Contracting wind-photovoltaic projects in power systems, a method to support decision-making in long-term energy auctions
Published:
Happy to see this work focused in contracting wind-photovoltaic projects in power systems been published at Renewable & Sustainable Energy Reviews. This is a joint piece with Giancarlo Aquila (1st author, congrats Gian!), Edson Pamplona, LCS Rocha, PP Balestrassi, P Rotela and Marcelo Nunes Fonseca. Brazil has recently seen a significant raise in the development of wind-solar PV hybrid plants. This work presents a model to assist the government in long-term energy auctions seeking to maximize socioeconomic welfare in the power sector. Multiobjective programming is used to simultaneously handle two conflictive objective functions (maximize reduced emission density and minimize the levelized cost of electricity). The approach uses mixture design of experiments and the normal boundary intersection method to perform the optimization and construct Pareto frontiers for the evaluated projects. Additionally, a metric based on the ratio between entropy and the global percentage error is used to identify the optimal Pareto solution.