Last december I was invited to the 4th International Conference on Optimization Methods and Software 2017 that was held in La Havana, to present the study A Multistage Stochastic Programming Model for the Optimal Bid of Wind-BESS Virtual Power Plants to Electricity Markets. This study was developed in collaboration with Marlyn Cuadrado and Josep Anton Sánchez, from my same department in the UPC, and is a partial result of the research project FOWGEM. This study is a follow up of the previous work presented in the WindFarms 2017 Conference extended with a new methodology to treat the uncertainty, based in forecasting models, and the study of the quality of the stochastic solution through the Value of the Stochastic Solution. In the animated graph you can observe how the the probability distribution of several recourse variables (optimal bid, imbalances, charge/discharge and SOC) evolves along five working days.
Publication Type | Conference Paper |
Year of Publication | 2017 |
Authors | F.-Javier Heredia; Marlyn D. Cuadrado |
Conference Name | WindFarms 2017 |
Conference Date | 31/05-02/06/2017 |
Conference Location | Madrid, Spain |
Type of Work | Invited presentation |
Key Words | research; wind farms; Ion-Li battery; multistage stochastic programming; stochastic programming |
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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 prots 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 different market participants with particular features extracted from data analysis and literature. Load consumption proles 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 specific 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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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. |
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Publication Type | Proceedings Article |
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 (EEM15) |
Pagination | 1- 5 |
Conference Start Date | 19/05/2015 |
Publisher | IEEE |
Conference Location | Lisbone, Portugal. |
ISBN Number | 978-1-4673-6692-2/15 |
Key Words | virtual power plants; energy economy; battery energy storage systems; electricity markets; SAS/OR; wind power; research; paper |
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. |
URL | Click Here |
DOI | 10.1109/EEM.2015.7216739 |
Preprint | http://hdl.handle.net/2117/82524 |
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Publication Type | Conference/School/Seminar attendance |
Year of Publication | 2015 |
Authors | F.-Javier Heredia |
Event Type | Seminar |
Conference Organiser | Fundación gas Natural fenosa |
Conference Dates | 17/02/2015 |
Conference Location | Madrid, Spain |
Key Words | research; MTM2013-48462-C2-1; electricity storage systems |
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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. |
URL | Click Here |
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