Assessment Model for Distributed Wind Generation Hosting Capacity Considering Complex Spatial Correlations  

作　　者：Han Wu Yue Yuan Junpeng Zhu Yundai Xu 

机构地区：[1]IEEE [2]Nanjing Institute of Technology,Nanjing 211167,China [3]College of Energy and Electrical Engineering, Hohai University,Nanjing 211100,China

出　　处：《Journal of Modern Power Systems and Clean Energy》2022年第5期1194-1206,共13页现代电力系统与清洁能源学报（英文）

基　　金：supported by the National Key Research and Development Program of China (No. 2016YFB0900100);High-level Talents Introduction&Research Start-up Fund Program of Nanjing Institute of Technology (No.YKJ202134)。

摘　　要：To facilitate the large-scale integration of distributed wind generation(DWG), the uncertainty of DWG outputs needs to be quantified, and the maximum DWG hosting capacity(DWGHC) of distribution systems must be assessed. However, the structure of the high-dimensional nonlinear dependencies and the abnormal marginal distributions observed in geographically dispersed DWG outputs lead to the increase of the complexity of the uncertainty analysis. To address this issue,this paper proposes a novel assessment model for DWGHC that considers the spatial correlations between distributed generation(DG) outputs. In our method, an advanced dependence modeling approach called vine copula is applied to capture the high-dimensional correlation between geographically dispersed DWG outputs and generate a sufficient number of correlated scenarios. To avoid an overly conservative hosting capacity in some extreme scenarios, a novel chance-constrained assessment model for DWGHC is developed to determine the optimal sizes and locations of DWG for a given DWG curtailment probability. To handle the computational challenges associated with large-scale scenarios, a bilinear variant of Benders decomposition(BD) is employed to solve the chance-constrained problem.The effectiveness of the proposed method is demonstrated using a typical 38-bus distribution system in eastern China.

关 键 词：Correlation Benders decomposition(BD) distributed wind generation(DWG) hosting capacity vine copula 

分 类 号：TM614[电气工程—电力系统及自动化]