Charging Load Feature Extraction and Charging Optimization Recommendations Based on Shanghai Public Charging Station Operation Data

摘要

With the promotion of electric vehicles, the demand of electric vehicle users is gradually increasing, and a large number of electric vehicle loads are connected to the power grid, which affects all aspects of the grid's operating indicators. Accordingly, this paper firstly preprocesses 20 months of operating charging piles in Shanghai, and then uses cluster analysis to partition the data into clusters, extracting corresponding charging load characteristics while retaining site type, administrative area and service object information, and exploring the potential of different types of electric vehicles to participate in demand response.