Industrial Park Load Modeling with EV-Charging-Dominant Centralized Charging Stations

To address issues such as large load fluctuations in industrial park areas, high risks of local distribution network overloads, and the difficulty of traditional load models in reflecting equipment and operational constraints, this paper constructs a fine-grained load simulation and source-load-storage-grid integrated collaborative optimization framework for industrial parks. First, the load-bearing capacity boundary and capacity constraints of the distribution network are explicitly introduced on the network side to ensure compliance with distribution network safety verification requirements. Second, a fine-grained model at the charging connector level is established to depict key constraints such as connector occupancy, parallel service, and power allocation, thereby improving the accuracy of load time-series simulation. Furthermore, the operational indicator of the average number of single-vehicle weekly charging times on the user side is incorporated into the objective function, forming a multi-objective trade-off with traditional indicators. Case study results demonstrate that the proposed method can effectively mitigate the net load fluctuations in the industrial park without exceeding the distribution network's load-bearing boundary, and by introducing a daily charging frequency indicator, it achieves a charging load distribution scheme that better aligns with actual operational conditions, providing a reference for the integrated energy and electrified load collaborative operation in industrial parks.