Methodology for BESS Design Assisted by Choice Matrix Approach

Authors

  • Rodrigo Cassio de Barros Universidade Federal do Rec ˆoncavo da Bahia, Department of Electrical Engineering, Cruz das Almas – BA, Brazil https://orcid.org/0000-0002-7662-3947
  • William Caires Silva Amorim Federal University of Minas Gerais, Graduate Program in Electrical Engineering, Belo Horizonte – MG, Brazil https://orcid.org/0000-0002-2054-4393
  • Wallace do Couto Boaventura Federal University of Minas Gerais, Graduate Program in Electrical Engineering, Belo Horizonte – MG, Brazil.
  • Allan Fagner Cupertino Universidade Federal de Juiz de Fora, Department of Electrical Energy, Juiz de Fora – MG, Brazil. https://orcid.org/0000-0001-8418-1985
  • Victor Flores Mendes Federal University of Minas Gerais, Graduate Program in Electrical Engineering, Belo Horizonte – MG, Brazil
  • Heverton Augusto Pereira Universidade Federal de Viçosa, Department of Electrical Engineering, Viçosa – MG, Brazil. https://orcid.org/0000-0003-0710-7815

DOI:

https://doi.org/10.18618/REP.2005.1.019027

Keywords:

Battery Selection, CAPEX, Decision Matrix, OPEX Concepts, BESS Design

Abstract

Battery Energy Storage Systems (BESS) can provide several ancillary services to renewable energy-dominated power systems. However, the choice of the battery employed in the projects is not a straightforward task, since there are several criteria that should be taken into account. Thus, six criteria are considered in this work: the system dc-link voltage, battery lifetime, battery bank volume, battery bank power losses, battery bank price and storage capacity index. The last criterion is related to the BESS energy storage capacity during one-year mission profile operation, which depends on the battery selected for the project. The Multiple Criteria Decision Making (MCDM) is used to choose the best battery based on the relative importance between the Operational Expenditure (OPEX) and Capital Expenditure (CAPEX) concepts. The methodology proposed in this work was applied to 27 batteries composed by lead-acid and Li-ion batteries aiming to select the best solution for a Photovoltaic (PV) system with storage energy based on the peak shaving operation mode. Considering the CAPEX with more relative importance, a lead-acid battery bank was found to be the best solution. On the other hand, when the OPEX is considered more important, a Li-ion battery bank was selected as the best solution.

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Author Biographies

Rodrigo Cassio de Barros, Universidade Federal do Rec ˆoncavo da Bahia, Department of Electrical Engineering, Cruz das Almas – BA, Brazil

holds a degree in Electrical Engineering from the Federal University of Vic ̧osa – UFV (2017), a sandwich degree in Electrical Engineering from the University of Minnesota – UofM (2014–2015). He holds a master’s degree in Electrical Engineering from the Federal Center for Technological Education of Minas Gerais – CEFET (2018). Furthermore, he holds a PhD in Electrical Engineering from the Federal University of Minas Gerais UFMG (2019–2022). He worked as a substitute professor at CEFET-MG (Leopoldina Campus) and he is currently an Adjunct Professor A at the Center for Exact and Technological Sciences at the Federal University of Recˆoncavo da Bahia UFRB. He teaches subjects in the areas of Energy Conversion, Electrical Machines, and Power Electronics. He is currently also a
Professor of the Specialization in Isolated and Grid-Connected Photovoltaic Systems at the Federal University of Vic ̧osa. He is an aspiring member of the Brazilian Society of Power Electronics (SOBRAEP) and manager of GESEP (Management of Power Electronics Specialists). He has experience in the
field of power electrical systems and power electronics, mainly working on the following topics: multifunctional inverters, reliability of photovoltaic inverters, harmonic current compensation, and energy storage system. 

William Caires Silva Amorim, Federal University of Minas Gerais, Graduate Program in Electrical Engineering, Belo Horizonte – MG, Brazil

was born in Caetite-BA, Brazil in 1996. He is a professor at the Federal Institute of Education, Science, and Technology of Minas Gerais, a Ph.D. student in Electrical Engineering at the Federal University of Minas Gerais, and a professor of the Lato Sensu Postgraduate Course in Isolated and Connected Photovoltaic Systems at the Department of Engineering Electrical at the Federal University of Vi ̧cosa. Graduated in Electrical Engineering at the Federal University of Vi ̧cosa (UFV) and Master in Electrical Engineering at the Federal Center for Technological Education of Minas Gerais (CEFET-MG). He was a substitute professor at the Department of Electrical Engineering at the UFV, a Scientific Initiation Scholarship (IC) in the area of Information Theory, with an emphasis on Coding Theory by the PICME (Scientific Initiation and Master’s Program) and monitor of the Signals and Systems. He is currently an effective member of the Brazilian Society of Power Electronics (SOBRAEP), an associate member of the Institute of Electrical and Electronics Engineers (IEEE), and a member of GESEP, where he develops research in the area of Renewable Energy and Storage Systems. He was highlighted for the excellent Academic Performance of the 2018.1 graduating class of the Electrical Engineering course at UFV and awarded second place in the IEEE IAS Zucker Design Contest Results 2022 award.

 

Wallace do Couto Boaventura, Federal University of Minas Gerais, Graduate Program in Electrical Engineering, Belo Horizonte – MG, Brazil.

graduated in Electrical Engineering from the Federal University of Minas Gerais (1987), Master’s in Electrical Engineering from the Federal University of Minas Gerais (1990) and
Ph.D. in Electrical Engineering from the State University of Campinas (2002)., with an internship at the University of Toronto (UofT). He is currently a full professor at the Federal University of Minas Gerais. He has experience in the field of Electrical Engineering, with an emphasis on Electric Power Transmission, Electric Power Distribution, working mainly on the following topics: power systems, electromagnetic compatibility, atmospheric discharge, high voltage and signal processing applications.

Allan Fagner Cupertino, Universidade Federal de Juiz de Fora, Department of Electrical Energy, Juiz de Fora – MG, Brazil.

received the B.S. degree in electrical engineering from the Federal University of Viçosa (UFV) in 2013, the M.S. and Ph.D. degrees in Electrical Engineering from the Federal University of Minas Gerais (UFMG) in 2015 and 2019, respectively. He was a guest Ph.D. at the Department of Energy Technology, Aalborg University from 2018 to 2019. From 2014 to 2022, he was an Assistant Professor in the
area of electric machines and power electronics at the Federal Center of Technological Education of Minas Gerais (CEFET). Since 2023, he has been with the Department of Electrical Energy at the Federal University of Juiz de Fora (UFJF). His main research interests include renewable energy conversion systems, smart battery energy storage systems, cascaded multilevel converters, and reliability of power electronics. Prof. Cupertino was the recipient of the President Bernardes Silver Medal in 2013, the SOBRAEP Ph.D. Thesis Award in 2020 and the IAS CMD Ph.D. Thesis Contest in 2021. He is a member of the Brazilian Power Electronics Society (SOBRAEP) and Brazilian Society of Automatics (SBA).

Victor Flores Mendes, Federal University of Minas Gerais, Graduate Program in Electrical Engineering, Belo Horizonte – MG, Brazil

graduated in Control and Automation Engineering in the first semester of 2008 at the Federal University of Minas Gerais. Obtained a master’s degree and a doctorate in Electrical Engineering from the same institution in October 2009 and May 2013, respectively, conducting research related to the behavior of doubly-fed induction generators during voltage sags and the development of new control strategies for this technology. Between December 2009 and November 2010, he undertook a sandwich
doctorate at the Technical University of Dresden in Germany, working on wind power generation projects. From January 2020 to May 2021, he completed a postdoctoral fellowship in power electronics at the LAPLACE Laboratory in France under the supervision of Dr. Thierry Meynard. He was a professor at the Federal University of Itajub ́a – Itabira Campus between 2011 and 2013. He is currently a professor in the Department of Electrical Engineering at UFMG, teaching subjects related to Electrical Drives and
Alternative Energy Sources. He is currently the coordinator of the Latu Sensu Postgraduate Course in Renewable Energies at UFMG. He has been developing research projects with official funding agencies and companies in the Brazilian electric sector, mainly focused on wind and photovoltaic energy conversion systems and battery storage systems. His main interests are: energy generation and conversion based on alternative sources (wind and photovoltaic), the design of control systems applied to such conversion systems, distributed generation, electrical drives, and electrical machines.

Heverton Augusto Pereira, Universidade Federal de Viçosa, Department of Electrical Engineering, Viçosa – MG, Brazil.

received the B.S. degree in electrical engineering from the Federal University of Viçosa, Brazil, in 2007, the M.Sc. degree in electrical engineering from the University of Campinas, Brazil, in 2009, and the Ph.D. degree in electrical engineering from the Federal University of Minas Gerais, Brazil, in 2015. He was a visiting Researcher with the Department of Energy Technology, Aalborg University, Denmark, in 2014. In 2009, he joined the Department of Electrical Engineering, Federal University of Viçosa, where he is currently Professor. Since 2017 he has been a member of the pos-graduation program in Electrical Engineering from UFSJ/CEFET-MG and since 2020 he is Coordinator of Specialization in Photovoltaic System at Federal University of Viçosa. His research interests include grid-connected converters for photovoltaic systems and battery energy storage systems.

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Published

2024-06-14

How to Cite

[1]
R. C. de Barros, W. C. S. Amorim, W. do C. Boaventura, A. F. Cupertino, V. F. Mendes, and H. A. Pereira, “Methodology for BESS Design Assisted by Choice Matrix Approach”, Eletrônica de Potência, vol. 29, p. e202412, Jun. 2024.

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Original Papers