This paper describes a prototype power delivery system developed for high voltage electronic current transformer (ECT) that uses laser light to transfer power to and communicates with the primary converter. The desi...This paper describes a prototype power delivery system developed for high voltage electronic current transformer (ECT) that uses laser light to transfer power to and communicates with the primary converter. The design is based on optical-to-electrical power converters, solid-state diode lasers and optical fibers. Command signals are transmitted via the same up-fiber used to send power from secondary power supply to primary converter. The upward data transmission is completed during the brief interruption of power delivery without affecting steady power-supply. A simple comparator added to the primary converter can take the command data. Experimental results show that the fibers can provide reliable up-link for data transmission at 200 kb/s from the secondary to the primary converter. Based on the delivery system, the secondary converter can control three auxiliary channels to provide additional information. These monitoring channels are used in a time-multiplexing mode to provide information about the operation temperature, voltage and current at the remote unit for monitoring the ECT. This preventive maintenance or built-in test can increase reliability by giving early warning for necessary maintenance request.展开更多
This paper has an objective to show a developed quantitative criterion,based in two mathematical variables that explicit the deviation degree of a normal situation,applying simultaneously data from terminal impedances...This paper has an objective to show a developed quantitative criterion,based in two mathematical variables that explicit the deviation degree of a normal situation,applying simultaneously data from terminal impedances and frequency response.Based in more than 100-measured equipment,of different applications(step-up transformer,transmission transformer,etc.,),for a period of 10 years,the work presents some examples of practical application of this methodology in Brazilian Electrical System.展开更多
To address the limitations of traditional transformer health index(HI),such as high dependence on data integrity and inability to assist in diagnosing latent faults,this study proposes an HI prediction method based on...To address the limitations of traditional transformer health index(HI),such as high dependence on data integrity and inability to assist in diagnosing latent faults,this study proposes an HI prediction method based on dynamic Bayesian network(DBN).The method first constructs a DBN for characterising the health state indicator system of power transformers according to their structural composition and operational environmental conditions.Next,the entropy weight method and fuzzy membership function are employed to determine the prior probability tables between DBN nodes,whereas the logistic regression method is used to establish conditional probability tables.Finally,existing literature data and field measurement data are utilised to validate the proposed method.The results demonstrate that:(1)the developed DBN can not only effectively calculate the current HI of transformers but also predict HI values for different future time intervals and(2)it can evaluate the overall health state of transformers and identify potential faults in individual components based on node-specific HI values.Therefore,this method provides valuable support for operation and maintenance personnel in making informed decisions regarding maintenance strategies,batch retirement and replacement plans.展开更多
A novel extension diagnosis method was proposed for enhancing the diagnosis ability of the conventional dissolved gas analysis. Based on the extension theory a matter-element model was established for qualitatively an...A novel extension diagnosis method was proposed for enhancing the diagnosis ability of the conventional dissolved gas analysis. Based on the extension theory a matter-element model was established for qualitatively and quantitatively describing the fault diagnosis problem of power transformers. The degree of relation based on the dependent functions was employed to determine the nature and the grade of the faults in a transformer system. And the proposed method was verified with the experimental data. The results show that accuracy rate of the diagnosis method exceeds 90% and two kinds of faults can be detected at the same time.展开更多
Recently,a weighted fractional Fourier transform(WFRFT)based hybrid carrier(HC)system has been proposed,which can converge single-carrier(SC)and multi-carrier(MC)systems.The cost and power dissipation of analog compon...Recently,a weighted fractional Fourier transform(WFRFT)based hybrid carrier(HC)system has been proposed,which can converge single-carrier(SC)and multi-carrier(MC)systems.The cost and power dissipation of analog components often dominate in practical HC systems.Therefore,in this paper,we analyze the baseband HC signal characteristics,including average signal power,power spectral density(PSD),probability density function(PDF),peak-to-average power ratio(PAPR),and complementary cumulative distribution function(CCDF),using a continuous-time HC signal approximation method.Through theoretical analysis and simulation validation,it is proved that the approximation method does not change the average signal power,bandwidth and out-of-band emission(OOBE).The theoretical PDF expression of HC signal with the approximation method is then proposed.Furt her more,the PDF can also explain why the PAPR of baseband continuous-time HC signal is higher than that of discrete-time HC signal.The PAPR performance and the power amplifier(PA)efficiency of HC systems in different conditions are analyzed.Through the PDF analysis of HC signal envelope and the numerical computations of PAPR.it is shown that the approximation method can offer a precise characteristic description for HC signal,which can help to improve the system PAPR performance and the PA efficiency.展开更多
基金Project supported by the National Natural Science Foundation of China (Grant No.50447006)
摘要This paper describes a prototype power delivery system developed for high voltage electronic current transformer (ECT) that uses laser light to transfer power to and communicates with the primary converter. The design is based on optical-to-electrical power converters, solid-state diode lasers and optical fibers. Command signals are transmitted via the same up-fiber used to send power from secondary power supply to primary converter. The upward data transmission is completed during the brief interruption of power delivery without affecting steady power-supply. A simple comparator added to the primary converter can take the command data. Experimental results show that the fibers can provide reliable up-link for data transmission at 200 kb/s from the secondary to the primary converter. Based on the delivery system, the secondary converter can control three auxiliary channels to provide additional information. These monitoring channels are used in a time-multiplexing mode to provide information about the operation temperature, voltage and current at the remote unit for monitoring the ECT. This preventive maintenance or built-in test can increase reliability by giving early warning for necessary maintenance request.
摘要This paper has an objective to show a developed quantitative criterion,based in two mathematical variables that explicit the deviation degree of a normal situation,applying simultaneously data from terminal impedances and frequency response.Based in more than 100-measured equipment,of different applications(step-up transformer,transmission transformer,etc.,),for a period of 10 years,the work presents some examples of practical application of this methodology in Brazilian Electrical System.
基金supported by National Natural Science Foundation of China(Grant 52167018)Gansu Province University Industry Support Project(Grant 2025CYZ-018).
摘要To address the limitations of traditional transformer health index(HI),such as high dependence on data integrity and inability to assist in diagnosing latent faults,this study proposes an HI prediction method based on dynamic Bayesian network(DBN).The method first constructs a DBN for characterising the health state indicator system of power transformers according to their structural composition and operational environmental conditions.Next,the entropy weight method and fuzzy membership function are employed to determine the prior probability tables between DBN nodes,whereas the logistic regression method is used to establish conditional probability tables.Finally,existing literature data and field measurement data are utilised to validate the proposed method.The results demonstrate that:(1)the developed DBN can not only effectively calculate the current HI of transformers but also predict HI values for different future time intervals and(2)it can evaluate the overall health state of transformers and identify potential faults in individual components based on node-specific HI values.Therefore,this method provides valuable support for operation and maintenance personnel in making informed decisions regarding maintenance strategies,batch retirement and replacement plans.
摘要A novel extension diagnosis method was proposed for enhancing the diagnosis ability of the conventional dissolved gas analysis. Based on the extension theory a matter-element model was established for qualitatively and quantitatively describing the fault diagnosis problem of power transformers. The degree of relation based on the dependent functions was employed to determine the nature and the grade of the faults in a transformer system. And the proposed method was verified with the experimental data. The results show that accuracy rate of the diagnosis method exceeds 90% and two kinds of faults can be detected at the same time.
基金the National Natural Science Foundation of China(No.61671179)the National Basic Research Program of China(No.2013CB329003)the Funding of Science and Technology on Communication Networks Laboratory。
摘要Recently,a weighted fractional Fourier transform(WFRFT)based hybrid carrier(HC)system has been proposed,which can converge single-carrier(SC)and multi-carrier(MC)systems.The cost and power dissipation of analog components often dominate in practical HC systems.Therefore,in this paper,we analyze the baseband HC signal characteristics,including average signal power,power spectral density(PSD),probability density function(PDF),peak-to-average power ratio(PAPR),and complementary cumulative distribution function(CCDF),using a continuous-time HC signal approximation method.Through theoretical analysis and simulation validation,it is proved that the approximation method does not change the average signal power,bandwidth and out-of-band emission(OOBE).The theoretical PDF expression of HC signal with the approximation method is then proposed.Furt her more,the PDF can also explain why the PAPR of baseband continuous-time HC signal is higher than that of discrete-time HC signal.The PAPR performance and the power amplifier(PA)efficiency of HC systems in different conditions are analyzed.Through the PDF analysis of HC signal envelope and the numerical computations of PAPR.it is shown that the approximation method can offer a precise characteristic description for HC signal,which can help to improve the system PAPR performance and the PA efficiency.