Abstract
Insulating oil condition monitoring is one of the important ways of ensuring stable operation of power system, however, the existing detection methods can't achieve real-time online detection. In this paper, a tubular oil solid triboelectric nanogenerator is designed and a self-powered real-time online sensing system for insulating oil condition is constructed. The output performance characterization platform was built, which can realize the accurate perception of pA level tiny current and meet the measurement accuracy of the output signal of oil-solid contact electrification. We tested the influence of oil flow rate on output performance, and found that the output current is approximately proportional to the flow rate in the range of 100–500 ml/min. Finally, the sensitivity of the sensor system is verified by the micro-water response test results, and the detection accuracy can reach 10 ppm. Relevant research results are of great significance for the construction of micro-water sensing system in insulating oil and the improvement of intelligent operation and maintenance level of transformer.
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Acknowledgements
This work was supported by the science and technology project of China Southern Power Grid (Grant number YNKJXM20222118, YNKJXM20222131, YNKJXM20222043).
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Tan, X. et al. (2024). Self-Powered Insulating Oil Condition Monitoring System Based on Oil-Solid Contact Electrification. In: Dong, X., Cai, L. (eds) The Proceedings of 2023 4th International Symposium on Insulation and Discharge Computation for Power Equipment (IDCOMPU2023). IDCOMPU 2023. Lecture Notes in Electrical Engineering, vol 1100. Springer, Singapore. https://doi.org/10.1007/978-981-99-7393-4_45
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DOI: https://doi.org/10.1007/978-981-99-7393-4_45
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