Cognite Data Fusion® for Power System Analysis

The influx of new distributed energy resources, electrification of existing energy use, and build-up of new energy-intensive and green industries like battery manufacturing and hydrogen electrolysis into today’s grid operations is creating tremendous challenges for grid owners and operators attempting to facilitate the accelerated energy transition while managing costs and grid reliability.

Cognite Data Fusion® offers an innovative approach to industrial data management that enables analysts to reduce the time spent on data collection and cleaning, while providing smarter outcomes and a way to better understand how the grid changes over time.

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Complex grid operations demand smarter data management

As a complex system of systems, today’s grid networks carry and maintain vast amounts of data that can be used for smarter decision-making. But due to data silos and missing context, this information remains difficult to access and understand, requiring significant time and human capital to process. This bottleneck slows the adoption of renewable generation and distributed energy resources (DERs) that can be connected to the grid.

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Extend the common information model with operational data

Even though many operators already use the common information model (CIM) to visualize and understand the grid topology, operational data from substations and other grid sensors is not usually contextualized. With Cognite Data Fusion’s grid capabilities, integrate, see, and query both CIM and operational data (SCADA, Asset, work orders) in the same plane to form a live operational digital twin of your grid topology.

Empower analysts and domain experts with intuitive queries

With a robust data model/digital twin and software development kit (SDK), analysts have a single source of truth for current and past grid elements. They can easily query for a historical and live load on all lines crossing out of a given geographical area or for all lines and cables connected to a substation. Additionally, they can run concurrent analyses and share outputs with other members of the analyst team.

Understand and keep track of how the grid changes over time

The contextualized data model/digital twin of the grid can adapt automatically to new inputs and changes such as upgrades, asset swaps, and new infrastructure, making it easier to understand historical changes. This enables analysts to traverse the grid, find historical load flows, and populate third-party simulation tools with trustworthy data.

Power Systems Analysis success starts with your data

Collect, integrate, access data from 11+ different data sources

Data from multiple sources are compiled into a secure, searchable data catalog which can only be accessed by properly authenticated users.

Contextualize and understand the data sets

Identify and connect data objects to CIM using contextualization tools that match identifiers, etc., based on metadata, and visualize data out-of-the-box using Cognite Data Fusion®.

Develop and deploy analytics and dashboards

Analysts can query the data model using the API and SDK or in Cognite Data Fusion®. For additional analytics, they can use notebooks or Python IDEs.

Monitor and govern data quality and changes to the underlying data model

Companies can use infrastructure and tooling available in Cognite Data Fusion® to monitor the individual data and data model, helping identify areas where the source system can be improved.

The company owns the data model in perpetuity, reducing vendor lock-in and other access issues.

Industrial, simple, scalable

Built for complex structured and unstructured data analysis, Cognite Data Fusion® enables analysts and domain experts with simple access to the most up-to-date grid topology and operations data and the ability to easily query for information using domain-specific language.

Compared with existing manual processes closed digital twin solutions not designed for new grid realities, our solution combines intuitive, tailored user experiences with rich DataOps capabilities that together enable data to be used with more speed, granularity, and flexibility at enterprise scale.

Leverage an broad portfolio of out-of-the-box data connectors, contextualization capabilities, and domain-specific data models to simplify data wrangling and analysis without having to resort to significant coding efforts.

Industrial customers like Statnett are already using Cognite Data Fusion® to reduce their grid connection application backlog and enable renewable generation to have a larger impact on society.