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Data-driven grid management | Implementing a digital twin solution for a leading European electricity and gas grid operator
Distribution System Operators (DSOs) ensure a stable power supply to millions of consumers. They manage complex low-voltage electrical grids, facing increasing challenges due to a growing demand for efficiency and reliability. This success story explores how Symbiot Twinner can help DSOs to overcome these challenges and seize new opportunities.
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Challenges
In a heavily regulated environment, DSOs manage significant data volumes and complex grid planning tasks.
The increasing integration of distributed energy resources (DERs)—such as solar panels and small-scale wind turbines—alongside the growing prevalence of electric vehicles and heat pumps introduces new dynamics and challenges. These developments lead to increased loads and potential instabilities, exacerbating the strain on infrastructure, notably on cables and transformers, and leading to overvoltage issues in low-voltage (LV) grids. Moreover, these challenges occur within a broader context of aging infrastructure, heightened cybersecurity threats, evolving customer service demands, and rapid technological changes.
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Iskraemeco solution and implementation benefits
To tackle grid management complexities, Iskraemeco has introduced the Symbiot Twinner, powered by DataThings’ GreyCat technology. This digital twin solution harnesses smart meter data alongside advanced temporal-graph data architectures to create real-time grid replicas. This innovation supports continuous machine learning and enhances scalability and decision-making across grid management departments.
Symbiot Twinner stands out with its robust data architecture that excellently manages data aggregation, visualization, analysis, and machine learning. By integrating graph and time-series database engines, it adeptly handles millions of grid elements and billions of data points. It transforms raw data into actionable insights considering contextual information like weather, calendar events, and various forecasts. Utilities equipped with Symbiot Twinner benefit from its comprehensive predictive simulation and analytics capabilities. It identifies true grid congestions, facilitating targeted investments and strategic optimizations. The solution profiles each grid asset to ensure data consistency and enhances investment justification, reduces non-technical losses, and optimizes network capacity.
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Results
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Transforming grid optimization with digitalization and AI innovation
Symbiot Twinner is a cutting-edge solution that serves as a digital twin of the physical electricity grid. This real-time digital twin empowers grid operators with enhanced monitoring and control capabilities, revolutionizing the way we manage and optimize the grids.