With the growing number of volatile renewable energy producers, the management of the electricity grid gets more and more complex. Our algorithm-based system FuturePowerFlow laps locations of the many thousands decentralised renewable energy generators, weather forecasts, operation modes of renewable energy plants, grid infrastructure data and demand forecasts to make the integration of renewables precisely plannable. Thus, the platform adapts to the different requirements of different users, from distribution system operators at different voltage levels to transmission system operators at the highest voltage level.
i.e. you only choose the modules you need
Grid Load and Power Flows forecasts
Based on the forecast of the vertical grid load, FuturePowerFlow can perform a predictive load flow calculation. The basis for this is the respective network model, which can be stored in the platform by the user.
Grid Congestion Management
The cost-efficient prevention of grid congestion is a core function of FuturePowerFlow. The results of the network analysis of the customer's grid are used to calculate the necessary measures on the individual plant level.
The basis for the standardized market communication in the platform are the network codes established the European Union, including the Systems Operations Guideline (SOGL) and the Generation and Load Data Provision Methodology (GLDPM). The Common Grid Model Exchange Standard (CGMES) is used for the exchange of grid model data. Power plant deployment plans, planning data and unavailabilities can be received directly from the responsible parties for deployment and are taken into account together with other forecasts, switching states etc.
Redispatch 2.0 / FuturePowerFlow – References
Leading grid and distribution system operators rely on our flexible complete solution FuturePowerFlow for the implementation of Redispatch 2.0.