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

Giancarlo Aquila, Luiz Célio Souza Rocha, Edson de Oliveira Pamplona, Anderson Rodrigo de Queiroz, Paulo Rotela Junior, Pedro Paulo Balestrassi and Marcelo Nunes Fonseca
Authors registered in the RePEc Author Service: Paulo Rotella Junior

Renewable and Sustainable Energy Reviews, 2018, vol. 97, issue C, 377-389

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.

Keywords: Renewable energy sources; Multiobjective programming; Normal boundary intersection; Brazilian electricity system; Wind-PV farms (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:rensus:v:97:y:2018:i:c:p:377-389

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DOI: 10.1016/j.rser.2018.08.054

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