High-precision rotating speed detection simulation system and method for hydroelectric generating set

Abstract

The invention discloses a high-precision rotating speed detection simulation system and method for a hydroelectric generating set, and belongs to the technical field of hydroelectric generation. A hydroelectric generating set load model is constructed, and a flow function and a torque function of the hydroelectric generating set are imported into the hydroelectric generating set load model to calculate the output torque and the load torque of the hydroelectric generating set; importing a hydroelectric generating set rotation equation into the rotation speed evaluation model to evaluate the set rotation speed, constructing a similarity calculation model, importing a rotation speed deviation vector into the similarity model to calculate the rotation speed deviation similarity, and constructing a fault identification model. The historical rotating speed and the predicted rotating speed are imported into the fault recognition model for fault recognition, rotating speed prediction and alarm are conducted through operation simulation of the hydroelectric generating set, potential faults are recognized, and the safety and reliability of set operation are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of hydropower generation, and specifically relates to a high-precision rotational speed detection simulation system and method for a hydraulic generator set. Background Art

[0002] The stable operation of a hydraulic generator set is crucial for the reliability of the power system. As a key parameter of the operating state of a hydraulic generator set, the accurate detection of its rotational speed is of great significance for ensuring the safe and efficient operation of the unit. Existing rotational speed detection methods have problems such as insufficient accuracy, inability to comprehensively consider the influence of multiple operating parameters of the unit, and limited fault warning capabilities. In actual operation, the operating conditions of a hydraulic generator set are complex and variable, and parameters such as flow rate, water head, torque, and guide vane opening will all affect the rotational speed of the unit. However, traditional detection methods are difficult to comprehensively analyze these factors, resulting in the inability to timely and accurately reflect the true operating state of the unit and failing to meet the high requirements of modern hydropower generation for the operating stability and reliability of the unit.

[0003] The present invention provides a high-precision rotational speed detection system based on a physical model and dynamic simulation, which can real-time monitor the operating state of a hydraulic generator set, correct it in combination with actual measurement data, and based on the long-term accumulated operating data of the generator set, perform rotational speed prediction and alarm, identify potential faults, issue fault warnings, and improve the operating safety and reliability of the unit. Summary of the Invention

[0004] Aiming at the deficiencies of the existing technology, the present invention proposes a high-precision rotational speed detection simulation system and method for a hydraulic generator set. The present invention constructs a load model of the hydraulic generator set, imports the flow function and torque function of the hydraulic generator set into the load model of the hydraulic generator set to calculate the output torque and load torque of the water turbine unit, constructs a rotational speed evaluation model, imports the rotational equation of the hydraulic generator set into the rotational speed evaluation model to evaluate the rotational speed of the unit, constructs a similarity calculation model, imports the rotational speed deviation vector into the similarity model to calculate the rotational speed deviation similarity, constructs a fault identification model, imports the historical rotational speed and predicted rotational speed into the fault identification model to identify faults, and performs rotational speed prediction and alarm through the operation simulation of the hydraulic generator set, identify potential faults, and improve the operating safety and reliability of the unit.

[0005] To achieve the above object, the present invention provides the following technical solutions: A high-precision rotational speed detection simulation method for a hydraulic generator set, which includes the following specific steps: Construct a water turbine model, and import the operating parameters of the hydraulic generator set into the water turbine model for full characteristic curve calculation; Construct a load model of the hydraulic generator set, and import the flow function and torque function of the hydraulic generator set into the load model of the hydraulic generator set to calculate the output torque and load torque of the water turbine unit; Build a rotational speed evaluation model, import the rotational equation of the hydraulic generator set into the rotational speed evaluation model to evaluate the rotational speed of the unit; Build a similarity calculation model, import the rotational speed deviation vector into the similarity model to calculate the rotational speed deviation similarity; Build a fault identification model, import the historical rotational speed and predicted rotational speed into the fault identification model to conduct fault identification.

[0006] Preferably, the steps of building the turbine model and importing the operating parameters of the hydraulic generator set into the turbine model for calculating the full characteristic curve are as follows: S11. Obtain the rotational speed, flow rate, head, torque, and guide vane opening of the hydraulic generator set during operation through sensors, substitute the operating parameters of the hydraulic generator set into the full characteristic curve of the unit to calculate the flow function and torque function. Among them, the calculation formula of the flow function is: , and the calculation formula of the torque function is: , where is the relative value of the rotational speed of the unit, , q is the relative value of the flow rate, , h is the relative value of the head, , m is the relative value of the torque, , y is the relative value of the guide vane opening, , the superscript i is the operating state of the unit at the i-th moment, the subscript r is the reference value, and k1, C y and C h are both constants.

[0007] Preferably, the steps of building the load model of the hydraulic generator set and importing the flow function and torque function of the hydraulic generator set into the load model of the hydraulic generator set to calculate the output torque and load torque of the water turbine unit are as follows: S21. The hydraulic generator set adopts the first-order derivative differential equation model of the generator, substitute the output torque and load torque of the hydraulic generator set into the rotational equation of the hydraulic generator set. Among them, the rotational equation of the hydraulic generator set is: , where is the output torque of the water turbine unit, is the load torque of the water turbine unit, J is the moment of inertia of the hydraulic generator set, is the angular acceleration; S22. Substitute the flow function and torque function into the calculation formulas of the output torque and load torque of the water turbine unit to calculate the output torque and load torque of the water turbine unit. Among them, the calculation formula of the output torque of the water turbine unit is: , and the calculation formula of the load torque of the water turbine unit is: , where b is a constant, Pe is the load power of the hydroelectric unit, and w is the rotational angular velocity of the unit, For the operating efficiency of the unit, c is a constant, and 9.81 is the acceleration due to gravity. , is the flywheel moment of the unit. , where n is the rotational speed.

[0008] Preferably, for the construction of the rotational speed evaluation model, importing the rotational equation of the hydraulic generator set into the rotational speed evaluation model to evaluate the rotational speed of the unit includes the following specific steps: S31. Integrate the rotational equation of the hydraulic generator set to calculate the rotational speed of the hydraulic generator set. The formula for calculating the rotational speed of the unit at time t + t' is: , where n t is the rotational speed of the unit at time t, t' is the time interval. is the output torque of the unit at time t + t'. S32. Compare the predicted rotational speed of the unit at time t + t' with the actual rotational speed of the unit at time t + t' to calculate the rotational speed deviation. The formula for calculating the rotational speed deviation is: , where is the predicted rotational speed of the unit at time t + t'. is the actual rotational speed of the unit at time t + t'.

[0009] Preferably, for the construction of the similarity calculation model, importing the rotational speed deviation vector into the similarity model to calculate the rotational speed deviation similarity includes the following specific steps: Plot the predicted rotational speed and the actual rotational speed as a rotational speed curve. Substitute the actual rotational speed and the predicted rotational speed from the historical time t1 to t2 into the rotational speed deviation formula to calculate the rotational speed deviation, and generate a rotational speed deviation vector , substitute the actual rotational speed and the predicted rotational speed from time t to t + t' into the rotational speed deviation formula to calculate the rotational speed deviation, and generate a rotational speed deviation vector , where , substitute the rotational speed deviation vector into the similarity calculation formula to calculate the similarity of the rotational speed deviation vector. The similarity calculation formula is: .

[0010] Preferably, for the construction of the fault identification model, importing the historical rotational speed and the predicted rotational speed into the fault identification model to conduct fault identification includes the following specific steps: S51. According to the rotational speed curves of the historical rotational speed and the predicted rotational speed, conduct frequency domain analysis on the rotational speed data through Fourier transform, and calculate the fluctuation frequency and amplitude. The formula for calculating the fluctuation frequency is: , the formula for calculating the fluctuation amplitude is: , where T is the fluctuation period. and They are respectively the peak and valley values of the rotational speed within one cycle. If the fluctuation frequency f exceeds the normal range or the fluctuation amplitude A exceeds the normal range , it is determined as an abnormal mode; S52. Establish a fault database for rotational speed deviation, torque, flow rate, and head. When the similarity is less than the threshold, extract the characteristic parameters of the current unit operation state, compare them with the data in the fault feature library, and based on the comparison results, combined with the abnormal conditions of the fluctuation frequency and amplitude, determine the fault type and issue corresponding warning signals and provide fault handling suggestions.

[0011] A high-precision rotational speed detection simulation system for a hydraulic generator set is implemented based on the above-mentioned high-precision rotational speed detection simulation method for a hydraulic generator set, and specifically includes: A full characteristic curve module of the water turbine, which is used to import the operation parameters of the hydraulic generator set into the water turbine model for full characteristic curve calculation; A load module of the hydraulic generator set, which is used to import the flow function and torque function of the hydraulic generator set into the load model of the hydraulic generator set to calculate the output torque and load torque of the water turbine unit; A rotational speed evaluation module, which is used to import the rotational equation of the hydraulic generator set into the rotational speed evaluation model to evaluate the rotational speed of the unit; A similarity evaluation module, which is used to import the rotational speed deviation vector into the similarity model to calculate the rotational speed deviation similarity; A fault identification module, which is used to import the historical rotational speed and predicted rotational speed into the fault identification model for fault identification.

[0012] An electronic device includes: a processor and a memory, wherein, a computer program that can be called by the processor is stored in the memory; The processor executes the above-mentioned high-precision rotational speed detection simulation method for a hydraulic generator set by calling the computer program stored in the memory.

[0013] A computer-readable storage medium is characterized in that it stores instructions, and when the instructions run on a computer, the computer is made to execute the above-mentioned high-precision rotational speed detection simulation method for a hydraulic generator set.

[0014] Compared with the prior art, the beneficial effects of the present invention are: The present invention constructs a load model for a hydraulic generator set, imports the flow function and torque function of the hydraulic generator set into the load model of the hydraulic generator set to calculate the output torque and load torque of the water turbine unit, constructs a speed evaluation model, imports the rotation equation of the hydraulic generator set into the speed evaluation model to evaluate the unit speed, constructs a similarity calculation model, imports the speed deviation vector into the similarity model to calculate the speed deviation similarity, constructs a fault identification model, imports the historical speed and predicted speed into the fault identification model to conduct fault identification, and conducts speed prediction and alarm through the operation simulation of the hydraulic generator set to identify potential faults and improve the safety and reliability of the unit operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 is a schematic diagram of the overall process of a high-precision speed detection simulation method for a hydraulic generator set according to the present invention; Figure 2 is a flowchart of speed calculation; Figure 3 is a schematic diagram of the overall framework of a high-precision speed detection simulation system for a hydraulic generator set according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0016] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments.

[0017] Embodiment 1 Please refer to Figure 1-2 , an embodiment provided by the present invention: a high-precision speed detection simulation method for a hydraulic generator set, which includes the following specific steps: Construct a water turbine model, and import the operating parameters of the hydraulic generator set into the water turbine model for full characteristic curve calculation; Construct a load model for the hydraulic generator set, and import the flow function and torque function of the hydraulic generator set into the load model of the hydraulic generator set to calculate the output torque and load torque of the water turbine unit; Construct a speed evaluation model, and import the rotation equation of the hydraulic generator set into the speed evaluation model to evaluate the unit speed; Construct a similarity calculation model, and import the speed deviation vector into the similarity model to calculate the speed deviation similarity; Construct a fault identification model, and import the historical speed and predicted speed into the fault identification model to conduct fault identification.

[0018] In this embodiment, it should be specifically noted that constructing a water turbine model and importing the operating parameters of the hydraulic generator set into the water turbine model for full characteristic curve calculation includes the following specific steps: S11. Obtain the unit speed, flow rate, water head, torque, and guide vane opening parameters during the operation of the hydraulic generating unit through sensors. These sensors include, but are not limited to, speed sensors, flow sensors, pressure sensors, torque sensors, and displacement sensors. Substitute the operating parameters of the hydraulic generating unit into the unit full characteristic curve to calculate the flow function and torque function. Among them, the calculation formula for the flow function is: , and the calculation formula for the torque function is: , where is the relative value of the unit speed, , q is the relative value of the flow rate, , h is the relative value of the water head, , m is the relative value of the torque, , y is the relative value of the guide vane opening, , the superscript i is the operating state of the unit at the i-th moment, the subscript r is the reference value, and k1, C y and C h are all constants. The flow function is used to describe the dynamic characteristics of the water turbine inlet flow rate, which not only reflects the influence of water head, guide vane opening, and unit speed on the flow rate, but also the torque function directly determines the magnitude of the water turbine output torque.

[0019] Here, it should be specifically noted that a large amount of operating data of the hydraulic generating unit under different working conditions for a period of time is obtained, including unit speed, flow rate, water head, torque, and guide vane opening. Through the least squares method, the constant parameters k1, C y and C h in the flow function and torque function are fitted and optimized to make the function calculation results more consistent with the actual operating data. According to the actual operating conditions and changes in equipment performance, the constants in the load model are adjusted using the genetic algorithm to improve the accuracy and adaptability of the load model.

[0020] In this embodiment, it should be specifically noted that constructing a load model for the hydraulic generating unit and importing the flow function and torque function of the hydraulic generating unit into the load model of the hydraulic generating unit to calculate the output torque and load torque of the water turbine unit includes the following specific steps: S21. The hydraulic generating unit adopts the first-order derivative differential equation model of the generator, and substitutes the output torque and load torque of the hydraulic generating unit into the rotation equation of the hydraulic generating unit. Among them, the conventional rotation equation of the hydraulic generating unit is: , where is the output torque of the water turbine unit, is the load torque of the water turbine unit, J is the moment of inertia of the hydraulic generating unit, w is the angular velocity, is the angular acceleration. The rotation equation of the hydraulic generating unit can reflect the relationship between force and motion state changes during the rotation of the unit; S22. Substitute the flow function and torque function into the calculation formulas of the output torque and load torque of the hydraulic turbine unit to calculate the output torque and load torque of the hydraulic turbine unit. Among them, the calculation formula of the output torque of the hydraulic turbine unit is: The calculation formula of the load torque of the hydraulic turbine unit is: where b is a constant, Pe is the load power of the hydropower unit, w is the rotational angular velocity of the unit, is the operation efficiency of the unit, c is a constant, 9.81 is the acceleration due to gravity, is the flywheel torque of the unit, where n is the rotational speed. Calculate the output torque and load torque of the hydraulic turbine by combining the flow function and torque function. Through the parameters of flow, head, torque, and guide vane opening, dynamically evaluate the rotation process during the operation of the hydraulic generator set.

[0021] It should be specifically noted in this embodiment that to construct a rotational speed evaluation model and import the rotational equation of the hydraulic generator set into the rotational speed evaluation model to evaluate the rotational speed of the unit, the following specific steps are included: S31. Integrate the rotational equation of the hydraulic generator set to calculate the rotational speed of the hydraulic generator set. The calculation formula of the rotational speed of the unit at time t + t' is: where n t is the rotational speed of the unit at time t, t' is the time interval, is the output torque of the unit at time t + t'; S32. Compare the predicted rotational speed of the unit at time t + t' with the actual rotational speed of the unit at time t + t' to calculate the rotational speed deviation. Among them, the calculation formula of the rotational speed deviation is: where is the predicted rotational speed of the unit at time t + t', is the actual rotational speed of the unit at time t + t'.

[0022] It should be specifically noted in this embodiment that to construct a similarity calculation model and import the rotational speed deviation vector into the similarity model to calculate the rotational speed deviation similarity, the following specific steps are included: Plot the predicted rotational speed and the actual rotational speed as a rotational speed curve. Substitute the actual rotational speed and the predicted rotational speed from the historical time t1 to t2 into the rotational speed deviation formula to calculate the rotational speed deviation, and generate a rotational speed deviation vector Substitute the actual rotational speed and the predicted rotational speed from time t to time t + t' into the rotational speed deviation formula to calculate the rotational speed deviation, and generate a rotational speed deviation vector where Substitute the rotational speed deviation vector into the similarity calculation formula to calculate the similarity of the rotational speed deviation vector. Among them, the similarity calculation formula is: ​, evaluate the similarity between the current generator set speed and the previous stage speed through similarity calculation, and evaluate the operation status of the unit. Among them, is the modulus of the rotational speed deviation vector .

[0023] It should be specifically noted in this embodiment that the steps of constructing the fault identification model and importing the historical speed and predicted speed into the fault identification model for fault identification include the following specific steps: S51. According to the historical speed and predicted speed curves, perform frequency domain analysis on the speed data through Fourier transform, and calculate the fluctuation frequency and amplitude. Among them, the calculation formula for the fluctuation frequency is: , and the calculation formula for the fluctuation amplitude is: , where T is the fluctuation period, and are respectively the peak and valley values of the speed within one period. If the fluctuation frequency f exceeds the normal range or the fluctuation amplitude A exceeds the normal range , it is judged as an abnormal mode; S52. Establish a fault database for the rotational speed deviation, torque, flow rate, and water head. When the similarity is less than the threshold, extract the characteristic parameters of the current unit operation state, compare them with the data in the fault feature library, and based on the comparison results, combined with the abnormal conditions of the fluctuation frequency and amplitude, judge the fault type and send out corresponding warning signals to provide fault handling suggestions.

[0024] S521. According to the fluctuation frequency and amplitude, divide the abnormal conditions into high-frequency high-amplitude fluctuations, low-frequency high-amplitude fluctuations, and high-frequency low-amplitude fluctuations. High-frequency high-amplitude fluctuations may be caused by damaged turbine blades or stuck guide vanes, low-frequency high-amplitude fluctuations may be caused by generator failures or water head fluctuations, and high-frequency low-amplitude fluctuations may be caused by sensor noise or unstable control systems; S522. According to the type of abnormal conditions, remind the operator through an audible and visual alarm device and send a text message notification to the maintenance personnel. In the case of severe abnormalities, automatically trigger the unit shutdown command to prevent equipment damage.

[0025] Embodiment 2 As Figure 3As shown, a high-precision rotational speed detection simulation system for a hydraulic generator set is implemented based on the above-mentioned high-precision rotational speed detection simulation method for a hydraulic generator set. Specifically, it includes a water turbine full characteristic curve module, a hydraulic generator set load module, a rotational speed evaluation module, a similarity evaluation module, and a fault identification module. The water turbine full characteristic curve module is used to import the operating parameters of the hydraulic generator set into the water turbine model for full characteristic curve calculation; the hydraulic generator set load module is used to import the flow function and torque function of the hydraulic generator set into the hydraulic generator set load model to calculate the output torque and load torque of the water turbine unit; the rotational speed evaluation module is used to import the rotational equation of the hydraulic generator set into the rotational speed evaluation model to evaluate the rotational speed of the unit; the similarity evaluation module is used to import the rotational speed deviation vector into the similarity model to calculate the rotational speed deviation similarity; the fault identification module is used to import the historical rotational speed and predicted rotational speed into the fault identification model for fault identification.

[0026] Embodiment 3 This embodiment provides an electronic device, including: a processor and a memory, wherein, a computer program that can be called by the processor is stored in the memory; The processor executes the above-mentioned high-precision rotational speed detection simulation method for a hydraulic generator set by calling the computer program stored in the memory.

[0027] This electronic device may have relatively large differences due to different configurations or performances, and can include one or more processors (Central Processing Units, CPUs) and one or more memories. Among them, at least one computer program is stored in the memory, and this computer program is loaded and executed by the processor to implement the high-precision rotational speed detection simulation method provided by the above method embodiment. This electronic device can also include other components for implementing the functions of the device. For example, this electronic device can also have components such as wired or wireless network interfaces and input / output interfaces for data input and output. This embodiment will not be elaborated here.

[0028] Embodiment 4 This embodiment proposes a computer-readable storage medium, on which a rewritable computer program is stored; When the computer program runs on a computer device, it enables the computer device to execute the above-mentioned high-precision rotational speed detection simulation method for a hydraulic generator set.

[0029] For example, a computer-readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a compact disc read-only memory (CD-ROM), magnetic tape, floppy disk, optical data storage device, and the like.

[0030] It should be understood that in various embodiments of the present application, the order numbers of the above processes do not imply the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0031] It should be understood that determining B based on A does not mean determining B solely based on A, but also B can be determined based on A and / or other information.

[0032] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions according to the embodiments of the present invention are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via a wired network or / and a wireless network. The computer-readable storage medium can be any available medium that the computer can access or a data storage device such as a server or data center that contains one or more collections of available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0033] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed in the present invention can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. A professional technician can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0034] Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0035] In several embodiments provided by the present invention, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is only one division method, and there can be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling, direct coupling, or communication connection between each other can be through some interfaces, and the indirect coupling or communication connection of devices or units can be in electrical, mechanical, or other forms.

[0036] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0037] In addition, in each embodiment of the present invention, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0038] In the description of this specification, the descriptions referring to terms such as "one embodiment", "example", "specific example", etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0039] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not elaborate all the details, nor do they limit the present invention to only the specific implementation manners. Obviously, many modifications and variations can be made according to the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and utilize the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A high-precision rotational speed detection simulation method for a hydraulic generator set, characterized in that, It includes the following specific steps: Construct a load model for the hydraulic generator set, and import the flow function and torque function of the hydraulic generator set into the load model of the hydraulic generator set to calculate the output torque and load torque of the water turbine unit; Construct a speed evaluation model, and import the rotation equation of the hydraulic generator set into the speed evaluation model to evaluate the unit speed; Construct a similarity calculation model, and import the speed deviation vector into the similarity model to calculate the speed deviation similarity; Construct a fault identification model, and import the historical speed and predicted speed into the fault identification model to conduct fault identification.

2. The high-precision rotational speed detection simulation method of a hydraulic generator set according to claim 1, wherein The construction of the load model for the hydraulic generator set, and importing the flow function and torque function of the hydraulic generator set into the load model of the hydraulic generator set to calculate the output torque and load torque of the water turbine unit includes the following specific steps: S11. The hydraulic generator set adopts the first derivative differential equation model of the generator, and substitutes the output torque and load torque of the hydraulic generator set into the rotation equation of the hydraulic generator set. The rotation equation of the hydraulic generator set is as follows: , where is the output torque of the water turbine unit, is the load torque of the water turbine unit, J is the moment of inertia of the hydraulic generator set, is the angular acceleration; S12. Substitute the flow function and torque function into the calculation formulas of the output torque and load torque of the hydraulic turbine unit to calculate the output torque and load torque of the hydraulic turbine unit. The calculation formula of the output torque of the hydraulic turbine unit is: The calculation formula of the load torque of the hydraulic turbine unit is: where b is a constant, Pe is the load power of the hydropower unit, w is the rotational angular velocity of the unit, is the operating efficiency of the unit, c is a constant, 9.81 is the acceleration due to gravity, is the flywheel torque of the unit, where n is the rotational speed.​ 3. A high-precision rotational speed detection simulation method for a hydraulic generator set according to claim 2, characterized in that, The construction of the speed evaluation model, and importing the rotation equation of the hydraulic generator set into the speed evaluation model to evaluate the unit speed includes the following specific steps: S21. Integrate the rotational equation of the hydraulic generator set to calculate the rotational speed of the hydraulic generator set. The formula for calculating the rotational speed of the unit at time t + t' is: , where n t is the rotational speed of the unit at time t, t' is the time interval, is the output torque of the unit at time t + t'. S22. Compare the predicted unit speed at time t + t' with the actual unit speed at time t + t', and calculate the speed deviation. The formula for calculating the speed deviation is as follows: , where is the predicted unit speed at time t + t', is the actual unit speed at time t + t'.

4. A high-precision rotational speed detection simulation method for a hydraulic generator set according to claim 3, characterized in that, The construction of the similarity calculation model, and importing the speed deviation vector into the similarity model to calculate the speed deviation similarity includes the following specific steps: Plot the predicted speed and the actual speed as a speed curve, substitute the actual speed and the predicted speed from the historical time t1 to t2 into the speed deviation formula to calculate the speed deviation, and generate a speed deviation vector , substitute the actual speed and the predicted speed from time t to time t + t’ into the speed deviation formula to calculate the speed deviation, and generate a speed deviation vector , substitute the speed deviation vector into the similarity calculation formula to calculate the similarity of the speed deviation vector, where the similarity calculation formula is: .

5. A high-precision rotational speed detection simulation method for a hydroelectric power generation prediction rotational speed unit as described in claim 4, characterized in that, The construction of the fault identification model, and importing the historical speed and predicted speed into the fault identification model to conduct fault identification includes the following specific steps: S41. According to the historical speed and predicted speed curves, perform frequency domain analysis on the speed data through Fourier transform, calculate the fluctuation frequency and amplitude, identify potential fault modes based on the fluctuation characteristics, and monitor the periodic changes of the speed curve; S42. Establish a fault database for speed deviation, torque, flow rate, and water head. When the similarity is less than the threshold, extract the characteristic parameters of the current unit operating state, compare them with the data in the fault feature library, and based on the comparison results, combined with the abnormal conditions of the fluctuation frequency and amplitude, judge the fault type and issue corresponding warning signals, and provide fault handling suggestions.

6. A high-precision rotational speed detection simulation system for a hydraulic generator set, which is implemented based on the high-precision rotational speed detection simulation method for a hydraulic generator set according to any one of claims 1-6, and is characterized in that, Specifically, it includes: A hydraulic generator set load module, which is used to import the flow function and torque function of the hydraulic generator set into the load model of the hydraulic generator set to calculate the output torque and load torque of the water turbine unit; A speed evaluation module, which is used to import the rotation equation of the hydraulic generator set into the speed evaluation model to evaluate the unit speed; A similarity evaluation module, which is used to import the speed deviation vector into the similarity model to calculate the speed deviation similarity; A fault identification module, which is used to import the historical speed and predicted speed into the fault identification model to conduct fault identification.

7. An electronic device, comprising: A processor and a memory, wherein, computer programs that can be called by the processor are stored in the memory; It is characterized in that the processor executes a high-precision speed detection simulation method for a hydraulic generator set as described in any one of claims 1-5 by calling the computer programs stored in the memory.

8. A computer-readable storage medium, characterized in that, Instructions are stored, and when the instructions run on a computer, the computer is caused to execute a high-precision speed detection simulation method for a hydraulic generator set as described in any one of claims 1-5.

Images