Advanced Data-driven Virtual Electricity Network Tracking
We are recruiting sites for trial in Writtle, Essex
We are inviting the Writtle community to apply to participate in Project ADVENT (2nd trial area) and take part in a 6-month trial!
To apply please visit the Crowd Charge website by clicking the button below.
Fund
ADVENT is funded by Innovate UK, part of UK Research and Innovation (UKRI).
Project status
Start date: June 2020
End date: May 2022
Status: In progress
Challenge
Monitoring and managing the electricity network is becoming increasingly challenging as we transition from a centralized to a decentralized renewable system. Having visibility of the network is vital to reduce risk, but current methods of monitoring are prohibitively expensive.
Project approach
ADVENT aims to utilise the data from electric vehicle (EV) charging points and other connected devices to develop and test a virtual network monitoring system based on voltage readings from EV chargers. It will offer a cost-effective solution to:
- Provide voltage and load monitoring at a fraction of the current cost
- Highlight unreported microgeneration
- Resolve Phase — Property identification, overcoming the labour-intensive process of fitting monitoring equipment to substations before walking to each property supply point.
Project Aims
Understand the feasibility of utilizing EV charge points as data nodes.
Determine how many nodes other a representative and reliable picture of the system health.
Design and develop a platform for DNO visibility of network health.
Project Stats
3
80
H19 Role
Hangar19 are advancing the capability of our current products, the CPMS and Controller Range to extract, store and feed voltage data from charge points and other connected devices. This data will feed the University of Readings virtual network algorithms.
Consortium