Self-powered TENG Sensor Based on Hybrid Energy: Tilt Angle and Wind Speed -Research on Dual Parameter sensing and Intelligent Fault Warning of Transmission Lines

Abstract

Due to the abnormal tilt or wind-induced galloping, the transmission lines may experience excessive sagging or even breakage, which directly endangers the safety and stability of the power grid. However, existing monitoring technologies are limited to sensing a single physical quantity, making it difficult to achieve multi-parameter monitoring and fusion analysis of transmission line faults. In complex environments, they face the limitations of single monitoring indicators and insufficient warning capabilities. Therefore, this paper proposed a wind-gravity driven self-powered triboelectric nanogenerator (WG-TENG) tilt and wind speed sensor method. By constructing a theoretical model for WG-TENG charge transfer and signal output, a mixed energy capture and integrated sensing design was developed. Based on these, experiments on dual-parameter self-powered sensing and intelligent fault warning for transmission lines were conducted by WG-TENG. The experimental results show that the WG-TENG measurement precision reaches ±0.5° in the tilt angle range of 0°-90°. The wind speed monitoring range is 3-15 m/s. The sensor has a sensitivity of 2 μA/(m/s) and can successfully monitor the real-time state of the transmission line tilt angle and wind speed, as well as provide risk warning. The tilt angle identification accuracy is 97.93%. The proposed mixed perception method in this study provides a new approach to building an efficient and durable grid disaster intelligent warning system, which is important for improving grid safety and intelligenc.