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The development of electric vehicles (EVs) as a new energy vehicle is increasing. The charging power and harmonic prediction are the basis for analyzing EV operation scheduling and improving power quality. Firstly, the Monte Carlo method is uesd to obtain the initial charging time, daily driving mileage, and the stage of charge (SOC) of the electric vehicle. The charging duration of the EV can be obtained according to different charging power and battery performance. Then based on the charging power varying with SOC, the harmonic coupling admittance matrix staged model can be established. Based on the power and harmonic current models, the charging power and harmonic current of single and large scale EVs in residential areas are determined. Finally, the results indicate that the charging load increases the peak-to-valley difference and rises the total harmonic distortion (THD) of the residential area.

Research on the Power Prediction and Harmonic Evaluation of Electric Vehicle in Residential Area