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Creos: Artificial Intelligence Twin for Smart Grid Optimization

30 October 2024

    Category: Other Technology

    Grid Requirement tackled

    • Modern power grids face mounting challenges due to the integration of renewable energy sources, the decarbonization of the transport and heating sector (integration of electric vehicles (EVs) and heat pumps), and the need for efficient energy distribution amid increasing demand. Distribution System Operators (DSOs) are under pressure to optimize grid performance, reduce outage times, manage voltage fluctuations, and ensure a reliable energy supply for consumers. The specific challenge addressed by ALVA is the need for a solution that offers real-time monitoring, predictive maintenance, and optimized planning across all voltage levels in the grid, thus enabling proactive grid management and investment planning.
    • Voltage Level of Use: Low, Medium, and High Voltage, with particular value for Low Voltage network management due to its enhanced need for monitoring and predictive capabilities amidst decentralized energy resources and variable load demands.

    Approach & solution

    • ALVA, an advanced AI-driven digital twin of the electricity grid, is designed to address these challenges by unifying data from diverse sources to create a real-time digital replica of the physical grid. It combines machine learning, predictive analytics, and simulation capabilities, enabling DSOs to monitor, predict, and simulate the grid’s performance at a high readiness level.
    • ALVA’s advanced machine learning algorithms provide individualized load predictions and dynamic grid simulations, enabling DSOs to forecast and manage grid demand, preempt potential failures, and optimize maintenance scheduling. This functionality significantly enhances grid reliability and efficiency, while also minimizing operational costs and reducing environmental impact. Only basic training is required to operate ALVA effectively. The platform aligns seamlessly with existing DSO operations, offering a user-friendly interface that is compatible with any grid data management systems. Although it primarily involves OPEX, ALVA delivers substantial long-term savings through reduced downtime and deferred infrastructure upgrades. In the long run, ALVA is expected to improve grid resilience, extend asset lifespans, optimize operational costs, and provide DSOs with enhanced planning flexibility.

    Benefits

    • ALVA delivers transformative benefits for DSOs within just a few months of deployment. It streamlines operations and reduces costs through precise, real-time grid data, enabling a 95% reduction in grid documentation update cycles, optimizing maintenance with predictive simulations, and enhancing reliability by minimizing service outages.
    • ALVA’s predictive analytics-driven approach reduces unnecessary infrastructure investments, significantly lowering costs on trenching, cabling, and technical loss buybacks by up to 10% annually. It decreases operational costs by reducing the workforce needed for grid planning, while detecting non-technical losses to recover lost revenue. Through optimal path configuration, ALVA also provides financial benefits by reducing energy generation and distribution costs.
    • Overall, ALVA improves grid resilience, extends asset life, and minimizes environmental impact, with these advantages achievable in months for any DSO.

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