What is the feasibility of using data from existing monitoring assets (i.e. network sensors, smart meters) and advanced data analytics to better understand network condition and optimise operational efficiency (as opposed to installing expensive sensor equipment all over the low-voltage network).
Background
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Source
This question was published as part of the set of ARIs in this document:
Topics
Related UKRI funded projects
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KlikPower Precision measurements and scavenged energy for smart power networks
KlikPower is a project led by Create Innovation Solutions Ltd and supported by CREST at Loughborough University focused on the development and evaluation of a very low cost, remotely readable, non-invasive electricity su...
Funded by: Innovate UK
Lead research organisation: CREATE INNOVATION SOLUTIONS LTD
Why might this be relevant?
The KlikPower project focuses on developing low-cost monitoring sensors for electricity substations, aligning with the goal of using existing assets for network condition understanding.
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The study, assessment and proof of market potentials and economics of a new condition monitoring technology for Smart Grid applications
Severe weather is the major cause of power outages in many countries including the UK and costs the economy billions of pounds a year. Moreover, since power production from renewables depends on weather conditions, it su...
Funded by: Innovate UK
Lead research organisation: ZIGOORAT LIMITED
Why might this be relevant?
The project focuses on studying and assessing a new condition monitoring technology for Smart Grid applications using meteorological data.
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VOLTNET: Smart Sensor Network for Powerline Monitoring with Machine Learning
The project aims to develop a demonstrator for a semi-autonomous smart sensor network platform to monitor, detect and classify voltage, power quality and fault events on low voltage (LV) powerlines. The sensors will be b...
Funded by: Innovate UK
Lead research organisation: POWERLINE TECHNOLOGIES LTD
Why might this be relevant?
The project specifically focuses on using smart sensor networks and advanced data analytics to monitor and optimize network condition, aligning with the question's objective.