Abstract
Due to the growing problem of global warming, C5F10O is promising to replace SF6 as an insulation medium in power equipment because of its low global warming potential and excellent insulation performance and thus has a wide application prospect in the electrical engineering field. Local over-thermal fault is one of the most severe faults in power equipment and has a close relationship with the characteristic decomposition components (CDCs). This paper is devoted to proposing an evaluation method for local over-thermal fault by analyzing CDCs. The discrete wavelet transformation method was adopted to recognize CDC (CF2, CF2CF2, COCF2, and CFCF3) from their variation curves, and the fault feature vector was extracted based on the analysis of frequency band energy. The back propaganda neural network optimized by the genetic algorithm was employed to evaluate the severity of local over-thermal fault with a high accuracy. This work can lay a theoretical basis for local over-thermal fault evaluation based on CDCs in environmentally friendly power equipment.
Highlights
SF6 is widely used as an arc-quenching and insulating medium in power equipment, but its global warming potential (GWP) is 23 500 and some of its decomposition products are poisonous.1,2 exploring SF6 candidates and developing environmentally friendly power equipment to reduce global warming and keep the safety of personnel and power systems have been hot topics in recent years
As the types and contents of decomposition components of C5F10O have a close relationship with the extent of local-thermal fault, the gas decomposition component analysis (DCA) method,3 which has been effectively used in partial discharge detection of power equipment,3–7 has great potential to be used in local-thermal fault evaluation
Ye9 studied the influence of O2 and temperature on the decomposition properties of the C4F7N/CO2/O2 mixture, and the results showed that characteristic decomposition components (CDCs) of COF2, C2N2, and C2F5CN can reflect the extent of local over-thermal fault
Summary
SF6 is widely used as an arc-quenching and insulating medium in power equipment, but its global warming potential (GWP) is 23 500 and some of its decomposition products are poisonous. exploring SF6 candidates and developing environmentally friendly power equipment to reduce global warming and keep the safety of personnel and power systems have been hot topics in recent years. As the types and contents of decomposition components of C5F10O have a close relationship with the extent of local-thermal fault, the gas decomposition component analysis (DCA) method, which has been effectively used in partial discharge detection of power equipment, has great potential to be used in local-thermal fault evaluation. DCA can be used effectively in insulation fault diagnosis in power equipment, an accurate method to evaluate the extent of local over-thermal fault in C5F10O insulated power equipment is seldom reported. The quantitative relationship between local over-thermal fault and C5F10O scitation.org/journal/adv decomposition components is not clear, and the existing technology is hard to acquire the real-time status information of power equipment, so it is difficult to accurately evaluate the local over-thermal fault
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