The energy transition requires smart and more flexible energy grids to integrate millions of renewable energy resources and new loads such as charging points for electric vehicles into the system. However, distribution grid operators’ IT systems and processes are not ready for this challenge as they are dominated by inefficient and inconsistent data management and many manual process steps.
envelio has developed the Intelligent Grid Platform (IGP) to support distribution grid operators (DSOs) in their future challenges and to make them ready for the mass integration of renewable energies and EV charging points into the power grid. The IGP is a digital and flexible DSO assistance system with three main application areas:
- Data quality: The IGP links formerly isolated data sources and uses machine learning algorithms to correct data errors and complete missing data automatically. As a result, comprehensive and validated digital grid models are created on high, medium and low voltage level.
- Grid planning: With the IGP, many important grid planning processes can be largely automated. This includes e.g. evaluating connection requests for new distributed generators, finding cost-effective grid expansion measures to solve bottlenecks in the grid (taking into account both conventional expansion measures and Smart Grid technologies) or carrying out comprehensive scenario calculations to analyze the long-term impact of electromobility or distributed generation on the grid.
- Grid operation: The IGP supports system mangers with detailed real-time information about the current and future grid state. For this purpose, interfaces to the control system and measuring points are implemented. The data is processed with state estimation algorithms. In the case of imminent grid bottlenecks, the IGP provides recommendations for congestion management taking into account a wide range of Smart Grid options.
The IGP is based on findings and algorithms of five PhD theses in the field of grid planning and operation. It comprises state-of-the-art optimization algorithms as well as solution methods based on artificial intelligence. By using these innovative computing approaches, the IGP enables a fast and cost-efficient integration of distributed generation, charging points for electric vehicles and electric heating or cooling appliances into the future energy system.