Reliability Centered Weak Point Identification of Distribution Network

Abstract

The existing methods for identifying weak points of reliability of distribution network components mainly rely on traditional analytical methods to establish reliability tracking models, but this method is only suitable for simple radiant distribution networks. When the scale of the distribution network expands, this method becomes very lengthy. In order to fill this gap, this paper proposes a Monte-Carlo-based method for identifying weak points of distribution network components. Firstly, considering the topological structure and distribution information of the distribution network, the Monte Carlo method is used to calculate the system reliability index of the distribution network. Then, through the component reliability tracking analysis, the influence factors of each component on the system reliability index are obtained, and the weak points of the system are determined by the size of the influence factors. Finally, a typical low-voltage distribution system with 10 load nodes is analyzed, and the weak components of the distribution network are found. The improvement measures to improve the reliability of the system are given. By comparing the improvement of the system reliability index before and after the weak point is modified, the validity of the weak point identification is verified.