Summary

Monitoring and operating the BIPS, a continental-sized power grid, is becoming increasingly complex. Rapid changes in the energy matrix, driven by heavy investments in inverter-based renewable generation, together with the deployment of high-capacity, long-distance HVDC transmission lines to efficiently connect generation sites and load centers, are creating significant operational challenges. New dynamic phenomena are being observed in the BIPS, including power oscillations, unwanted multi-infeed control issues, and unexpected equipment behavior caused by model discrepancies. Improved situational awareness is therefore required to provide practical means to observe such dynamics and to ensure the secure operation of the

Brazilian power grid.

This paper presents the findings of a 2023–2024 project aimed at determining the optimal allocation of PMUs in the BIPS to ensure that the entire system can be observed and operated using synchronized, high-sampling-rate PMU measurements. The primary objective is to provide full-system observability and redundancy via synchrophasor measurements to support secure real-time operation. Furthermore, an extensive analysis was performed to identify complementary deployment criteria, including monitoring of critical interfaces, enhanced assessment of transfer limits, and support for dynamic analyses under stressed operational conditions. An economic evaluation was also conducted, encompassing implementation costs, anticipated economic benefits derived from improved system awareness, and a strategically optimized PMU deployment roadmap.

Additional informations

Publication type Session Materials
Reference C2_11325_2026
Publication year
Publisher CIGRE
Country Brazil
Study committees
File size 760 KB
Price for non member 30 €
Price for member 30 €

Authors

MOUCO Arthur - ONS Brazil; VOLSKIS Hector - ONS Brazil; MELO Vítor - USP University Brazil; LONDON João - USP University Brazil

Keywords

Synchrophasor, PMU, WAMS, Brazilian Power Grid

Optimal PMU Allocation for a WAMS-Based EMS in the Brazilian Power Grid