Pepco to set up Landis+Gyr grid analytics solution

Pepco has entered into an agreement to organize a comprehensive grid analytics solution from Landis+Gyr in all its service territories, reports PennEnergy.

The analytics platform includes a series of applications developed for promoting asset life, reliability and distribution system optimization.

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Pepco, Delmarva Power and Atlantic City Electric, operating under PHI will arrange six different analytics applications for visulization, planning and real-time operational analytics support.

The project aims to provide improved analysis, prediction, optimization and decision making capabilities, addressing management of network assets, load balancing, volt/VAR optimization, outage management, restoration and improved fault isolation.

Grid analytics represent the next step for this utility that already has access to data across the distribution system and is planning for ways to get the most value for customers, said, William Gausman, senior vice president, Strategic Initiatives, PHI.

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The employees will be able to analyze data and visualize planning processes like never before, while monitoring and enhancing the distribution service, added Gausman.

The deployment was announced earlier this year of the GRIDplan Reliability module. It is part of the analytics series developed by GRIDiant, acquired in June by Landis+Gyr.

This project represents the first major deployment of an enterprise-wide, physics-based grid analytics platform by a utility in North America, said, Prasanna Venkatesan, executive vice president, Landis+Gyr Americas.

For PHI, this analytics demonstrates an advanced step in achieving ongoing benefits from smart grid investments already made, with the potential to solve many of the challenges associated with new uses of energy and distributed generation resources, adds Venkatesan.

Landis+Gyr’s advanced grid analytics suite is initiated by the different practice of the distribution network model, with 12 years of development and sophisticated physics based procedures, integrated with utility data helping to visualize and optimize management of the grid.

Sabeena Wahid
[email protected]