risk
Stochastic optimal generation bid to electricity markets with emissions risk constraints.
Tue, 01/30/2018 - 21:12 — admin| Publication Type | Journal Article |
| Year of Publication | 2018 |
| Authors | F.-Javier Heredia; Julián Cifuentes-Rubiano; Cristina Corchero |
| Journal Title | Journal of Environmental Management |
| Volume | 207 |
| Issue | 1 |
| Pages | 12 |
| Start Page | 432 |
| Journal Date | February 2018 |
| Publisher | Elsevier |
| ISSN Number | 0301-4797 |
| Key Words | research; OR in Energy; Stochastic Programming; Risk Management; Electricity market; Emissions reduction; paper |
| Abstract | There are many factors that influence the day-ahead market bidding strategies of a generation company (GenCo) within the framework of the current energy market. Environmental policy issues are giving rise to emission limitation that are becoming more and more important for fossil-fueled power plants, and these must be considered in their management. This work investigates the influence of the emissions reduction plan and the incorporation of the medium-term derivative commitments in the optimal generation bidding strategy for the day-ahead electricity market. Two different technologies have been considered: the high-emission technology of thermal coal units and the low-emission technology of combined cycle gas turbine units. The Iberian Electricity Market (MIBEL) and the Spanish National Emissions Reduction Plan (NERP) defines the environmental framework for dealing with the day-ahead market bidding strategies. To address emission limitations, we have extended some of the standard risk management methodologies developed for financial markets, such as Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR), thus leading to the new concept of Conditional Emission at Risk (CEaR). This study offers electricity generation utilities a mathematical model for determining the unit’s optimal generation bid to the wholesale electricity market such that it maximizes the long-term profits of the utility while allowing it to abide by the Iberian Electricity Market rules as well as the environmental restrictions set by the Spanish National Emissions Reduction Plan. We analyze the economic implications for a GenCo that includes the environmental restrictions of this National Plan as well as the NERP’s effects on the expected profits and the optimal generation bid. |
| URL | Click Here |
| DOI | 10.1016/j.jenvman.2017.11.010 |
| Preprint | http://hdl.handle.net/2117/114024 |
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New paper published in Journal of Environmental Management
Sat, 01/20/2018 - 00:00 — admin
The paper Stochastic optimal generation bid to electricity markets with emissions risk constraints has been published in the Journal of Environmental Management , Elsevier. This work investigates the influence of the emissions reduction plan and the incorporation of the medium-term derivative commitments in the optimal generation bidding strategy for the day-ahead electricity market. To address emission limitations, we have extended some of the standard risk management methodologies developed for financial markets, such as Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR), thus leading to the new concept of Conditional Emission at Risk (CEaR). We analyze the economic implications for a GenCo that includes the environmental restrictions of this National Plan as well as the NERP's effects on the expected profits and the optimal generation bid. Preprint available at http://hdl.handle.net/2117/114024.
Stochastic Optimal Bid to Electricity Markets with Emission Risk Constraints
Thu, 11/27/2014 - 21:20 — admin| Publication Type | Conference Paper |
| Year of Publication | 2014 |
| Authors | F.-Javier Heredia; Julián Cifuentes; Cristina Corchero |
| Conference Name | IFORS2014: 20th Conference of the International Federation of Operational Research Societies |
| Conference Date | 13-18/07/2014 |
| Conference Location | Barcelona |
| Type of Work | Invited presentation |
| Key Words | research; emission limits; risk; stochastic programming; day-ahead electricity market; combined cycle units |
| Abstract | 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 Valueat- Risk (CVaR), have been extended giving rise to the new concept of Conditional Emission at Risk (CEaR). 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 |
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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 |
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Stochastic optimal bid to electricity markets with environmental risk constraints
Wed, 03/27/2013 - 11:21 — admin| Publication Type | Tesis de Grau i Màster // BSc and MSc Thesis |
| Year of Publication | 2012 |
| Authors | Julian Cifuentes Rubiano |
| Director | F.-Javier Heredia |
| Tipus de tesi | MSc Thesis |
| Titulació | Master in Statistics and Operations Research |
| Centre | Faculty of Mathematics and Statistics |
| Data defensa | 21/12/2012 |
| Nota // mark | 9.5/10 |
| Key Words | teaching; stochastic programming; electricity markets; CO2 allowances; environment; emission limits; emission risk; CVaR; CEaR; modeling languages; MSc Thesis |
| 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 to investigate 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 Iberian Electricity Market and the Spanish National Emissions and Allocation Plans are the framework to deal with the environmental issues in 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. 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, the environmental restrictions set by the EU Emission Trading Scheme, as well as the restrictions set by the Spanish National Emissions Reduction Plan. The economic implications for a GenCo of including the environmental restrictions of these National Plans are analyzed and the most remarkable results will be presented.. The problem to be solved in this project will provide generationutilities with a mathematical tool to find the individual optimal generation bid for each one of theirgeneration units that maximizes the long-run profits of the utility abiding by the Iberian ElectricityMarket rules, the environmental restrictions of the EU Emission Trading Scheme and also by theSpanish National Emissions Reduction Plan |
| DOI / handle | http://hdl.handle.net/2099.1/17485 |
| URL | Click Here |
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New research project granted by the "Ministerio de Ciencia e Innovación"
Fri, 11/07/2008 - 20:28 — admin 
The GNOM research group of the UPC has been granted by the Ministerio de Ciencia e Innovación of the Spanish Government to develop the research project Short - and Medium Term Multimarket Optimal Electricity Generation Planning With Risk and Environmental Constraints. This is a three years project starting on january 2009 with an assigned budget of 130.000€, that extens the work done in several previous research projects . The leader of the project is Prof. F. Javier Heredia, and participate several researchers from the Universidad Politècnica de Catalunya, Universidad del País Vasco, Universidade Estadual de Campinas-UNICAMP, University of Edinburgh and Norwegian University of Science and Technology.The spanish electrical utilities Unión Fenosa and Gas Natural are also involved in the project as external observers and promoters. Follow this link to know more about this project.
Short- and Medium-Term Multimarket Optimal Electricity Generation Planning with Risk and Environmental Constraints (DPI2008-02153)
Fri, 11/07/2008 - 19:57 — admin| Publication Type | Funded research projects |
| Year of Publication | 2008 |
| Authors | F.-Javier Heredia |
| Type of participation | Project leader |
| Duration | 01/2009-12/2011 |
| Call | Proyectos de Investigación Fundamental no Orientada 2008. IV Plan Nacional de I+D+i (2008-2011) |
| Funding organization | Ministerio de Ciencia e Innovación, Gobierno de España |
| Partners | Unión Fenosa, Gas Natural, Universidad Politècnica de Catalunya, Universidad del País Vasco, Universidade Estadual de Campinas-UNICAMP, University of Edinburgh, Norwegian University of Science and Technology. |
| Full time researchers | 6 EDP |
| Budget | 157.300'00€ |
| Project code | DPI2008-02153 |
| Key Words | research; stochastic programming; electricity markets; risc; multimarket; environmental constraints; project; public; competitive; micinn; energy |
| URL | Click Here |
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