A transformer operation risk management and early warning system based on online monitoring

Abstract

The present invention relates to the field of transformer control technology, and in particular to a transformer operation risk control and early warning system based on online monitoring, comprising a transformer control and early warning platform, an operation information unit, a dynamic insulation unit, a potential obstruction unit, a comprehensive impact unit, an operation control unit and a management response unit; under the premise that the oil inside the transformer is normal, the present invention performs an impact level analysis from two dimensions of the transformer's own interference and internal and external environmental interference, which helps to improve the comprehensiveness of the analysis data and the accuracy of the analysis results, and performs a time period operation risk assessment analysis on the transformer's operation status data in a manner of information feedback, so as to accurately analyze the fault risk situation during the transformer operation process, and by analyzing the actual operation of the transformer, it helps to timely control the transformer operation risk, thereby improving the operation stability, safety and early warning timeliness of the transformer.

Description

Technical Field

[0001] The present invention relates to the technical field of transformer control, and in particular to a transformer operation risk control and early warning system based on online monitoring. Background Art

[0002] A transformer is an electrical device that uses the principle of electromagnetic induction to change AC voltage, current and impedance. It is mainly composed of an iron core (or magnetic core) and a coil. The coil has two or more windings, of which the winding connected to the power supply is called the primary coil, and the remaining windings are called secondary coils. By changing the turns ratio of the windings, the voltage can be transformed, thereby increasing or decreasing the voltage.

[0003] Transformers are basic equipment for power transmission and distribution, and are widely used in industries such as industry, agriculture, transportation, and urban communities. However, in the existing transformer operation monitoring and alarm system technology, it is impossible to analyze the oil and liquid conditions inside the transformer, thereby increasing the risk of abnormal transformer operation. It is also impossible to rationally manage the oil and liquid inside the transformer, and it is impossible to analyze the transformer's own interference and internal and external environmental interference, resulting in a single transformer analysis data and a large deviation in the results, which reduces the transformer's management and control efficiency and the timeliness of early warning, and is not conducive to the safe operation of the transformer.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a transformer operation risk control and early warning system based on online monitoring to solve the above-mentioned technical defects. The present invention analyzes from the perspective of the oil state inside the transformer so as to rationally manage the oil inside the transformer according to the information feedback. On the premise that the oil inside the transformer is normal, the impact level analysis is performed from the two dimensions of the transformer's own interference and internal and external environmental interference, so as to combine the transformer's own interference and internal and external environmental interference for analysis, which helps to improve the comprehensiveness of the analysis data and the accuracy of the analysis results. The operation risk assessment analysis of the transformer's operation status data is performed in a time period by means of information feedback, so as to accurately analyze the fault risk situation during the operation of the transformer. By analyzing the actual operation of the transformer, it is helpful to timely control the transformer operation risk, improve the transformer operation supervision effect and early warning effect, and rationally adjust the transformer according to the information feedback, thereby improving the operation stability and safety of the transformer.

[0006] The object of the present invention can be achieved by the following technical solutions: A transformer operation risk control and early warning system based on online monitoring, comprising a transformer control and management platform, an operation information unit, a dynamic insulation unit, a potential obstruction unit, a comprehensive impact unit, an operation control unit, and a management response unit;

[0007] The operation information unit is used to collect the transformer's own interference data and internal and external environment data, the self-interference data includes a parts rejection value and an interference risk value, and the internal and external environment data includes environmental parameters and temperature zone values;

[0008] The potential obstruction unit is used to analyze the obstruction operation risk level of its own interference data and send the obtained interference level GR to the operation control unit;

[0009] The comprehensive impact unit is used to perform comprehensive interference supervision assessment and analysis on internal and external environmental data, and send the obtained environmental impact level HY to the operation control unit;

[0010] The dynamic insulation unit is used to collect oil insulation data inside the transformer, the oil insulation data includes oil temperature change curve and oil pressure change curve, and conducts operation insulation risk safety supervision analysis on the oil insulation data, and discriminates the oil temperature span value and the oil pressure span value to obtain normal signals and management signals;

[0011] The operation control unit is used to respond to normal signals, collect the operation status data of the transformer, the operation status data represents the actual operation parameters and the actual performance parameters, and perform time period operation risk assessment analysis on the operation status data, perform discriminant analysis on the operation risk assessment coefficient F, and send the obtained risk signal to the management response unit.

[0012] Preferably, the risk level classification and analysis process of the potential obstruction unit is as follows:

[0013] A monitoring cycle is set and set as a time threshold, and a parts rejection value of the transformer within the time threshold is obtained. The parts rejection value indicates the proportion of the number of half-new risk parts in the total number of replaced parts. Half-new parts indicate parts that have been opened and used more than once. Half-new risk parts indicate that the proportion of the time corresponding to the operating temperature exceeding the preset operating temperature during the input time of half-new parts is greater than the half-new parts corresponding to the preset threshold. The input time indicates the time from the time when the half-new parts are installed on the transformer and start to be used to the current time;

[0014] The proportion of the number of ports whose port oxidation area is greater than the preset port oxidation area in the total number of line ports inside the transformer within the time threshold is obtained, and set as the interference risk value, the maximum resistance change value in the discharge risk value is obtained, and the maximum resistance change value in the discharge risk value is set as the discharge risk value.

[0015] Preferably, the part rejection value and the discharge risk value are compared and analyzed with the preset part rejection value threshold and the preset discharge risk value threshold that are recorded and stored internally:

[0016] If the part rejection value is less than the preset part rejection value threshold, and the discharge risk value is less than the preset discharge risk value threshold, a first-level interference signal is generated;

[0017] If the part rejection value is less than the preset part rejection value threshold, and the discharge risk value is greater than or equal to the preset discharge risk value threshold, or the part rejection value is greater than or equal to the preset part rejection value threshold, and the discharge risk value is less than the preset discharge risk value threshold, a secondary interference signal is generated;

[0018] If the part rejection value is greater than or equal to the preset part rejection value threshold, and the discharge risk value is greater than or equal to the preset discharge risk value threshold, a three-level interference signal is generated, and the first-level interference signal, the second-level interference signal and the third-level interference signal are set to interference level GR, GR=1, 2, 3.

[0019] Preferably, the comprehensive interference supervision assessment and analysis process of the comprehensive impact unit is as follows:

[0020] S1: Divide the time threshold into o sub-time periods, where o is a natural number greater than zero. With the transformer as the center and R1 as the radius, the area enclosed by the circle drawn around the transformer is set as the environmental interference area, and the environmental parameters of the environmental interference area where the transformer is located in each sub-time period are obtained. The environmental parameters include the maximum temperature change, the maximum humidity change, and the maximum dust concentration change. The number of environmental parameters corresponding to the parameters greater than the preset threshold is set as the parameter interference value, and the ratio of the number of sub-time periods corresponding to the parameter interference value greater than the preset parameter interference value threshold to the total number of sub-time periods is set as the parameter interference rate;

[0021] S2: Obtain the temperature zone value inside the transformer in each sub-time period. The temperature zone value indicates the proportion of the area of ​​the total area inside the transformer where the time length corresponding to the temperature value exceeding the preset temperature value is greater than the preset time length. The parameter interference rate and temperature zone value are labeled CG and WD respectively.

[0022] S3: Obtain the environmental interference assessment coefficient H according to the formula, and compare and analyze the environmental interference assessment coefficient H with the preset environmental interference assessment coefficient threshold value recorded and stored internally:

[0023] If the environmental interference assessment coefficient H is less than the preset environmental interference assessment coefficient threshold, a low-level environmental signal is generated;

[0024] If the environmental interference assessment coefficient H is greater than or equal to the preset environmental interference assessment coefficient threshold, a high-level environmental signal is generated, and the low-level environmental signal and the high-level environmental signal are set to the environmental impact level HY, HY=1, 2.

[0025] Preferably, the operational insulation risk safety supervision analysis process of the dynamic insulation unit is as follows:

[0026] Obtain the oil temperature change curve and the oil pressure change curve inside the transformer within the time threshold, obtain the corresponding oil temperature value and oil pressure value from the oil temperature change curve and the oil pressure change curve at intervals of t1, and construct sets A1 and B1 of oil temperature values ​​and oil pressure values ​​respectively; obtain the corresponding oil temperature value and oil pressure value from the oil temperature change curve and the oil pressure change curve at intervals of t2, and construct sets A2 and B2 of oil temperature values ​​and oil pressure values ​​respectively; obtain the corresponding oil temperature value and oil pressure value from the oil temperature change curve and the oil pressure change curve at intervals of tg, and construct sets Ag and Bg of oil temperature values ​​and oil pressure values ​​respectively, where g is a natural number greater than zero; obtain the discrete coefficients of sets A1…Ag and B1…Bg within the time threshold, and set them as oil temperature evaluation coefficients YW1…YWg and oil pressure evaluation coefficients YY1…YYg respectively;

[0027] The maximum and minimum values ​​of the oil temperature evaluation coefficients YW1…YWg and the oil pressure evaluation coefficients YY1…YYg are obtained respectively, and are set as YWmax, YWmin, YYmax and YYmin respectively. The difference between YWmax and YWmin and the difference between YYmax and YYmin are set as the oil temperature span value and the oil pressure span value respectively. The oil temperature span value and the oil pressure span value are compared and analyzed with the preset oil temperature span value threshold and the preset oil pressure span value threshold that are recorded and stored internally:

[0028] If the oil temperature span value is less than the preset oil temperature span value threshold, and the oil pressure span value is less than the preset oil pressure span value threshold, a normal signal is generated;

[0029] If the oil temperature span value is greater than or equal to a preset oil temperature span value threshold, or the oil pressure span value is greater than or equal to a preset oil pressure span value threshold, a management signal is generated.

[0030] Preferably, the period operation risk assessment and analysis process of the operation control unit is as follows:

[0031] T1: Obtain the actual operating parameters of the transformer within the time threshold, including operating voltage, operating power, and operating current, obtain the number of deviations of the values ​​corresponding to the actual operating parameters from the set range, and set it as the deviation risk value PL;

[0032] T2: Obtain the actual performance parameters of the transformer within the time threshold, which represent the operating vibration amplitude and operating loudness value, obtain the maximum value of the duration corresponding to the value of the actual performance parameter exceeding the preset threshold, and set it as the abnormal performance value YB;

[0033] T3: The operation risk assessment coefficient F is obtained according to the formula, and the operation risk assessment coefficient F is compared and analyzed with the preset operation risk assessment coefficient threshold value stored in the internal input:

[0034] If the ratio between the operation risk assessment coefficient F and the preset operation risk assessment coefficient threshold is less than 1, no signal is generated;

[0035] If the ratio between the operation risk assessment coefficient F and the preset operation risk assessment coefficient threshold is greater than or equal to 1, a risk signal is generated.

[0036] The beneficial effects of the present invention are as follows:

[0037] (1) The present invention analyzes from the perspective of the oil state inside the transformer so as to rationally manage the oil inside the transformer according to the information feedback, so as to reduce the influence of the oil state on the operation stability of the transformer. On the premise that the oil inside the transformer is normal, the invention performs an impact level analysis from two dimensions: the transformer's own interference and the internal and external environmental interference. That is, the self-interference data is analyzed for the risk level of hindering operation and the internal and external environmental data is analyzed for comprehensive interference supervision and assessment, so as to understand the influence of the transformer's own interference and the internal and external environmental interference on the transformer operation, so as to analyze the transformer's own interference and the internal and external environmental interference, which is helpful to improve the comprehensiveness of the analysis data and the accuracy of the analysis results.

[0038] (2) The present invention conducts time period operation risk assessment and analysis on the transformer operation status data by means of information feedback, so as to accurately analyze the fault risk situation during the transformer operation process. By analyzing the actual operation of the transformer, it is helpful to timely control the transformer operation risk, improve the transformer operation supervision and early warning effect, and make reasonable adjustments to the transformer according to the information feedback, thereby improving the transformer operation stability and safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The present invention will be further described below in conjunction with the accompanying drawings;

[0040] Figure 1 It is a flowchart of the system of the present invention;

[0041] Figure 2 It is a local analysis reference diagram of the second embodiment of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] Embodiment 1:

[0044] See also Figure 1 to Figure 2 As shown, the present invention is a transformer operation risk control and early warning system based on online monitoring, including a transformer control and management platform, an operation information unit, a dynamic insulation unit, a potential obstruction unit, a comprehensive impact unit, an operation control unit and a management response unit, the transformer control and management platform is in a one-way communication connection with the operation information unit and the dynamic insulation unit, the operation information unit is in a one-way communication connection with the potential obstruction unit and the comprehensive impact unit, the potential obstruction unit and the comprehensive impact unit are in a one-way communication connection with the operation control unit, the dynamic insulation unit is in a one-way communication connection with the operation control unit and the management response unit, and the operation control unit is in a one-way communication connection with the management response unit;

[0045] When the transformer control platform generates an operation and management instruction, the operation and management instruction is sent to the operation information unit and the dynamic insulation unit. After receiving the operation and management instruction, the operation information unit immediately collects the transformer's own interference data and internal and external environmental data. The self-interference data includes the parts rejection value and the interference risk value, and the internal and external environmental data includes the environmental parameters and the temperature zone value. The self-interference data and the internal and external environmental data are sent to the potential obstruction unit and the comprehensive impact unit respectively. After receiving the self-interference data, the potential obstruction unit immediately analyzes the self-interference data for the obstruction operation risk level to understand the transformer's own potential risk level of obstructing stable operation, so as to increase the analysis data range and provide data support for subsequent analysis. The specific obstruction operation risk level analysis process is as follows:

[0046] Set a monitoring cycle and set it as a time threshold, and obtain the parts rejection value of the transformer within the time threshold. The parts rejection value indicates the proportion of the number of semi-new risk parts in the total number of replaced parts. Semi-new parts indicate parts that have been opened and used more than once. Semi-new risk parts indicate that the proportion of the time corresponding to the operating temperature exceeding the preset operating temperature during the input time of semi-new parts is greater than the semi-new parts corresponding to the preset threshold. The input time indicates the time from the time when the semi-new parts are installed on the transformer and start to be used to the current time. It should be noted that the larger the value of the parts rejection value, the greater the potential risk of abnormal operation of the transformer, and the greater the risk of being affected by components.

[0047] The proportion of the number of ports whose port oxidation area is greater than the number of ports corresponding to the preset port oxidation area in the total number of line ports inside the transformer within the time threshold is obtained, and it is set as the interference risk value, and the maximum resistance change value in the discharge risk value is obtained, and the maximum resistance change value in the discharge risk value is set as the discharge risk value. It should be noted that the larger the value of the discharge risk value, the greater the potential risk of abnormal operation of the transformer;

[0048] Compare and analyze the part rejection value and discharge risk value with the preset part rejection value threshold and preset discharge risk value threshold that are stored internally:

[0049] If the part rejection value is less than the preset part rejection value threshold, and the discharge risk value is less than the preset discharge risk value threshold, a first-level interference signal is generated;

[0050] If the part rejection value is less than the preset part rejection value threshold, and the discharge risk value is greater than or equal to the preset discharge risk value threshold, or the part rejection value is greater than or equal to the preset part rejection value threshold, and the discharge risk value is less than the preset discharge risk value threshold, a secondary interference signal is generated;

[0051] If the part rejection value is greater than or equal to the preset part rejection value threshold, and the discharge risk value is greater than or equal to the preset discharge risk value threshold, a three-level interference signal is generated, wherein the interference degrees corresponding to the first-level interference signal, the second-level interference signal and the third-level interference signal are increased in sequence, and the first-level interference signal, the second-level interference signal and the third-level interference signal are set to the interference level GR, GR=1, 2, 3, when GR=1, the interference level GR represents the first-level interference signal, when GR=2, the interference level GR represents the second-level interference signal, when GR=3, the interference level GR represents the third-level interference signal, and then the interference level GR is used to reflect the interference situation corresponding to the operation of the transformer, so as to analyze in combination with the interference level GR, so as to improve the accuracy of the transformer operation supervision analysis results, so as to reasonably monitor and manage the transformer, and send the interference level GR to the operation control unit;

[0052] After receiving the internal and external environmental data, the comprehensive impact unit immediately conducts comprehensive interference supervision assessment and analysis on the internal and external environmental data to understand the risk level of the transformer affected by the environment so as to conduct analysis in combination with the environmental interference. The specific comprehensive interference supervision assessment and analysis process is as follows:

[0053] The time threshold is divided into o sub-time periods, where o is a natural number greater than zero. The transformer is taken as the center of the circle and R1 is the radius. The area enclosed by the circle drawn around the transformer is set as the environmental interference area. The environmental parameters of the environmental interference area where the transformer is located in each sub-time period are obtained. The environmental parameters include parameters such as the maximum temperature change, the maximum humidity change, and the maximum dust concentration change. The number of environmental parameters corresponding to the parameters greater than the preset threshold is set as the parameter interference value. The ratio of the number of sub-time periods corresponding to the parameter interference value greater than the preset parameter interference value threshold to the total number of sub-time periods is set as the parameter interference rate. It should be noted that the larger the value of the parameter interference rate, the greater the risk of the environmental interference area environment affecting the transformer operation.

[0054] The temperature zone value inside the transformer in each sub-time period is obtained. The temperature zone value indicates the proportion of the area corresponding to the time length corresponding to the temperature value exceeding the preset temperature value in the total area inside the transformer. It should be noted that the larger the value of the temperature zone value, the greater the risk of the environmental interference area environment affecting the operation of the transformer. The parameter interference rate and temperature zone value are labeled CG and WD respectively.

[0055] According to the formula The environmental interference assessment coefficient is obtained, where a1 and a2 are preset proportional factor coefficients of the parameter interference rate and the temperature zone value, respectively. The proportional factor coefficient is used to correct the deviation of various parameters in the formula calculation process, so as to make the calculation result more accurate. A3 is the preset correction factor coefficient. A1, a2 and a3 are all greater than zero. H is the environmental interference assessment coefficient. The environmental interference assessment coefficient H is compared and analyzed with the preset environmental interference assessment coefficient threshold value stored in the internal input:

[0056] If the environmental interference assessment coefficient H is less than the preset environmental interference assessment coefficient threshold, a low-level environmental signal is generated;

[0057] If the environmental interference assessment coefficient H is greater than or equal to the preset environmental interference assessment coefficient threshold, a high-level environmental signal is generated, wherein the environmental interference degrees corresponding to the low-level environmental signal and the high-level environmental signal increase successively, and the low-level environmental signal and the high-level environmental signal are set to environmental impact levels HY, HY=1, 2, when HY=1, the environmental impact level HY represents a low-level environmental signal, when HY=2, the environmental impact level HY represents a high-level environmental signal, and then the environmental impact level HY is used to reflect the environmental interference situation corresponding to the operation of the transformer, so as to analyze it in combination with the environmental impact level HY, so as to improve the accuracy of the transformer operation supervision analysis results, so as to reasonably monitor and manage the transformer, and send the environmental impact level HY to the operation control unit.

[0058] Embodiment 2:

[0059] After receiving the operation and management instruction, the dynamic insulation unit immediately collects the oil insulation data inside the transformer, including the oil temperature change curve and the oil pressure change curve, and performs operation insulation risk safety supervision analysis on the oil insulation data to determine whether the oil inside the transformer is normal, so as to timely replace and manage the oil inside the transformer to reduce the impact of the oil on the operation of the transformer. The specific operation insulation risk safety supervision analysis process is as follows:

[0060] The oil temperature change curve and the oil pressure change curve inside the transformer within the time threshold are obtained, and the corresponding oil temperature value and oil pressure value are obtained from the oil temperature change curve and the oil pressure change curve at intervals of t1, and sets A1 and B1 of oil temperature value and oil pressure value are constructed respectively. The corresponding oil temperature value and oil pressure value are obtained from the oil temperature change curve and the oil pressure change curve at intervals of t2, and sets A2 and B2 of oil temperature value and oil pressure value are constructed respectively. Similarly, the corresponding oil temperature value and oil pressure value are obtained from the oil temperature change curve and the oil pressure change curve at intervals of tg, and sets Ag and Bg of oil temperature value and oil pressure value are constructed respectively, where g is a natural number greater than zero. The discrete coefficients of sets A1…Ag and B1…Bg within the time threshold are obtained, and they are set as oil temperature evaluation coefficients YW1…YWg and oil pressure evaluation coefficients YW1…YWg and YW1…YWg, respectively. YY1…YYg, respectively obtain the maximum and minimum values ​​of the oil temperature evaluation coefficients YW1…YWg and the oil pressure evaluation coefficients YY1…YYg, and set them as YWmax, YWmin, YYmax and YYmin, respectively. Set the difference between YWmax and YWmin and the difference between YYmax and YYmin as the oil temperature span value and the oil pressure span value, respectively. It should be noted that t1, t2…tg are not equal. The oil temperature span value and the oil pressure span value are two influencing parameters reflecting the oil state inside the transformer. The larger the values ​​of the oil temperature span value and the oil pressure span value, the greater the risk of transformer failure. The oil in the transformer is not only an insulating medium, but also a heat transfer medium. If the oil quality is poor or there are impurities in the oil, the heat transfer performance of the oil will decrease, thereby causing the transformer to overheat.

[0061] Compare and analyze the oil temperature span value and the oil pressure span value with the preset oil temperature span value threshold and the preset oil pressure span value threshold that are stored internally:

[0062] If the oil temperature span value is less than the preset oil temperature span value threshold, and the oil pressure span value is less than the preset oil pressure span value threshold, a normal signal is generated and sent to the operation control unit;

[0063] If the oil temperature span value is greater than or equal to the preset oil temperature span value threshold, or the oil pressure span value is greater than or equal to the preset oil pressure span value threshold, a management signal is generated and sent to the management response unit. After receiving the management signal, the management response unit immediately displays the preset warning text corresponding to the management signal, that is, the preset warning text corresponding to the management signal is "oil management", so as to rationally manage the oil inside the transformer according to the information feedback, so as to reduce the risk of abnormal operation of the transformer and improve the operation stability of the transformer;

[0064] After receiving the interference level GR, environmental impact level HY and normal signal, the operation control unit immediately collects the operation status data of the transformer. The operation status data represents the actual operation parameters and actual performance parameters, and performs time period operation risk assessment and analysis on the operation status data. By analyzing the actual operation of the transformer, the fault risk situation during the operation of the transformer can be accurately analyzed so as to carry out reasonable control. The specific time period operation risk assessment and analysis process is as follows:

[0065] The actual operating parameters of the transformer within the time threshold are obtained, including operating voltage, operating power, operating current, etc. The number of deviations of the values ​​corresponding to the actual operating parameters from the set range is obtained, and the deviation is set as the deviation risk value. It should be noted that the larger the deviation risk value, the greater the risk of transformer operation failure;

[0066] The actual performance parameters of the transformer within the time threshold are obtained. The actual performance parameters represent the operating vibration amplitude, operating loudness value, etc. The maximum value of the duration corresponding to the value of the actual performance parameter exceeding the preset threshold is obtained, and it is set as the abnormal performance value. It should be noted that the larger the value of the abnormal performance value, the greater the risk of transformer operation failure. The deviation risk value and the abnormal performance value are labeled PL and YB respectively;

[0067] According to the formula The operation risk assessment coefficient is obtained, wherein f1, f2, f3 and f4 are respectively the preset weight factor coefficients of the deviation risk value, the abnormal performance value, the interference level and the environmental impact level, f5 is the preset fault tolerance factor coefficient, f1, f2, f3, f4 and f5 are all greater than zero, F is the operation risk assessment coefficient, the size of the coefficient is a specific value obtained by quantifying each parameter, which is convenient for subsequent comparison. The size of the coefficient depends on the amount of sample data and the preliminary setting of the corresponding coefficient for each group of sample data by technicians in this field, as long as it does not affect the proportional relationship between the parameter and the quantified value, the operation risk assessment coefficient F is compared with the preset operation risk assessment coefficient threshold value entered and stored internally for analysis:

[0068] If the ratio between the operation risk assessment coefficient F and the preset operation risk assessment coefficient threshold is less than 1, no signal is generated;

[0069] If the ratio between the operation risk assessment coefficient F and the preset operation risk assessment coefficient threshold is greater than or equal to 1, a risk signal is generated and sent to the management response unit. After receiving the risk signal, the management response unit immediately performs the preset warning operation corresponding to the risk signal, so as to adjust the transformer management and control according to the information feedback, so as to reduce the risk of abnormal operation of the transformer and improve the operation stability of the transformer;

[0070] In the embodiment of the present invention, the actual operating parameters of the transformer may include but are not limited to: operating voltage, operating power, and operating current, and the actual performance parameters of the transformer may include but are not limited to: operating vibration amplitude and operating loudness value. It can be understood that this example is only used to illustrate the actual operating parameters and actual performance parameters of the transformer. In the actual application process, the actual operating parameters and actual performance parameters of the transformer obtained can be preset according to actual needs, and the server can be preset to obtain different actual operating parameters and actual performance parameters for different transformers;

[0071] In summary, the present invention analyzes from the perspective of the oil state inside the transformer so as to rationally manage the oil inside the transformer according to the information feedback, so as to reduce the impact of the oil state on the operating stability of the transformer. On the premise that the oil inside the transformer is normal, the impact level analysis is performed from the two dimensions of the transformer's own interference and internal and external environmental interference, that is, the self-interference data is analyzed for the risk level of hindering operation and the internal and external environmental data is analyzed for comprehensive interference supervision and assessment, so as to understand the impact of the transformer's own interference and internal and external environmental interference on the transformer operation, so as to combine the transformer's own interference and internal and external environmental interference for analysis, which helps to improve the comprehensiveness of the analysis data and the accuracy of the analysis results, and the transformer's operating state data is analyzed for period operation risk assessment by means of information feedback, so as to accurately analyze the fault risk during the operation of the transformer, and by analyzing the actual operation of the transformer, it is helpful to timely control the transformer operation risk, improve the transformer operation supervision effect and early warning effect, and rationally adjust the transformer according to the information feedback, thereby improving the transformer operation stability and safety.

[0072] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0073] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A transformer operation risk management and early warning system based on online monitoring, characterized in that: It includes transformer control platform, operation information unit, dynamic insulation unit, potential obstruction unit, comprehensive impact unit, operation control unit and management response unit; The operation information unit is used to collect the transformer's own interference data and internal and external environment data, the self-interference data includes a parts rejection value and an interference risk value, and the internal and external environment data includes environmental parameters and temperature zone values; The potential obstruction unit is used to analyze the obstruction operation risk level of its own interference data and send the obtained interference level GR to the operation control unit; The comprehensive impact unit is used to perform comprehensive interference supervision assessment and analysis on internal and external environmental data, and send the obtained environmental impact level HY to the operation control unit; The dynamic insulation unit is used to collect oil insulation data inside the transformer, the oil insulation data includes oil temperature change curve and oil pressure change curve, and conducts operation insulation risk safety supervision analysis on the oil insulation data, and discriminates the oil temperature span value and the oil pressure span value to obtain normal signals and management signals; The operation control unit is used to respond to normal signals, collect the operation status data of the transformer, the operation status data represents the actual operation parameters and the actual performance parameters, and perform period operation risk assessment analysis on the operation status data, perform discriminant analysis on the operation risk assessment coefficient F, and send the obtained risk signal to the management response unit; The risk level analysis process of the potential obstruction unit is as follows: A monitoring cycle is set and set as a time threshold, and a parts rejection value of the transformer within the time threshold is obtained. The parts rejection value indicates the proportion of the number of half-new risk parts in the total number of replaced parts. Half-new parts indicate parts that have been opened and used more than once. Half-new risk parts indicate that the proportion of the time corresponding to the operating temperature exceeding the preset operating temperature during the input time of half-new parts is greater than the half-new parts corresponding to the preset threshold. The input time indicates the time from the time when the half-new parts are installed on the transformer and start to be used to the current time; Obtain the proportion of the number of ports whose port oxidation area is greater than the preset port oxidation area in the total number of line ports inside the transformer within the time threshold, and set it as the interference risk value, obtain the maximum resistance change value in the discharge risk value, and set the maximum resistance change value in the discharge risk value as the discharge risk value; The part rejection value and the discharge risk value are compared and analyzed with the preset part rejection value threshold and the preset discharge risk value threshold that are recorded and stored internally: If the part rejection value is less than the preset part rejection value threshold, and the discharge risk value is less than the preset discharge risk value threshold, a first-level interference signal is generated; If the part rejection value is less than the preset part rejection value threshold, and the discharge risk value is greater than or equal to the preset discharge risk value threshold, or the part rejection value is greater than or equal to the preset part rejection value threshold, and the discharge risk value is less than the preset discharge risk value threshold, a secondary interference signal is generated; If the part rejection value is greater than or equal to the preset part rejection value threshold, and the discharge risk value is greater than or equal to the preset discharge risk value threshold, a three-level interference signal is generated, and the first-level interference signal, the second-level interference signal, and the third-level interference signal are set as interference levels GR, GR=1, 2, 3; The comprehensive interference supervision assessment and analysis process of the comprehensive impact unit is as follows: S1: Divide the time threshold into o sub-time periods, where o is a natural number greater than zero. With the transformer as the center and R1 as the radius, the area enclosed by the circle drawn around the transformer is set as the environmental interference area, and the environmental parameters of the environmental interference area where the transformer is located in each sub-time period are obtained. The environmental parameters include the maximum temperature change, the maximum humidity change, and the maximum dust concentration change. The number of environmental parameters corresponding to the parameters greater than the preset threshold is set as the parameter interference value, and the ratio of the number of sub-time periods corresponding to the parameter interference value greater than the preset parameter interference value threshold to the total number of sub-time periods is set as the parameter interference rate; S2: Obtain the temperature zone value inside the transformer in each sub-time period. The temperature zone value indicates the proportion of the area of ​​the total area inside the transformer where the time length corresponding to the temperature value exceeding the preset temperature value is greater than the preset time length. The parameter interference rate and temperature zone value are labeled CG and WD respectively. S3: According to the formula The environmental interference assessment coefficient H is obtained, where a1 and a2 are preset proportional factor coefficients of the parameter interference rate and the temperature zone value, respectively, and a3 is a preset correction factor coefficient. A1, a2, and a3 are all greater than zero. The environmental interference assessment coefficient H is compared and analyzed with the preset environmental interference assessment coefficient threshold value stored in the internal input: If the environmental interference assessment coefficient H is less than the preset environmental interference assessment coefficient threshold, a low-level environmental signal is generated; If the environmental interference assessment coefficient H is greater than or equal to the preset environmental interference assessment coefficient threshold, a high-level environmental signal is generated, and the low-level environmental signal and the high-level environmental signal are set to the environmental impact level HY, HY=1, 2.

2. A transformer operation risk management and control early warning system based on online monitoring according to claim 1, characterized in that: The operational insulation risk safety supervision analysis process of the dynamic insulation unit is as follows: Obtain the oil temperature change curve and the oil pressure change curve inside the transformer within the time threshold, obtain the corresponding oil temperature value and oil pressure value from the oil temperature change curve and the oil pressure change curve at intervals of t1, and construct sets A1 and B1 of oil temperature values ​​and oil pressure values ​​respectively; obtain the corresponding oil temperature value and oil pressure value from the oil temperature change curve and the oil pressure change curve at intervals of t2, and construct sets A2 and B2 of oil temperature values ​​and oil pressure values ​​respectively; obtain the corresponding oil temperature value and oil pressure value from the oil temperature change curve and the oil pressure change curve at intervals of tg, and construct sets Ag and Bg of oil temperature values ​​and oil pressure values ​​respectively, where g is a natural number greater than zero; obtain the discrete coefficients of sets A1…Ag and B1…Bg within the time threshold, and set them as oil temperature evaluation coefficients YW1…YWg and oil pressure evaluation coefficients YY1…YYg respectively; The maximum and minimum values ​​of the oil temperature evaluation coefficients YW1…YWg and the oil pressure evaluation coefficients YY1…YYg are obtained respectively, and are set as YWmax, YWmin, YYmax and YYmin respectively. The difference between YWmax and YWmin and the difference between YYmax and YYmin are set as the oil temperature span value and the oil pressure span value respectively. The oil temperature span value and the oil pressure span value are compared and analyzed with the preset oil temperature span value threshold and the preset oil pressure span value threshold that are recorded and stored internally: If the oil temperature span value is less than the preset oil temperature span value threshold, and the oil pressure span value is less than the preset oil pressure span value threshold, a normal signal is generated; If the oil temperature span value is greater than or equal to a preset oil temperature span value threshold, or the oil pressure span value is greater than or equal to a preset oil pressure span value threshold, a management signal is generated.

3. A transformer operation risk management and control early warning system based on online monitoring according to claim 1, characterized in that: The period operation risk assessment and analysis process of the operation control unit is as follows: T1: Obtain the actual operating parameters of the transformer within the time threshold, including operating voltage, operating power, and operating current, obtain the number of deviations of the values ​​corresponding to the actual operating parameters from the set range, and set it as the deviation risk value PL; T2: Obtain the actual performance parameters of the transformer within the time threshold, which represent the operating vibration amplitude and operating loudness value, obtain the maximum value of the duration corresponding to the value of the actual performance parameter exceeding the preset threshold, and set it as the abnormal performance value YB; T3: According to the formula The operation risk assessment coefficient F is obtained, where f1, f2, f3 and f4 are respectively the preset weight factor coefficients of the deviation risk value, abnormal performance value, interference level and environmental impact level, and f5 is the preset fault tolerance factor coefficient. f1, f2, f3, f4 and f5 are all greater than zero. The operation risk assessment coefficient F is compared and analyzed with the preset operation risk assessment coefficient threshold value stored in the internal input: If the ratio between the operation risk assessment coefficient F and the preset operation risk assessment coefficient threshold is less than 1, no signal is generated; If the ratio between the operation risk assessment coefficient F and the preset operation risk assessment coefficient threshold is greater than or equal to 1, a risk signal is generated.

Images