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Simulation of Distributed Generation with Photovoltaic Microgrids—Case Study in Brazil

Author

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  • Gustavo Azevedo Xavier

    (These authors contributed equally to this work.
    Department of Agricultural Engineering, Universidade Federal de Vicosa, Av. P.H. Rolfs s/n, 36570-000 Vicosa, MG, Brazil
    These authors contributed equally to this work.)

  • Delly Oliveira Filho

    (These authors contributed equally to this work.
    Department of Agricultural Engineering, Universidade Federal de Vicosa, Av. P.H. Rolfs s/n, 36570-000 Vicosa, MG, Brazil
    These authors contributed equally to this work.)

  • José Helvecio Martins

    (These authors contributed equally to this work.
    Department of Agricultural Engineering, Universidade Federal de Vicosa, Av. P.H. Rolfs s/n, 36570-000 Vicosa, MG, Brazil
    These authors contributed equally to this work.)

  • Paulo Marcos de Barros Monteiro

    (These authors contributed equally to this work.
    Department of Control and Automation, Universidade Federal de Ouro Preto, Escola de Minas, Campus Morro do Cruzeiro, 35400-000 Ouro Preto, MG, Brazil
    These authors contributed equally to this work.)

  • Antônia Sônia Alves Cardozo Diniz

    (These authors contributed equally to this work.
    Department of Mechanical Engineering, Pontificia Universidade Catolica de Minas Gerais, Av. Dom Jose Gaspar, 500, Coração Eucarístico, 30535-901 Belo Horizonte, MG, Brazil
    These authors contributed equally to this work.)

Abstract

Elevated prices and lack of proper legislation and government incentives have been the main barriers in the development of the photovoltaic market in Brazil. In an attempt to overcome those barriers, a microgrid model was proposed and simulated. In the proposed microgrids, residential consumers are connected to each other to maximize the investment return by trading the surplus of generated energy among them. Different topologies and scenarios were studied from electrical energy and economic standpoints. Stochastic data of solar radiation were simulated for the city of Viçosa, Minas Gerais, Brazil, for the period of one year, considering the statistical behavior of a series over 20 years. The system output power and energy balance were calculated considering a model for photovoltaic generators and the radiation simulated data. By determining the generated energy and electrical needs of the microgrid members, the cash flow and economic feasibility were calculated. Sensitivity analyses were performed by varying economic parameters to determine situations where investment becomes feasible. This paper shows that microgrid contributes to improve the economics and the initial investments. The number of participants in a microgrid, the electricity and the equipment costs are important parameters to speed up the economic and technical feasibility process.

Suggested Citation

  • Gustavo Azevedo Xavier & Delly Oliveira Filho & José Helvecio Martins & Paulo Marcos de Barros Monteiro & Antônia Sônia Alves Cardozo Diniz, 2015. "Simulation of Distributed Generation with Photovoltaic Microgrids—Case Study in Brazil," Energies, MDPI, vol. 8(5), pages 1-21, May.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:5:p:4003-4023:d:49257
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    References listed on IDEAS

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    1. Toledo, Olga Moraes & Oliveira Filho, Delly & Diniz, Antônia Sônia Alves Cardoso, 2010. "Distributed photovoltaic generation and energy storage systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 506-511, January.
    2. Pao, Hsiao-Tien & Fu, Hsin-Chia, 2013. "Renewable energy, non-renewable energy and economic growth in Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 381-392.
    3. Ren, Hongbo & Gao, Weijun & Ruan, Yingjun, 2009. "Economic optimization and sensitivity analysis of photovoltaic system in residential buildings," Renewable Energy, Elsevier, vol. 34(3), pages 883-889.
    4. Diniz, Antonia Sônia A.C. & Neto, Lauro V.B. Machado & Camara, Carlos F. & Morais, Paulo & Cabral, Claudia V.T. & Filho, Delly Oliveira & Ravinetti, Regina F. & França, Edson D. & Cassini, Denio A. & , 2011. "Review of the photovoltaic energy program in the state of Minas Gerais, Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2696-2706, August.
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    Citations

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    Cited by:

    1. Federica Cucchiella & Idiano D’Adamo & Paolo Rosa, 2015. "Industrial Photovoltaic Systems: An Economic Analysis in Non-Subsidized Electricity Markets," Energies, MDPI, vol. 8(11), pages 1-16, November.
    2. Manuela Sechilariu & Fabrice Locment & Baochao Wang, 2015. "Photovoltaic Electricity for Sustainable Building. Efficiency and Energy Cost Reduction for Isolated DC Microgrid," Energies, MDPI, vol. 8(8), pages 1-23, July.
    3. Yujing Sun & Fei Wang & Bo Wang & Qifang Chen & N.A. Engerer & Zengqiang Mi, 2016. "Correlation Feature Selection and Mutual Information Theory Based Quantitative Research on Meteorological Impact Factors of Module Temperature for Solar Photovoltaic Systems," Energies, MDPI, vol. 10(1), pages 1-20, December.
    4. Bingke Yan & Bo Wang & Lin Zhu & Hesen Liu & Yilu Liu & Xingpei Ji & Dichen Liu, 2015. "A Novel, Stable, and Economic Power Sharing Scheme for an Autonomous Microgrid in the Energy Internet," Energies, MDPI, vol. 8(11), pages 1-24, November.
    5. Botelho, D.F. & de Oliveira, L.W. & Dias, B.H. & Soares, T.A. & Moraes, C.A., 2022. "Prosumer integration into the Brazilian energy sector: An overview of innovative business models and regulatory challenges," Energy Policy, Elsevier, vol. 161(C).
    6. Ashraf Ramadan & Mohamed Ebeed & Salah Kamel & Almoataz Y. Abdelaziz & Hassan Haes Alhelou, 2021. "Scenario-Based Stochastic Framework for Optimal Planning of Distribution Systems Including Renewable-Based DG Units," Sustainability, MDPI, vol. 13(6), pages 1-23, March.
    7. Rômulo de Oliveira Azevêdo & Paulo Rotela Junior & Luiz Célio Souza Rocha & Gianfranco Chicco & Giancarlo Aquila & Rogério Santana Peruchi, 2020. "Identification and Analysis of Impact Factors on the Economic Feasibility of Photovoltaic Energy Investments," Sustainability, MDPI, vol. 12(17), pages 1-40, September.
    8. de Oliveira, Glauber Cardoso & Bertone, Edoardo & Stewart, Rodney A., 2022. "Challenges, opportunities, and strategies for undertaking integrated precinct-scale energy–water system planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    9. Tiago Pinto & Zita Vale & Isabel Praça & E. J. Solteiro Pires & Fernando Lopes, 2015. "Decision Support for Energy Contracts Negotiation with Game Theory and Adaptive Learning," Energies, MDPI, vol. 8(9), pages 1-26, September.

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