Creation & management of long-term grids at the medium-voltage level
Your workflow starts in a central overview of all long-term grid projects. Using filters (e.g., by year, grid area or editing status) or the search feature, projects can be found quickly. Your most recently edited long-term grids can be accessed right away.
The process of creating a new long-term grid begins with selecting the current grid state, defining the target year and, optionally, importing a supply scenario from an existing grid study.
The scenario can be created manually in the IGP or automatically via an API. In both cases, users can apply automated distribution methods and assign new consumers or generators to specific nodes. All saved planning states are versioned, including the history and documentation of decision processes.
AI-based algorithm for creating optimal long-term grid variants
To evaluate possible long-term grid variants efficiently, heuristic methods are combined with technical simulations. The AI-based algorithm continuously learns from each planning scenario: It systematically analyzes successful grid expansion strategies, recognizes patterns and dependencies between different expansion measures and uses these insights to generate increasingly precise solutions with each iteration.
A learning-based probability distribution ensures that only the most technically and economically promising options are simulated and validated. This way, there is a solid balance between the required computational effort and the quality of the results, which is especially relevant when dealing with large grid areas and complex planning scenarios.
Easy and flexible study year analysis (e.g., 2030, 2035, 2045)
With the Strategic Grid Planning app, study year analyses can be based on one another in order to methodically develop long-term expansion paths. The result is a consistent picture of the grid's development across different time horizons — from the early identification of future expansion needs and the evaluation of alternative development paths to deriving sound investment decisions in line with regulatory requirements.
Best- and worst-case scenarios can be simulated by flexibly switching between different supply tasks for defined study years. New insights can also be integrated into the underlying supply scenarios at any time. This way, the study year analysis becomes an integral part of a strategic grid planning approach that is scalable, transparent and compliant with all relevant regulations.
Transparent analysis, evaluation, and manual fine-tuning of automated measures
Suggested measures that are automatically created by the algorithm are visualized in the result view. There, they can be used for structural analyses. Individual measures or entire groups of measures can be flexibly adjusted, grouped or reprioritized within the planning timeline.
In addition, you can compare different long-term grid variants and seamlessly include them in downstream planning or decision processes. The result: An efficient combination of automation and planning expertise.
Automation of complex planning processes
Efficient and transparent grid optimization thanks to algorithmic analysis and automated variant creation.
Cost-effective and robust expansion decisions
Systematic evaluations that prioritize grid optimization before reinforcement and expansion. Technically validated and economically viable sets of measures.
Auditability and regulatory compliance
Versioning, documentation and standardized exports make it easier to meet regulatory requirements.
Free Live-Demo
Whether it’s grid connection checks, grid planning, or monitoring – experience in a personalized live demo how our platform helps you actively tackle the challenges of the energy transition.
Simply fill out the form and choose your preferred time slot – you’ll receive an instant confirmation email. Please note that we will check the availability of our team and may follow up with an alternative if no sales manager is available at the selected time.
