | Conference Paper |
| Year of Publication | 2016 |
| Authors | F.-Javier Heredia; Cristina Corchero; Marlyn D. Cuadrado |
| Conference Name | 28th European Conference on Operational Research |
| Series Title | Conference Handbook |
| Pagination | 322 |
| Conference Date | 3-6/07/2016 |
| Conference Location | Poznan, Poland |
| Type of Work | contributed presentation. |
| Key Words | research; VPP; wind generation; battery energy storage system; stochastic programming; electricity market; optimal bid |
| Abstract | The recent cost reduction and technologic advances in medium to large scale Battery Energy Storage Systems (BESS) makes these devices a real choice alternative for wind producers operating in electricity markets. The association of a wind power farm with a BESS (the so called Virtual Power Plant VPP) provides utilities with a tool to turn the uncertainty wind power production into a dispatchable technology enabled to operate not only in the spot and adjustment markets (day-ahead and intraday markets) but also in ancillary services markets that, up to now, was forbidden to non-dispatchable technologies. Even more, recent studies have shown that the capital cost investment in BESS can only be recovered through the participation of such a VPP in the ancillary services markets. We present in this study a stochastic programming model to find the optimal participation of a VPP to the day-ahead market and secondary reserve markets (the most relevant ancillary service market) where the uncertainty in wind power generation and markets prices (day-ahead ancillary services) has been considered. A case study with real data from the Iberian Electricity Market is presented. |
| URL | Click Here |
| Export | Tagged XML BibTex |
A multi-objective approach to infrastructure planning in the early stages of EV introduction
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 |
| Export | Tagged XML BibTex |
Optimal Energy Management for a Residential Microgrid Including a Vehicle-to-Grid System
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 |
| Export | Tagged XML BibTex |
Forecasting and optimization of wind generation in energy markets
Sat, 07/19/2014 - 11:53 — admin| Publication Type | Funded research projects |
| Year of Publication | 2014 |
| Authors | F.- Javier Heredia; Ma. Pilar Muñoz; Josep Anton Sánchez; Maria Dolores Márquez; Eugenio Mijangos; Marlyn Dayana Cuadrado Guevara |
| Type of participation | Principal Investigator (IP) |
| Duration | 01/2014-12/2016 |
| Call | PROGRAMA ESTATAL DE INVESTIGACIÓN, DESARROLLO E INNOVACIÓN ORIENTADA A LOS RETOS DE LA SOCIEDAD |
| Funding organization | Ministry of Economy and Competitivity, Government of Spain |
| Partners | Universitat Politècnica de Catalunya; Universitat Autònoma de Barcelona (Catalonia) Euskal Herriko Unibersitatea (Basc Country) Universidad Pontificia de Comillas (Madrid) Universidade Paulista Júlia de Mesquita Filho (Brasil) North Carolina State University (USA) Electrical Utilities: Iberdrola, Gas Natural - Fenosa. Research centers: Catalonia Institute for Energy Research. |
| Full time researchers | 4,5 |
| Budget | 49.000€ |
| Project code | MTM2013-48462-C2-1-R |
| Key Words | research; MTM2013-48462; forecasting, optimization, wind generation, energy markets; mineco; competitive; public; project; energy |
| Abstract | The coordinated project " Forecasting and Optimization of Wind Generation in Energy Markets" ( FOWGEM) aims at aplying a global approach to the problem of the optimal integration of the wind-enery generation of a generation company in the wholesale electricity market through the combination of statistical forecasting models, mathematical programming models for electricity markets and optimization algorithms. In the framework of the Spanish Strategy for Science and Technology and Innovation 2013-2020 this project contributes fundamentally to challenge 3, " safe, sustainable and clean energy ." Indeed, the forecasting and optimization models and procedures that will be developed in this project, are the necessary mechanisms to allow the competitive and safe integration of wind-energy generation in the multiple-markets based wholesale national energy production system. The FOWGEM project adopts an original and global approach to this problem that combines advanced methodologies in the area of statistics, mathematical modeling of energy markets and theoretical and computatitonal optimization that were developed in several previous projects of the Plan Nacional by the groups of the Universidad Politècnica de Catalunya and the Universidad Pontificia de Comillas . The main objecives of the project are:
|
| URL | Click Here |
| Export | Tagged XML BibTex |
A multi-objective approach to infrastructure planning in the early stages of EV introduction
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 |
| Export | Tagged XML BibTex |
Stochastic optimal generation bid to electricity markets with emission risk constraints.
Sun, 11/17/2013 - 19:22 — admin| Publication Type | Report |
| Year of Publication | 2013 |
| Authors | F.-Javier Heredia; Julian Cifuentes; Cristina Corchero |
| Pages | 21 |
| Date | 09/2013 |
| Reference | Research report DR 2013/04, Dept. of Statistics and Operations Research. E-Prints UPC, http://hdl.handle.net/2117/20640. Universitat Politècnica de Catalunya |
| Prepared for | submitted |
| Key Words | research; OR in Energy; Stochastic Programming; Risk Management; Electricity market; Emission reduction |
| Abstract | There are many factors that influence the day-ahead market bidding strategies of a generation company (GenCo) in the current energy market framework. Environmental policy issues have become more and more important for fossil-fuelled power plants and they have to be considered in their management, giving rise to emission limitations. This work allows investigating the influence of the emission reduction plan, and the incorporation of the derivatives medium-term commitments in the optimal generation bidding strategy to the day-ahead electricity market. Two different technologies have been considered: the coal thermal units, high-emission technology, and the combined cycle gas turbine units, low-emission technology. The Iberian Electricity Market (MIBEL) and the Spanish National Emission Reduction Plan (NERP) defines the environmental framework to deal with by the day-ahead market bidding strategies. To address emission limitations, some of the standard risk management methodologies developed for financial markets, such as Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR), have been extended giving rise to the new concept of Conditional Emission-at-Risk (CEaR). This study offers to electricity generation utilities a mathematical model to determinate the individual optimal generation bid to the wholesale electricity market, for each one of their generation units that maximizes the long-run profits of the utility abiding by the Iberian Electricity Market rules, as well as the environmental restrictions set by the Spanish National Emissions Reduction Plan. The economic implications for a GenCo of including the environmental restrictions of this National Plan are analyzed, and the effect of the NERP in the expected profits and optimal generation bid are analyzed. |
| URL | Click Here |
| Export | Tagged XML BibTex |
Optimal Management of Microgrids
Thu, 07/19/2012 - 21:10 — admin| Publication Type | Tesis de Grau i Màster // BSc and MSc Thesis |
| Year of Publication | 2012 |
| Authors | Lucia Igualada González |
| Director | F.-Javier Heredia; Cristina Corchero |
| Tipus de tesi | Tesi Final Màster // MSc Thesis |
| Titulació | Master in Statistics and Operations Research |
| Centre | Faculty of Mathematics and Statistics |
| Data defensa | 04/07/2012 |
| Nota // mark | 10 MH // 10/10 |
| Key Words | research; teaching; smartgrids; microgrid; migrogrid central controller; electric vehicle; MSc Thesis |
| Abstract | Smart grids and microgrids are the key in the near future where a decentralization of energy generation is expected. From the point of view of microgrid energy management, economic scheduling for generation devices, storage systems and loads is a crucial problem. Performance an optimization process is necessary to minimize the operating costs while several operational constraints are taken into account. Energy management is carried out by MCC (Microgrid Central Controller) in three steps: tertiary, secondary and primary controls. Tertiary control is executed one day-ahead and has two objectives. The first is an economic optimization using a program based on an Economic Dispatch and an Unit Commitment problem. The second objective is to improve the por tability of the supply and demand balance by interacting with the grid and taking advantage of the V2G (vehicle-to-grid) capability of the charging spot, and to generate a schedule over all components of the microgrid. The secondary control receives the scheduling plan created by tertiary control and taking into account current data, corrects the power outputs of generation units. Exchanged power with the grid and storage states of charge programmed by the tertiary control are ensured. This Energy Management System has been tested over different scenarios. One of them is based on a smart house with a photovoltaic module, a micro wind turbine and one electric vehicle charging spot. The other scenario is based on a large building where one micro gas turbine and one storage device have been added to the rest of units. After analysing the results, several conclusions have been deduced such as a change in curve of load and a lower cost for the user. Generally, the consumption over peak periods is decreased or is almost zero in some test cases, while the demand overnight is increased. |
| Export | Tagged XML BibTex |
Optimal sizing of microgrids: a fast charging station case
Thu, 07/19/2012 - 21:00 — admin| Publication Type | Proceedings Article |
| Year of Publication | 2012 |
| Authors | Cristina Corchero; M. Cruz; F.-Javier Heredia; J.-I. Cairo; L. Igualada; A. Romero |
| Conference Name | 2012 9th International Conference on the European Energy Market (EEM 2012) |
| Series Title | IEEE Conference Publications |
| Pagination | 1-6 |
| Conference Start Date | 10/05/2012 |
| Publisher | IEEE |
| Conference Location | Florence, Italy |
| Editor | IEEE |
| ISBN Number | 978-1-4673-0834-2 |
| Key Words | research; electrical vehicle; smartgrids; charging station; microgrid; queuing system; paper |
| Abstract | In this work we focus on the optimal design of electric vehicle charging stations. We consider investment, operational costs, physical constraints and different electricity pricing strategies. The size of the various components in the microgrid architecture and the suitability of the storage system are analysed. The electric vehicle charging demand is modelled through a queuing system. |
| URL | Click Here |
| DOI | 10.1109/EEM.2012.6254677 |
| Export | Tagged XML BibTex |
Optimal electricity market bidding strategies considering emission allowances
Thu, 07/19/2012 - 20:45 — admin| Publication Type | Proceedings Article |
| Year of Publication | 2012 |
| Authors | Cristina Corchero; F.-Javier Heredia; Julián Cifuentes |
| Conference Name | 2012 9th International Conference on the European Energy Market (EEM 2012) |
| Series Title | IEEE Conference Publications |
| Pagination | 1-8 |
| Conference Start Date | 10/05/2012 |
| Publisher | IEEE |
| Conference Location | Florence |
| Editor | IEEE |
| ISSN Number | - |
| ISBN Number | 978-1-4673-0834-2 |
| Key Words | research; elecriticy; markets; CO2 allowances; emissions limits; environment; stochastic programming; modeling languages; paper |
| Abstract | There are many factors that influence the day-ahead market bidding strategies of a GenCo in the current energy market framework. In this work we study the influence of both the allowances and emission reduction plan and the incorporation of the derivatives medium-term commitments in the optimal generation bidding strategy to the day-ahead electricity market. Two different technologies have been considered: the coal thermal units, high-emission technology, and the combined cycle gas turbine units, low-emission technology. The operational characteristics of both kinds of units are modeled in detail. We deal with this problem in the framework of the Iberian Electricity Market and the Spanish National Emissions and Allocation Plans. The economic implications for a GenCo of including the environmental restrictions of these National Plans are analyzed. |
| URL | Click Here |
| DOI | 10.1109/EEM.2012.6254676 |
| Preprint | http://hdl.handle.net/2117/18691 |
| Export | Tagged XML BibTex |
Optimal electricity market bidding strategies considering emission allowances
Thu, 07/19/2012 - 10:31 — admin| Publication Type | Conference Paper |
| Year of Publication | 2012 |
| Authors | Cristina Corchero; F.-Javier Heredia; Julián Cifuentes |
| Conference Name | 9th International Conference on the European Energy Market (EEM12) |
| Conference Date | 10-12/05/2012 |
| Conference Location | Florence, Italy |
| Type of Work | Contributed presentation |
| Key Words | research; elecriticy; markets; CO2 allowances; emissions limits; environment; stochastic programming; modeling languages |
| Abstract | There are many factors that influence the day-ahead market bidding strategies of a GenCo in the current energy market framework. In this work we study the influence of both the allowances and emission reduction plan and the incorporation of the derivatives medium-term commitments in the optimal generation bidding strategy to the day-ahead electricity market. Two different technologies have been considered: the coal thermal units, high-emission technology, and the combined cycle gas turbine units, low-emission technology. The operational characteristics of both kinds of units are modeled in detail. We deal with this problem in the framework of the Iberian Electricity Market and the Spanish National Emissions and Allocation Plans. The economic implications for a GenCo of including the environmental restrictions of these National Plans are analyzed. |
| URL | Click Here |
| Export | Tagged XML BibTex |
New publications
- Speculation – postponement strategies in supply chain network design problems: a modelling framework for new supply chain strategies through stochastic optimization
- Optimal Participation of Energy Communities in Electricity Markets under Uncertainty. A Multi-Stage Stochastic Programming Approach
- Optimal Participation of Energy Communities in Electricity Markets under Uncertainty. A Multi-Stage Stochastic Programming Approach
- Enhancing Shopping Centre Profitability through Optimized Tenant Mix and Synergistic Placement
- A model to optimize the tenant mix in a shopping centre