Modeling the Supply Task of Grids

The tasks of distribution grids are increasing with the transformation of the energy system. The electrification of the heating and transport sectors and the integration of distributed decentralized generation are massively increasing the need for grid expansion. 

With our tools, global scenarios can be broken down to the grid area under consideration with grid connection point accuracy. In order to estimate the future supply task as precisely as possible, grid operators data is blended with publicly available geoinformation.

Load and generation time series are generated on the basis of local weather conditions so that weather-related correlations, e.g. in the operation of heat pumps, are realistically modeled. This allows the challenges facing grid operators to be precisely quantified. Thereby, grid expansion decisions can be made taking future operational management options into account.  

Expansion decisions can be derived with the help of the Intelligent Distribution Grid Optimization Framework.

• Connection Point Scenarios for Network Areas
• Influence of National and Municipal Energy Policy on the Electricity Grids
• Creation of Time Series for Selected Areas

In the context of political objectives and the results of energy system studies, we work with you to develop possible transformation paths for your grid area. Complementary transformation paths are identified in order to take account of both global uncertainties and local specifics. Finally, the current and future connection points in the grid area are analyzed for each transformation path in order to determine load and generation profiles. These models serve as the basis for fundamental decisions on grid expansion.

Geodata analyses are used to record local actors in order to model their electricity and heat consumption. This data is then combined with road routes to generate synthetic local electricity grids. The next step is to model how consumption and generation change as a result of national or municipal energy policy objectives. These synthetic grids can be used to analyze the resulting demand for the expansion of local electricity grids. 

A decisive advantage of these synthetic grids is their immediate availability, which enables a realistic simulation without the need for lengthy data collection.

If, for example, it is known that many heat pumps and electric vehicles will be connected to the grid in a new development area, synPro can be used to create the specific electrical load, generation and flexibility profiles for each individual connected user. As the thermal demand is also modeled, this could be used for further analyses.