SYNAPS Fault Detection, Classification & Location Solution
Transcript of SYNAPS Fault Detection, Classification & Location Solution
120/02/2019 1
SYNAPS Fault Detection, Classification & Location Solution
Rona Mitchell
About UK Power Networks
Our vision is formed by our employees, consumers and wider stakeholders:
The safest
The best employer
The most reliable
The most satisfied customers
The most innovative
The most socially responsible
The lowest cost
Agenda
• Project Partners
• Project Overview
• Network Context
• Project Detail
• Q&A
Project Partner: Powerline Technologies
• Background/expertise in communications and smart grid
• 51% owned by Fundamentals Ltd
• European business partner for Hubbell Aclara overhead line sensors
• Focus on distribution automation, fault detection & monitoring
• Previous Innovate UK projects
• Expertise in AI and machine/deep learning
Other Partners
• DNO funding partner
• Support in governance, collaboration
• Test network
SYNAPS Project
• Fault identification, classification and location
• Duration: 06/2018 to 09/2019
• Budget: £680k
• Project Organisation:
• Phase 1: PNDC testing
• Phase 2: Live network trial
Problem
Cable Faults
Number of LV Faults
Cable Faults
Cost of LV Faults
What is driving change?
• UK transition to a low carbon economy• 180,000 plug-in EVs
• 8.9 GW DG
• 1 GW battery storage
• Improving technology
• Political and regulatory climate
Solution - What
• Detect unusual waveforms
• Classify type of fault
• Predict location (~3m)
Solution - How
• Machine learning algorithm
• 100 kHz voltage sampling
• Abnormal readings sent for review
• Software classifies fault type and location
But how do you test it?
Cable damage from fault types
Type 1 Fault: Arcing, transient
0.50-5kA, 5-60ms duration
Type 2 Fault: Permanent
2-10kA peak, 100-500ms
duration
Results
Machine Learning
SYNAPS Phase 2 – In flight
• Test device on a live network
• Write procedure for use
• Risk assessment for new hardware
• Identify test circuits
• Compare results with traditional fault location technologies