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Creating an AI-assisted decision support system for electricity distribution system operators, underpinned by advanced digital technology, to drive decarbonisation. The project started on 1 May 2022 and runs until 1 May 2025.
Create an AI-assisted decision support system to drive decarbonisation in electricity distribution systems.
Acquire, process, interpret and exploit data for the benefit of DSO operational planning, integrating AI/ML-based solutions, enhanced situational awareness, and market incentives.
The project will:
AISOP aims to create actionable, tangible and applicable outcomes for distribution systems with the goal to improve operational planning and support decarbonisation. The outcomes will take the following forms while insuring reproducibility, replicability and interoperability:
Methodologies & knowledge
Accessing and combining heterogenous, dispersed datasets
Developing grid situational awareness using edge and embedded network devices
ML-based risk analysis and risk quantification
AI/ML based identification of dynamic tariffs for congestion management
Technologies
Data analytics (forecasting, local optimisation)
ML-based anomaly detection and fault prediction
Digital process twin for distribution systems
Embedded and distributed sensors for LV and MV networks
Services
Dynamic tariffs
DSO congestion management
Fault detection and prediction
Operational risk management
Integration of community in trading platforms
AISOP will contribute to the green energy transition and energy decarbonisation by innovating in both the technological and operational fields. Key areas include:
Digital representation of DSO tasks
Acquisition and representation of end-user and network data in a digital process twin
Insights from data driven analytics
Use of edge analytics to reduce data transfer or centralisation
Privacy protection in data access and exploitation
Grid state forecasting based on temporally and spatially distributed data sources
Anomaly detection from available infrastructure such as smart meters
Market and tariff design for improved operational planing
Digital platform integration into operational planning and network management
AISOP aims to involve need-owners at both national scale as well as at the Europe-wide level. The main need-owners representing the potential users of the AISOP solutions are:
System operators (DSO, TSO)
Technology providers (e.g., digital platforms, sensors)
Prosumers and consumers of electricity
Energy Communities and Energy Managers providing services to the communities
Energy/flexibility aggregators, energy retailers
Building and Distributed Energy Resource (DER) owners
AISOP will bring the following beyond-tech benefits:
Reduction in DSO challenges through advanced analysis of DERs, ensuring higher hosting capacity of renewables and efficient grid utilisation.
Reduction of CO2 emissions through the development of grid-reflective dynamic tariffs that can improve renewable energy integration.
Cost reduction for consumers by improving network utilisation.
Overall reduction of investment costs by leveraging smart resources that have the potential to support services from stakeholders.
Improvements to data privacy and security resulting from edge analysis and distributed computation.
Improvements to grid resilience as a result of better network visibility.
AISOP includes innovative content relating to data access and ingestion, grid situational awareness, and decision support solutions.
Intelligent distributed sensors
AISOP combines data access and ingestion, decision-support, dynamic tariffs, and digital platform integration for improved distribution grid situational awareness.
AISOP brings together an international consortium of highly qualified partners comprising need owners, scientific partners, technology providers and demo sites.
Switzerland
Germany