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Reference Number NIA_SPEN0014
Title Active Fault Level Management (AFLM)
Status Completed
Energy Categories OTHER POWER and STORAGE TECHNOLOGIES(Electricity transmission and distribution) 100%;
Research Types Applied Research and Development 100%
Science and Technology Fields ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 100%
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Project Contact
No email address given
SP Energy Networks
Award Type Network Innovation Allowance
Funding Source ENA Smarter Networks
Start Date 01 February 2017
End Date 01 October 2018
Duration 20 months
Total Grant Value £750,000
Industrial Sectors Power
Region Scotland
Programme Network Innovation Allowance
 
Investigators Principal Investigator Project Contact , SP Energy Networks (99.999%)
  Other Investigator Project Contact , ScottishPower Manweb plc (0.001%)
Web Site http://www.smarternetworks.org/project/NIA_SPEN0014
Objectives The objective of the project is to maximise utilisation of existing fault-level headroom by demonstrating the potential merits of a comprehensive AFLM toolbox combining model + monitor + mitigate + manage approaches. The project will be deemed successful upon delivery of the following: Work Package 1 (WP1): AFLM Toolbox definition and modelling Upon completion of WP1 the following deliverables will be produced: GSP Fault Level Headroom Analysis Report Fault Level Measurement Data Analytics Report AFLM Cost-Benefit Analysis Report and Business Case Report Subject to go/no go decision to proceed with WP2:Work Package 2 (WP2): Detailed AFLM Toolbox design and testing Upon completion of WP2 the following deliverables will be produced: Model and Manage Process Definition, Simulation and Test Report Measurement and Mitigate Solution Requirements, Design, Test Specifications and Test Report AFLM Toolbox Simulation Report Subject to go/no go decision to proceed with WP3:Work Package 3 (WP3): Network Demonstration and Learning Capture Upon completion of WP3 the following deliverables will be produced: AFLM Toolbox Trial, Requirements and Design Specifications AFLM Toolbox Solution Demonstration Report AFLM Toolbox Learning Capture Report
Abstract The management of fault levels has always been challenging and problematic for DNOs. Fault level management is particularly challenging given the safety criticality implications as they can result in catastrophic equipment failure and a serious personnel and public safety risk. While conventional practice has been to establish system fault level design limits in line with accompanying plant specification, novel approaches that enable full utilisation of the existing headroom must be developed to facilitate a timely decarbonisation of the economy. Renewable energy will play a critical role in meeting the UK legally binding goal of an 80% emissions reduction by 2050. Deployment to date has been strong with renewables meeting 7. 0% of energy demand in 2014, on-track towards the objective of 30% of electricity from renewables in 2020. Due to unprecedented growth in distributed generation fault level headroom constraints are becoming increasingly challenging often requiring major reinforcement schemes. Fault levels can act as a barrier to the connection of renewable generation and have become a decisive factor in determining the financial viability of distributed generation connections. There are distinct approaches to Fault Level Management, with variation in the means of management and operational characteristics. Each of the following approaches have a role in the proposed AFLM Toolbox: Model: where power system modelling is used to support Fault Level Management, either as: An operational means of FLM; An input to FLM; or for FLM. Monitor: where fault-level measurement methods either: Enable the verification of network modelling methods and assumptions; or Facilitate the online measurement of fault level for operational management purposes. Mitigate: where various techniques for fault current limitation are taken in real-time through physical fault current limitation or via protection actions. Manage: where control systems provide preventative avoidance of fault level infeed exceedance through control of demand and renewable generation to reduce fault level and create network headroom. The project will aim to develop an AFLM Toolbox based upon the Manage approach, using elements of Model and Monitor, with opportunities to work in co-ordination with Mitigate techniques.Note : Project Documents may be available via the ENA Smarter Networks Portal using the Website link above
Publications (none)
Final Report (none)
Added to Database 20/03/18