With the rapid accumulation of distributed photovoltaic (PV), energy storage devices and electric vehicle (EV) charging facilities towards the end of the distribution network, the traditional admission capacity judgment based on instantaneous extreme value is difficult to accurately reflect the real bearing boundary under continuous operation conditions. In this paper, we propose an admission evaluation method based on continuous load capacity for optical storage and charging microgrid. In this study, the data of distribution network topology, node sequential load, photovoltaic output, energy storage charging and discharging state and charging behavior are integrated into the computational framework. After data preprocessing, continuous load capacity feature extraction and timing evaluation modeling, the dynamic measurement of admission boundary is realized. The results show that the MAE, RMSE and MAPE of the model on the test set are 7.12 kW, 9.84 kW and 2.91%, respectively, and the coefficient of determination is 0.964. The peak net load of a typical day in the evening decreases from 301.4kW to 279.2kW, the maximum voltage deviation of the end node decreases from 5.8% to 3.9%, and the feeder can safely accept the optical storage and charging microgrid capacity is 286.5kW. The results show that the evaluation framework based on continuous carrying capacity can more accurately describe the carrying level of the distribution network under the synergy of optical storage and charging, and provide a computable basis for access evaluation and capacity planning.
