Smart metre builds a sensor network that is overlaid on the low voltage grid, allowing for timely monitoring of low voltage grid performance down to the individual customer level. There are numerous applications for AMI data, and I have developed a new one for detecting an electric vehicle charger in a residential house that is powered by the low voltage grid. Take a look at the sample below.
The Hong Kong government targets to have 150,000 EV chargers* by 2025. If a power utility can properly identify the supply location of an EV charger connection, it is a viable way to postpone network reinforcement investments by implementing EV demand response programmes.
*https://lnkd.in/guYx9AC5
I intend to locate any suspected unregistered private EV charger supplied by LV via Smart Metre readings by stacking smart metre daily readings, e.g. consistent and high demand load (20Amp) for several hours at midnight.
The findings are as follows.
1. The observation period could be focused between 11 p.m. and 6 a.m.
2. Suspected EV charging activities do not happen every day.
3. Consistent and stable high demand (~20Amp)Â
4. Significant variation in load demand between days at the same time
Â
