슬라이딩 윈도우 알고리즘 기반의 배전계통 토폴로지 추정에 관한 연구

Abstract

This paper presents a method for estimating distribution network topology based on a sliding window algorithm. As the grid connection of renewable energy sources increases, accurate network topology and line parameters have become very important information for precise system control and management in distribution systems. However, unlike the high-voltage system, the low-voltage distribution system has limited information on system parameters and topology. In this paper, a novel method to estimate network topology and line parameters using measurement data from smart meters such as AMI is proposed. The method determines network topology according to the change rate of the estimated line parameters for sequential data windows. The case study results demonstrate that the proposed topology estimation method outperforms existing methods based on Pearson