IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2020i1p44-d466767.html
   My bibliography  Save this article

Performance Analysis of Topologies for Autonomous Hybrid Microgrids in Remote Non-Interconnected Communities in the Amazon Region

Author

Listed:
  • Julio Martinez-Bolaños

    (Energy Group of the Department of Energy and Electrical Automation Engineering of the Polytechnic School, University of Sao Paulo, 05508-900 São Paulo, Brazil)

  • Vinícius Silva

    (Energy Group of the Department of Energy and Electrical Automation Engineering of the Polytechnic School, University of Sao Paulo, 05508-900 São Paulo, Brazil)

  • Mariana Zucchi

    (Energy Group of the Department of Energy and Electrical Automation Engineering of the Polytechnic School, University of Sao Paulo, 05508-900 São Paulo, Brazil)

  • Raphael Heideier

    (Energy Group of the Department of Energy and Electrical Automation Engineering of the Polytechnic School, University of Sao Paulo, 05508-900 São Paulo, Brazil)

  • Stefania Relva

    (Energy Group of the Department of Energy and Electrical Automation Engineering of the Polytechnic School, University of Sao Paulo, 05508-900 São Paulo, Brazil)

  • Marco Saidel

    (Energy Group of the Department of Energy and Electrical Automation Engineering of the Polytechnic School, University of Sao Paulo, 05508-900 São Paulo, Brazil)

  • Eliane Fadigas

    (Energy Group of the Department of Energy and Electrical Automation Engineering of the Polytechnic School, University of Sao Paulo, 05508-900 São Paulo, Brazil)

Abstract

This work presents a detailed comparative analysis of dispersed versus centralized Alternating Current (AC)-coupling topologies and AC-coupling versus Direct Current (DC)-coupling topologies in autonomous Photovoltaic (PV)-diesel-battery microgrids for remote/isolated communities in the Brazilian Amazon region. The comparison concerned the power losses occurring in power conversion devices and in a low-voltage distribution network by using the balance-of-system (BOS) efficiency as a performance index. The analyses were performed by an analytical approach and by detailed computer simulations in MATLAB/Simulink software. Based on the matching factor (MF), the gain obtained in BOS efficiency is 1.5% for low values of the MF, and for high values of the MF, the centralized topology has the same BOS efficiency as the dispersed topology. In conclusion, this factor proved to be useful as a design parameter for selecting the optimal topology of a PV-diesel-battery microgrid.

Suggested Citation

  • Julio Martinez-Bolaños & Vinícius Silva & Mariana Zucchi & Raphael Heideier & Stefania Relva & Marco Saidel & Eliane Fadigas, 2020. "Performance Analysis of Topologies for Autonomous Hybrid Microgrids in Remote Non-Interconnected Communities in the Amazon Region," Sustainability, MDPI, vol. 13(1), pages 1-15, December.
  • Handle: RePEc:gam:jsusta:v:13:y:2020:i:1:p:44-:d:466767
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/1/44/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/1/44/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cuesta, M.A. & Castillo-Calzadilla, T. & Borges, C.E., 2020. "A critical analysis on hybrid renewable energy modeling tools: An emerging opportunity to include social indicators to optimise systems in small communities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 122(C).
    2. Macedo, Wilson N. & Monteiro, Luís G. & Corgozinho, Ivan M. & Macêdo, Emanuel N. & Rendeiro, Gonçalo & Braga, Wilson & Bacha, Lucas, 2016. "Biomass based microturbine system for electricity generation for isolated communities in amazon region," Renewable Energy, Elsevier, vol. 91(C), pages 323-333.
    3. Cross, Sam & Padfield, David & Ant-Wuorinen, Risto & King, Phillip & Syri, Sanna, 2017. "Benchmarking island power systems: Results, challenges, and solutions for long term sustainability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1269-1291.
    4. Andrade, Celia Salama & Rosa, Luiz Pinguelli & da Silva, Neilton Fidelis, 2011. "Generation of electric energy in isolated rural communities in the Amazon Region a proposal for the autonomy and sustainability of the local populations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 493-503, January.
    5. Sánchez, A.S. & Torres, E.A. & Kalid, R.A., 2015. "Renewable energy generation for the rural electrification of isolated communities in the Amazon Region," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 278-290.
    6. John Hills, 2012. "Final report of the Hills Independent Fuel Poverty Review: Getting the Measure of Fuel Poverty," CASE Reports casereport72, Centre for Analysis of Social Exclusion, LSE.
    7. de Christo, Tiago Malavazi & Perron, Sylvain & Fardin, Jussara Farias & Simonetti, Domingos Sávio Lyrio & de Alvarez, Cristina Engel, 2019. "Demand-side energy management by cooperative combination of plans: A multi-objective method applicable to isolated communities," Applied Energy, Elsevier, vol. 240(C), pages 453-472.
    8. Justo, Jackson John & Mwasilu, Francis & Lee, Ju & Jung, Jin-Woo, 2013. "AC-microgrids versus DC-microgrids with distributed energy resources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 387-405.
    9. Mi, Yang & Chen, Xin & Ji, Hongpeng & Ji, Liang & Fu, Yang & Wang, Chengshan & Wang, Jianhui, 2019. "The coordinated control strategy for isolated DC microgrid based on adaptive storage adjustment without communication," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    10. Unknown, 2016. "Energy for Sustainable Development," Conference Proceedings 253270, Guru Arjan Dev Institute of Development Studies (IDSAsr).
    11. Chauhan, Anurag & Saini, R.P., 2016. "Techno-economic feasibility study on Integrated Renewable Energy System for an isolated community of India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 388-405.
    12. Figueirêdo Neto, Genebaldo Sampaio & Rossi, Luiz Antonio, 2019. "Photovoltaic energy in the enhancement of indigenous education in the Brazilian Amazon," Energy Policy, Elsevier, vol. 132(C), pages 216-222.
    13. Shahsavari, Amir & Akbari, Morteza, 2018. "Potential of solar energy in developing countries for reducing energy-related emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 275-291.
    14. Yao, Lixia & Shi, Xunpeng & Andrews-Speed, Philip, 2018. "Conceptualization of energy security in resource-poor economies: The role of the nature of economy," Energy Policy, Elsevier, vol. 114(C), pages 394-402.
    15. Ahadi, Amir & Kang, Sang-Kyun & Lee, Jang-Ho, 2016. "A novel approach for optimal combinations of wind, PV, and energy storage system in diesel-free isolated communities," Applied Energy, Elsevier, vol. 170(C), pages 101-115.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Fengjuan & Xu, Jiuping & Liu, Liying & Yin, Guangming & Wang, Jianhua & Yan, Jinyue, 2021. "Optimal design and operation of hybrid renewable energy system for drinking water treatment," Energy, Elsevier, vol. 219(C).
    2. Rajvikram Madurai Elavarasan & G. M. Shafiullah & Nallapaneni Manoj Kumar & Sanjeevikumar Padmanaban, 2019. "A State-of-the-Art Review on the Drive of Renewables in Gujarat, State of India: Present Situation, Barriers and Future Initiatives," Energies, MDPI, vol. 13(1), pages 1-30, December.
    3. Laldjebaev, Murodbek & Hussain, Azmat, 2021. "Significance of context, metrics and datasets in assessment of multidimensional energy poverty: A case study of Tajikistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    4. Limei Liu & Xinyun Chen & Yi Yang & Junfeng Yang & Jie Chen, 2023. "Prioritization of Off-Grid Hybrid Renewable Energy Systems for Residential Communities in China Considering Public Participation with Basic Uncertain Linguistic Information," Sustainability, MDPI, vol. 15(11), pages 1-30, May.
    5. Wang, Shangrui & Cao, Anran & Wang, Guohua & Xiao, Yiming, 2022. "The Impact of energy poverty on the digital divide: The mediating effect of depression and Internet perception," Technology in Society, Elsevier, vol. 68(C).
    6. William López-Castrillón & Héctor H. Sepúlveda & Cristian Mattar, 2021. "Off-Grid Hybrid Electrical Generation Systems in Remote Communities: Trends and Characteristics in Sustainability Solutions," Sustainability, MDPI, vol. 13(11), pages 1-29, May.
    7. Uche M. Ozughalu & Fidelis O. Ogwumike, 2019. "Extreme Energy Poverty Incidence and Determinants in Nigeria: A Multidimensional Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(3), pages 997-1014, April.
    8. Miriam Berretta & Joshua Furgeson & Yue (Nicole) Wu & Collins Zamawe & Ian Hamilton & John Eyers, 2021. "Residential energy efficiency interventions: A meta‐analysis of effectiveness studies," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(4), December.
    9. Henry, Candise L. & Baker, Justin S. & Shaw, Brooke K. & Kondash, Andrew J. & Leiva, Benjamín & Castellanos, Edwin & Wade, Christopher M. & Lord, Benjamin & Van Houtven, George & Redmon, Jennifer Hopo, 2021. "How will renewable energy development goals affect energy poverty in Guatemala?," Energy Economics, Elsevier, vol. 104(C).
    10. Zhang, Dayong & Li, Jiajia & Han, Phoumin, 2019. "A multidimensional measure of energy poverty in China and its impacts on health: An empirical study based on the China family panel studies," Energy Policy, Elsevier, vol. 131(C), pages 72-81.
    11. Apergis, Nicholas & Polemis, Michael & Soursou, Simeoni-Eleni, 2022. "Energy poverty and education: Fresh evidence from a panel of developing countries," Energy Economics, Elsevier, vol. 106(C).
    12. Jayasinghe, Maneka & Selvanathan, E.A. & Selvanathan, Saroja, 2021. "Energy poverty in Sri Lanka," Energy Economics, Elsevier, vol. 101(C).
    13. Caiado Couto, Lilia & Campos, Luiza C. & da Fonseca-Zang, Warde & Zang, Joachim & Bleischwitz, Raimund, 2021. "Water, waste, energy and food nexus in Brazil: Identifying a resource interlinkage research agenda through a systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    14. dos Santos Neto, Pedro J. & Barros, Tárcio A.S. & Silveira, Joao P.C. & Ruppert Filho, Ernesto & Vasquez, Juan C. & Guerrero, Josep M., 2020. "Power management techniques for grid-connected DC microgrids: A comparative evaluation," Applied Energy, Elsevier, vol. 269(C).
    15. Mohd Chachuli, Fairuz Suzana & Mat, Sohif & Ludin, Norasikin Ahmad & Sopian, Kamaruzzaman, 2021. "Performance evaluation of renewable energy R&D activities in Malaysia," Renewable Energy, Elsevier, vol. 163(C), pages 544-560.
    16. Hassan, Rakibul & Das, Barun K. & Hasan, Mahmudul, 2022. "Integrated off-grid hybrid renewable energy system optimization based on economic, environmental, and social indicators for sustainable development," Energy, Elsevier, vol. 250(C).
    17. Feeny, Simon & Trinh, Trong-Anh & Zhu, Anna, 2021. "Temperature shocks and energy poverty: Findings from Vietnam," Energy Economics, Elsevier, vol. 99(C).
    18. Barbosa, Juliana & Dias, Luís P. & Simoes, Sofia G. & Seixas, Júlia, 2020. "When is the sun going to shine for the Brazilian energy sector? A story of how modelling affects solar electricity," Renewable Energy, Elsevier, vol. 162(C), pages 1684-1702.
    19. Chabok, Hossein & Roustaei, Mahmoud & Sheikh, Morteza & Kavousi-Fard, Abdollah, 2020. "On the assessment of the impact of a price-maker energy storage unit on the operation of power system: The ISO point of view," Energy, Elsevier, vol. 190(C).
    20. Villalobos, Carlos & Chávez, Carlos & Uribe, Adolfo, 2021. "Energy poverty measures and the identification of the energy poor: A comparison between the utilitarian and capability-based approaches in Chile," Energy Policy, Elsevier, vol. 152(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2020:i:1:p:44-:d:466767. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.