F.-Javier Heredia - Academic web site

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 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 different 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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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	Leire Citores; Cristina Corchero; F.-Javier Heredia
Conference Name	12th International Conference on the European Energy Market (EEM15)
Pagination	1-6
Conference Start Date	19-22/05/2015
Publisher	IEEE
Conference Location	Lisbon, Portugal.
ISBN Number	978-1-4673-6691-5
Key Words	Microgrids; Optimization; Production; Stochastic processes; Uncertainty; Wind power generation; Wind speed; energy system optimization; microgrid; scenario generation; stochastic programming; paper; research
Abstract	In this work a scenario-based two-stage stochastic programming model is proposed to solve a microgrid's tertiary control optimization problem taking into account some renewable energy resource's uncertainty as well as uncertain energy deviation prices in the electricity market. Scenario generation methods for wind speed realizations are also studied. Results show that the introduction of stochastic programming represents a significant improvement over a deterministic model.
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DOI	10.1109/EEM.2015.7216761
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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.
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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	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.
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Publication Type	Conference Paper
Year of Publication	2015
Authors	F.-Javier Heredia; Antonio Rengifo
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; MTM2013-48462-C2-1; mixed-integer nonlinear programming; proximal bundle methods; multimarket electricity problems; parallelism
Abstract	The use of stochastic programming to solve real instances of optimal bid problems in electricity market usually implies the solution of large scale mixed integer nonlinear optimization problems that can't be tackled with the available general purpose commercial optimisation software. In this work we show the potential of proximal bundle methods to solve large scale stochastic programming problems arising in electricity markets. Proximal bundle methods was used in the past to solve deterministic unit commitment problems and are extended in this work to solve real instances of stochastic optimal bid problems to the day-ahead market (with embedded unit commitment) with thousands of scenarios. A parallel implementation of the proximal bundle method has been developed to take profit of the separability of the lagrangean problem in as many subproblems as generation bid units. The parallel proximal bundle method (PPBM) is compared against general purpose commercial optimization software as well as against the perspective cuts algorithm, a method specially conceived to deal with quadratic objective function over semi-continuous domains. The reported numerical results obtained with a workstation with 32 threads show that the commercial software can’t find a solution beyond 50 scenarios and that the execution times of the proposed PPBM are as low as a 15% of the execution time of the perspective cut approach for problems beyond 800 scenarios.
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The International Conference on the European Energy Market  is the premier forum for the exchange of ideas and to discuss the development of the energy markets in Europe. It has achieved a huge success during the past eleven editions covering the electricity and gas markets policies and experiences, climate change impacts on the sector and developments at the European level. In 2015, the EEM was hosted by ISEL - Instituto Superior de Engenharia de Lisboa in cooperation with the Technical University of Lodz. I contributed to this conference with the presentation of the following two works:

• Economic analysis of battery electric storage systems operating in electricity markets.
• A stochastic programming model for the tertiary control of microgrids.

Publication Type	Conference Paper
Year of Publication	2015
Authors	Leire Citores; Cristina Corchero; F.-Javier Heredia
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; microgrid; stochastic programming; scenario generation; wind power
Abstract	In this work a scenario-based two-stage stochastic programming model is proposed to solve a microgrid’s tertiary control optimization problem taking into account some renewable energy resource’s uncertainty as well as uncertain energy deviation prices in the electricity market. Scenario generation methods for wind speed realizations are also studied. Results show that the introduction of stochastic programming represents a significant improvement over a deterministic model.
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