Creating and managing future grid configurations in medium voltage
Your workflow begins with a centralized overview of all strategic grid planning projects. Using filters (e.g., by year, grid area, or processing status) and a search feature, projects can be quickly located. Recently edited grid configurations are directly accessible.
Creating a new future grid configuration starts by 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 automated via an API. Users can apply different automated distribution methods as well as detailed node-specific allocations for new consumers or generators. All planning states are stored with version control, including a full history and documentation of decision-making processes.
AI-based algorithm for creating optimal future grid scenarios
To efficiently evaluate possible future grid scenarios, heuristic methods are combined with technical simulations. The AI-based algorithm continuously learns from each planning scenario: it systematically analyzes successful expansion strategies, identifies patterns and interdependencies between different reinforcement measures, and generates increasingly precise solution proposals with each iteration.
This learning-based probability distribution ensures that only technically and economically promising options are simulated and validated. This creates a strong balance between computational effort and solution quality – a key advantage when planning for large grid areas and complex planning scenarios
Simple and flexible target year analysis (e.g., 2030, 2035, 2045)
With the Strategic Grid Planning app, you can run sequential target year analyses to systematically develop long-term expansion pathways. This approach provides a consistent view of grid development across multiple time horizons, from the early identification of future grid expansion needs and the evaluation of alternative development paths to deriving sound investment decisions in line with regulatory requirements.
You can simulate different best- and worst-case scenarios by flexibly switching between various supply scenarios for each target year. New insights can also be incorporated into the underlying scenarios at any time. In this way, target year analysis becomes an integral part of a long-term grid planning process that is scalable, transparent, and compliant with all relevant regulations.
Transparent analysis, evaluation, and manual fine-tuning of automated measures
Measures proposed automatically by the algorithm are clearly visualized in the results view and can be systemically analyzed there. Individual measures or entire groups of measures can be flexibly adjusted, grouped, or prioritized manually.
You can also directly compare different future grid models and seamlessly transfer them into downstream planning or decision-making processes. The result is an efficient combination of automation and planning expertise.
Automation of complex planning processes
Efficient and transparent grid optimization through algorithmic analysis and automated generation of alternative scenarios.
Cost-effective and robust expansion decisions
Assessment and comparison of variants based on the strategy that prioritizes optimization and reinforcement options over expansion, enabling technically validated and economically sound portfolios of measures.
Auditability and regulatory compliance
Version control, documentation, and standardized exports make it easier to meet regulatory requirements and support compliance with national and international standards.
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.
