A Hosting Capacity Evaluation Method Considering Solar Radiation, Wind Speed and Loads

The dependence of distributed generation (DG) outputs and load plays an essential role in renewable energy accommodation. This paper presents a modeling method that captures complex dependent structures of solar radiation, wind speed, and loads. First, an advanced dependence modeling method called regular vine (R-vine) is applied to capture the complex dependence structure of solar radiation, wind speed, commercial loads, industrial loads, and residential loads. Then, a chance-constrained DGHC evaluation model is employed to figure out the maximum hosting capacity of each DG and its optimal allocation plan with different operational risks. The proposed approaches are validated using a set of historical data from China. Results show that the dependence among different DGs and loads has a significant impact on the hosting capacity. This finding provides useful advice for distribution networks in installing renewable energy generations.