1000MW unit load shedding simulation test method and system based on vibration analyzer

By using vibration analyzers and sensors in simulated load-shelter tests to monitor and analyze the vibration signals of power equipment in real time, the problem that existing test methods cannot accurately reflect the dynamic characteristics of the equipment is solved, and more accurate equipment performance evaluation and fault prediction are achieved.

CN119533826APending Publication Date: 2025-02-28DATANG DONGBEI ELECTRIC POWER TESTING & RES INST
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Patent Information

Application Number
CN202411465875.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-21
Publication Date
2025-02-28

AI Technical Summary

Technical Problem

The existing simulated load-sheltering test methods cannot accurately and comprehensively reflect the dynamic characteristics of power equipment, resulting in mechanical vibrations exceeding expectations in actual operation, resulting in loose or damage to the components.

Method used

Using a 1000MW unit simulation load-shelving test method based on vibration analyzer, the vibration signal of the equipment is monitored and analyzed in real time by building a test system, including power equipment, vibration analyzer, vibration sensor, data acquisition and processing unit and control unit.

Benefits of technology

By monitoring and analyzing vibration signals in real time, it can early identify possible equipment failures, reduce equipment damage and maintenance costs, improve the reliability of test results, and accurately reflect the actual performance of the equipment in the load-shelting process.

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Abstract

The invention discloses a 1000MW unit load shedding simulation test method and system based on a vibration analyzer, and relates to the technical field of power system tests. The problems that when a traditional simulation load shedding test is carried out on an existing thermal power generating unit, the equipment state is judged only according to electrical parameters, and after the load shedding working condition occurs in actual operation, it is found that mechanical vibration exceeding the expectation occurs in the equipment, and consequently part of components are loosened or even damaged are solved. The test method comprises the following steps: constructing a test system; setting an initial load condition through a control unit according to rated parameters and test requirements of the power equipment; starting the power equipment and operating according to the set parameters; changing a load value of the load device by the control unit at a predetermined time; the vibration analyzer collects vibration signals of the power equipment in real time in the load shedding process; and analyzing the vibration signal and comprehensively evaluating the power equipment. The method is applied to the technical field of thermal power generation.
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Description

Technical Field

[0001] The invention relates to the technical field of power system testing, and in particular to a 1000MW unit simulated load rejection test method based on a vibration analyzer. Background Art

[0002] In power systems, load shedding is a common operating condition that may have a significant impact on the stability and reliability of power equipment. In order to evaluate the performance of power equipment under load shedding conditions, it is very necessary to conduct simulated load shedding tests.

[0003] The existing simulated load shedding test method has certain limitations, mainly manifested in the inability to accurately and comprehensively reflect the dynamic characteristics of the equipment.

[0004] For example, in traditional simulated load shedding tests, equipment performance may be evaluated only by monitoring conventional electrical parameters such as voltage and current, while insufficient attention is paid to dynamic changes such as mechanical vibration generated by the equipment at the moment of load shedding. For example, when a 1000MW thermal power unit was subjected to a traditional simulated load shedding test, the equipment status was judged only based on electrical parameters. As a result, after a load shedding condition occurred in actual operation, it was found that the equipment had mechanical vibrations beyond expectations, causing some components to loosen or even be damaged. Summary of the invention

[0005] The present invention aims at the problem that when the conventional simulated load shedding test is performed on the existing thermal power unit, the equipment state is judged only according to the electrical parameters. As a result, after the load shedding condition occurs in the actual operation, it is found that the equipment has unexpected mechanical vibration, which causes some components to become loose or even damaged. A simulated load shedding test method for a 1000MW unit based on a vibration analyzer is proposed. The test method comprises:

[0006] Step 1: construct a test system, the test system comprising: power equipment, a vibration analyzer, a vibration sensor, a data acquisition and processing unit and a control unit, the power equipment being a 1000MW unit;

[0007] Step 2: Setting the initial load condition through the control unit according to the rated parameters of the power equipment and the test requirements;

[0008] Step 3: Start the power equipment and run it according to the set parameters;

[0009] Step 4: At a predetermined time, the load value of the load device is changed by the control unit;

[0010] Step 5: The vibration analyzer collects vibration signals of the power equipment in real time during the load shedding process;

[0011] Step 6: Analyze the vibration signal and conduct a comprehensive assessment of the power equipment.

[0012] Furthermore, a preferred method is proposed, wherein step 1 comprises:

[0013] The vibration sensors are installed at key parts of the 1000MW unit, including the rotating shaft, bearings, and casing. The vibration sensors are connected to the vibration analyzer via shielded cables, and the sensors transmit real-time vibration signals to the vibration analyzer.

[0014] The vibration analyzer transmits the collected vibration signal to the data acquisition and processing unit, and the data acquisition and processing unit performs filtering and noise reduction on the vibration data and sends it to the control unit;

[0015] The control unit receives data from the data acquisition and processing unit through the data bus and Ethernet, and sets the initial load conditions and the operating parameters of the 1000MW unit according to the rated parameters and test requirements of the 1000MW unit.

[0016] Furthermore, a preferred method is proposed, wherein step 2 comprises:

[0017] Set the load size, type, and load access method;

[0018] Set the voltage, current and speed of the electrical equipment.

[0019] Furthermore, a preferred method is proposed, wherein step 3 comprises:

[0020] During the operation of the equipment, closely monitor various parameters to ensure that they are within the normal range; observe the operating status of the equipment to check for abnormal noise and heat; if there is abnormal noise, immediately stop the equipment for inspection; if there is heat, take cooling measures;

[0021] Run the electrical equipment steadily for 15-30 minutes to allow the equipment to reach a thermally and mechanically stable state.

[0022] Furthermore, a preferred method is proposed, wherein step 4 comprises:

[0023] The load value of the load device is changed by quickly cutting off part of the load or changing the resistance or inductance of the load.

[0024] Furthermore, a preferred embodiment is proposed, wherein step 5 comprises:

[0025] The sampling frequency of the vibration analyzer is selected according to the vibration frequency of the power equipment and the test requirements, ensuring that the sampling frequency is 2-5 times the highest vibration frequency of the equipment;

[0026] The vibration analyzer converts the collected analog signals into digital signals and transmits the digital signals to the data acquisition and processing unit through a high-speed data transmission interface.

[0027] Furthermore, a preferred embodiment is proposed, wherein step 6 comprises:

[0028] Extract characteristic parameters of vibration signals, including: vibration frequency, amplitude, phase, and vibration shape;

[0029] The extracted vibration characteristic parameters are comprehensively analyzed with voltage, current and speed. By comparing the test results under different load change conditions, the mechanical performance, stability and dynamic response of the power equipment under load shedding are evaluated.

[0030] Based on the same inventive concept, the present invention also proposes a 1000MW unit simulated load rejection test system based on a vibration analyzer. The test system is implemented based on the above-mentioned test method, and the test system includes:

[0031] A test system construction unit, used to construct a test system, the test system comprising: power equipment, a vibration analyzer, a vibration sensor, a data acquisition and processing unit and a control unit, the power equipment being a 1000MW unit;

[0032] An initial unit, used to set initial load conditions through a control unit according to rated parameters of the power equipment and test requirements;

[0033] The operation unit is used to start the power equipment and operate it according to the set parameters;

[0034] A load control unit, used to change the load value of the load device through the control unit at a predetermined time;

[0035] A collection unit, used for the vibration analyzer to collect vibration signals of power equipment in real time during load shedding;

[0036] Evaluation unit for analyzing vibration signals and performing comprehensive evaluation of power equipment.

[0037] Based on the same inventive concept, the present invention also proposes a computer device, including a memory and a processor, wherein the memory stores a computer program. When the processor runs the computer program stored in the memory, the processor executes a 1000MW unit simulated load shedding test method based on a vibration analyzer as described in any one of the above items.

[0038] Based on the same inventive concept, the present invention also proposes a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of a 1000MW unit simulated load shedding test method based on a vibration analyzer as described in any of the above items are executed.

[0039] The present invention is beneficial in that:

[0040] Traditional load shedding tests mainly judge the status of equipment based on electrical parameters, and lack real-time monitoring and analysis of mechanical vibrations, resulting in unexpected mechanical vibrations in the equipment after load shedding in actual operation, causing loose or damaged components. In a 1000MW unit simulated load shedding test method based on a vibration analyzer proposed in the present invention, this technical difficulty is overcome by introducing a vibration analyzer and a vibration sensor to monitor the vibration of the equipment in real time. In the method proposed in the present invention, vibration signals are collected at a high sampling frequency by a vibration analyzer to ensure that the sampling frequency is 2-5 times the highest vibration frequency of the equipment. Achieving a high sampling frequency requires high-performance hardware equipment and data transmission interfaces, and at the same time, a large amount of sampled data must be processed, which places high demands on data storage and processing capabilities. In practical applications, if the sampling frequency is insufficient, the details of the vibration signal cannot be accurately captured, and important information may be missed.

[0041] In the 1000MW unit simulated load shedding test method based on a vibration analyzer proposed in the present invention, by real-time monitoring and analysis of vibration signals, possible equipment failures can be identified early, reducing equipment damage and maintenance costs. Furthermore, the present invention also combines electrical parameters with mechanical vibration signals for evaluation, making the test results more reliable and able to more accurately reflect the actual performance of the equipment during the load shedding process. By analyzing vibration data, a more scientific load change strategy can be formulated to improve the operating efficiency and stability of the unit and extend the service life of the equipment.

[0042] The invention is applied to the technical field of thermal power generation. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 This is a flow chart of a 1000MW unit simulated load rejection test method based on a vibration analyzer as described in Implementation Method 1. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments.

[0045] Implementation method 1, see Figure 1 The present embodiment is described as a 1000MW unit simulated load rejection test method based on a vibration analyzer, the test method comprising:

[0046] Step 1: construct a test system, the test system comprising: power equipment, a vibration analyzer, a vibration sensor, a data acquisition and processing unit and a control unit, the power equipment being a 1000MW unit;

[0047] Step 2: Setting the initial load condition through the control unit according to the rated parameters of the power equipment and the test requirements;

[0048] Step 3: Start the power equipment and run it according to the set parameters;

[0049] Step 4: At a predetermined time, the load value of the load device is changed by the control unit;

[0050] Step 5: The vibration analyzer collects vibration signals of the power equipment in real time during the load shedding process;

[0051] Step 6: Analyze the vibration signal and conduct a comprehensive assessment of the power equipment.

[0052] Traditional load shedding tests mainly judge the status of equipment based on electrical parameters, and lack real-time monitoring and analysis of mechanical vibrations, which results in unexpected mechanical vibrations in the equipment after load shedding in actual operation, causing loose or damaged components. In this embodiment, a vibration analyzer and vibration sensor mainly used for rotating machinery vibration monitoring are applied to the field of power equipment detection. Power equipment usually operates in a high voltage and high current environment, which will generate strong electromagnetic interference and affect the accuracy and reliability of the vibration signal. In this embodiment, the problem of inaccurate vibration signals is solved by a data acquisition and processing unit. This technical difficulty is overcome by real-time monitoring of equipment vibration.

[0053] In this embodiment, the vibration analyzer is used to collect vibration signals at a high sampling frequency to ensure that the sampling frequency is 2-5 times the highest vibration frequency of the device. Achieving a high sampling frequency requires high-performance hardware devices and data transmission interfaces, and at the same time, a large amount of sampled data must be processed, which places high demands on data storage and processing capabilities. In practical applications, if the sampling frequency is insufficient, the details of the vibration signal cannot be accurately captured, and important information may be missed.

[0054] In this embodiment, by real-time monitoring and analysis of vibration signals, possible equipment failures can be identified early, reducing equipment damage and maintenance costs. Furthermore, in this embodiment, the electrical parameters are combined with mechanical vibration signals for evaluation, making the test results more reliable and more accurately reflecting the actual performance of the equipment during load shedding. By analyzing vibration data, a more scientific load change strategy can be formulated to improve the operating efficiency and stability of the unit and extend the service life of the equipment.

[0055] Embodiment 2: This embodiment further limits the 1000MW unit simulated load rejection test method based on a vibration analyzer described in Embodiment 1, and the step 1 comprises:

[0056] The vibration sensors are installed at key parts of the 1000MW unit, including the rotating shaft, bearings, and casing. The vibration sensors are connected to the vibration analyzer via shielded cables, and the sensors transmit real-time vibration signals to the vibration analyzer.

[0057] The vibration analyzer transmits the collected vibration signal to the data acquisition and processing unit, and the data acquisition and processing unit performs filtering and noise reduction on the vibration data and sends it to the control unit;

[0058] The control unit receives data from the data acquisition and processing unit through the data bus and Ethernet, and sets the initial load conditions and the operating parameters of the 1000MW unit according to the rated parameters and test requirements of the 1000MW unit.

[0059] This implementation method takes into account that the installation position and method of the sensor have an important impact on the measurement results. Improper installation may lead to inaccurate measurements and may even cause equipment failure. By installing vibration sensors at key locations (shafts, bearings, and casings), real-time monitoring of the unit's operating status can be achieved. This real-time data acquisition capability ensures timely feedback on the unit's vibration characteristics during the load rejection test, so that potential operating problems can be quickly discovered and the safety and stability of the unit can be ensured. During installation, ensure that the sensor is in close contact with the surface being measured, and use appropriate fixtures and adhesives to prevent the sensor from loosening or shifting during the test. The connection between the sensor and the vibration analyzer should use a shielded cable to reduce the impact of external interference on the signal.

[0060] The vibration analyzer can collect and analyze vibration signals with high precision and transmit these signals to the data acquisition and processing unit. By filtering and denoising the vibration data, environmental noise and interference can be eliminated and valuable vibration information can be extracted. This precise vibration analysis provides a reliable data basis for subsequent fault diagnosis and status evaluation. The data acquisition and processing unit not only performs basic filtering and denoising, but also realizes intelligent data processing. For example, the historical operating data of the unit and the currently collected data can be compared and analyzed to more comprehensively evaluate the operating status of the unit, predict possible faults, and adjust the test parameters in time. The control unit receives data from the data acquisition and processing unit through the data bus and Ethernet, and can flexibly set the initial load conditions and operating parameters according to the rated parameters and test requirements of the unit. This flexibility allows the load rejection test to be adjusted according to different actual conditions, optimizing the pertinence and effectiveness of the test. Through the simulated load rejection test, the performance and safety of the unit under rapid load changes can be evaluated in a controlled environment. This test can help identify potential safety hazards, ensure the reliability of the unit in actual operation, and thus reduce the risk of accidents.

[0061] Embodiment 3: This embodiment further limits the 1000MW unit simulated load rejection test method based on a vibration analyzer described in Embodiment 1, and the step 2 includes:

[0062] Set the load size, type, and load access method;

[0063] Set the voltage, current and speed of the electrical equipment.

[0064] In this embodiment, the control unit sets the initial load conditions according to the rated parameters of the power equipment and the test requirements, thereby ensuring the accuracy of the test process. This precise setting makes the test results more reliable and helps to truly reflect the performance of the unit under actual working conditions.

[0065] Furthermore, each simulated load rejection test can be conducted under the same load conditions, which enhances the repeatability of the test. The standardized test method facilitates the comparative analysis of the performance of different units.

[0066] According to the specific test requirements, the load type (such as resistive load, inductive load, etc.) and access method (such as parallel connection, series connection) can be adjusted to simulate the unit response under different working conditions. This flexibility makes the test results more adaptable and can meet the needs of different scenarios.

[0067] The vibration analyzer can monitor the vibration and other operating parameters of the unit in real time, and adjust the load conditions in time during the load shedding process to ensure the safe operation of the equipment. This design reduces the risk during the test and protects the safety of the equipment.

[0068] By setting the initial load appropriately, the test requirements can be met quickly, thus improving the test efficiency. A faster test cycle makes equipment commissioning and performance evaluation more efficient.

[0069] Embodiment 4: This embodiment further limits the 1000MW unit simulated load rejection test method based on a vibration analyzer described in Embodiment 1, and step 3 includes:

[0070] During the operation of the equipment, closely monitor various parameters to ensure that they are within the normal range; observe the operating status of the equipment to check for abnormal noise and heat; if there is abnormal noise, immediately stop the equipment for inspection; if there is heat, take cooling measures;

[0071] Run the electrical equipment steadily for 15-30 minutes to allow the equipment to reach a thermally and mechanically stable state.

[0072] In this embodiment, by closely monitoring various parameters, abnormal conditions in equipment operation can be discovered in time to reduce the risk of equipment failure. In particular, rapid response to abnormal noise and heat generation can effectively prevent the spread of potential faults and ensure equipment safety. When abnormal noise is found, the equipment is immediately shut down for inspection. This measure can prevent the equipment from continuing to operate in a faulty state, thereby reducing equipment damage and downtime.

[0073] During the operation of the equipment, the equipment is operated according to the set parameters to ensure the consistency and repeatability of the test conditions, thereby improving the accuracy of the simulated load shedding test and obtaining more reliable test results. By allowing the power equipment to run stably for 15-30 minutes, the equipment is ensured to reach a thermally stable and mechanically stable state, which provides a good foundation for subsequent load shedding tests and ensures the validity of the test results.

[0074] By continuously observing the operating status of the equipment, it is possible to predict problems before they occur and take appropriate preventive measures. This not only improves the operating efficiency of the equipment, but also reduces downtime caused by failures. When heating problems occur, timely cooling measures can help keep the equipment in optimal working condition and avoid performance degradation or damage due to overheating.

[0075] Embodiment 5: This embodiment further limits the 1000MW unit simulated load rejection test method based on a vibration analyzer described in Embodiment 1, and step 4 includes:

[0076] Change the load value of the load device by quickly cutting off part of the load, changing the resistance value or inductance value of the load. The time and amplitude of the load change should be strictly in accordance with the test plan to accurately simulate the actual load shedding situation. At the moment of load change, close attention should be paid to the response of the power equipment and the changes of various monitoring parameters.

[0077] In this implementation, by quickly cutting off part of the load, load changes can be achieved in a short time, simulating transient operating conditions that the unit may encounter in actual operation. This rapid response can more realistically reflect the dynamic characteristics of the unit and help engineers evaluate the unit's ability to respond to emergencies.

[0078] Furthermore, in this embodiment, the method of changing the load resistance value or inductance value can flexibly adjust the characteristics of the load to meet different experimental requirements. This flexibility enables testers to perform multiple simulation tests under different working conditions and obtain more comprehensive data.

[0079] By precisely adjusting the resistance and inductance, the load change can be precisely controlled, thereby obtaining more accurate test data. This helps to improve the reliability of the test results and provide a more accurate basis for subsequent analysis.

[0080] Changing the load value can better simulate the load fluctuation in the power system, so that the operating characteristics and stability of the unit can be evaluated under conditions closer to reality. This is of great significance for optimizing the unit's operating strategy and improving its economy.

[0081] By changing the load in different ways, more abundant data can be obtained. These data not only help to analyze the dynamic response of the unit under load shedding conditions, but also provide important reference for unit design and operation optimization.

[0082] By quickly cutting off the load, the risk of equipment damage caused by excessive load during the experiment can be effectively avoided. This safety measure provides guarantee for the normal operation of the unit.

[0083] Embodiment 6: This embodiment further limits the 1000MW unit simulated load rejection test method based on a vibration analyzer described in Embodiment 1, and step 5 includes:

[0084] The sampling frequency of the vibration analyzer is selected according to the vibration frequency of the power equipment and the test requirements, ensuring that the sampling frequency is 2-5 times the highest vibration frequency of the equipment;

[0085] The vibration analyzer converts the collected analog signals into digital signals and transmits the digital signals to the data acquisition and processing unit through a high-speed data transmission interface.

[0086] After receiving the vibration signal, the data acquisition and processing unit uses a special signal processing algorithm and software to analyze it. First, the signal is filtered and denoised to remove interference and noise components. Then, the characteristic parameters of the vibration signal are extracted, such as vibration frequency, amplitude, phase, vibration mode, etc. These characteristic parameters can reflect the mechanical dynamic response and structural changes of the power equipment during the load shedding process.

[0087] In this embodiment, by setting the sampling frequency to 2-5 times the highest vibration frequency of the device, it can be ensured that the vibration signal will not be aliased after sampling, thereby obtaining accurate frequency components and ensuring that the details of the vibration signal can be accurately captured. This method can effectively avoid the problem of insufficient sampling and make the reconstruction of the vibration signal more accurate. The Nyquist theorem states that in order to accurately reconstruct a signal, the sampling frequency must be at least twice the highest frequency of the signal. This principle is called the Nyquist frequency. Sampling above the Nyquist frequency ensures the integrity of the signal, reduces the possibility of aliasing, and helps to obtain more reliable data in subsequent analysis. By transmitting the digital signal to the data acquisition and processing unit through a high-speed data transmission interface, the data transmission time can be greatly shortened and the efficiency of data processing can be improved. This is very important for real-time monitoring and rapid analysis.

[0088] The efficient data transmission in this embodiment makes real-time monitoring possible, which facilitates timely discovery and resolution of problems that may arise during the load rejection test. Digital signals are easier to process and analyze than analog signals. After the vibration analyzer converts the analog signal into a digital signal, it can use a variety of advanced digital signal processing algorithms, such as Fourier transform and time domain analysis, to conduct in-depth analysis of the vibration characteristics.

[0089] Embodiment 7: This embodiment further limits the 1000MW unit simulated load rejection test method based on a vibration analyzer described in Embodiment 1, and step 6 includes:

[0090] Extract characteristic parameters of vibration signals, including: vibration frequency, amplitude, phase, and vibration shape;

[0091] The extracted vibration characteristic parameters are comprehensively analyzed with voltage, current and speed. By comparing the test results under different load change conditions, the mechanical performance, stability and dynamic response of the power equipment under load shedding are evaluated.

[0092] Comprehensive analysis of the extracted vibration characteristic parameters with other related monitoring data, such as load and speed, requires solving the problem of integrating different types of data. These data come from different monitoring equipment and systems, with different units and dimensions. How to effectively integrate and comprehensively analyze the data to accurately evaluate the mechanical performance, stability and dynamic response of power equipment under load shedding is a technical difficulty.

[0093] In this embodiment, representative features are extracted for vibration characteristic parameters, load, speed and other data. For example, frequency, amplitude, phase and other features are extracted from the vibration signal; average load, peak load and other features are extracted from the load data; average speed, speed fluctuation and other features are extracted from the speed data. Through the feature selection algorithm, the most valuable features for comprehensive analysis are screened out, the data dimension is reduced, and the fusion efficiency and accuracy are improved. Different weights are assigned to different data according to their importance and reliability, and then the weighted sum is performed to obtain the fusion result. The determination of weights can be based on expert experience, data analysis or machine learning algorithms. For example, vibration characteristic parameters are more important for the evaluation of the mechanical properties of the equipment, and can be assigned a higher weight; while the load and speed data have a greater impact on the dynamic response of the equipment, and their weights can be appropriately increased.

[0094] In addition to traditional data such as vibration characteristic parameters, load and speed, other relevant monitoring data such as temperature, pressure, current, etc. can also be considered in this implementation. These multimodal data can provide more comprehensive equipment status information and help improve the accuracy of comprehensive analysis. Develop algorithms and models suitable for multimodal data fusion, make full use of the advantages of different types of data, and improve the effect of data fusion.

[0095] In this embodiment, the extracted vibration characteristic parameters are comprehensively analyzed with other relevant monitoring data, such as voltage, current, speed, etc. By comparing the test results under different load change conditions, the mechanical performance, stability and dynamic response of the power equipment under load shedding are evaluated. For example, it is observed whether the changes in vibration frequency and amplitude are within the design allowable range of the equipment to determine whether the equipment has resonance phenomenon or fatigue damage risk of mechanical structure.

[0096] In order to obtain more comprehensive and reliable test data, repeat the above test steps and adjust the load shedding amplitude, speed, load characteristics and other parameters. Conduct multiple groups of comparative tests to study the impact of different working conditions on the performance of power equipment. Through statistical analysis of a large amount of test data, the general laws and performance characteristics of power equipment under load shedding conditions can be obtained, providing a scientific basis for the optimal design and operation and maintenance of equipment.

[0097] Embodiment 8: A 1000MW unit simulated load rejection test system based on a vibration analyzer described in this embodiment is implemented based on the test method described in embodiment 1, and the test system includes:

[0098] A test system construction unit, used to construct a test system, the test system comprising: power equipment, a vibration analyzer, a vibration sensor, a data acquisition and processing unit and a control unit, the power equipment being a 1000MW unit;

[0099] An initial unit, used to set initial load conditions through a control unit according to rated parameters of the power equipment and test requirements;

[0100] The operation unit is used to start the power equipment and operate it according to the set parameters;

[0101] A load control unit, used to change the load value of the load device through the control unit at a predetermined time;

[0102] A collection unit, used for the vibration analyzer to collect vibration signals of power equipment in real time during load shedding;

[0103] Evaluation unit for analyzing vibration signals and performing comprehensive evaluation of power equipment.

[0104] Embodiment 9. A computer device described in this embodiment is characterized in that it includes a memory and a processor, wherein a computer program is stored in the memory, and when the processor runs the computer program stored in the memory, the processor executes a 1000MW unit simulated load shedding test method based on a vibration analyzer as described in any one of Embodiments 1 to 7.

[0105] Embodiment 10. A computer-readable storage medium described in this embodiment is characterized in that a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of a 1000MW unit simulated load shedding test method based on a vibration analyzer as described in any one of Embodiments 1 to 7.

[0106] Implementation eleven: This implementation provides two specific examples to verify the 1000MW unit simulated load rejection test method based on a vibration analyzer described in Implementation 1, specifically:

[0107] Example 1: Taking a certain type of steam turbine generator set as an example, acceleration-type vibration sensors are installed at key parts of the shaft system, such as the turbine journal, generator shaft end and main oil pump shaft. The initial load is set to 80% of the rated load. After the unit has been running stably for 30 minutes, the load is quickly reduced to 20% within 10 seconds by quickly disconnecting part of the resistance load. The vibration analyzer collects vibration signals at a sampling frequency of 20kHz. The data processing results show that the vibration frequency of the shaft system increases rapidly from 50Hz to 80Hz at the moment of load rejection, and the amplitude increases from 0.1mm to 0.3mm. After 2 minutes, it gradually returns to stability, the vibration frequency drops to 60Hz, and the amplitude drops to 0.15mm.

[0108] Example 2: For a certain type of hydro-turbine generator set, displacement-type vibration sensors are installed at the blade root, guide bearing and top cover of the runner. The initial load is set to 70% of the rated load. After running for 20 minutes, the load is reduced to 30% within 5 seconds by changing the inductance value of the inductive load. The sampling frequency of the vibration analyzer is 15kHz. The analysis results show that the vibration phase of the runner changes from the initial 30° to 120° during the load rejection process, reflecting the dynamic response characteristics of the water flow impact and mechanical structure inside the unit.

[0109] It can be seen from the above two embodiments that the 1000MW unit simulated load shedding test method based on a vibration analyzer proposed in the present invention can effectively simulate the load shedding process of a 1000MW unit. By simulating the load shedding process, observing and recording the vibration response of the unit when the load suddenly changes, the performance of the unit under dynamic conditions can be effectively evaluated, including its stability and vibration resistance.

[0110] Furthermore, the 1000MW unit simulated load rejection test method based on a vibration analyzer proposed in the present invention can reveal whether there are potential safety hazards in the unit under the condition of rapid load changes, and ensure the safety and reliability of the equipment under normal operation and abnormal conditions. This is crucial to prevent equipment failures and accidents.

[0111] By analyzing the vibration data, the key factors affecting the unit performance can be identified, and the operating parameters and load conditions of the unit can be optimized based on the analysis results, thereby improving the overall efficiency and economy of the unit.

[0112] During the test, by real-time monitoring of vibration signals, abnormal conditions of the equipment, such as imbalance, looseness or damage, can be discovered in advance, providing data support for subsequent fault diagnosis and maintenance.

[0113] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0114] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram and the combination of processes and / or blocks in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the process in the flowchart. Figure 1 A process or multiple processes and / or boxes Figure 1 These computer program instructions can also be stored in a computer-readable memory that can guide a computer or other programmable data processing device to work in a specific way, so that the instructions stored in the computer-readable memory produce a product including an instruction device, which implements the functions specified in the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0115] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0116] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit its protection scope. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that after reading the present invention, those skilled in the art can still make various changes, modifications or equivalent substitutions to the specific implementation methods of the invention, but these changes, modifications or equivalent substitutions are all within the protection scope of the pending claims of the invention.

Claims

1. A 1000MW unit simulated load rejection test method based on a vibration analyzer, characterized in that: The test method includes: Step 1, constructing a test system, the test system comprising: power equipment, a vibration analyzer, a vibration sensor, a data acquisition and processing unit and a control unit, the power equipment being a 1000MW unit; Step 2: Setting the initial load condition through the control unit according to the rated parameters of the power equipment and the test requirements; Step 3: Start the power equipment and run it according to the set parameters; Step 4: At a predetermined time, the load value of the load device is changed by the control unit; Step 5: The vibration analyzer collects vibration signals of the power equipment in real time during the load shedding process; Step 6: Analyze the vibration signal and conduct a comprehensive assessment of the power equipment.

2. A 1000MW unit simulated load rejection test method based on a vibration analyzer according to claim 1, characterized in that: The step 1 comprises: The vibration sensors are installed at key parts of the 1000MW unit, including the rotating shaft, bearings, and casing. The vibration sensors are connected to the vibration analyzer via shielded cables, and the sensors transmit real-time vibration signals to the vibration analyzer. The vibration analyzer transmits the collected vibration signal to the data acquisition and processing unit, and the data acquisition and processing unit performs filtering and noise reduction on the vibration data and sends it to the control unit; The control unit receives data from the data acquisition and processing unit through the data bus and Ethernet, and sets the initial load conditions and the operating parameters of the 1000MW unit according to the rated parameters and test requirements of the 1000MW unit.

3. The 1000MW unit simulated load rejection test method based on a vibration analyzer according to claim 1, characterized in that: The step 2 comprises: Set the load size, type, and load access method; Set the voltage, current and speed of the electrical equipment.

4. The 1000MW unit simulated load rejection test method based on a vibration analyzer according to claim 1, characterized in that: The step 3 comprises: During the operation of the equipment, closely monitor various parameters to ensure that they are within the normal range; observe the operating status of the equipment to check for abnormal noise and heat; if there is abnormal noise, immediately stop the equipment for inspection; if there is heat, take cooling measures; Run the electrical equipment steadily for 15-30 minutes to allow the equipment to reach thermal and mechanical stability.

5. The 1000MW unit simulated load rejection test method based on a vibration analyzer according to claim 1, characterized in that: The step 4 comprises: The load value of the load device is changed by quickly cutting off part of the load or changing the resistance or inductance of the load.

6. The 1000MW unit simulated load rejection test method based on a vibration analyzer according to claim 1, characterized in that: The step 5 comprises: The sampling frequency of the vibration analyzer is selected according to the vibration frequency of the power equipment and the test requirements, ensuring that the sampling frequency is 2-5 times the highest vibration frequency of the equipment; The vibration analyzer converts the collected analog signals into digital signals and transmits the digital signals to the data acquisition and processing unit through a high-speed data transmission interface.

7. The 1000MW unit simulated load rejection test method based on a vibration analyzer according to claim 1, characterized in that: The step 6 comprises: Extract characteristic parameters of vibration signals, including: vibration frequency, amplitude, phase, and vibration shape; The extracted vibration characteristic parameters are comprehensively analyzed with voltage, current and speed. By comparing the test results under different load change conditions, the mechanical performance, stability and dynamic response of the power equipment under load shedding are evaluated.

8. A 1000MW unit simulated load rejection test system based on a vibration analyzer, characterized in that: The test system comprises: A test system construction unit, used to construct a test system, the test system comprising: power equipment, a vibration analyzer, a vibration sensor, a data acquisition and processing unit and a control unit, the power equipment being a 1000MW unit; An initial unit, used to set initial load conditions through a control unit according to rated parameters of the power equipment and test requirements; The operation unit is used to start the power equipment and operate it according to the set parameters; A load control unit, used to change the load value of the load device through the control unit at a predetermined time; A collection unit, used for the vibration analyzer to collect vibration signals of power equipment in real time during load shedding; Evaluation unit for analyzing vibration signals and performing comprehensive evaluation of power equipment.

9. A computer device, characterized in that: It comprises a memory and a processor, wherein the memory stores a computer program, and when the processor runs the computer program stored in the memory, the processor executes a 1000MW unit simulated load rejection test method based on a vibration analyzer according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which, when executed by a processor, executes the steps of a 1000MW unit simulated load rejection test method based on a vibration analyzer as described in any one of claims 1 to 7.