Power factor signature analysis for disaggregation of EV charging loads from aggregated power

With the increasing number of electric vehicles (EV), an overload of the low-voltage power distribution networks is expected, overload reflected in the power distribution transformers. Monitoring of EVs charging plays a vital role in monitoring and predicting how power loading patterns may affect the lifetime of the power transformers. The possibility of monitoring and predicting the charging profile of EVs will help the Distribution System Operator plan the integration of charging stations. This work proposes four algorithms for the first disaggregation stage of the charging EV profiles from aggregated power. These use only active/reactive powers acquired in real-time at the secondary side of a transformer feeding EV charging station(s). The most valuable feature of these algorithms is their capability of disaggregating an EV charging load from the aggregated power of many other loads in the same line.