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Projects: Projects for Investigator
Reference Number	NIA_UKPN0053
Title	Storm Resilience
Status	Completed
Energy Categories	Other Cross-Cutting Technologies or Research(Energy system analysis) 20%; Other Power and Storage Technologies(Electricity transmission and distribution) 80%;
Research Types	Applied Research and Development 100%
Science and Technology Fields	ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 80%; ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences) 20%;
UKERC Cross Cutting Characterisation	Not Cross-cutting 100%
Principal Investigator	Project Contact No email address given UK Power Networks
Award Type	Network Innovation Allowance
Funding Source	Ofgem
Start Date	01 December 2019
End Date	01 December 2021
Duration	ENA months
Total Grant Value	£664,943
Industrial Sectors	Power
Region	London
Programme	Network Innovation Allowance
Investigators	Principal Investigator	Project Contact , UK Power Networks (100.000%)
	Industrial Collaborator	Project Contact , UK Power Networks (0.000%)
Web Site	https://smarter.energynetworks.org/projects/NIA_UKPN0053
Objectives	This project supports the drive to be an even more reliable network operator through improving the resilience during severe events. The initiative is split across two work streams:Work stream 1 Lightning into PowerONThis work stream will trial a proof of concept where UK Power Networks Network Management System (PowerOn) will receive lightning strikes locations in real time via an API developed by an international weather consultancy. These locations will be linked to poles and to the network diagram using time and distance parameters to enable verification of the reason behind circuit-breaker opening and disconnecting the circuit. After this mapping is established, a dedicated alarm will be created in PowerOn to notify control engineers that the faulted circuit was likely struck by lightning. This could reduce CIs and CMLs associated with lightning strikes.Work stream 2 Resource estimationWe will gain access to advanced weather forecast parameters from stations across the UK Power Networks licence areas. This work stream will trial the concept of using predictive analytics to combine historic fault data to weather parameters. This will build on and enhance our existing capabilities to forecast the impact of severe weather. The novelty will be within the development of the link between high frequency sampled weather data and the distribution network. This will ultimately drive a numerical prediction of weather related fault volumes and locations. These forecasts will provide a probabilistic view of the storm impact and quantify the expected level of risk each weather event presents.As part of the project, the resources required to adequately manage the severe weather will be forecasted as well, by leveraging the valuable experience of our emergency planning team. Ultimately, this will trial a system capable to forecasting, planning and responding to severe weather events more effectively and optimise resource requirements thus reducing the impact of outages to customers and controlling costs. Work stream 1 Lightning into PowerOn: Secure API connection between supplier and PowerOn; Mapping of lightning strike locations to poles geographically and capability to adjust time and distance parameters in order to link strikes to circuits; Development of the verificiation algorithm and alarms; and Trial of solution in order to capture sufficient lightning activity and prove the concept on the live system.Work stream 2 Resource estimation: Probabilistic forecast model development and matching of weather data to historic network faults; Development of a resource calculation demonstrator; Design of front end interface; Update current solution and build of the probabilistic and resource forecasting; and Trial the solution to capture severe weather activity and prove the concept on the live system. This project aims to:1. Develop and trial solutions which support the readiness for severe weather through:a. Work stream 1 Linking near real time lightning data to the network; andb.Work stream 2 Analysing weather parameters and fault data to provide resource estimation and fault volume forecasts.2. Determine how to present the outputs in a consistent, verifiable and easy to use manner for:a. Work stream 1 confirmation that a fault is a result of a lightning strike; andb. Work stream 2 probabilistic forecast of fault volumes and recommended resources. Ultimately, the main project objective, consistent across both work streams, is to improve the network reliability during severe weather days and minimise the disruption to our customers.
Abstract	This project supports the drive to be an even more reliable network operator through improving the resilience during severe events. The initiative is split across two work streams:Work stream 1 Lightning into PowerON:This work stream will trial a proof of concept where UK Power Networks Network Management System (PowerOn) will receive lightning strikes locations in real time via an API developed by an international weather consultancy. These locations will be linked to poles and to the network diagram using time and distance parameters to enable verification of the reason behind circuit-breaker opening and disconnecting the circuit. After this mapping is established, a dedicated alarm will be created in PowerOn to notify control engineers that the faulted circuit was likely struck by lightning. This could reduce CIs and CMLs associated with lightning strikes.Work stream 2 Resource estimation:We will gain access to advanced weather forecast parameters from stations across the UK Power Networks licence areas. This work stream will trial the concept of using predictive analytics to combine historic fault data to weather parameters. This will build on and enhance our existing capabilities to forecast the impact of severe weather. The novelty will be within the development of the link between high frequency sampled weather data and the distribution network. This will ultimately drive a numerical prediction of weather related fault volumes and locations. These forecasts will provide a probabilistic view of the storm impact and quantify the expected level of risk each weather event presents.As part of the project, the resources required to adequately manage the severe weather will be forecasted as well, by leveraging the valuable experience of our emergency planning team. Ultimately, this will trial a system capable to forecasting, planning and responding to severe weather events more effectively and optimise resource requirements thus reducing the impact of outages to customers and controlling costs.
Publications	(none)
Final Report	(none)
Added to Database	14/12/22