Edition #02
- 16/03/2026
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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.
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Resilience, artificial intelligence, and climate uncertainty set the tone for the upcoming User Meeting of PSR in Foz do Iguaçu. Bringing together researchers, planners, and decision-makers, the forum connects state-of-the-art methods with real-world challenges and helps shape the next frontiers in energy analytics at a global level.
Energy storage emerges as a key solution for balancing flexibility and reliability across different system configurations. Applications in Brazil and Colombia demonstrate how advanced optimization tools support both large interconnected systems and isolated regions, reducing operational costs, lowering emissions, and strengthening system resilience over the long term.
The sizing and strategic siting of batteries can unlock significant operational and economic value. A case study in Colombia shows how price-based locational analysis identifies optimal nodes, resulting in the deployment of 900 MW that enhances flexibility, enables energy arbitrage, and supports reserve provision in an evolving market environment.
Understanding which hydrological operational constraints generate the highest system costs is essential for more efficient planning. A methodology developed in partnership with ONS (National Electric System Operator) quantifies their economic impact, supporting the objective prioritization of flexibility measures and guiding more efficient investment decisions.
Accurate representation of renewable energy uncertainty can transform operational decision-making. Evidence from Brazil shows how SDDP-based stochastic modeling for wind and solar generation avoids overly optimistic assumptions, preserves reservoir storage during dry periods, and reduces reliance on more expensive thermal generation.
Transmission flexibility plays a decisive role in enabling efficient resource sharing and the integration of renewable energy sources. A case study on the modernization of New Zealand’s HVDC link, using OptGen and SDDP, demonstrates how expanding interconnection capacity reduces operational costs, improves reliability, and enhances system performance across different future energy transition scenarios.
Preparing for the energy transition requires planning frameworks capable of handling thousands of uncertainty scenarios. The Ninth Power Plan of the Pacific Northwest evaluates more than 13,000 possible futures, supporting robust expansion decisions that balance reliability, affordability, and system security over the long term under evolving energy conditions.
Academic recognition continues to highlight the global impact of PSR’s research contributions. The inclusion of Mario Veiga Pereira among the top 2% most influential scientists worldwide reinforces the relevance of ongoing collaborations, publications, and methodological advances, which continue to shape regulation, planning, and innovation in the power sector.
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- 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.