The project addresses the challenge of maintaining effective network modelling and planning as power systems become increasingly dominated by inverter-based renewables, HVDC technologies and complex electronic loads. It provides a coordinated approach to improving study efficiency, model quality and future restoration planning. EMT Modelling investigates whether artificial intelligence, automated tools and international best practice can streamline studies. The Complex and Large Electronic Loads workstream seeks generic models and guidance for technologies such as hydrogen electrolysers, heat pumps and EV charging infrastructure, reducing planning uncertainty. The HVDC Restoration workstream examines international restoration practices and access to a generic grid-forming HVDC converter model. Engagement with EPRI's P39 and P40 programmes provides cost-effective access to research, models, tools and expertise, supporting improved modelling capability amongst other benefits.

Benefits

The project will deliver:

• Improved understanding of how AI can support automation and processing of EMT studies.
• Assessment of industry tools for simplified transformer energisation and switching transient studies.
• Generic models and guidance for complex and large electronic loads, including hydrogen electrolysers, heat pumps and electric vehicle supply equipment.
• Improved ability to model and proactively mitigate harmonic, stability and interaction issues associated with emerging electronic loads.
• Improved understanding of HVDC use in system restoration and the characteristics and limitations of grid-forming HVDC converter stations.
• Access to or development of generic models to support EMT studies and real-time simulation of grid-forming HVDC converter stations.
• Potential reduction in consultancy dependency, faster study completion, improved planning confidence and better targeted engineering effort.
• Reports capturing findings from research, model development, toolbox access and any internal assessment of applicability to Transmission Operator’s processes.
• Although the project is low TRL and benefits are qualitative it is expected that the outputs will inform the industry in such a way that will reduce costs and increase network resilience.