energy and power systems

A multistage stochastic programming model for the optimal management of wind-BESS virtual power plants

 A new multi-stage stochastic programming model for the optimal bid of a wind producer both in spot and
ancillary services electricity markets has been presented inthe conference WindFarms 2017. We analyse the effect of the BESS and the
reserve market to the optimal bidding strategies of the VPP with real data
from the Iberian Electricity Market Operator (OMIE) and wind production data from Gas Natual - Fenosa. The complete presentation can be downloaded from here

A Study on Feasibility of the Distributed Battery Energy Storage Systems in Spanish Retail Electricity Market

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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On the optimal participation in electricity markets of wind power plants with battery energy storage systems

Publication TypeConference Paper
Year of Publication2016
AuthorsF.-Javier Heredia; Cristina Corchero; Marlyn D. Cuadrado
Conference Name28th European Conference on Operational Research
Series TitleConference Handbook
Pagination322
Conference Date3-6/07/2016
Conference LocationPoznan, Poland
Type of Workcontributed presentation.
Key Wordsresearch; VPP; wind generation; battery energy storage system; stochastic programming; electricity market; optimal bid
AbstractThe 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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Economic analysis of battery electric storage systems operating in electricity markets

Publication TypeProceedings Article
Year of Publication2015
AuthorsF.-Javier Heredia; Jordi Riera; Montserrat Mata; Joan Escuer; Jordi Romeu
Conference Name12th International Conference on the European Energy Market (EEM15)
Pagination1- 5
Conference Start Date19/05/2015
PublisherIEEE
Conference LocationLisbone, Portugal.
ISBN Number978-1-4673-6692-2/15
Key Wordsvirtual power plants; energy economy; battery energy storage systems; electricity markets; SAS/OR; wind power; research; paper
AbstractBattery 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.
URLClick Here
DOI10.1109/EEM.2015.7216739
Preprinthttp://hdl.handle.net/2117/82524
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Energía: nuevos actores, nuevas tecnologías

Publication TypeConference/School/Seminar attendance
Year of Publication2015
AuthorsF.-Javier Heredia
Conference NameEnergía: nuevos actores, nuevas tecnologías
Event TypeSeminar
Conference OrganiserFundación gas Natural Fenosa
Conference Dates6-10/07/2015
Conference LocationBarcelona
Key Wordsresearch; energy
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El almacenamiento de la electricidad

Publication TypeConference/School/Seminar attendance
Year of Publication2015
AuthorsF.-Javier Heredia
Event TypeSeminar
Conference OrganiserFundación gas Natural fenosa
Conference Dates17/02/2015
Conference LocationMadrid, Spain
Key Wordsresearch; MTM2013-48462-C2-1; electricity storage systems
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A multi-objective approach to infrastructure planning in the early stages of EV introduction

Publication TypeConference Paper
Year of Publication2015
AuthorsCristina Corchero; Andina Brown; Oriol Serch; Miguel Cruz; F.-Javier Heredia
Conference Name27th European Conference on Operational Research
Conference Date12-15/07/2015
Conference LocationGlasgow, UK.
Type of Workinvited
Key Wordsresearch; multi objective optimization; electrical vehicle, charging point location
AbstractThe 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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Parallel Proximal Bundle Methods for Stochastic Electricity Market Problems

Publication TypeConference Paper
Year of Publication2015
AuthorsF.-Javier Heredia; Antonio Rengifo
Conference Name27th European Conference on Operational Research
Conference Date12-15/07/2015
Conference LocationGlasgow, UK.
Type of Workinvited
Key Wordsresearch; MTM2013-48462-C2-1; mixed-integer nonlinear programming; proximal bundle methods; multimarket electricity problems; parallelism
AbstractThe 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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