Framework for Risk Analysis and Modelling of Events (FRAME I)

Completed

Other Cross-Cutting Technologies or Research(Energy system analysis)
Other Power and Storage Technologies(Electricity transmission and distribution)
Other Cross-Cutting Technologies or Research(Environmental, social and economic impacts)

Applied Research and Development

SOCIAL SCIENCES (Business and Management Studies)
ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering)
ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences)

Not Cross-cutting

Project Contact
National Grid Electricity Transmission

Network Innovation Allowance

Ofgem

01 January 2025

30 June 2025

ENA months

£592,009

Power

London

Network Innovation Allowance

Project Contact, National Grid Electricity Transmission

FRAME Phase 1 (FRAME I) will deliver an interactive minimal viable product (MVP) web application displaying key metrics for the NGET Network Resilience Risk Tool. By incorporating the metrics into the resilience assessment framework, FRAME (the network resilience dashboard) will provide a more comprehensive view of network resilience, enabling more informed decision-making and proactive measures to enhance the overall reliability and performance of the network.The project aims to jointly develop the MVP by leveraging NGETs data and hosting it within Baringas infrastructure (Baringa. Cloud). The goal is to create end user views or reports by combining various metrics and individual views, tailored to user profiles, providing site and national perspectives. The tool will allow users to weight issues based on impact, apply filters, and integrate multiple data sources to generate a risk score model.Machine learning models will be developed to calibrate fragility curves at the substation level using relevant data, with evaluation against business cases and a roadmap for continuous improvement. Following the MVP there is potential for transitioning the NGET Network Resilience Risk Tool into National Grid infrastructure under a separate contract for the FRAME phase two (FRAME II).Data Quality Statement (DQS): The project will be delivered under the NIA framework in line with OFGEM, ENA and NGET internal policy. Data produced as part of this project will be subject to quality assurance to ensure that the information produced with each deliverable is accurate to the best of our knowledge and sources of information are appropriately documented. All deliverables and project outputs will be stored on our internal SharePoint platform ensuring backup and version management. Relevant project documentation and reports will also be made available on the ENA Smarter Networks Portal and dissemination material will be shared with the relevant stakeholders.Measurement Quality Statement (MQS):?? The methodology used in this project will be subject to our suppliers own quality?assurance regime. Quality assurance processes and?the source of data, measurement processes and equipment as well as data?processing will be clearly documented and verifiable. The measurements, designs?and economic assessments will also be clearly documented in the relevant?deliverables and final project report and will be made available for review.Medium RiskIn line with the ENAs ENIP document, the risk rating is scored medium.TRL Steps = 3 (7-8 TRL, 2 steps)Cost =2 (556k)Suppliers = 1 (1 supplier)Data Assumption = 1 (data supplied by suppliers and NGET for analysis) FRAME I will deliver an interactive MVP web application displaying key metrics for the Network Resilience Risk Tool. It will comprise of the following 5 work packages (WP).Work Package 1: Identifying target User Interface (UI) wireframes, establishing the solution architecture design, and accessing relevant data sources for risk modelling in the FRAME platform.Work Package 2: The first iteration of the risk score model for web application, the initial iteration of the large language model (LLM) for incident data summarisation, finalisation of UI wireframes, and the development of the initial UI.Work Package 3: Deploy, test, and compare the risk score model, incident LLM models, and platform performance, while initiating penetration testing to ensure security measures are strong and resilient.WP 4: Refine the network tool,complete User Acceptance Testing, address findings, and make final feature refinements before going live with the MVP.WP 5: MVP go live, and a final comprehensive report will be created for the tooling and platform to specify its capabilities. The key objective of the FRAME project is to have a central view with resilience risk score to highlight network risk areas for decision-making. FRAME will enhance the visualisation of network resilience by combining multiple data sources and developing a risk scoring framework along with a holistic map view. This will facilitate prompt issue identification and enable quicker decision making during live events and extreme weather conditions.

The expanding and interconnected electricity network poses challenges for National Grid Electricity Transmission (NGET) in monitoring and assessing network resilience. Currently, tracking resilience involves multiple metrics on separate Power BI pages, making it difficult to view overall resilience and hindering timely decision-making during storms or major events. This fragmented approach can lead to suboptimal maintenance and repair decisions. To address these challenges, the proposed project aims to incorporates probabilistic risk analysis to further improve resilience assessments, enhance decision-making accuracy using risk scores, and identify weak areas in the network. Additionally, simplify monitoring through a holistic map view. Ultimately, the project seeks to improve network resilience by streamlining risk identification and establishing minimum resilience levels for substations. FRAME II will be the full product release following the Minimum Viable Project phase in FRAME I.

02/04/25