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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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A stochastic programming model for the tertiary control of microgrids

Thu, 09/03/2015 - 10:25 — admin
Publication TypeProceedings Article
Year of Publication2015
AuthorsLeire Citores; Cristina Corchero; F.-Javier Heredia
Conference Name12th International Conference on the European Energy Market (EEM15)
Pagination1-6
Conference Start Date19-22/05/2015
PublisherIEEE
Conference LocationLisbon, Portugal.
ISBN Number978-1-4673-6691-5
Key WordsMicrogrids; Optimization; Production; Stochastic processes; Uncertainty; Wind power generation; Wind speed; energy system optimization; microgrid; scenario generation; stochastic programming; paper; research
AbstractIn 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.
URLClick Here
DOI10.1109/EEM.2015.7216761
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A stochastic programming model for the tertiary control of microgrids

Wed, 06/24/2015 - 13:19 — admin
Publication TypeConference Paper
Year of Publication2015
AuthorsLeire Citores; Cristina Corchero; F.-Javier Heredia
Conference Name12th International Conference on the European Energy Market
Conference Date19-22/05/2015
Conference LocationLisbon, Portugal
Type of Workcontributed presentation
Key Wordsresearch; MTM2013-48462-C2-1; microgrid; stochastic programming; scenario generation; wind power
AbstractIn 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.
URLClick Here
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Two new master thesis on optimal operation of microgrids in electricity markets.

Thu, 11/27/2014 - 16:52 — admin

Wind rose diagram ((c) Leire Citores)On June 2014 two new Master Thesis of the Master of Statistcs and Operations Research UPC-UB   was presented   

  • A stochastic programming model for the tertiary control of microgrids by Ms. Leire Cítores.
  • Energy Management System para una microrred domestica con participación en los servicios auxiliares de red by Ms. Irune Etxarri.

    • Dr. Cristina Corchero (IREC) and professor F.-Javier Heredia (GNOM) were the advisors of these two works developped at the facilities of the Catalonia Institute for Energy Research (IREC).

    A stochastic programming model for the tertiary control of microgrids

    Thu, 11/27/2014 - 16:48 — admin
    Publication TypeTesis de Grau i Màster // BSc and MSc Thesis
    Year of Publication2014
    AuthorsLeire Citores
    DirectorF.-Javier Heredia, Cristina Corchero
    Tipus de tesiMSc Thesis
    TitulacióMaster in Statistics and Operations research
    CentreFaculty of Mathematics and Statistics
    Data defensa27/06/2014
    Nota // mark10 MH (A with Honours)
    Key Wordsresearch; teaching; microgrids, stochastic programming; scenario generation; wind generation; day-ahead electricity market; imbalances; MSc Thesis
    AbstractIn this thesis 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 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 an improvement over a deterministic model.
    DOI / handlehttp://hdl.handle.net/2099.1/23235
    URLClick Here
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    Energy Management System para una microrred domestica con participación en los servicios auxiliares de red

    Thu, 11/27/2014 - 16:32 — admin
    Publication TypeTesis de Grau i Màster // BSc and MSc Thesis
    Year of Publication2014
    AuthorsIrune Etxarri Urtasun
    DirectorF.-Javier Heredia, Cristina Corchero
    Tipus de tesiMSc Thesis
    TitulacióMaster in Statistics and Operations Reseafrch
    CentreFaculty of Mathematics and Statistics
    Data defensa27/06/2014
    Nota // mark**
    Key Wordsteaching; research; microgrids; stochastic programming; electricity market; secondary reserve; MSc Thesis
    AbstractEn este proyecto se ha propuesto un modelo estocástico de dos etapas para la gestión de energía en una microrred doméstica, introduciendo la participación en el mercado de banda de regulación. El objetivo del modelo es determinar la potencia que se oferta al mercado diario, teniendo en cuenta la participación en el mercado de banda de regulación. Se ha introducido estocasticidad en los precios de este mercado y en los precios y probabilidades del requerimiento a subir y a bajar de la energía de regulación secundaria. Se han comparado los beneficios de la microrred en caso de participar o no en el mercado de banda de regulación, y se ha visto que la participación en dicho mercado produce grandes beneficios para sus usuarios.
    DOI / handlehttp://hdl.handle.net/2099.1/23233
    URLClick Here
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    A new paper published in IEEE Transactions on Smart Grids

    Wed, 07/30/2014 - 18:27 — admin

    ie3sgThe paper Optimal Energy Management for a Residential Microgrid Including Vehicle-to-Grid System has been published in IEEE Transactions on Smart Grids. This work, done in collaboration with the Energy Economics group of the Catalonian Institute for Energy Research (IREC), proposes an optimization model to manage a residential microgrid including a charging spot with a vehicle-to-grid system and renewable energy sources. A preprint version of the paper can be downloaded from http://hdl.handle.net/2117/20642

    Optimal Energy Management for a Residential Microgrid Including a Vehicle-to-Grid System

    Sun, 07/20/2014 - 18:34 — admin
    Publication TypeJournal Article
    Year of Publication2014
    AuthorsLucia Igualada; Cristina Corchero; Miguel Cruz; F-.Javier Heredia
    Journal TitleIEEE Transactions on Smart Grid
    Volume5
    Issue4
    Pages2163-2172
    Journal Date07/2014
    PublisherIEEE
    ISSN Number1949-3053
    Key Wordsresearch; paper; smart grids; vehicle- to-grid (V2G); renewable generation; microgrids; smartgrids; modeling
    AbstractAn optimization model is proposed to manage a residential microgrid including a charging spot with a vehicle-to-grid system and renewable energy sources. In order to achieve a realistic and convenient management, we take into account: (1) the household load split into three different profiles depending on the characteristics of the elements considered; (2) a realistic approach to owner behavior by introducing the novel concept of range anxiety; (3) the vehicle battery management considering the mobility profile of the owner and (4) different domestic renewable energy sources. We consider the microgrid operated in grid-connected mode. The model is executed one-day-ahead and generates a schedule for all components of the microgrid. The results obtained show daily costs in the range of 2.82 to 3.33 ; the proximity of these values to the actual energy costs for Spanish households validate the modeling. The experimental results of applying the designed managing strategies show daily costs savings of nearly 10%.
    URLClick Here
    DOI10.1109/TSG.2014.2318836
    Preprinthttp://hdl.handle.net/2117/20642
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    Optimal energy management for a residential microgrid including a vehicle-to-grid system

    Mon, 11/18/2013 - 16:34 — admin
    Publication TypeReport
    Year of Publication2013
    AuthorsLucía Igualada; Cristina Corchero; Miguel Cruz-Zambrano; F.-Javier Heredia
    Pages9
    Date11/2013
    ReferenceResearch report DR 2013/05, Dept. of Statistics and Operations Research. E-Prints UPC, http://hdl.handle.net/2117/20642. Universitat Politècnica de Catalunya
    Prepared forPublished at IEEE Transactions on Smart Grids (DOI: 10.1109/TSG.2014.2318836)
    Key Wordsresearch; optimal management; smart grids; vehicle-to-grid; renewable generation; microgrids
    AbstractAn optimization model is proposed to manage a residential microgrid including a charging spot with a vehicle-to-grid system and renewable energy sources. In order to achieve a realistic and convenient management, we take into account: (1) the household load split into three different profiles depending on the characteristics of the elements considered; (2) a realistic approach to owner behavior by introducing the novel concept of range anxiety; (3) the vehicle battery management considering the mobility profile of the owner and (4) different domestic renewable energy sources. We consider the microgrid operated in grid-connected mode. The model is executed one-day-ahead and generates a schedule for all components of the microgrid. The results obtained show daily costs in the range of 2.82€ to 3.33€; the proximity of these values to the actual energy costs for Spanish households validate the modeling. The experimental results of applying the designed managing strategies show daily costs savings of nearly 10%.
    URLClick Here
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    Optimal Management of Microgrids

    Thu, 07/19/2012 - 21:10 — admin
    Publication TypeTesis de Grau i Màster // BSc and MSc Thesis
    Year of Publication2012
    AuthorsLucia Igualada González
    DirectorF.-Javier Heredia; Cristina Corchero
    Tipus de tesiTesi Final Màster // MSc Thesis
    TitulacióMaster in Statistics and Operations Research
    CentreFaculty of Mathematics and Statistics
    Data defensa04/07/2012
    Nota // mark10 MH // 10/10
    Key Wordsresearch; teaching; smartgrids; microgrid; migrogrid central controller; electric vehicle; MSc Thesis
    AbstractSmart grids and microgrids are the key in the near future where a decentralization of energy generation is expected. From the point of view of microgrid energy management, economic scheduling for generation devices, storage systems and loads is a crucial problem. Performance an optimization process is necessary to minimize the operating costs while several operational constraints are taken into account. Energy management is carried out by MCC (Microgrid Central Controller) in three steps: tertiary, secondary and primary controls. Tertiary control is executed one day-ahead and has two objectives. The first is an economic optimization using a program based on an Economic Dispatch and an Unit Commitment problem. The second objective is to improve the por tability of the supply and demand balance by interacting with the grid and taking advantage of the V2G (vehicle-to-grid) capability of the charging spot, and to generate a schedule over all components of the microgrid. The secondary control receives the scheduling plan created by tertiary control and taking into account current data, corrects the power outputs of generation units. Exchanged power with the grid and storage states of charge programmed by the tertiary control are ensured. This Energy Management System has been tested over different scenarios. One of them is based on a smart house with a photovoltaic module, a micro wind turbine and one electric vehicle charging spot. The other scenario is based on a large building where one micro gas turbine and one storage device have been added to the rest of units. After analysing the results, several conclusions have been deduced such as a change in curve of load and a lower cost for the user. Generally, the consumption over peak periods is decreased or is almost zero in some test cases, while the demand overnight is increased.
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