New levels of analysis and modelling of systems is required, primarily considering: • Real-time state estimation based on real-time data • Sophisticated demand forecasts using metering data and bottom-up aggregation of various load categories • Calculating and applying locational value • Calculating and applying distributed resource value • Calculating flexible capacity Flexibility offers solutions for both the planning and operation of distribution networks. However, to use flexibility services, DNOs need to assess dynamic network conditions to establish how much flexibility capacity is required, when it is needed and where on the network flexibility providers can be located. SPEN has developed a methodology to establish these parameters Base Network Model (Ipsa/Digsilent) Base Network Studies Power Flow (N-1, N-2,∆v) Scenario Demand Forecasts Profile Based Power Flow Simulations (17520 simulations) Flexibility MW/MVAR Capacity Service Window Duration of Commitment Service type – Secure/Dynamic/Restore End of Scenario (Move to next year) Risk Profile and Duration (Hrs, Time, Days, Month) Network Impact Assessment Thermal and Voltage (Most Onerous Contingency) Trigger Levels Thermal – Intact/Cyclic Rating Voltage – 0.94/1.06 p.u. (Firm Capacity) Historical Demand Profile (Demand Data)