Edition #01
- 01/07/2025
The Analytics Report (AR) is a publication by PSR that presents the latest advances in energy analytics, with a focus on models (methodologies and applications), high-performance computing, and research. Each edition provides an in-depth perspective on how PSR continuously innovates in the field of energy analytics, showcasing the development and application of advanced tools and techniques. The report serves as a platform for sharing cutting-edge insights and research that support decision-making and deepen the understanding of the energy sector.
Publications
Explore the exclusive content of this edition.
The 2025 Global User Meeting of PSR provided a unique platform for international dialogue on energy analytics. Through previews of SDDP 18 and PSRCast, the event highlighted how integrated modeling and deep learning address climate uncertainty, energy transitions, and power system resilience, reinforcing a collaborative culture across the global energy sector.
The increasing share of VRE (Variable Renewable Energy) in Brazil has led to a significant rise in curtailment due to mismatches between supply and demand, as well as transmission bottlenecks. By leveraging SDDP and TSL, PSR provides a stochastic framework with hourly resolution to forecast these impacts. This modeling approach is essential for assessing project profitability and guiding the network expansion required for a resilient energy transition.
Central Asia is undergoing a structural transformation driven by the mega-projects Rogun and Kambarata-1. With total investments exceeding USD 10 billion, these hydropower plants are modeled using OPTGEN-SDDP to ensure economic feasibility and regional stability. The analysis demonstrates how Tajikistan and Kyrgyzstan can leverage their hydropower assets to lead clean energy exports while balancing complex water–energy interactions.
Colombia is redefining power system expansion by integrating Grid-Enhancing Technologies (GETs) to overcome traditional bottlenecks. Through the implementation of SSSC-type FACTS devices, the system can now redirect power flows in real time, effectively deferring the construction of new, more costly transmission lines. This strategic shift has already demonstrated a 10% reduction in total costs, while significantly increasing grid flexibility to integrate renewable energy sources.
The SINAIS framework, developed in partnership with ONS (National Electric System Operator), introduces a multidimensional approach to assessing grid health. Using a set of five models, it quantifies energy reliability, ramping flexibility, and resilience during peak demand periods. By capturing tail risks through Conditional Value at Risk (CVaR) and simulating real-time reserve adjustments, SINAIS provides a data-driven roadmap for the energy transition.
PSR bridges complex theory and global energy markets through award-winning leadership and a strong research output. With CEO Luiz Barroso receiving the IEEE Leadership Award and maintaining a strong presence in forums such as FERC and the Conference on Stochastic Programming, the team is advancing AI-driven optimization and open-source modeling to address real-world challenges in power systems.
Check out other editions
- 16/03/2026
Energy systems are evolving rapidly, and so are the analytical frameworks required to understand them. This edition of the Analytics Report brings together studies and methodological discussions on some of the key issues currently shaping the sector: uncertainty representation, storage valuation, transmission flexibility, hydrological constraints, and the growing role of advanced computational approaches in planning and decision-making. Taken together, these contributions demonstrate how analytical innovation is becoming essential to address increasingly complex energy challenges. We invite you to continue reading and explore the analytical perspectives presented throughout this edition.
