Virtual Power Plant
Economic analysis of battery electric storage systems operating in electricity markets
Wed, 06/24/2015 - 13:06 — admin| Publication Type | Conference Paper |
| Year of Publication | 2015 |
| Authors | F.-Javier Heredia; Jordi Riera; Montserrat Mata; Joan Escuer; Jordi Romeu |
| Conference Name | 12th International Conference on the European Energy Market |
| Conference Date | 19-22/05/2015 |
| Conference Location | Lisbon, Portugal |
| Type of Work | contributed presentation |
| Key Words | research; MTM2013-48462-C2-1; battery electricity storage systems; electricity markets; day-ahead market; secondary reserve market; SAS/OR; wind power plants; energy economy; virtual power plant |
| Abstract | Battery electric storage systems (BESS) in the range of 1-10 MWh is a key technology allowing a more efficient operation of small electricity market producer. The aim of this work is to assess the economic viability of Li-ion based BESS systems for small electricity producers. The results of the ex-post economic analysis performed with real data from the Iberian Electricity Market shows the economic viability of a Li-ion based BESS thanks to the optimal operation in day-ahead and ancillary electricity markets. |
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Optimal Bidding Strategies for Thermal and Generic Programming Units in the Day-Ahead Electricity Market
Fri, 03/19/2010 - 16:00 — admin| Publication Type | Journal Article |
| Year of Publication | 2010 |
| Authors | Heredia, F.-J; Rider, M.-Julio; Corchero, C. |
| Journal Title | IEEE Transactions on Power Systems |
| Volume | 25 |
| Issue | 3 |
| Pages | 1504-1518 |
| Start Page | 1504 |
| Journal Date | Aug. 2010 |
| Publisher | IEEE Power & Energy Society |
| ISSN Number | 0885-8950 |
| Key Words | research; paper; bilateral contracts; electricity spot market; optimal bidding strategies; short-term electricity generation planning; stochastic programming; virtual power plant auctions |
| Abstract | This study has developed a stochastic programming model that integrates the day-ahead optimal bidding problem with the most recent regulation rules of the Iberian Electricity Market (MIBEL) for bilateral contracts (BC), with a special consideration for the new mechanism to balance the competition of the production market, namely virtual power plant (VPP) auctions. The model allows a price-taking generation company (GenCo) to decide on the unit commitment of the thermal units, the economic dispatch of the BCs between the thermal units and the generic programming unit (GPU), and the optimal sale/purchase bids for all units (thermal and generic), by observing the MIBEL regulation. The uncertainty of the spot prices has been represented through scenario sets built from the most recent real data using scenario reduction techniques. The model has been solved using real data from a Spanish generation company and spot prices, and the results have been reported and analyzed. |
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| DOI | 10.1109/TPWRS.2009.2038269 |
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Optimal Bidding Strategies for Thermal and Generic Programming Units in the Day-ahead Electricity Market
Fri, 12/19/2008 - 10:57 — admin| Publication Type | Report |
| Year of Publication | 2008 |
| Authors | Heredia, F.-Javier, Rider, Marcos.-J., Corchero, C. |
| Pages | 12 |
| Date | 11/2008 |
| Reference | Research report DR 2008/13, Dept. of Statistics and Operations Research. E-Prints UPC, http://hdl.handle.net/2117/2468. Universitat Politècnica de Catalunya |
| Prepared for | Published on august 2010 at IEEE Transactions on Power Systems |
| Key Words | research; stochastic programming; electricity markets; day-ahead market, bilateral contracts; Virtual Power Plants; optimal bid |
| Abstract | This paper develops a stochastic programming model that integrates the day-ahead optimal bidding problem with the most recent regulation rules of the Iberian Electricity Market (MIBEL) for bilateral contracts, with a special consideration for the new mechanism to balance the competition of the production market, namely virtual power plants auctions (VPP). The model allows a price-taker generation company to decide the unit commitment of the thermal units, the economic dispatch of the bilateral contracts between the thermal units and the generic programming unit (GPU) and the optimal sale/purchase bids for all units (thermal and generic) observing the MIBEL regulation. The uncertainty of the spot prices is represented through scenario sets built from the most recent real data using scenario reduction techniques. The model was solved with real data from a Spanish generation company and spot prices, and the results are reported and analyzed. |
| URL | Click Here |
| Export | Tagged XML BibTex |
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