Growing feed-in volumes from volatile renewable energy generators and other distributed energy resources pose new challenges to grid operators. Power flows in electricity grids become more complex and change dynamically. Increasing short-term redispatch measures to resolve occurring grid congestions often significantly affect valuable solar and wind power generation.
As a response, emsys grid services has developed its FuturePowerFlow software for power grid operators. This sophisticated IT platform allows to predict future grid congestions and to determine efficient solutions to resolve them at an early stage. Thus, FuturePowerFlow helps to reduce costly renewable energy curtailments. At the core of our IT platform is an algorithm-based software which processes enormous data volumes. This includes mapping of many thousands of renewable energy generators as well as processing of power forecasts, operation modes of renewable energy plants, grid infrastructure data and demand forecasts.
Characterized by a modular architecture, our platform is highly flexible and can be adapted to the individual requirements of distribution and transmission system operators. emsys grid services offers FuturePowerFlow as a Platform as a Service (PaaS) which can be easily embedded into existing IT infrastructure.
you only choose the modules you need
Vertical grid load and power flow forecasts
Based on the forecast of the vertical grid load (i.e. between different voltage levels), FuturePowerFlow can perform a predictive load flow calculation. The basis is the individual grid network model of the system operator which can be stored in the platform by the user.
Grid congestion management / Redispatch
Efficiently resolving grid congestions is a core function of FuturePowerFlow. The results of the analysis of the power grid are used to calculate the necessary redispatch measures on the individual plant level.
The basis for the standardized market communication in the platform are the network codes established in 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. Non-European standards are also possible.
Redispatch 2.0 / FuturePowerFlow – References
Leading transmission and distribution system operators rely on our cutting-edge software solution for a predictive congestion management.