1. DG Hosting Capacity Assessment Considering Dependence Among Wind Speed, Solar Radiation, and Load Demands
- Author
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Junyi Yang, Jiangmin Bao, Yuhan Hou, Han Wu, Qiang Li, and Yue Yuan
- Subjects
Benders decomposition ,correlation ,DG hosting capacity ,regular vine ,Technology ,Physics ,QC1-999 - Abstract
Dependence of distributed generation (DG) outputs and load plays an essential role in renewable energy accommodation. This paper presents a novel DG hosting capacity (DGHC) evaluation method for distribution networks considering high-dimensional dependence relations among solar radiation, wind speed, and various load types (i.e., commercial, residential, and industrial). 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 maximum hosting capacity of each DG and its optimal allocation plan with different operational risks. Finally, a Benders decomposition algorithm is also employed to reduce computational burden. The proposed approaches are validated using a set of historical data from China. Results show dependence among different DGs and loads has significant impact on hosting capacity. Results also suggest using the R-vine model to capture dependence among distributed energy resources (DERs) and load. This finding provides useful advice for distribution networks in installing renewable energy generations.
- Published
- 2024
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