Data-Driven Comprehensive Evaluation Model Based on the Radar Chart for the Operating State of XLPE Cables

Abstract

The operating condition of cross-linked polyethylene (XLPE) cables is related to the safe and stable operation of the power system. This paper proposes a data-driven comprehensive evaluation model based on the radar chart for the operating state of XLPE cables. Aiming at the multi-dimensional characteristics of XLPE power cables, a comprehensive evaluation method based on radar chart features is established. Then this artificial studied the feature sorting of the radar chart, and an optimal ranking method of XLPE power cable graph features combining genetic algorithm and historical data is proposed. The experimental results show that the method proposed in this paper can effectively improve the accuracy of the comprehensive evaluation of the operating status of the XLPE cables.