Accurate grid modelling boosts EV charger rollout

Electric vehicle (EV) adoption is on the rise, and with it comes the need for an extensive network of charging points. However, the addition of thousands of new EV charge points across the UK poses challenges for grid operators in managing energy supply. According to Dave Roberts, CTO for the Visnet tool at EA Technology, modelling and monitoring the low voltage network can help identify optimal locations for installing these charge points without overwhelming the grid.

One of the key limitations for the widespread roll out of EV chargers is the availability of grid connections. It can be a time-consuming process to install additional grid equipment and obtain necessary approvals. By utilizing location and time-based network modelling, EV charger operators can pinpoint areas that can better accommodate the technology, thus expediting the deployment process.

Roberts emphasized the importance of granular network modelling for electricity operators to support the transition to EVs. This approach enables operators to pinpoint areas with available capacity to accommodate the new charge points. Additionally, it allows for the identification of congestion points in energy supply, both in terms of location and time of day.

Load management systems and open-source software frameworks are being leveraged to scale EV charging infrastructure efficiently. Ian Cooper, Head of Product and Strategic Sales for VisNet Modelling, highlighted the challenge for distribution network operators to strategically deploy charge points based on demand and network capacity.

Cooper stressed the need for operators to have detailed visibility of network capacity at a local level to facilitate the installation of charge points in areas where capacity is sufficient. By focusing on these locations initially, operators can meet the growing demand for EV charge points in a cost-effective manner, minimizing disruptions such as road excavations and new cabling installations.