Are you keeping up with accelerating change and risk?
Regional power grid operators are under pressure to adapt their operations in response to distributed energy resources (DERs) and an increasingly decentralized grid. Improve reliability, resilience, and planning analysis across transmission and distribution networks with a smarter approach to data-driven decision making from Cognite Data Fusion®.
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Operators today have an abundance of static and dynamic operational data but little means to efficiently use it to answer key questions about grid networks and assets, resulting in limited total operational visibility. The process to collect and analyze this data, and then implement new workflows continues to be challenging due the following reasons:
Data analysts often have to access, contextualize, and process data from over 10 different sources in a high-overhead effort to understand the current state of the grid for planning.
Streamline impact analysis of new connection requests by automating data collection and modeling with digital twins based on the common information model. By integrating both operational and topology data into one connected, consolidated view, analysts can track changes over time and better prioritize upgrades, build outs, and other activities.
The grid faces risks from weather, congestion, and aging assets, but it is often difficult to visualize and understand risk from one pane of glass.
Keep track of grid risk with smarter asset management and more virtual or autonomous substation operations. Make better, safer maintenance decisions for substation assets (transformers, cables, gas-insulated switchgears, etc.) by consolidating dynamic health data and site features into scalable asset or site-based digital twins that are automatically contextualized into your network twin.
Intermittent generation can’t always dispatch due to line congestion and capacity, limiting the environmental and cost benefits of renewables.
Increase available transmission capacity by taking advantage of weather and transmission sensor data to forecast dynamic line ratings at scale. Analyze this data more effectively to reduce the risk of line sag-induced outages, reduce renewable curtailment, and defer grid investments with real-time and forecasted conditions, span-by-span.
Cognite Data Fusion® offers a more scalable and sustainable approach to industrial data management that puts data directly into the hands of experts and data scientists. Compared to existing analytics vendors that you may already be contracting with, our software is built to solve the foundational data problem.
Provide easy access to data through pre-established connections to popular solutions and applications, such as Grafana and PowerBI.
Create personalized views of solutions and dashboards organized by areas of focus, such as operations, maintenance, and quality, as well as by functional areas, such as production and engineering.
Offer the ability to iterate and improve KPIs over time through flexible data modeling and adopt a scalable approach to gaining insights.
Customer story
