Rapid assessment of distribution network equipment status based on fuzzy decision making

Abstract

Voltage instability, power imbalance, and unreliability are caused mainly by equipment failure in the distribution system, so it is important to accurately and quickly assess the status of distribution network equipment. However, it is challenging to detect equipment failures, the traditional XGBoost algorithm is unsuitable because some evaluation indices are incompetent to quantify. To address these issues, we propose a fast evaluation method for the state of electrical distribution equipment based on fuzzy decision-making. Firstly, key indices are selected from the multi-source equipment information. Secondly, this paper constructs the mapping between key indices and equipment status scores by combining the fuzzy iterative method and the XGBoost algorithm. Finally, the proposed assessment model is confirmed by using the distribution transformers as an example. The result shows that the proposed multi-source information assessment method can quickly and accurately determine the operation status of electrical distribution equipment, and the proposed method has better accuracy than the traditional method.