Swiss smart meter maker Landis+Gyr has teamed up with US power software startup Utilidata on a new generation of grid management. This will deploy edge applications on Landis+Gyr smart meters to provide real time data and analysis using machine learning and artificial intelligence (AI).
The move is planned initially for the North American market. The embedded software will enable energy utilities to gather, analyse and synthesize data from a multitude of grid endpoints in smart meters in real time using machine learning.
Landis+Gyr’s AMI smart meter system is built on Gridstream Connect, an IoT platform designed specifically for utilities, which enables edge applications to use the sensing and analysis capabilities of advanced meters. This platform is strengthened by the energy optimization software of Utilidata’s applications that will use real-time data and machine learning for grid visualization using waveform analysis to provide unprecedented, real-time visibility into the distribution system, including power flow and locational awareness.
A key element is the dynamic monitoring of distribution circuits using peer-to-peer communication and edge processing to create a critical framework for both voltage optimization (VVO) and seamless integration of distributed energy resources. The real-time fault detection combines edge-based waveform and system distribution analytics to identify and prioritize anomalies for improved grid reliability and faster response to safety issues.
Utilidata’s applications join additional technologies that are optimized by the Landis+Gyr metering platform, including energy management powered by Sense, a partner of both Landis+Gyr and Utilidata. Combining these technologies will highlight both consumer behaviour and grid operations using the grid-edge hardware.
“Smart grid technologies are changing how utilities manage the distribution system. Utilities traditionally monitor distribution circuits from the substation to the grid edge but are missing critical visibility required for optimizing system performance,” said Tim Weidenbach, Senior Vice President of Sales and Customer Operations at Landis+Gyr.
“These new edge applications leverage the distributed computing and sensing capabilities of our meters to monitor assets and grid activity at the edge. We see this as a continual evolution in how grid-edge intelligence drives the future of energy management and delivery,” said Weidenbach
“It is entirely possible to modernize and optimize the electric grid from the edge,” said Josh Brumberger, CEO of Utilidata. “The key is to match intelligent hardware with software for real-time, distributed data analysis, predictive modeling, and substation-to-meter optimization. With this as a foundation, realizing an energy future with greater renewable energy resources, better demand management, and real-time response is within our sights.”
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