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GridOS: a network model based multi-time frame holistic approach to distribution analysis (planning) and that provides adaptive controls performing dynamic dispatch (Operations).
About
GridOS as a leading analytics platform would support utilities planning, operation and creation of new business models in the electricity sector, supporting the DNO to DSO transformation. Furthermore, GridOS support greater coordination between different vectors (electricity, gas, mobility, etc...) GridOS Flexibility; a DSO-Flexibility System Orchestrator and Coordinator suite that enables the animation of DSO flexibility markets while continuously ensuring system stability and optimal operations. GridOS IDP; is a holistic approach multi-time frame holistic approach to distribution analysis and data management that breaks down data silos and managing data uncertainty to provide a quantitative, fact-based, granular, and flexible planning tool that captures detailed operational realities. GridOS DERMS; is a network model based that provides adaptive controls which performs dynamic control including the dispatch of capacitors and DERs to mitigate system power quality issues such as harmonics, reverse power flows, and feeder voltage increases, which unlocks the potential for significant DER penetration
Key Benefits
GridOS; is a holistic approach multi-time frame holistic approach to distribution analysis, operations and data management that breaks down data silos and managing data uncertainty to provide a quantitative, fact-based, granular, and flexible planning tool that captures detailed operational realities. In addition, GridOS is a DSO-Flexibility System Orchestrator and Coordinator suite that enables the animation of DSO flexibility markets while continuously ensuring system stability and optimal operations. This capability is based on • Create an accurate 3-phase AC optimal power flows and optimal power flow for situational awareness across the distribution network (including per phase voltages, currents, real power, reactive power, real loss, reactive losses, power factors, asset operation, asset utilization, load duration curves, and more), for the entire study period (e.g., 10 years, looking back as historical or looking forward as forecast) at each study interval (e.g., hourly)., at every asset level and every node on the bus across the distribution network • Allow the modeling point of interaction between Gas and Electricity and facilitate the determination of optimal operation between both
Applications
Long term and short term analysis and optimization Network model based optimal operation End of End Flexibility Market and System Orchestration