Key factor identification of over-voltage in renewable-rich distribution network based on spectral clustering

摘要

With the increasing penetration of distributed generations (DGs), the over-voltage problem has been occurred in distribution network. In this paper, a key factor identification method of over-voltage based on spectral clustering is proposed. Firstly, the basic theory and model of spectral clustering is introduce. Secondly, the identification method is presented based on stochastic case generation and spectral clustering. Finally, the case study is done to demonstrate the effectiveness of proposed method based on a real-world distribution network in Jinzhai, China.