Risk-Constrained Optimal Dynamic Trading Strategies Under Short- and Long-Term Uncertainties IEEE Transactions on Power Systems, 2023 Recent market changes in power systems with high renewable energy penetration highlighted the need for complex profit maximization and hedging strategies against price volatility and generation uncertainty. This work proposes a dynamic model to represent sequential decision making in…
Competitive Behavior of Hydroelectric Power Plants under Uncertainty in Spot Market Energies, 2022 This article aims to analyze agents’ behavior in a competitive hydrothermal energy market. The idea is to investigate how much the day-to-day behavior of the market can be different from the predictions presented by cost-based models because of the risk perception of…
Floating solar power could help fight climate change — let’s get it right Nature, 2022 Covering 10% of the world’s hydropower reservoirs with ‘floatovoltaics’ would install as much electrical capacity as is currently available for fossil-fuel power plants. But the environmental and social impacts must be assessed. Covering 10% of the world’s hydropower reservoirs with…
Water-Energy-Nexus in the Ecological Transition, Natural-Based Solutions, Advanced Technologies and Best Practices for Environmental Sustainability – How Can We Use the Water Cost Instrument in a Scarcity Scenario for the Power Sector in Brazil? Advances in Science, Technology & Innovation, 2022 Brazil has nearly a fifth of the world’s water reserves; however, water is not…
Exploiting low-rank structure in semidefinite programming by approximate operator splitting OPTIMIZATION, 2022 In contrast to many other convex optimization classes, state-of-the-art semidefinite programming solvers are still unable to efficiently solve large-scale instances. This work aims to reduce this scalability gap by proposing a novel proximal algorithm for solving general semidefinite programming problems. The key characteristic…
MathOptInterface: A Data Structure for Mathematical Optimization Problems INFORMS Journal on Computing, 2022 We introduce MathOptInterface, an abstract data structure for representing mathematical optimization problems based on combining predefined functions and sets. MathOptInterface is significantly more general than existing data structures in the literature, encompassing, for example, a spectrum of problems classes from integer programming…
An Integrated Progressive Hedging and Benders Decomposition With Multiple Master Method to Solve the Brazilian Generation Expansion Problem IEEE Transactions on Power Systems, 2022 This paper exploits the decomposition structure of the large-scale hydrothermal generation expansion planning problem with an integrated modified Benders Decomposition and Progressive Hedging approach. We consider detailed and realistic data from…
An Integer Programming Model for the Selection of Pumped‐Hydro Storage Projects Water Resources Research, 2022 Energy storage systems—in particular, Pumped Hydropower Storage (PHS)—will be increasingly important to support the transition of power systems toward zero emissions. The reason is that PHS can mitigate the variability and uncertainty of renewable energy production from solar and wind…
The p-Lagrangian relaxation for separable nonconvex MIQCQP problems Journal of Global Optimization, 2022 This paper presents a novel technique to compute Lagrangian bounds for nonconvex mixed-integer quadratically constrained quadratic programming problems presenting a separable structure (i.e., a separable problems) such as those arising in deterministic equivalent representations of two-stage stochastic programming problems. In general, the…
Reliability Metrics for Generation Planning and the Role of Regulation in the Energy Transition: Case Studies of Brazil and Mexico Energies, 2021 In recent years electricity sectors worldwide have undergone major transformations, referred to as the “energy transition”. This has required energy planning to quickly adapt to provide useful inputs to the regulation activity so…
