Optimization Method for Intelligent Operation Service of Charging Stations Based on Tripartite Collaboration

This optimization method adheres to the purpose of enabling charging pile operators to increase revenue among the three stakeholders of the vehicle, station and network, and develops a smart operation function. The innovation of this optimization method lies in the fact that it can analyze the operation service level based on real-time IoT data, find problems in the operation plan, and further combine real-time indicators to optimize and simulate the operation plan, predict the optimization effect, and help operators better use the data to achieve more reasonable resource allocation and more ideal benefits. Based on the simulation platform of tripartite collaboration, the proposed optimization method can make the optimization scheme derived from the electricity price decision model more reliable and feasible.