Evaluating of Distributed Photovoltaic Hosting Capability in Distribution Stations Considering Chance Constrained

The continuous increase in distributed photovoltaic access capacity in distribution stations will pose a great threat to the safe and reliable operation of distribution stations and even higher-level distribution networks. The distributed photovoltaic output power and load in distribution stations have temporal and time-varying characteristics. Therefore, this paper is based on the time series data of photovoltaic output power and load in a certain region of Shandong Province, China at 35040 time intervals (every 15 minutes) in one year to evaluate the distributed photovoltaic hosting capacity of a distribution station considering chance constraints. Using the method of generating scene based on Euclidean distance and average value to solve. The obtained results indicate that considering chance constraints can improve the distributed photovoltaic hosting capacity of distribution stations and verify the effectiveness of the proposed method in this paper.