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Integrated synchrophasor analytics for wide area grid monitoring
Siemens and Electric Power Group are collaborating to integrate dynamic monitoring architectures into digital infrastructure to improve power utility grid stability.
www.siemens.com

Siemens and Electric Power Group (EPG) have established a technical alliance to integrate wide area monitoring systems (WAMS) and synchrophasor analytics into global grid automation portfolios. The joint technical solution targets transmission and distribution system operators, addressing the requirement for high-resolution grid visibility in power infrastructure managing variable renewable energy loads.
Target Industries and Operational Benefits
The integrated grid automation solution is designed for energy companies and operators of critical electrical infrastructure. Concrete technical use cases include real-time fault detection, dynamic load tracking, and continuous voltage stability analysis. By supplementing traditional Supervisory Control and Data Acquisition (SCADA) systems with high-speed data acquisition, utilities achieve increased process stability, faster response times to electrical anomalies, and an overall reduction in system downtime during extreme demand fluctuations.
Grid Complexity and Integration Requirements
The transition to renewable energy sources introduces variable generation patterns and dynamic electrical loads, challenging the measurement limits of conventional SCADA networks that poll data at lower frequencies. The partnership between Siemens and EPG addresses this technical limitation by merging EPG’s specialized diagnostic analytics with Siemens’ established grid automation hardware. This cooperation was necessary because capturing, transmitting, and analyzing high-frequency, time-synchronized data sets across extensive geographic areas requires deep integration between sensor software and underlying control infrastructure to avoid data latency.
Synchrophasor Architecture and Responsibilities
The combined platform utilizes EPG’s synchrophasor technology, which extracts highly precise, GPS-synchronized measurements of current and voltage waveforms. These units record phase angles and magnitudes multiple times per second. EPG supplies the WAMS architecture that aggregates and processes these dense data streams to generate a deterministic model of grid behavior. Siemens assumes the role of integrating this analytics engine into its existing power automation portfolio, providing the physical hardware, localized digital infrastructure, and engineering frameworks required to execute predictive control commands based on EPG's data.
Scalable Deployment and Infrastructure Integration
The technical framework between the two companies supports a standardized deployment model for WAMS architecture across regional and national power grids. The system utilizes an open and interoperable design, which allows for seamless integration into existing utility environments. Siemens manages the engineering and integration phases, enabling grid operators to incorporate these high-speed analytics into their current operational control centers without requiring total replacement of legacy transmission hardware.
Expected Technical Impact and Strategic Perspectives
The integration of WAMS and synchrophasor technology provides measurable mechanisms for grid reliability, allowing operators to isolate instabilities before they cascade into wider system failures.
Bernd Meyer, Vice President of Research & Development at Siemens Smart Infrastructure, stated, "Precise, synchronized data acquisition via EPG – integrated into our automation solutions – enables enhanced transparency and improved predictive control."
Regarding the implementation capabilities, Vikram Budhraja, CEO of EPG, noted, "The partnership's long-term framework agreement enables a standardized and scalable deployment model for projects across the globe. The open and interoperable design of the WAMS architecture ensures seamless integration into existing grid infrastructure, providing a scalable solution for both regional and national grids."
Edited by Aishwarya Mambet, Induportals Editor, with AI assistance.
www.siemens.com

