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Proposed method for contracting of wind-photovoltaic projects connected to the Brazilian electric system using multiobjective programming

Author

Listed:
  • Aquila, Giancarlo
  • Souza Rocha, Luiz Célio
  • de Oliveira Pamplona, Edson
  • de Queiroz, Anderson Rodrigo
  • Rotela Junior, Paulo
  • Balestrassi, Pedro Paulo
  • Fonseca, Marcelo Nunes

Abstract

Owing to the wind and photovoltaic (PV) potential in Brazil, the country has recently seen increased exploration into the construction of wind-PV hybrid plants. However, as specific criteria for contracting this type of project have not yet been developed, this paper presents a model to assist the government in contracting projects that maximize the socioeconomic well-being of the Brazilian electricity sector. For this, multiobjective programming is used to simultaneously handle two objective functions—maximally reducing emission density and minimizing the levelized cost of electricity (LCOE)—with the aid of the mixture arrangement technique. In this respect, the optimization method called normal boundary intersection (NBI) is applied to solve the multiobjective problem and construct the Pareto frontier. Additionally, a metric based on the ratio between entropy and the global percentage error (GPE) is used to identify the optimal Pareto solution. The model was applied to determine optimal configurations for wind-PV powerplants in twelve Brazilian cities, and the results obtained reveal the capacity of the model to indicate the optimum configuration according to the wind and PV potential of each city.

Suggested Citation

  • Aquila, Giancarlo & Souza Rocha, Luiz Célio & de Oliveira Pamplona, Edson & de Queiroz, Anderson Rodrigo & Rotela Junior, Paulo & Balestrassi, Pedro Paulo & Fonseca, Marcelo Nunes, 2018. "Proposed method for contracting of wind-photovoltaic projects connected to the Brazilian electric system using multiobjective programming," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 377-389.
    • Handle: RePEc:eee:rensus:v:97:y:2018:i:c:p:377-389
    DOI: 10.1016/j.rser.2018.08.054
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    Cited by:

    1. Aquila, Giancarlo & Coelho, Eden de Oliveira Pinto & Bonatto, Benedito Donizeti & Pamplona, Edson de Oliveira & Nakamura, Wilson Toshiro, 2021. "Perspective of uncertainty and risk from the CVaR-LCOE approach: An analysis of the case of PV microgeneration in Minas Gerais, Brazil," Energy, Elsevier, vol. 226(C).
    2. Paulo Rotella Junior & Luiz Célio Souza Rocha & Sandra Naomi Morioka & Ivan Bolis & Gianfranco Chicco & Andrea Mazza & Karel Janda, 2021. "Economic Analysis of the Investments in Battery Energy Storage Systems: Review and Current Perspectives," Energies, MDPI, vol. 14(9), pages 1-29, April.
    3. Brown, Patrick R. & Williams, Travis & Brown, Maxwell L. & Murphy, Caitlin, 2024. "System-cost-minimizing deployment of PV-wind hybrids in low-carbon U.S. power systems," Applied Energy, Elsevier, vol. 365(C).
    4. Aquila, Giancarlo & Nakamura, Wilson Toshiro & Junior, Paulo Rotella & Souza Rocha, Luiz Celio & de Oliveira Pamplona, Edson, 2021. "Perspectives under uncertainties and risk in wind farms investments based on Omega-LCOE approach: An analysis in São Paulo state, Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    5. de Doile, Gabriel Nasser Doyle & Rotella Junior, Paulo & Rocha, Luiz Célio Souza & Janda, Karel & Aquila, Giancarlo & Peruchi, Rogério Santana & Balestrassi, Pedro Paulo, 2022. "Feasibility of hybrid wind and photovoltaic distributed generation and battery energy storage systems under techno-economic regulation," Renewable Energy, Elsevier, vol. 195(C), pages 1310-1323.
    6. Aquila, Giancarlo & Souza Rocha, Luiz Célio & Rotela Junior, Paulo & Saab Junior, Joseph Youssif & de Sá Brasil Lima, João & Balestrassi, Pedro Paulo, 2020. "Economic planning of wind farms from a NBI-RSM-DEA multiobjective programming," Renewable Energy, Elsevier, vol. 158(C), pages 628-641.
    7. de Oliveira, Lucas Guedes & Aquila, Giancarlo & Balestrassi, Pedro Paulo & de Paiva, Anderson Paulo & de Queiroz, Anderson Rodrigo & de Oliveira Pamplona, Edson & Camatta, Ulisses Pessin, 2020. "Evaluating economic feasibility and maximization of social welfare of photovoltaic projects developed for the Brazilian northeastern coast: An attribute agreement analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 123(C).
    8. Gabriel Nasser Doyle de Doile & Paulo Rotella Junior & Priscila França Gonzaga Carneiro & Rogério Santana Peruchi & Luiz Célio Souza Rocha & Karel Janda & Giancarlo Aquila, 2021. "Economic Feasibility of Photovoltaic Micro-Installations Connected to the Brazilian Distribution Grid in Light of Proposed Changes to Regulations," Energies, MDPI, vol. 14(6), pages 1-14, March.

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