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Multistage stochastic programming for the optimal bid of a wind-thermal power production pool with battery storage.

Fri, 07/08/2022 - 11:26 — admin
Publication TypeConference Paper
Year of Publication2022
AuthorsF.-Javier Heredia; Ignasi Mañé; Marlyn Dayana Cuadrado Guevara
Conference NameEURO 2022
Conference Date03-06/07/2022
Conference LocationEspoo, Finland.
Type of WorkInvited presentation
ISBN Number978-951-95254-1-9
Key Wordsresearch; multistage stochastic programming; virtual power plants; unit commitment
AbstractIn this study we present a multistage stochastic programming model to find the joint optimal bid to electricity markets of a pool of dispatchable (thermal) and non-dispatchable (wind) production units with battery storage facilities. The assumption is that these programming units are operated by the same utility that, previous to the market clearing, has to dispatch some bilateral contracts with the joint production of the production pool. The multistage model mimics the multimarket bidding process in the Iberian Electricity Market (MIBEL). First, the utility has to decide how to cover the energy of the bilateral contracts with the available units. Second, the production capacity of each unit, not allocated to the bilateral contracts, must be offered to the seven consecutives spot markets (day-ahead and six intraday markets) plus the secondary reserve market (the most relevant ancillary services market). The stochasticity of the electricity clearing prices and the hourly generation of the wind-power units is considered. The stochastic process associated to this multistage decision-making process is modelled through multistage scenario trees with thirty-four stages that are built from forecasting models based on real data of the Iberian Electricity Market. The numerical results show the advantage of the joint operation of the pool of production units with an increase of the overall expected profits, mainly due to a strong reduction of the operational costs.
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Estratègies de Compra d’Energia Elèctrica a l’Estat Espanyol

Mon, 05/20/2019 - 09:58 — admin
Publication TypeTesis de Grau i Màster // BSc and MSc Thesis
Year of Publication2017
AuthorsRoger Reixach Sánchez
DirectorF.-Javier Heredia, Jordi de la Hoz
Tipus de tesiMSc Thesis
TitulacióMaster en Enginyeria de l'Energia
CentreETSEIB
Data defensa11/2017
Nota // mark6
Key Wordsteaching; electricity markets; MSc Thesis
DOI / handlehttp://hdl.handle.net/2117/109081
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Study and Implementation of the EUPHEMIA Model in European Energy Markets

Fri, 09/14/2018 - 11:49 — admin
Publication TypeTesis de Grau i Màster // BSc and MSc Thesis
Year of Publication2018
AuthorsRoger Pasola
DirectorF.-Javier Heredia; Josep Salas
Tipus de tesiMSc Thesis
TitulacióMàster in Industrial Engeneering
CentreETSEIB
Data defensa03/11/2018
Nota // mark9.0
Key Wordsteaching; electricity markets; EUPHEMIA; MSc Thesis
DOI / handlehttp://hdl.handle.net/2117/123837
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A Study on Feasibility of the Distributed Battery Energy Storage Systems in Spanish Retail Electricity Market

Tue, 09/27/2016 - 09:19 — admin
Publication TypeTesis de Grau i Màster // BSc and MSc Thesis
Year of Publication2016
AuthorsMaksims Sisovs
DirectorF.-Javier Heredia
Tipus de tesiMSc Thesis
Titulació"KIC InnoEnergy" Master of Science in Smart Electrical Networks and Systems
CentreEscola Tècnica Superior d'Enginyeria Industrial de Barcelona (ETSEIB)
Data defensa16/09/2016
Nota // mark10 MH (A+ with honours)
Key Wordsteaching; BEES; battery energy storage systems; electrical vehicle; smart meters; retail energy market; MSc Thesis
AbstractThe 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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