Python supervised co-simulation for a day-long harmonic evaluation of EV charging

To accurately simulate electric vehicle DC fast chargers' (DCFCs') harmonic emission, a small time step, i.e., typically smaller than 10 μs, is required owing to switching dynamics. However, in practice, harmonics should be continuously assessed with long duration, e.g., day. A trade-off between accuracy and efficiency thus exists. address this issue, multi-time scale modeling framework of fast-charging stations (FCSs) proposed. In the presented framework, DCFCs' input impedance current emission ideal grid condition, that is, zero no background voltage, are obtained based on converter model timescale simulation. Since DCFC's source functions load, at different loads obtained. Thereafter, they used charging station modeling, where DCFCs simplified as Norton equivalent circuits. level simulation, large one minute, because operating power can assumed constant over minute. With co-simulation, FCSs' long-term quality performance time-efficiently, without losing much accuracy.