Proposed method for contracting of wind-photovoltaic projects connected to the Brazilian electric system using multiobjective programming
Luiz Célio Souza Rocha,
Edson de Oliveira Pamplona,
Anderson Rodrigo de Queiroz,
Paulo Rotela Junior,
Pedro Paulo Balestrassi and
Marcelo Nunes Fonseca
Renewable and Sustainable Energy Reviews, 2018, vol. 97, issue C, 377-389
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)
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:rensus:v:97:y:2018:i:c:p:377-389
Ordering information: This journal article can be ordered from
http://www.elsevier. ... 600126/bibliographic
Access Statistics for this article
Renewable and Sustainable Energy Reviews is currently edited by L. Kazmerski
More articles in Renewable and Sustainable Energy Reviews from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().