Fast Iterative Method for Hosting Capacity Analysis in Distribution Systems

The increasing integration of distributed energy resources (DERs), such as photovoltaics, into distribution systems has heightened the need for accurate hosting capacity analysis. To address this need, we propose a hosting capacity assessment method ensuring accuracy and computational efficiency with high granularity. To enhance computational efficiency while maintaining accuracy, we propose a Fast Iterative Method, which serves as an alternative to the straightforward Full Iterative Method. The proposed approach integrates Reference, Bisection, and Newton Methods into a hybrid framework, achieving a remarkable reduction in computation time. To validate its effectiveness, we applied the proposed method to real Korean distribution networks. The results confirm that our method maintains the same accuracy level as the Full Iterative Method while significantly reducing computational time, making it suitable for large-scale system applications.