Mutual inductor online verification method based on improved mobile energy storage multifunctional vehicle

Abstract

The invention discloses a mutual inductor online verification method based on an improved mobile energy storage multifunctional vehicle, and belongs to the technical field of mutual inductors, and the method comprises the steps: S1, extracting first key data from a historical current waveform, binding the first key data with the historical current waveform, and obtaining a feature waveform set; s2, acquiring second key data based on preset information, and comparing the second key data with the characteristic waveform set to obtain a target waveform; and S3, based on the energy management device of the mobile energy storage multifunctional vehicle, calculating the output power of the mobile energy storage multifunctional vehicle according to the characteristics of the target waveform, simulating the working condition corresponding to the target waveform based on the output power of the mobile energy storage multifunctional vehicle, and verifying the calibrated mutual inductor based on the working condition corresponding to the target waveform. The problems that it is difficult to convert the current working condition demand into the target waveform and it is difficult to output the corresponding power simulation working condition according to the target waveform are solved.

Description

Technical Field

[0001] The invention relates to the technical field of mutual inductors, and in particular to an online verification method for mutual inductors based on an improved mobile energy storage multifunctional vehicle. Background Art

[0002] Instrument transformers play a vital role in power systems, and are used to measure current, protect power equipment, achieve power metering, and monitor the stability of power systems. However, under different working conditions, such as high load, low load, fault or temperature fluctuation, the performance of the instrument transformer may vary, which may affect the accuracy of the measurement. Therefore, it is very important to regularly calibrate the instrument transformer to ensure that its performance is within the specified range. For example, a live calibration method for current transformers with patent number CN106054101B includes shielding the electromagnetic field generated by the current flowing through the primary conductor of the current transformer to be tested; introducing a calibration current into the current transformer to be tested; detecting the true value of the calibration current, and calculating the measurement error of the current transformer to be tested. In the above scheme, the shielding layer eliminates the interference of the current in the primary side conductor on the verification result, thereby improving the reliability of the verification. However, since the inspection of the transformer is affected by the current condition, and the above scheme does not consider the influence of the current condition on the transformer, the above scheme has the defect of being unable to simulate the current condition. The existing technology mainly simulates the current condition through a mobile energy storage multi-functional vehicle, but the existing mobile energy storage multi-functional vehicle has the problem of difficulty in converting the current condition requirement into a target waveform, and also has the problem of difficulty in outputting the corresponding power according to the target waveform and thus simulating the condition. Summary of the invention

[0003] In view of the problem that it is difficult to convert the current working condition demand into a target waveform and it is difficult to output the corresponding power simulation working condition according to the target waveform in the prior art, the present invention provides an online verification method for a transformer based on an improved mobile energy storage multifunctional vehicle, by comparing the current working condition demand with a characteristic waveform set, and then specifying the current working condition demand as a target waveform, and obtaining the output power of the energy storage multifunctional vehicle based on the characteristics of the target waveform, so that the waveform corresponding to its output can be as close to the power grid working condition represented by the target waveform as possible. The problem that it is difficult to convert the current working condition demand into a target waveform and it is difficult to output the corresponding power simulation working condition according to the target waveform is solved. The above scheme can simulate a variety of complex power grid working conditions, thereby ensuring that the transformer can fully expose its possible problems during the verification process, and can more comprehensively evaluate the performance of the transformer, thereby improving the accuracy and reliability of the verification.

[0004] In order to solve the above technical problems, the present invention provides an online calibration method for a transformer based on an improved mobile energy storage multifunctional vehicle, comprising the following steps: S1: extracting first key data from the historical current waveform, binding the first key data with the historical current waveform, and obtaining a characteristic waveform set; S2: acquiring second key data based on preset information, comparing the second key data with the characteristic waveform set, and thereby obtaining a target waveform; S3: Based on the energy management device of the mobile energy storage multi-purpose vehicle, the output power of the mobile energy storage multi-purpose vehicle is calculated according to the characteristics of the target waveform, the working condition corresponding to the target waveform is simulated based on the output power of the mobile energy storage multi-purpose vehicle, and the calibrated transformer is calibrated based on the working condition corresponding to the target waveform.

[0005] After adopting the above technical solution, the present invention has the following advantages: The first key data is data that determines the historical current waveform, the preset information is the current working condition demand information, the second key data is the first key data existing in the current working condition demand information, and the characteristic waveform set records the historical current waveform corresponding to each data in the first key data. Therefore, the target waveform can be obtained by comparing the second key data with the characteristic waveform set. By specifying the current working condition demand as the target waveform, the current working condition can be clearly displayed, so that the power of the mobile energy storage multifunctional vehicle can be adjusted more specifically, and the current can be controlled more accurately; The improved mobile energy storage multifunctional vehicle of the present application is an improvement on the energy management device. Based on the energy management device, the output power of the mobile energy storage multifunctional vehicle is calculated according to the characteristics of the target waveform, so that the waveform corresponding to the output power of the mobile energy storage multifunctional vehicle can be close to the target waveform to the greatest extent, and the respective complex working conditions can be simulated more accurately, thereby ensuring that the transformer can fully expose its possible problems during the calibration process, and the performance of the transformer can be more comprehensively evaluated, thereby improving the accuracy and reliability of the calibration; The problem that it is difficult to convert the current working condition requirement into the target waveform and difficult to output the corresponding power simulation working condition according to the target waveform is solved.

[0006] Preferably, in S2, the step of comparing the second key data with the characteristic waveform set to obtain the target waveform includes: comparing the data in the second key data with the characteristic waveform set respectively, if only one comparison result is obtained, then the comparison result is the target waveform, if more than one comparison result is obtained, then all the obtained comparison results are fitted to obtain a first fitting waveform, and the first fitting waveform is the target waveform, if no comparison result is obtained, then the target waveform is obtained based on a preset rule. When the comparison result is not unique, the target waveform is generated by fitting all relevant results, and by comprehensively utilizing multiple similar or close data points, not only the utilization rate of the data is improved, but also the matching of the waveform with the current operating condition requirements is ensured. By specifying the current operating condition requirements as the target waveform, the current operating condition can be clearly displayed, so that the output power of the mobile energy storage multi-functional vehicle can be adjusted more specifically.

[0007] Preferably, if more than one comparison result is obtained, fitting all the comparison results to obtain a first fitting waveform comprises: If more than one comparison result is obtained, the process waveforms corresponding to all the comparison results are obtained, the waveform difference between the corresponding data points of each process waveform is calculated, and the data points whose waveform difference between the corresponding data points of each process waveform is less than the first preset difference are marked as stable data points, and the average value of the corresponding stable data points between each process waveform is calculated, and the first fitting waveform is obtained based on the average value. By identifying and retaining those data points that are stable in different process waveforms and less affected by the fluctuation of a single parameter, a more robust and reliable waveform is constructed, which can not only more truly reflect the waveform characteristics under the joint action of multiple parameters, but also effectively resist the interference of individual parameter anomalies on the overall simulation results, ensuring the accuracy and practicality of the final fitting waveform.

[0008] Preferably, if the comparison result is not obtained, the target waveform is obtained based on the preset rules, including: if the comparison result is not obtained, the absolute difference between the data in the second key data and the corresponding data in the characteristic waveform set is calculated respectively, and the historical current waveform bound to the data whose absolute difference between the corresponding data in the characteristic waveform set and the data in the second key data is less than the second preset difference is fitted to obtain a second fitting waveform, and the second fitting waveform is the target waveform. By screening out data similar to the second key data in the characteristic waveform set, a similar historical current waveform is obtained based on the similar data, and while making full use of historical data, a target waveform close to the current working condition requirements is obtained through fitting, which improves data utilization, can not only more truly reflect the waveform characteristics under the joint action of multiple parameters, but also effectively resist the interference of individual parameter anomalies on the overall simulation results, ensuring the accuracy and practicality of the final fitting waveform.

[0009] Preferably, if more than one comparison result is obtained, fitting all the comparison results to obtain the first fitting waveform further comprises: If more than one comparison result is obtained, the data points whose waveform difference between the corresponding data points of each process waveform is greater than the first preset difference are marked as turbulent data points. If the number of turbulent data points is less than the preset number, the data in the second key data are respectively bound to the first fitting waveform, and the characteristic waveform set is updated based on the binding information. This helps to continuously learn and adapt to new current working conditions, thereby improving the response speed.

[0010] Preferably, S3 includes: S31: Calculate the instantaneous power corresponding to each data point on the target waveform based on the circuit load characteristics; S32: Obtaining the instantaneous output power of the mobile energy storage multifunctional vehicle based on the charging and discharging efficiency of the mobile energy storage multifunctional vehicle and the instantaneous power corresponding to each data point; S33: Simulate the working condition corresponding to the target waveform based on the instantaneous output power of the mobile energy storage multi-purpose vehicle.

[0011] The target waveform is a comprehensive and specific reflection of the current working condition requirements. The output power of the mobile energy storage multi-functional vehicle is related to the power corresponding to the target waveform. Therefore, the output power of the mobile energy storage multi-functional vehicle can be obtained by calculating the power corresponding to the target waveform. By precisely controlling the output power of the mobile energy storage multi-functional vehicle, it can be close to the target waveform to the greatest extent, and can more accurately simulate the respective complex working conditions, thereby ensuring that the transformer can fully expose its possible problems during the verification process, and can more comprehensively evaluate the performance of the transformer, thereby improving the accuracy and reliability of the verification.

[0012] Preferably, in S3, the calibrating the transformer to be calibrated based on the working condition corresponding to the target waveform includes: The first data of the standard sensor in the working condition corresponding to the target waveform is obtained, the second data of the calibrated transformer in the working condition corresponding to the target waveform is obtained, the data difference between the first data and the second data is calculated, and the calibrated transformer is verified based on the data difference only when the data difference between the standard sensor and the calibrated transformer exceeds the third preset difference. The verification is only performed when the data difference between the standard sensor and the calibrated transformer exceeds the third preset difference, avoiding unnecessary verification when the data difference is very small or there is no significant difference, thereby improving the efficiency and pertinence of the verification, and can significantly reduce the consumption of resources and reduce the verification cost.

[0013] The beneficial effects of this program: The first key data is the data that determines the historical current waveform, the preset information is the current operating condition demand information, the second key data is the first key data existing in the current operating condition demand information, and the characteristic waveform set records the historical current waveform corresponding to each data in the first key data. Therefore, the target waveform can be obtained by comparing the second key data with the characteristic waveform set. By specifying the current operating condition demand as a target waveform, the current operating condition can be clearly displayed, so that the power of the energy storage multi-functional vehicle can be adjusted more specifically, and the current can be controlled more accurately.

[0014] The output power of the mobile energy storage multi-purpose vehicle is calculated based on the characteristics of the target waveform, so that the waveform corresponding to the output power of the energy storage multi-purpose vehicle can be as close to the target waveform as possible, and the respective complex working conditions can be simulated more accurately, thereby ensuring that the transformer can fully expose its possible problems during the calibration process, and the performance of the transformer can be more comprehensively evaluated, thereby improving the accuracy and reliability of the calibration; The problem that it is difficult to convert the current working condition requirement into the target waveform and difficult to output the corresponding power simulation working condition according to the target waveform is solved.

[0015] The present invention also provides a mobile energy storage multifunctional vehicle, comprising: an energy storage battery, a power converter, an energy management device, and a networking switching device; The energy storage battery is used to store and release electrical energy; The power converter is used to convert the direct current of the energy storage battery into alternating current, and at the same time, convert the alternating current into direct current when charging the energy storage battery; The energy management device is used to calculate the output power of the mobile energy storage multifunctional vehicle based on the characteristics of the target waveform; The parallel network switching device is used to connect the mobile energy storage multifunctional vehicle to the circuit.

[0016] Preferably, the power converter includes a rectifier and an inverter, the rectifier is used to charge the energy storage battery, and the inverter is used to convert direct current into alternating current.

[0017] Preferably, a battery management device is also included, and the battery management device is used to monitor and manage actual parameters of the energy storage battery. The actual parameters of the energy storage battery include but are not limited to the temperature, voltage and current of the energy storage battery.

[0018] The beneficial effects of this program: By improving the energy management device in the mobile energy storage multi-purpose vehicle, the energy management device can calculate the output power of the mobile energy storage multi-purpose vehicle according to the characteristics of the target waveform, and then accurately control the output power of the mobile energy storage multi-purpose vehicle to ensure the stability and efficiency of the supply, which helps to concretize the current operating condition requirements and solves the problem of difficulty in outputting the corresponding power simulation operating condition according to the target waveform. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Other features, objects and advantages of the present invention will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings. The drawings are only for the purpose of illustrating preferred embodiments and are not to be considered as limiting the present invention. Also, the same reference symbols are used throughout the drawings to represent the same parts.

[0020] Figure 1 It is a flow chart of an online calibration method for a transformer of an improved mobile energy storage multifunctional vehicle according to the present invention; Figure 2 This is a structural diagram of the mobile energy storage multifunctional vehicle of the present invention; Figure 3 The present invention is based on the improved online calibration principle diagram of the current transformer in the online calibration method of the transformer of the mobile energy storage multifunctional vehicle. DETAILED DESCRIPTION

[0021] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific implementation method described herein is only an optimal embodiment of the present invention, which is only used to explain the present invention and does not limit the scope of protection of the present invention. All other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0022] Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow charts describe the operations (or steps) as sequential processes, many of the operations (or steps) therein can be implemented in parallel, concurrently, or simultaneously. In addition, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but can also have additional steps not included in the drawings; the process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0023] Embodiment 1: like Figure 1 As shown, the online calibration method of the transformer based on the improved mobile energy storage multifunctional vehicle includes the following steps: S1: extracting first key data from the historical current waveform, binding the first key data with the historical current waveform, and obtaining a characteristic waveform set.

[0024] The first key data is the data that determines the historical current waveform. The characteristic waveform set records the historical current waveform corresponding to each data in the first key data. If there are three data in the first key data, namely amplitude, angular frequency and phase, the amplitude, angular frequency and phase are bound to the historical current waveform respectively. When the same amplitude is obtained later, the historical current waveform corresponding to the amplitude can be directly obtained. The waveform that matches the given data can be quickly retrieved and presented. This instant response significantly reduces the time for data processing and waveform generation, and improves overall work efficiency.

[0025] S2: Acquire second key data based on preset information, compare the second key data with the characteristic waveform set, and then obtain the target waveform.

[0026] In S2, comparing the second key data with the characteristic waveform set to obtain the target waveform includes: The data in the second key data are compared with the characteristic waveform set respectively. If only one comparison result is obtained, the comparison result is the target waveform. If more than one comparison result is obtained, all the comparison results are fitted to obtain a first fitting waveform, which is the target waveform. If no comparison result is obtained, the target waveform is obtained based on preset rules.

[0027] If more than one comparison result is obtained, fitting all the comparison results to obtain a first fitting waveform includes: If more than one comparison result is obtained, the process waveforms corresponding to all the comparison results are obtained, the waveform difference of the corresponding data points between each process waveform is calculated, the data points whose waveform difference of the corresponding data points between each process waveform is less than the first preset difference are marked as stable data points, the average value of the corresponding stable data points between each process waveform is calculated, and the first fitting waveform is obtained based on the average value.

[0028] The method of obtaining the target waveform based on preset rules if no comparison result is obtained includes: if no comparison result is obtained, respectively calculating the absolute difference between the data in the second key data and the corresponding data in the feature waveform set, and fitting the historical current waveform bound to the data whose absolute difference between the corresponding data in the feature waveform set and the data in the second key data is less than a second preset difference to obtain a second fitting waveform, and the second fitting waveform is the target waveform.

[0029] If more than one comparison result is obtained, fitting all the comparison results to obtain a first fitting waveform also includes: If more than one comparison result is obtained, the data points whose waveform differences between corresponding data points of each process waveform are greater than the first preset difference are marked as turbulent data points. If the number of turbulent data points is less than the preset number, the data in the second key data are respectively bound to the first fitting waveform, and the characteristic waveform set is updated based on the binding information.

[0030] In this embodiment, the preset information is the current operating condition requirement information, the second key data is the first key data existing in the current operating condition requirement information, the data in the characteristic waveform set is amplitude, frequency, and phase, and the amplitude is 5, the phase is 0, and the frequency is 60. The historical current waveforms bound to the amplitude 5 are the first waveform and the second waveform, the historical current waveforms bound to the phase 0 are the first waveform, the second waveform, and the third waveform, and the historical current waveforms bound to the frequency 60 are the second waveform and the third waveform. At this time, if the data in the second key data is amplitude 4, phase 0, and frequency 50, three recognition results are output, namely the first waveform, the second waveform, and the third waveform. If the data on the first waveform is (1, 2, 3, 4, 5), the data on the second waveform is (2, 3, 4, 5, 6), the data on the third waveform is (2, 3, 3, 4, 5), the waveform difference between the first waveform and the second waveform is (1, 1, 1, 1, 1), the difference between the first waveform and the third waveform is (1, 1, 0, 0, 0), and the waveform difference between the second waveform and the third waveform is (0, 0, 1, 1, 1). If the preset difference is 3, the waveform difference of the corresponding data points between each process waveform is less than the first preset difference. Therefore, all data points on the first waveform, the second waveform and the third waveform are marked as stable data points, and the average value of the corresponding stable data points between each process waveform is calculated. The first fitting waveform is obtained based on the average value. If the amplitude is 3, the comparison result cannot be obtained at this time. The absolute difference between the data 3 in the second key data and the corresponding data 5 in the characteristic waveform set is 2. When the second preset difference is 3, the absolute difference is less than the second preset difference. Therefore, the first waveform and the second waveform are fitted to obtain the target waveform. If the second key data amplitude is 5, the comparison result at this time is the first waveform and the second waveform. If the data on the first waveform is (1, 2, 3, 4, 1) and the data on the second waveform is (2, 3, 4, 5, 6), the waveform difference is (1, 1, 1, 1, 5). When the first preset difference is 3 and the preset number is 2, the fifth data point is a turbulent data point, and the number of turbulent points is less than 2. At this time, the first fitting waveform is (1.5, 2.5, 3.5, 4.5, 3). Since the fifth data point is a turbulent data point, the fifth data point in the first fitting waveform is predicted based on the first four data points. At this time, the historical current waveforms bound to the amplitude 5 are the first waveform, the second waveform and the first fitting waveform. By specifying the current operating condition requirements as the target waveform, the current operating condition can be clearly displayed, so that the power of the energy storage multi-functional vehicle can be adjusted more specifically, and the current can be controlled more accurately.

[0031] S3: Based on the energy management device of the mobile energy storage multi-purpose vehicle, the output power of the mobile energy storage multi-purpose vehicle is calculated according to the characteristics of the target waveform, the working condition corresponding to the target waveform is simulated based on the output power of the mobile energy storage multi-purpose vehicle, and the calibrated transformer is calibrated based on the working condition corresponding to the target waveform.

[0032] The S3 includes: S31: Calculate the instantaneous power corresponding to each data point on the target waveform based on the circuit load characteristics; S32: Obtaining the instantaneous output power of the mobile energy storage multifunctional vehicle based on the charging and discharging efficiency of the mobile energy storage multifunctional vehicle and the instantaneous power corresponding to each data point; S33: Simulate the working condition corresponding to the target waveform based on the instantaneous output power of the mobile energy storage multi-purpose vehicle.

[0033] In S3, the calibrating the transformer to be calibrated based on the working condition corresponding to the target waveform includes: Obtain the first data of the standard sensor in the working condition corresponding to the target waveform, obtain the second data of the calibrated transformer in the working condition corresponding to the target waveform, calculate the data difference between the first data and the second data, and verify the calibrated transformer based on the data difference only when the data difference is greater than a third preset difference.

[0034] The circuit load characteristic is the resistance on the circuit. Calculating the instantaneous power corresponding to each data point on the target waveform based on the circuit load characteristic improves the accuracy of the instantaneous power obtained. At the same time, obtaining the instantaneous output power of the mobile energy storage multi-functional vehicle based on the charging and discharging efficiency of the mobile energy storage multi-functional vehicle and the instantaneous power corresponding to each data point can make the waveform corresponding to the output power of the mobile energy storage multi-functional vehicle close to the target waveform to the greatest extent, and can more accurately simulate the respective complex working conditions, thereby ensuring that the transformer can fully expose its possible problems during the verification process, can more comprehensively evaluate the performance of the transformer, and improve the accuracy and reliability of the verification.

[0035] The method of the present invention can also be applied to the live calibration of current transformers in distribution networks to ensure that they can provide reliable measurement results under various actual working conditions. In addition, the method can also be extended to other fields that require current measurement, such as industrial automation and energy management.

[0036] Embodiment 2: like Figure 2 As shown, a mobile energy storage multifunctional vehicle includes: an energy storage battery, a power converter, an energy management device, and a networking switching device; The energy storage battery is used to store and release electrical energy; The power converter is used to convert the direct current of the energy storage battery into alternating current, and at the same time, convert the alternating current into direct current when charging the energy storage battery; The energy management device is used to calculate the output power of the mobile energy storage multifunctional vehicle according to the characteristics of the target waveform; The parallel network switching device is used to connect the mobile energy storage multifunctional vehicle to the circuit.

[0037] The power converter includes a rectifier and an inverter, wherein the rectifier is used to charge the energy storage battery, and the inverter is used to convert direct current into alternating current.

[0038] It also includes a battery management device, which is used to monitor and manage actual parameters of the energy storage battery. The actual parameters of the energy storage battery include but are not limited to the temperature, voltage, and current of the energy storage battery.

[0039] In this embodiment, the transformer is a current transformer. When the current transformer is calibrated, the primary bus where the current transformer to be calibrated is located is powered off, the standard sensor in the transformer calibrator is connected to the primary bus, and the data output end of the current transformer to be calibrated is connected to the transformer calibrator. The primary bus is powered on, and the actual data of the transformer calibrator, i.e., the angle difference and ratio difference of the current transformer to be calibrated, are observed and recorded. The mobile energy storage multifunctional vehicle is connected to the grid measuring meter configured for the bus, and the current and voltage values ​​on the primary bus where the current transformer to be calibrated are adjusted by changing the number of mobile energy storage multifunctional vehicles connected and changing the output power through the energy management device of the mobile energy storage multifunctional vehicle to simulate the actual working conditions.

[0040] Before the grid-connected operation is performed, the mobile energy storage multi-function vehicle is matched and synchronized with the voltage, frequency and phase of the grid to ensure a smooth connection to the grid. In the backup mode, when there is a problem with the grid, the mobile energy storage multi-function vehicle starts to supply power through the grid-connected switching device. In the online mode, the mobile energy storage multi-function vehicle is always online for power supply, similar to the working mode of an uninterruptible power supply. According to the needs of the verification personnel for different working conditions, the output power of the mobile energy storage multi-function vehicle is adjusted through the energy management device. If the verification personnel's needs for the working conditions exceed the adjustment capacity of a mobile energy storage multi-function vehicle, the purpose can be achieved by adjusting the number of mobile energy storage multi-function vehicles connected to the grid at the same time.

[0041] like Figure 3As shown in the figure, the online calibration system refers to the software and hardware platform for testing the current transformer under power. First, use the standard sensor to measure the primary and secondary operating currents of the current transformer. This process is carried out without power outages, and the sensing part converts the current on the transmission line into a voltage signal. The calibrator obtains the electrical parameters of the standard sensor and the calibrated current transformer through the collector. These electrical parameters include the multiples of the primary and secondary currents. The test is divided into two channels. Under the action of the synchronous clock source, the unit end signal and the standard channel output signal are merged and sampled synchronously. The sampled two channels of data are transmitted to the host computer calibration platform in the form of data frames for calibration. The host computer data processing platform compares and processes the two signals at the same time to calculate the error of the calibrated current transformer. The measurement results are displayed and recorded on the display screen of the calibrator. This method can monitor the performance of the current transformer in real time and provide accurate calibration results. Finally, it is only necessary to change the number of mobile energy storage multi-functional vehicles connected and change the output power through the energy management device of the mobile energy storage multi-functional vehicle to adjust the current and voltage values ​​on the primary bus where the current transformer to be calibrated is located, thereby approaching the target waveform to simulate the actual working conditions. A more realistic calibration environment is simulated for the calibration of the current transformer, which can more realistically and accurately reflect the error of the current transformer and ensure the safety of the power grid.

[0042] The improved mobile energy storage multi-purpose vehicle allows for the simulation of a variety of current conditions in a laboratory or calibration environment, including different load levels and current fluctuations. This helps to more comprehensively evaluate the performance of the current transformer, ensuring that it can provide accurate measurements in a variety of practical situations, while being able to move to different current measurement points when needed without removing the current transformer or performing large-scale power outages on the line. This helps reduce calibration and maintenance costs.

[0043] The specific implementation described above is a preferred implementation of the online calibration method of the transformer of the improved mobile energy storage multi-functional vehicle based on the present invention, and is not intended to limit the specific implementation scope of the present invention. The scope of the present invention includes but is not limited to this specific implementation. All equivalent changes made in accordance with the shape and structure of the present invention are within the protection scope of the present invention.

Claims

1. An online calibration method for a transformer based on an improved mobile energy storage multifunctional vehicle, characterized in that: The following steps are included: S1: extracting first key data from the historical current waveform, binding the first key data with the historical current waveform, and obtaining a characteristic waveform set; S2: acquiring second key data based on preset information, comparing the second key data with the characteristic waveform set, and thereby obtaining a target waveform; S3: Based on the energy management device of the mobile energy storage multi-purpose vehicle, the output power of the mobile energy storage multi-purpose vehicle is calculated according to the characteristics of the target waveform, the working condition corresponding to the target waveform is simulated based on the output power of the mobile energy storage multi-purpose vehicle, and the calibrated transformer is calibrated based on the working condition corresponding to the target waveform.

2. The online calibration method for mutual inductor based on the improved mobile energy storage multifunctional vehicle according to claim 1 is characterized in that: In S2, comparing the second key data with the characteristic waveform set to obtain the target waveform includes: The data in the second key data are compared with the characteristic waveform set respectively. If only one comparison result is obtained, the comparison result is the target waveform. If more than one comparison result is obtained, all the comparison results are fitted to obtain a first fitting waveform, which is the target waveform. If no comparison result is obtained, the target waveform is obtained based on preset rules.

3. The online calibration method for mutual inductor based on the improved mobile energy storage multifunctional vehicle according to claim 2 is characterized in that: If more than one comparison result is obtained, fitting all the comparison results to obtain a first fitting waveform includes: If more than one comparison result is obtained, the process waveforms corresponding to all the comparison results are obtained, the waveform difference of the corresponding data points between each process waveform is calculated, the data points whose waveform difference of the corresponding data points between each process waveform is less than the first preset difference are marked as stable data points, the average value of the corresponding stable data points between each process waveform is calculated, and the first fitting waveform is obtained based on the average value.

4. The online calibration method for a transformer based on an improved mobile energy storage multifunctional vehicle according to claim 2 is characterized in that: The method of obtaining the target waveform based on preset rules if no comparison result is obtained includes: if no comparison result is obtained, respectively calculating the absolute difference between the data in the second key data and the corresponding data in the feature waveform set, and fitting the historical current waveform bound to the data whose absolute difference between the corresponding data in the feature waveform set and the data in the second key data is less than a second preset difference to obtain a second fitting waveform, and the second fitting waveform is the target waveform.

5. The online calibration method for mutual inductor based on the improved mobile energy storage multifunctional vehicle according to claim 2 is characterized in that: If more than one comparison result is obtained, fitting all the comparison results to obtain a first fitting waveform also includes: If more than one comparison result is obtained, the data points whose waveform differences between corresponding data points of each process waveform are greater than the first preset difference are marked as turbulent data points. If the number of turbulent data points is less than the preset number, the data in the second key data are respectively bound to the first fitting waveform, and the characteristic waveform set is updated based on the binding information.

6. The online calibration method for mutual inductor based on the improved mobile energy storage multifunctional vehicle according to claim 1 is characterized in that: The S3 includes: S31: Calculate the instantaneous power corresponding to each data point on the target waveform based on the circuit load characteristics; S32: Obtaining the instantaneous output power of the mobile energy storage multifunctional vehicle based on the charging and discharging efficiency of the mobile energy storage multifunctional vehicle and the instantaneous power corresponding to each data point; S33: Simulate the working condition corresponding to the target waveform based on the instantaneous output power of the mobile energy storage multi-purpose vehicle.

7. The online calibration method for mutual inductor based on the improved mobile energy storage multifunctional vehicle according to claim 1 is characterized in that: In S3, the calibrating the transformer to be calibrated based on the working condition corresponding to the target waveform includes: Obtain the first data of the standard sensor in the working condition corresponding to the target waveform, obtain the second data of the calibrated transformer in the working condition corresponding to the target waveform, calculate the data difference between the first data and the second data, and verify the calibrated transformer based on the data difference only when the data difference is greater than a third preset difference.

8. A mobile energy storage multifunctional vehicle, applicable to the online calibration method for a transformer based on an improved mobile energy storage multifunctional vehicle as described in any one of claims 1 to 7, characterized in that: include: Energy storage batteries, power converters, energy management devices, and networking switching devices; The energy storage battery is used to store and release electrical energy; The power converter is used to convert the direct current of the energy storage battery into alternating current, and at the same time, convert the alternating current into direct current when charging the energy storage battery; The energy management device is used to calculate the output power of the mobile energy storage multifunctional vehicle according to the characteristics of the target waveform; The parallel network switching device is used to connect the mobile energy storage multifunctional vehicle to the circuit.

9. A mobile energy storage multifunctional vehicle according to claim 8, characterized in that: The power converter includes a rectifier and an inverter, wherein the rectifier is used to charge the energy storage battery, and the inverter is used to convert direct current into alternating current.

10. A mobile energy storage multifunctional vehicle according to claim 8, characterized in that: It also includes a battery management device, which is used to monitor and manage actual parameters of the energy storage battery. The actual parameters of the energy storage battery include but are not limited to the temperature, voltage, and current of the energy storage battery.

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