Network Intelligence through Probabilistic Risk Assessment Methodology (NIPRAM) to improve electricity system restoration
Status:
Complete
Project Reference Number:
NIA2_NGET0038
STRATEGY THEME:
  • Net zero and the energy system transition
START DATE:
END DATE:

Project summary
Funding mechanism:
  • NIA_RIIO-2
Technology:
  • High Voltage Technology
  • Resilience
Expenditure:
£437,968
Third Party Collaborators:
  • Aerospace Technical Services
Summary
Learnings
Documents

Local Joint Restoration Plans (LJRP) detail the agreed method and procedures used to restore the total system following a total or partial shutdown. For Transmission Licensee’s, an LJRP defines the critical assets and substations selected for initial re-energisation of the transmission network.   

NGET forecasts a growth in LJRPs across the transmission system. In many cases this is where the network by design offers less redundancy or is depleted whilst network reinforcements are carried out.  In these instances, optimising LJRP energisation strategies is critical.   

This project seeks to demonstrate a rigorous quantitative risk analysis methodology for the pre-planning and selection of assets and substations included within LJRP’s. The project will enable a greater level of intelligence relating to network performance and decision optimisation following a shutdown. 

Benefits

The assumption for the benefit estimation is that this quantitative approach would deliver 12.5% reduction in LJRP implementation time. This yields potential savings/NPV benefits over the next 6 years of approximately £3.410m in exposure costs, based on the value of lost load.