On-load test method, device, equipment, medium and program product

Abstract

The embodiment of the invention provides an on-load testing method, device and equipment, a medium and a program product, and particularly relates to the technical field of on-load testing. The method comprises the steps that an on-load test starting instruction is sent to a target lower computer module, the on-load test starting instruction indicates a sampling time point, a target measurement point and sampling electrical parameters, and the target measurement point is a measurement point for on-load test; a test data acquisition result for the on-load test starting instruction returned by the target lower computer module is acquired, the test data acquisition result comprises electrical parameter fusion data, and the electrical parameter fusion data is generated after the target lower computer module performs data fusion on the acquired electrical parameters by using a preset data fusion model; and generating a performance evaluation result of the transformer substation based on the test data acquisition result. The method is used for achieving the effects that on-load testing can be carried out at physically dispersed measuring points at the same time, and the method adapts to the layout characteristics of the intelligent substation.

Description

Load testing methods, apparatus, equipment, media and procedures products Technical Field

[0001] This application relates to the field of load testing technology, and in particular to a load testing method, apparatus, equipment, medium, and program product. Background Technology

[0002] After a substation is newly built or undergoes major repairs, a load test must be performed. The purpose of this test is to check the polarity and phase sequence wiring of the secondary circuits of the voltage and current transformers. This is to ensure the safe and reliable operation of the power system.

[0003] Load testing typically employs a phase voltammeter, which measures the phase of the three-phase current relative to a reference voltage and determines the polarity and phase sequence to verify the correctness of the secondary current and voltage circuits. In conventional substations, the analog voltage and current signals are located behind the same protection panel, making testing easy with a three-phase phase voltammeter. However, in smart substations, the analog output signals of current transformers are located on the merging units of each bay, and the analog output signals of voltage transformers are located on the bus voltage merging unit, separated by several meters or even tens of meters. The protection panel no longer receives all the analog voltage and current input signals. This physical dispersion makes traditional load testing difficult. Summary of the Invention

[0004] This application provides a load testing method, apparatus, equipment, medium, and program product to achieve the effect of enabling load testing to be performed simultaneously at physically dispersed measurement points, adapting to the layout characteristics of smart substations.

[0005] In a first aspect, embodiments of this application provide a load testing method, wherein multiple measurement points in a substation are respectively equipped with a lower-level computer module. The lower-level computer module is used to collect electrical parameters of the secondary output signals of the current transformers in the substation and to collect electrical parameters of the secondary output signals of the voltage transformers in the substation. The multiple measurement points include a bay merging unit and a bus voltage merging unit. The method includes:

[0006] A load test start command is sent to the target lower-level machine module. The load test start command indicates the sampling time point, the target measurement point, and the sampling electrical parameters. The target measurement point is the measurement point where the load test is performed. The sampling electrical parameters include at least one of amplitude, phase, and frequency. The target lower-level machine module is the lower-level machine module equipped at the target measurement point.

[0007] The test data acquisition results returned by the target lower-level machine module in response to the load test start command are obtained. The test data acquisition results include electrical parameter fusion data, which is generated by the target lower-level machine module after fusing the acquired electrical parameters using a preset data fusion model.

[0008] Based on the test data collection results, the performance evaluation results of the substation are generated.

[0009] In one possible implementation, generating the substation performance evaluation result based on the test data acquisition results includes:

[0010] Determine the reference voltage signal;

[0011] The phase of the current signal in the test data acquisition results is calculated relative to the reference voltage signal, and the phase of the voltage signal in the test data acquisition results is calculated relative to the reference voltage signal. A phasor diagram is drawn based on the calculation results.

[0012] The phasor diagram is analyzed to determine whether the phase sequence of the current signal and the phase sequence of the voltage signal are correct. Based on the determination results, the performance evaluation results of the substation are generated.

[0013] In one possible implementation,

[0014] The target lower-level computer module is also used to denoise the collected electrical parameters using a preset filtering algorithm, perform data fusion processing on the denoised electrical parameters using a preset data fusion model, perform density analysis on the electrical parameter fusion data generated by data fusion, and send the electrical parameter fusion data to the upper-level computer module when the density of the electrical parameter fusion data meets the preset density condition.

[0015] In one possible implementation,

[0016] The target lower-level machine module is also used to perform noise reduction processing on the collected electrical parameters using a three-state median filtering algorithm.

[0017] In one possible implementation,

[0018] The target lower-level machine module is also used to perform density analysis on the electrical parameter fusion data generated by data fusion using the t-nearest neighbor distance concept.

[0019] In one possible implementation,

[0020] The target lower-level computer module is also used to send the electrical parameter fusion data to the upper-level computer module when each type of electrical parameter data in the electrical parameter fusion data meets the preset density condition of the corresponding type.

[0021] Secondly, embodiments of this application provide a load testing device, wherein multiple measurement points in a substation are respectively equipped with a lower-level computer module. The lower-level computer module is used to collect electrical parameters of the secondary output signals of the current transformers in the substation and to collect electrical parameters of the secondary output signals of the voltage transformers in the substation. The multiple measurement points include a bay merging unit and a bus voltage merging unit. The device includes:

[0022] The sending module is used to send a load test start command to the target lower-level machine module. The load test start command indicates the sampling time point, the target measurement point, and the sampling electrical parameters. The target measurement point is the measurement point for which the load test is performed. The sampling electrical parameters include at least one of amplitude, phase, and frequency. The target lower-level machine module is the lower-level machine module equipped at the target measurement point.

[0023] The acquisition module is used to acquire the test data acquisition results returned by the target lower-level machine module in response to the load test start command. The test data acquisition results include electrical parameter fusion data, which is generated by the target lower-level machine module after fusing the acquired electrical parameters using a preset data fusion model.

[0024] The generation module is used to generate the performance evaluation results of the substation based on the test data acquisition results.

[0025] In one possible implementation, the generation module is specifically used for:

[0026] Determine the reference voltage signal;

[0027] The phase of the current signal in the test data acquisition results is calculated relative to the reference voltage signal, and the phase of the voltage signal in the test data acquisition results is calculated relative to the reference voltage signal. A phasor diagram is drawn based on the calculation results.

[0028] The phasor diagram is analyzed to determine whether the phase sequence of the current signal and the phase sequence of the voltage signal are correct. Based on the determination results, the performance evaluation results of the substation are generated.

[0029] In one possible implementation,

[0030] The target lower-level computer module is also used to denoise the collected electrical parameters using a preset filtering algorithm, perform data fusion processing on the denoised electrical parameters using a preset data fusion model, perform density analysis on the electrical parameter fusion data generated by data fusion, and send the electrical parameter fusion data to the upper-level computer module when the density of the electrical parameter fusion data meets the preset density condition.

[0031] In one possible implementation,

[0032] The target lower-level machine module is also used to perform noise reduction processing on the collected electrical parameters using a three-state median filtering algorithm.

[0033] In one possible implementation,

[0034] The target lower-level machine module is also used to perform density analysis on the electrical parameter fusion data generated by data fusion using the t-nearest neighbor distance concept.

[0035] In one possible implementation,

[0036] The target lower-level computer module is also used to send the electrical parameter fusion data to the upper-level computer module when each type of electrical parameter data in the electrical parameter fusion data meets the preset density condition of the corresponding type.

[0037] Thirdly, embodiments of this application provide a load testing device, including: a memory and a processor;

[0038] The memory stores computer-executed instructions;

[0039] The processor executes computer execution instructions stored in the memory, causing the processor to perform the first aspect and / or various possible implementations of the first aspect as described above.

[0040] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the first aspect and / or various possible implementations of the first aspect.

[0041] Fifthly, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the first aspect and / or various possible implementations of the first aspect.

[0042] The load testing method, apparatus, equipment, medium, and program products provided in this application embodiment are equipped with lower-level machine modules at multiple measurement points simultaneously, enabling parallel data acquisition. By sending a load test start command, the lower-level machine modules are automatically controlled to collect data. By modifying the content of the load test start command, the sampling time point, target measurement point, and sampled electrical parameters can be flexibly configured according to the specific needs of the substation. A preset data fusion model is used to fuse the collected electrical parameters, standardizing the various electrical parameter data and enhancing data consistency. The rapid return and processing of test data acquisition results allows for real-time performance evaluation of the substation, enabling timely detection and resolution of potential problems. The distributed deployment of the lower-level machine modules adapts to the physical layout of smart substations, achieving the effect of simultaneous load testing at physically dispersed measurement points, thus accommodating the layout characteristics of smart substations. Attached Figure Description

[0043] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0044] Figure 1 is a schematic diagram of the load testing method provided in this application.

[0045] Figure 2 is a flowchart illustrating the load testing method provided in this application.

[0046] Figure 3 is a schematic flowchart of the load testing method provided in this application.

[0047] Figure 4 is a schematic diagram of the user interface of the secondary circuit load test system provided in this application;

[0048] Figure 5 is a schematic diagram of the test process of the load test method provided in this application;

[0049] Figure 6 is a structural schematic diagram of the load testing device provided in this application;

[0050] Figure 7 is a schematic diagram of the load testing equipment provided in this application.

[0051] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0052] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0053] A substation, also known as a transformer station, is a location in a power system where voltage and current are transformed, electrical energy is received, and electrical energy is distributed. A voltage transformer is an electrical device that transforms high voltage into low voltage for measurement using a standard voltmeter. The secondary circuit of a voltage transformer refers to the circuits led out from its secondary windings, which are connected to secondary equipment such as measuring instruments and relay protection devices, used to measure and protect voltage in the power system. A current transformer is an electrical device that transforms large current into small current for measurement using a standard ammeter. Similar to a voltage transformer, the secondary circuit of a current transformer also refers to the circuits led out from its secondary windings, which are connected to secondary equipment such as measuring instruments and relays.

[0054] Analog voltage signals refer to the voltage signals output from the secondary side of a voltage transformer (PT). These signals are in analog form and are used to reflect the voltage level and phase information of the primary system.

[0055] Analog current: refers to the current signal output from the secondary side of a current transformer (CT). It also exists in analog form and is used to reflect the magnitude and phase information of the current in the primary system.

[0056] Protection panel panels are cabinets in substations used to install and protect equipment, primarily including various relay protection devices. These devices monitor and protect the power system by receiving analog voltage and current signals. When an anomaly or fault is detected, they promptly issue trip signals to disconnect faulty equipment, ensuring the stable operation of the power system. In conventional substations, the protection panel panel is the centralized access point for analog voltage and current signals. However, in smart substations, the analog output signals of current transformers are located in the merging units of each bay, while the analog output signals of voltage transformers are located in the bus voltage merging unit. The bay merging unit is one of the key pieces of equipment in a smart substation, located in each bay (such as line bays, transformer bays, etc.). Its main function is to receive the analog current signals from the secondary current transformers and perform sampling, digitization, and synchronization processing. The implementation of bay merging units allows the physical location of analog current signals to be distributed across various bays, no longer confined to the protection panel panel. The bus voltage merging unit is also located in a smart substation, but it is a dedicated merging unit for handling bus voltage. It receives analog secondary voltage signals from voltage transformers and samples, digitizes, and synchronizes them. The existence of the bus voltage merging unit means that the physical location of the analog voltage signals is no longer limited to the protection device panel, but can be centrally processed and shared with intelligent equipment throughout the substation. This physical dispersion makes traditional load testing difficult.

[0057] The load testing method provided in this application equips multiple measurement points with a lower-level computer module, enabling parallel data acquisition. By sending a load test start command, the lower-level computer module is automatically controlled to acquire data. By modifying the content of the load test start command, the sampling time point, target measurement point, and sampled electrical parameters can be flexibly configured according to the specific needs of the substation. A preset data fusion model is used to fuse the acquired electrical parameters, standardizing the various electrical parameter data and enhancing data consistency. The rapid return and processing of test data acquisition results allows for real-time substation performance evaluation, enabling timely detection and resolution of potential problems. The distributed deployment of the lower-level computer module adapts to the physical layout of smart substations, solving the technical problem of difficult load testing caused by the secondary output analog quantities of current and voltage being dispersed across different merging units.

[0058] Figure 1 is a schematic diagram of the load testing method provided in this application. As shown in Figure 1, the host computer module 101 is connected to multiple slave computer modules 102. The multiple slave computer modules 102 are deployed at multiple measurement points in the substation to simultaneously collect electrical parameters from multiple measurement points. After the host computer module 101 obtains the test data collection results returned by the multiple slave computer modules 102, it analyzes and processes these data to automatically generate performance evaluation results for the substation.

[0059] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0060] Figure 2 is a flowchart illustrating the load testing method provided in this application. As shown in Figure 2, multiple measurement points in the substation are equipped with lower-level modules. These lower-level modules are used to collect the electrical parameters of the secondary output signals of the current transformers and the electrical parameters of the secondary output signals of the voltage transformers in the substation. The multiple measurement points include a bay merging unit and a bus voltage merging unit. The method includes:

[0061] S201. Send the load test start command to the target lower-level machine module. The load test start command indicates the sampling time point, the target measurement point, and the sampling electrical parameters. The target measurement point is the measurement point where the load test is performed. The sampling electrical parameters include at least one of amplitude, phase, and frequency. The target lower-level machine module is the lower-level machine module equipped at the target measurement point.

[0062] The sampling time point specifies when electrical parameters are collected, ensuring that all measurement points are sampled synchronously.

[0063] The target measurement point is the specific measurement point that needs to be tested under load.

[0064] The sampled electrical parameters are the types of electrical parameters that are sampled, including at least one of amplitude, phase, and frequency.

[0065] In this embodiment, the host computer module can provide a user-friendly interface, allowing users to input and adjust test parameters. The interface may include option menus, input boxes, and other controls to allow users to specify detailed test information. Users can specify the start time and duration of the test to ensure it occurs within a suitable time window. Users select the specific measurement points to be tested, such as interval merging units or bus voltage merging units. Users can select the type of electrical parameters to be acquired. Based on the user-input test parameters, the host computer module automatically generates a load test start command. The host computer module then sends the generated start command to the target slave computer module.

[0066] S202. Obtain the test data acquisition results returned by the target lower-level machine module in response to the load test start command. The test data acquisition results include electrical parameter fusion data, which is generated by the target lower-level machine module after fusing the acquired electrical parameters using a preset data fusion model.

[0067] The data fusion model can include algorithms to standardize the data. By using the data fusion model, data consistency and reliability are ensured, providing high-quality data support for substation performance evaluation.

[0068] S203. Based on the test data collection results, generate the substation performance evaluation results.

[0069] The collected test data is used to evaluate the performance of the substation.

[0070] The load testing method provided in this application embodiment is equipped with a lower-level machine module at multiple measurement points simultaneously, enabling parallel data acquisition. By sending a load test start command, the lower-level machine module is automatically controlled to collect data. By modifying the content of the load test start command, the sampling time point, target measurement point, and sampled electrical parameters can be flexibly configured according to the specific needs of the substation. A preset data fusion model is used to fuse the collected electrical parameters, standardizing the various electrical parameter data and enhancing data consistency. The rapid return and processing of test data acquisition results allows for real-time performance evaluation of the substation, enabling timely detection and resolution of potential problems. The distributed deployment of the lower-level machine module adapts to the physical layout of smart substations, achieving the effect of simultaneous load testing at physically dispersed measurement points, thus accommodating the layout characteristics of smart substations.

[0071] Figure 3 is a flowchart illustrating the load testing method provided in this application. As shown in Figure 3, this embodiment, based on the embodiment in Figure 2, provides a detailed description of the load testing method. Multiple measurement points in the substation are equipped with lower-level modules. These lower-level modules are used to collect the electrical parameters of the secondary output signals of the current transformers and the electrical parameters of the secondary output signals of the voltage transformers in the substation. The multiple measurement points include a bay merging unit and a bus voltage merging unit. The method includes:

[0072] S301. Send the load test start command to the target lower-level machine module. The load test start command indicates the sampling time point, the target measurement point, and the sampling electrical parameters. The target measurement point is the measurement point where the load test is performed. The sampling electrical parameters include at least one of amplitude, phase, and frequency. The target lower-level machine module is the lower-level machine module equipped at the target measurement point.

[0073] Referring to Figure 4, which is a schematic diagram of the user interface of the secondary circuit load testing system provided in this application, it includes functional modules such as "Enter Test," "Data View," "Test Parameter Settings," "Communication Settings," "Clock Settings," and "Version Information." After the user clicks the "Enter Test" button, the system begins executing the preset test procedure and sends a start command to the lower-level computer module. The "Data View" module provides a visual analysis tool to view and analyze the collected test data. The "Test Parameter Settings" module allows users to configure test parameters, including setting the sampling time point, target measurement point, and sampling electrical parameters. The "Communication Settings" module allows users to set network connection parameters, such as IP address, port number, and communication protocol, to ensure effective communication between the upper-level and lower-level computer modules. The "Clock Settings" module allows users to set or calibrate the system clock to ensure time synchronization at all measurement points. The "Version Information" module allows users to view the current system version number, update date, and other relevant information. By performing corresponding operations on the user interface of the secondary circuit load testing system, a load test start command can be generated.

[0074] In this embodiment, the lower-level module may include multiple current signal detection channels and multiple voltage signal detection channels, suitable for detecting three-phase voltage signals, and adaptable to detecting three-phase current signals and possible zero-sequence current. The lower-level module has a built-in processor responsible for processing the acquired electrical parameters and performing necessary calculations and recording. The lower-level module may be equipped with a 485 communication interface, a Bluetooth wireless communication interface, and a USB communication interface. It can adopt the standard MODBUS protocol for easy compatibility with other devices. The lower-level module supports three baud rates: 9600, 19200, and 115200, providing flexible communication speed selection to adapt to different network environments.

[0075] S302. Obtain the test data acquisition results returned by the target lower-level module in response to the load test start command. The test data acquisition results include electrical parameter fusion data, which is generated by the target lower-level module after fusing the acquired electrical parameters using a preset data fusion model.

[0076] In one possible implementation, the target lower-level computer module is further configured to denoise the collected electrical parameters using a preset filtering algorithm, perform data fusion processing on the denoised electrical parameters using a preset data fusion model, perform density analysis on the electrical parameter fusion data generated by data fusion, and send the electrical parameter fusion data to the upper-level computer module when the density of the electrical parameter fusion data meets a preset density condition.

[0077] The above operations can ensure the validity of the data obtained by the host computer module.

[0078] In one possible implementation, the target lower-level machine module is also used to perform noise reduction processing on the acquired electrical parameters using a three-state median filtering algorithm.

[0079] The noise reduction process is shown below:

[0080]

[0081] in This represents the set of electrical parameters after noise reduction, where These represent different denoising models or algorithms; M is an index value, which can be 1, 2, or 3, corresponding to different denoising models; c represents different times; and d represents electrical parameters at different times. This represents the three-state median filtered value of the electrical parameters; Represents the original set of electrical parameters; This represents the filtering threshold.

[0082] For the denoised electrical parameters, data fusion processing is performed to integrate electrical parameters from different time points and the model parameters of the data fusion model. It can be determined based on the following formula:

[0083]

[0084] The model parameters of the data fusion model are optimized by minimizing the loss function.

[0085] In one possible implementation, the target lower-level machine module is also used to perform density analysis on the electrical parameter fusion data generated by data fusion using the t-nearest neighbor distance concept.

[0086] For the fused electrical parameter data generated by data fusion, density analysis is performed using the t-nearest neighbor distance concept. The density analysis calculation process is shown below:

[0087]

[0088] in, Represents the data object used for density analysis; Representation and data object Other data objects to be compared; subscripts a and b are used to indicate different data objects; Represents data objects The density; Indicates the neighborhood distance threshold; This is a distance calculation function; y represents the value-finding function; m represents the total number of data objects.

[0089] In one possible implementation, the target lower-level computer module is also used to send the electrical parameter fusion data to the upper-level computer module when the electrical parameter data of each type meets the preset density condition of the corresponding type.

[0090] In this embodiment, density analysis is performed on the fused electrical parameter data to assess the density of data points. Corresponding density conditions are set for each type of electrical parameter data (such as amplitude, phase, and frequency). Only when each type of electrical parameter data in the fused electrical parameter data meets its corresponding preset density condition will it be sent to the host computer module, ensuring that the data received by the host computer module is valuable and representative.

[0091] S303, Determine the reference voltage signal.

[0092] Choose a stable voltage signal with a known phase as the reference signal. Typically, this signal comes from a critical node or busbar in the substation.

[0093] S304. Calculate the phase of the current signal in the test data acquisition results relative to the reference voltage signal, and calculate the phase of the voltage signal in the test data acquisition results relative to the reference voltage signal, and draw a phasor diagram based on the calculation results.

[0094] Phase calculations are performed on the current and voltage signals from the test data acquisition results to determine their phase angles relative to the reference voltage signal. Phasor diagrams are then drawn using these phase angles, showing the amplitude and phase relationship of each signal.

[0095] S305. Analyze the phasor diagram to determine whether the phase sequence of the current signal and the phase sequence of the voltage signal are correct, and generate the substation performance evaluation results based on the judgment results.

[0096] In one example, the three-phase current signals in a phasor diagram can be represented by yellow, green, and red colors, respectively, with the length of the vector lines representing the current magnitude. The phasor diagram provides a visual indication of whether the current signals are in positive phase sequence; by checking whether the magnitude and direction of the current on the three sides of any phase are balanced, it can be determined whether the secondary wiring of the current transformer for that phase is correct.

[0097] Test data acquisition results can be saved as a txt document; performance evaluation results can be printed in real time. The load testing method of this application provides a fast and effective basis for judging the conclusions of load tests, and also solves the problems of non-standard, time-consuming and inaccurate manual drawing, and eliminates the manual calculation process, significantly improving the efficiency and accuracy of load testing.

[0098] Referring to Figure 5, this is a schematic diagram of the test process for the load testing method provided in this application. The lower-level computer module collects the electrical parameters of the secondary output signals of the current transformers and voltage transformers in the substation; the collected electrical parameters are then subjected to noise reduction, data fusion processing, and density analysis; the fused electrical parameter data is sent to the upper-level computer module via a communication protocol; the upper-level computer module processes the fused electrical parameter data to generate performance evaluation results. This technical solution enables multi-point synchronous load testing of substations.

[0099] The load testing method provided in this application embodiment is equipped with a lower-level machine module at multiple measurement points simultaneously, enabling parallel data acquisition. By sending a load test start command, the lower-level machine module is automatically controlled to collect data. By modifying the content of the load test start command, the sampling time point, target measurement point, and sampled electrical parameters can be flexibly configured according to the specific needs of the substation. A preset data fusion model is used to fuse the collected electrical parameters, standardizing the various electrical parameter data and enhancing data consistency. The rapid return and processing of test data acquisition results allows for real-time performance evaluation of the substation, enabling timely detection and resolution of potential problems. The distributed deployment of the lower-level machine module adapts to the physical layout of smart substations, achieving the effect of simultaneous load testing at physically dispersed measurement points, thus accommodating the layout characteristics of smart substations.

[0100] Figure 6 is a schematic diagram of the load testing device provided in this application. As shown in Figure 6, multiple measurement points in the substation are equipped with lower-level modules. The lower-level modules are used to collect the electrical parameters of the secondary output signals of the current transformers in the substation and the electrical parameters of the secondary output signals of the voltage transformers in the substation. The multiple measurement points include a bay merging unit and a bus voltage merging unit. The load testing device 60 provided in this embodiment includes:

[0101] The sending module 601 is used to send a load test start command to the target lower-level machine module. The load test start command indicates the sampling time point, the target measurement point and the sampling electrical parameters. The target measurement point is the measurement point where the load test is performed. The sampling electrical parameters include at least one of amplitude, phase and frequency. The target lower-level machine module is the lower-level machine module equipped at the target measurement point.

[0102] The acquisition module 602 is used to acquire the test data acquisition results returned by the target lower-level module in response to the load test start command. The test data acquisition results include electrical parameter fusion data, which is generated by the target lower-level module after fusing the acquired electrical parameters using a preset data fusion model.

[0103] The generation module 603 is used to generate performance evaluation results for the substation based on the test data acquisition results.

[0104] In one possible implementation, the generation module is specifically used for:

[0105] Determine the reference voltage signal;

[0106] The phase of the current signal in the test data acquisition results is calculated relative to the reference voltage signal, and the phase of the voltage signal in the test data acquisition results is calculated relative to the reference voltage signal. Based on the calculation results, a phasor diagram is drawn.

[0107] Analyze the phasor diagram to determine whether the phase sequence of the current signal and the phase sequence of the voltage signal are correct, and generate the substation performance evaluation results based on the judgment results.

[0108] In one possible implementation,

[0109] The target lower-level computer module is also used to denoise the collected electrical parameters using a preset filtering algorithm, perform data fusion processing on the denoised electrical parameters using a preset data fusion model, perform density analysis on the electrical parameter fusion data generated by data fusion, and send the electrical parameter fusion data to the upper-level computer module when the density of the electrical parameter fusion data meets the preset density condition.

[0110] In one possible implementation,

[0111] The target lower-level machine module is also used to perform noise reduction processing on the collected electrical parameters using a three-state median filtering algorithm.

[0112] In one possible implementation,

[0113] The target lower-level machine module is also used to perform density analysis on the electrical parameter fusion data generated by data fusion using the t-nearest neighbor distance concept.

[0114] In one possible implementation,

[0115] The target lower-level computer module is also used to send the electrical parameter fusion data to the upper-level computer module when the electrical parameter data of each type meets the preset density conditions of the corresponding type.

[0116] The load testing device provided in this embodiment can execute the method provided in the above method embodiment. Its implementation principle and technical effect are similar, and will not be described in detail here.

[0117] Figure 7 is a schematic diagram of the load testing device provided in this application. As shown in Figure 7, the load testing device 70 provided in this embodiment includes at least one processor 701 and a memory 702. Optionally, the device 70 further includes a communication component 703. The processor 701, memory 702, and communication component 703 are connected via a bus.

[0118] In a specific implementation, at least one processor 701 executes computer execution instructions stored in memory 702, causing at least one processor 701 to perform the above-described method.

[0119] The specific implementation process of processor 701 can be found in the above method embodiments, and its implementation principle and technical effect are similar. It will not be repeated here.

[0120] In the above embodiments, it should be understood that the processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0121] The memory may include random access memory (RAM) and may also include non-volatile memory (NVM), such as at least one disk storage device.

[0122] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, the buses shown in the accompanying drawings are not limited to a single bus or a single type of bus.

[0123] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method.

[0124] This application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the above-described method.

[0125] The aforementioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0126] An exemplary readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can reside in an Application Specific Integrated Circuit (ASIC). Alternatively, the processor and the readable storage medium can exist as discrete components in the device.

[0127] The division of units is merely a logical functional division; in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0128] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0129] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0130] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0131] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0132] Finally, it should be noted that other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein, and is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

Claims

1. A method for load testing, characterized in that, Multiple measurement points in the substation are equipped with slave modules. These slave modules are used to collect electrical parameters of the secondary output signals of the current transformers and voltage transformers in the substation. The multiple measurement points include a bay merging unit and a bus voltage merging unit. The method includes: sending a load test start command to a target slave module, the load test start command indicating the sampling time point, target measurement point, and sampled electrical parameters. The target measurement point is the measurement point where the load test is performed. The sampled electrical parameters include at least one of amplitude, phase, and frequency. The target slave module is the slave module equipped at the target measurement point; acquiring the test data acquisition results returned by the target slave module in response to the load test start command, the test data acquisition results including fused electrical parameter data, which is generated by the target slave module using a preset data fusion model to fuse the collected electrical parameters; and generating a performance evaluation result for the substation based on the test data acquisition results.

2. The method according to claim 1, characterized in that, The step of generating a performance evaluation result for the substation based on the test data acquisition results includes: determining a reference voltage signal; calculating the phase of the current signal in the test data acquisition results relative to the reference voltage signal, and calculating the phase of the voltage signal in the test data acquisition results relative to the reference voltage signal, and drawing a phasor diagram based on the calculation results; analyzing the phasor diagram to determine whether the phase sequence of the current signal and the phase sequence of the voltage signal are correct, and generating a performance evaluation result for the substation based on the determination results.

3. The method according to any one of claims 1 or 2, characterized in that, The target lower-level computer module is also used to denoise the collected electrical parameters using a preset filtering algorithm, perform data fusion processing on the denoised electrical parameters using a preset data fusion model, perform density analysis on the electrical parameter fusion data generated by data fusion, and send the electrical parameter fusion data to the upper-level computer module when the density of the electrical parameter fusion data meets the preset density condition.

4. The method according to claim 3, characterized in that, The target lower-level machine module is also used to perform noise reduction processing on the collected electrical parameters using a three-state median filtering algorithm.

5. The method according to claim 3, characterized in that, The target lower-level machine module is also used to perform density analysis on the electrical parameter fusion data generated by data fusion using the t-nearest neighbor distance concept.

6. The method according to claim 3, characterized in that, The target lower-level computer module is also used to send the electrical parameter fusion data to the upper-level computer module when each type of electrical parameter data in the electrical parameter fusion data meets the preset density condition of the corresponding type.

7. A load testing device, characterized in that, The substation is equipped with multiple measurement points, each equipped with a lower-level machine module. These lower-level machine modules are used to collect electrical parameters of the secondary output signals of the current transformers and voltage transformers in the substation. The multiple measurement points include a bay merging unit and a bus voltage merging unit. The device includes: a sending module for sending a load test start command to a target lower-level machine module. The load test start command indicates the sampling time point, the target measurement point, and the sampled electrical parameters. The target measurement point is the measurement point where the load test is performed. The sampled electrical parameters include at least one of amplitude, phase, and frequency. The target lower-level machine module is the lower-level machine module equipped at the target measurement point. An acquisition module is used to acquire the test data acquisition results returned by the target lower-level machine module in response to the load test start command. The test data acquisition results include fused electrical parameter data, which is generated by the target lower-level machine module using a preset data fusion model to fuse the collected electrical parameters. A generation module is used to generate a performance evaluation result for the substation based on the test data acquisition results.

8. A load testing device, characterized in that, include: Memory, processor; The memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory, causing the processor to perform the method as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-6.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the method described in any one of claims 1-6.

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