F.-Javier Heredia - Academic web site

Last September 16 2016 Mr Maksims Sisovs, student of the "KIC InnoEnergy" Master of Science in Smart Electrical Networks and Systems defended their MSc Thesis A Study on Feasibility of the Distributed Battery Energy Storage Systems in Spanish Retail Electricity Market. This project was proposed by Minsait, an advanced technological consultancy from the Indra's group, and developed under my academical supervision. The objective of the study was to analyse the business opportunity of distributed battery energy storage systems deployed in residential neighbourhoods (LiIon batteries, both static devices and mobile through electrical vehicle). The methodology applied was based on the adaptation of the mathematical optimization model presented in the paper Economic analysis of battery electric storage systems operating in electricity markets (Heredia et al. 2015) to the data of the smart meters deployed by several electrical utilities (more than 20 millions of consumption readings). This work deserved the maximum grade, A+ with honours.

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 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 27th European Conference on Operational Research  was held in Glasgow, hosted by the University of Strathclyde, during 12-15 July 2015. I participated in the sessions with the following two works:

The first one, Parallel Proximal Bundle Methods for Stochastic Electricity Market Problems  in collaboration with Mr. Antonio Rengifo, a former student of our Master in Statistics and Operations Research.

The second one, entitled A multi-objective approach to infrastructure planning in the early stages of EV introduction  in collaboration with the Energy Economy group of the Catalonia Institute for Energy Reseach.

In the photography, me (right) with two of the coauthors of the last paper, Dr. Cristina Corchero (left) and Ms. Andina Brown (center).

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	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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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.
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