Method and system for evaluating operation stability of hydroelectric generating set in deep peak regulation mode

Abstract

The invention discloses a hydroelectric generating set operation stability evaluation method and system in a deep peak regulation mode. The method comprises the steps of collecting quantitative characteristics of a first object; respectively establishing models of different dimensions by using the quantitative features; forming a coupling model of a composite dimension according to the models of different dimensions; performing simulation calculation on the stability adjustment process in the first operation area by using the coupling model; and performing stability analysis according to a simulation result. Potential risks can be effectively identified, a peak regulation strategy is optimized, the pressure and vibration influence of equipment under extreme working conditions is reduced, the service life of a unit is prolonged, and the maintenance cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of hydropower generation, and in particular to a method and system for evaluating the operating stability of a hydropower unit in a deep peak regulation mode. Background Art

[0002] On the one hand, with the large-scale access of wind power and photovoltaic power units, deep peak regulation of hydropower units has become one of the important options for absorbing wind power. Compared with conventional peak regulation, deep peak regulation requires a wider operating range of units and faster and more accurate load tracking. This will inevitably affect the stability of unit operation, so it is necessary to analyze the stability of hydropower units under deep peak regulation mode.

[0003] On the other hand, as the demand for flexible regulation capabilities in power systems grows, hydropower units are increasingly used in deep peak regulation (i.e., large-scale and rapid adjustment of output to adapt to changes in grid load demand). However, deep peak regulation operations can easily cause units to be subjected to extreme operating conditions, such as rapidly changing flow and pressure fluctuations, which poses a severe challenge to the stable operation of the units. Traditional evaluation methods are often based on single-dimensional numerical simulations, which are difficult to fully and accurately reflect the dynamic behavior of units in complex transition processes.

[0004] Therefore, it is particularly important to develop a stability assessment method that can comprehensively consider the multi-dimensional characteristics of the unit. Summary of the invention

[0005] In view of the above-mentioned problems, the present invention is proposed.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for evaluating the operating stability of a hydropower unit under a deep peak regulation mode, comprising:

[0007] collecting quantitative features of the first object;

[0008] Using the quantitative features, respectively establish models of different dimensions;

[0009] According to the models of different dimensions, a coupling model of composite dimensions is formed;

[0010] The coupling model is used to simulate the stability adjustment process in the first operation area;

[0011] Perform stability analysis based on the simulation results.

[0012] As a preferred solution of the method for evaluating the operating stability of a hydropower unit under the deep peak regulation mode described in the present invention, the quantitative characteristics include the main design parameters and operating parameters of the first object.

[0013] As a preferred solution of the method for evaluating the operating stability of a hydropower unit under the deep peak-shaving mode of the present invention, wherein: the models of different dimensions include a first model for numerical calculation and a second model for three-dimensional simulation constructed according to the quantitative characteristics;

[0014] A coupled model is obtained by coupling the first model and the second model.

[0015] As a preferred solution of the method for evaluating the operating stability of a hydropower unit under the deep peak load regulation mode of the present invention, wherein: the first operating area is an operating area where the stability of the first object is lower than a threshold value so as to constrain the operation; including but not limited to a prohibited operating area and a restricted operating area;

[0016] The coupling model is used to perform numerical simulation calculations of load reduction during the deep peak regulation transition process to simulate the dynamic behavior of the unit under different operating conditions.

[0017] As a preferred scheme of the method for evaluating the operating stability of a hydropower unit under the deep peak-shaving mode described in the present invention, the stability analysis includes performing a detailed analysis of the simulation results, extracting key stability indicators, and evaluating the operating stability of the unit under the deep peak-shaving mode.

[0018] As a preferred scheme of the method for evaluating the operating stability of a hydropower unit under the deep peak regulation mode described in the present invention, the first model also includes verifying the accuracy of the one-dimensional model by using actual operating data and existing test data through a simplified unit layout to ensure that the model can accurately reflect the dynamic response of the unit under extreme operating conditions.

[0019] As a preferred scheme of the method for evaluating the operating stability of a hydropower unit under the deep peak regulation mode described in the present invention, the second model also includes obtaining actual operating data through the external characteristic test of the unit, which is used to calibrate and verify the accuracy of the three-dimensional simulation model to ensure that the model can truly reflect the internal flow field characteristics of the unit.

[0020] A system for evaluating the operating stability of a hydropower unit in a deep peak-shaving mode using any of the methods described in the present invention, characterized in that:

[0021] A collection unit, collecting quantitative features of the first object;

[0022] A model building unit, using the quantitative features to respectively build models of different dimensions; and forming a coupling model of a composite dimension according to the models of different dimensions;

[0023] The simulation unit uses the coupling model to simulate and calculate the stability adjustment process in the first operation area;

[0024] The analysis unit performs stability analysis based on the simulation results.

[0025] A computer device comprises: a memory and a processor; the memory stores a computer program, wherein: the processor implements the steps of any one of the methods of the present invention when executing the computer program.

[0026] A computer-readable storage medium stores a computer program, wherein: when the computer program is executed by a processor, the steps of any one of the methods of the present invention are implemented.

[0027] Beneficial effects of the present invention: The method for evaluating the operating stability of a hydropower unit under deep peak-shaving mode provided by the present invention accurately evaluates the operating stability of a hydropower unit under deep peak-shaving conditions, thereby improving the accuracy and reliability of simulation results. By analyzing load fluctuations in prohibited and restricted operating areas, potential risks can be effectively identified, peak-shaving strategies can be optimized, the pressure and vibration impact of equipment under extreme conditions can be reduced, the service life of the unit can be extended, and maintenance costs can be reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0029] Figure 1 An overall flow chart of a method for evaluating the operating stability of a hydropower unit under a deep peak load regulation mode provided in the first embodiment of the present invention;

[0030] Figure 2 A comparison chart of load balancing rates of various algorithms under the same task request in a method for evaluating the operating stability of a hydropower unit under a deep peak-shaving mode provided by the first embodiment of the present invention;

[0031] Figure 3 An operation time diagram of a method for evaluating the operation stability of a hydropower unit under a deep peak load regulation mode provided by the first embodiment of the present invention at different repetition times;

[0032] Figure 4 A comparison of load balancing rates under different task numbers in a method for evaluating the operating stability of a hydropower unit in a deep peak-shaving mode provided by the first embodiment of the present invention;

[0033] Figure 5 A three-dimensional model of a hydropower station turbine for a method for evaluating the operating stability of a hydropower unit in a deep peak-shaving mode provided by a second embodiment of the present invention;

[0034] Figure 6 A method for evaluating the operating stability of a hydropower unit in a deep peak-shaving mode provided in a second embodiment of the present invention provides stability analysis results from the boundary of the unit from 100% full load to the prohibited operation area;

[0035] Figure 7 A method for evaluating the operating stability of a hydropower unit under a deep peak-shaving mode provided in a second embodiment of the present invention provides stability analysis results from the unit's 100% full load to the boundary of a restricted operating area. DETAILED DESCRIPTION

[0036] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0037] Example 1, reference Figure 1-4 , is an embodiment of the present invention, and provides a method for evaluating the operating stability of a hydropower unit in a deep peak regulation mode, comprising:

[0038] S1: Collecting quantitative features of a first object.

[0039] In this embodiment, the first object refers to a hydroelectric generator set, and further, the quantitative features include the main design parameters and operating parameters of the first object. The main design parameters include rated head, rated flow, rotation speed, guide vane geometry, pipe diameter, etc. The operating parameters include guide vane opening change rate, generator load change, etc.

[0040] In an optional embodiment, the first object may also be a wind turbine or a photovoltaic power generation system. For these two types of equipment, the quantitative characteristic data may include the following main design parameters and operating parameters: for wind turbines, the main design parameters are: rated wind speed, rated power, blade length and geometric dimensions, hub height, wind rotor diameter; operating parameters are: blade angle change rate, generator load change, real-time wind speed and direction, rotation speed, and power generation efficiency. For photovoltaic power generation systems, the main design parameters are: rated power, photovoltaic panel size, photovoltaic panel material, installation angle, connection method; operating parameters are: light intensity, ambient temperature, conversion efficiency, load change, power generation current and voltage.

[0041] S2: Using the quantitative features, respectively establish models of different dimensions.

[0042] Furthermore, the models of different dimensions include a first model for numerical calculation and a second model for stereoscopic simulation constructed according to the quantitative characteristics.

[0043] In the embodiments of the present application, a one-dimensional transition process numerical calculation model of a hydropower unit based on a characteristic line method and a three-dimensional simulation model of the hydropower unit are respectively established.

[0044] Specifically, a one-dimensional numerical calculation model is constructed based on the main design parameters and operating parameters of the hydropower unit. The one-dimensional model covers key components such as turbines, generators, speed governors, water diversion pipelines and surge tanks, and uses the characteristic line method to describe the flow characteristics of the fluid in the pipeline, including pressure wave propagation, flow rate changes, etc.

[0045] Furthermore, a one-dimensional model of the turbine is established through a neural network, such as Figure 2 As shown in the figure, the hydraulic turbine neural network consists of three parts: input layer, hidden layer and output layer. The number of neurons in the input layer depends on the type of hydraulic turbine: for a Francis turbine, the network input is unit speed and guide vane opening; the number of neurons in the hidden layer depends on the complexity of the model. The network output is unit flow or unit torque.

[0046] Furthermore, the one-dimensional model of the generator is established based on the first-order mathematical model of the generator, and the first-order generator-load model differential equation is used to describe its motion, which is expressed as:

[0047]

[0048] Where, T a is the unit inertia time constant, e n is the comprehensive self-regulation coefficient of the unit, e g GD is the electromagnetic power random group speed change rate, 2 is the flywheel torque, n r is the rated speed of the unit, P r is the rated output of the unit, m g is the relative value of load moment deviation, m t is the load moment, x t is the rotor speed per unit value, e x is the transfer coefficient of generator load torque to speed.

[0049] Based on the above formula, the first-order generator-load model transfer function can be deduced as follows:

[0050]

[0051] G g (s) is the first-order generator-load model transfer function, m t (s) is the load moment function, x t (s) is the rotor speed per unit value, and s is the Laplace operator.

[0052] The first-order generator-load model transfer function block diagram is as follows Figure 3 shown.

[0053] Furthermore, by Figure 4 The simplified unit layout shown, especially for the "shutdown" large fluctuation process, uses actual operating data or existing test data to verify the accuracy of the one-dimensional model to ensure that the model can accurately reflect the dynamic response of the unit under extreme operating conditions.

[0054] Furthermore, a three-dimensional geometric model including key components such as volute, fixed guide vanes, movable guide vanes, runner, and tailwater pipe was constructed, and numerical simulation was performed using computational fluid dynamics methods.

[0055] Furthermore, actual operating data is obtained through efficiency tests of the unit, etc., which is used to calibrate and verify the accuracy of the three-dimensional simulation model to ensure that the model can truly reflect the internal flow field characteristics of the unit, especially the dynamic changes during deep peak regulation.

[0056] In an optional embodiment, the first model and the second model can also be a one-dimensional and two-dimensional model established for a liquid pipeline transportation system. The one-dimensional model is mainly used to describe the flow characteristics of the liquid in the pipeline along the mainstream direction, and is suitable for quickly simulating flow, pressure changes and pressure wave propagation in the pipeline. The characteristic line method is used to describe the flow characteristics in the one-dimensional pipeline to simulate the propagation of pressure waves, flow changes and pressure drops under different working conditions. The characteristic line method can efficiently calculate the overall fluid dynamics characteristics of the pipeline system and provide boundary conditions for subsequent two-dimensional analysis. The two-dimensional model is used to simulate the fluid flow characteristics in a specific area, such as the local flow conditions of a pipeline elbow, a diffusion section or a contraction section. The model can accurately describe the flow velocity, pressure distribution and fluid stratification in a two-dimensional plane. The two-dimensional computational fluid dynamics (CFD) method is used for numerical simulation to analyze the flow field distribution and pressure changes at a specific pipeline structure (such as an elbow, a diverter, etc.). This method can capture the detailed changes in the local flow field, such as vortex formation and flow separation, and provide the necessary flow information for the one-dimensional model.

[0057] S3: Based on the models of different dimensions, a coupling model of composite dimensions is formed.

[0058] The coupling model is obtained by coupling the first model and the second model. Among them, the specific coupling method can be loose coupling: in this method, the one-dimensional and three-dimensional models are calculated alternately and exchanged through boundary condition data. For example, the output of the one-dimensional model (such as flow, pressure) is used as the input boundary condition of the three-dimensional model, and the calculation results of the three-dimensional model (such as local pressure fluctuations) are fed back to the one-dimensional model to update the overall state. The advantage of loose coupling is that the calculation efficiency is high and it is suitable for low-frequency dynamic response. Tight coupling: In the tight coupling method, the calculation of the one-dimensional and three-dimensional models is synchronized in time step and key data is shared in real time. This coupling method can achieve higher calculation accuracy and is suitable for the simulation of high-frequency dynamic change processes (such as rapid load fluctuations during deep peak regulation). Or: the dynamic feedback mechanism of the coupling model, the one-dimensional model is responsible for the simulation of the overall dynamic process, and the three-dimensional model provides detailed flow field information inside the key components. The data exchange between the two forms a dynamic feedback mechanism, which enables the model to be adaptively adjusted according to real-time feedback. For example, during deep peak load regulation, when the one-dimensional model detects load changes, it adjusts the flow rate, pressure and other boundary conditions in real time and transmits them to the three-dimensional model, thereby simulating accurate internal flow field fluctuations. The detailed fluid information (such as pressure fluctuations or turbulence characteristics) fed back by the three-dimensional model further optimizes the overall response accuracy of the one-dimensional model.

[0059] For the one-dimensional and two-dimensional models established for the liquid pipeline transportation system, the coupling method can be: the one-dimensional model provides boundary conditions (such as inlet flow velocity, pressure, etc.) for the two-dimensional local model, and the two-dimensional model feeds back detailed flow field information of the local area (such as local pressure drop, flow velocity distribution) to the one-dimensional model.

[0060] S4: Use the coupling model to simulate and calculate the stability adjustment process in the first operating area.

[0061] The first operation area is an operation area where the stability of the first object is lower than a threshold value, thereby constraining the operation. Furthermore, in the process of deep peak regulation of the unit, the stability of the unit operation must be ensured. The unit may vibrate violently at the boundary of the prohibited operation area, which is not conducive to the stable operation of the unit. Therefore, it is urgent to find out the situation of the unit running from 100% full load to the boundary of the prohibited operation area and the situation of the unit running from 100% full load to the boundary of the prohibited operation area.

[0062] Furthermore, the working water heads in the prohibited operation area and the restricted operation area are selected. Under these working water heads, the coupling model is used to carry out numerical simulation calculations of load reduction in the deep peak regulation transition process to simulate the dynamic behavior of the unit under different operating conditions, including pressure fluctuations, vibration responses, speed fluctuations, etc.

[0063] In this embodiment, the first operation area refers to the prohibited operation area and the restricted operation area, because the prohibited operation area and the restricted operation area are non-ideal operating conditions when the hydropower unit is operating. In these areas, due to the particularity of the working water head, the operating stability of the equipment is often lower than the safety threshold set by the system, which is easy to cause instability, such as frequent pressure fluctuations, vibrations, etc. The operation of these areas usually poses a greater threat to the long-term safety and stability of the equipment, so it is necessary to limit or prohibit operation under these conditions. The purpose of establishing the prohibited operation area and the restricted operation area is to avoid the risk of serious equipment damage and failure caused by operation in this area. For example, the prohibited operation area refers to the operating condition where the equipment cannot operate stably under a specific water head. If it continues to operate, it may cause serious mechanical shock or damage to the unit; while the restricted operation area is the operating condition where the equipment can operate but needs to be restricted, and the load, speed, etc. need to be strictly controlled to ensure the safety of the equipment. In these areas, the equipment is prone to high-frequency dynamic changes, such as rapid speed fluctuations, increased vibration and pressure changes. By numerically simulating the load reduction process in such areas through the coupling model, the dynamic behavior of the equipment when entering these areas can be analyzed, the unstable factors can be identified, and the adjustment scheme can be found to improve the stability of the system.

[0064] In an optional embodiment, this area can also be other operating areas that highlight control purposes and have the greatest feature requirements. For example, high load / full load operating areas, unstable flow areas, and transition load areas. In these areas, the control requirements for operation are high and the stability challenges are great. Through precise control of specific loads and dynamic behaviors, the stability of the equipment under these conditions can be effectively guaranteed. These areas are similar to prohibited operation areas and restricted operation areas, and both highlight control purposes and safety requirements.

[0065] S5: Perform stability analysis based on the simulation results.

[0066] Furthermore, the simulation results are analyzed in detail to extract the maximum value of pressure fluctuation, the amplitude of vibration response, the frequency and amplitude of speed fluctuation, etc. The key stability indicators such as surge tank water level, draft tube pressure, guide vane opening, maximum tailwater pressure, volute inlet pressure and torque are used to evaluate the operating stability of the unit in deep peak regulation mode.

[0067] On the other hand, this embodiment also provides a system for evaluating the operation stability of a hydropower unit in a peak load regulation mode, which includes:

[0068] The collecting unit collects the quantitative features of the first object.

[0069] The model building unit uses the quantitative features to build models of different dimensions respectively; and forms a coupling model of composite dimensions according to the models of different dimensions.

[0070] The simulation unit uses a coupling model to simulate and calculate the stability adjustment process in the first operating area.

[0071] The analysis unit performs stability analysis based on the simulation results.

[0072] If the above functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0073] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0074] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0075] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0076] Example 2, reference Figure 5-7 , which is an embodiment of the present invention, provides a method for evaluating the operating stability of a hydropower unit under a deep peak regulation mode. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0077] Through the efficiency test of the unit, actual operation data is obtained to calibrate and verify the accuracy of the 3D simulation model:

[0078] Table 1 Comparison of experimental results and calculated results

[0079] Guide vane opening / ° 7.20 7.95 13.77 13.81 20.8 25.7 Efficiency test value / % 80 88 94.75 96 96.58 95.94 Efficiency simulation value / % 73.8 80.01 96.69 96.72 95.16 95.14 error / % 7.75 9.07 2.04 0.75 1.47 0.833

[0080] Furthermore, as shown in Table 1, the efficiency test results and simulation results meet the calculation requirements and have a certain consistency with the experimental results. Overall, the error between the experimental values ​​and the simulation results is small under most working conditions, while the error is large under the condition of small guide vane opening (extreme working condition), but it is still within the allowable error.

[0081] exist Figure 5 In the three-dimensional model of the hydropower station turbine, the stability analysis results of the unit from 100% full load to the boundary of the prohibited operation area are as follows Figure 6 As shown in the figure, with the increase of working water head, the maximum pressure of the tailwater pipe shows a decreasing trend, the volute pressure and water hammer pressure first decrease and then increase, and the pressure value is the smallest when the water head is 134m. The water level fluctuation value of the surge chamber has a trend of first increasing and then decreasing, and the pressure value is larger when the water head is 134m. The stability analysis results of the unit from 100% full load to the boundary of the restricted operation area are shown in the figure. Figure 7 As shown in the figure, as the working water head increases, the maximum pressure of the tailwater pipe shows a decreasing trend, the volute pressure and water hammer pressure decrease first and then increase, and the pressure value is the smallest when the water head is 137m, and the water level fluctuation value of the surge chamber has a trend of increasing first and then decreasing, and the pressure value is larger when the water head is 131m.

[0082] It can be seen that the results can provide a reference for the stability analysis of hydropower units under deep peak regulation mode. According to the evaluation results, corresponding optimization suggestions or improvement measures can be put forward to improve the stability and safety of the units.

[0083] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for evaluating the operating stability of a hydropower unit under deep peak regulation mode, characterized in that: include: collecting quantitative features of the first object; Using the quantitative features, respectively establish models of different dimensions; According to the models of different dimensions, a coupling model of composite dimensions is formed; The coupling model is used to simulate the stability adjustment process in the first operation area; Perform stability analysis based on the simulation results.

2. The method for evaluating the operating stability of a hydropower unit under deep peak load regulation mode according to claim 1, characterized in that: The quantitative features include: The main design parameters and operating parameters of the first object.

3. The method for evaluating the operating stability of a hydropower unit under deep peak load regulation mode according to claim 2, characterized in that: The models of different dimensions include a first model for numerical calculation and a second model for three-dimensional simulation constructed according to the quantitative characteristics; A coupled model is obtained by coupling the first model and the second model.

4. The method for evaluating the operating stability of a hydropower unit under deep peak load regulation mode according to claim 3, characterized in that: The first operation area is an operation area where the stability of the first object is lower than a threshold value so that the operation is restricted; including but not limited to a prohibited operation area and a restricted operation area; The coupling model is used to perform numerical simulation calculations of load reduction during the deep peak regulation transition process to simulate the dynamic behavior of the unit under different operating conditions.

5. The method for evaluating the operating stability of a hydropower unit under deep peak load regulation mode according to claim 4, characterized in that: The stability analysis includes detailed analysis of simulation results, extraction of key stability indicators, and evaluation of the operating stability of the unit in deep peak load regulation mode.

6. The method for evaluating the operating stability of a hydropower unit under deep peak load regulation mode according to claim 3, characterized in that: The first model also includes verifying the accuracy of the one-dimensional model by using actual operating data and existing test data through a simplified unit layout to ensure that the model can accurately reflect the dynamic response of the unit under extreme operating conditions.

7. The method for evaluating the operating stability of a hydropower unit under deep peak load regulation mode according to claim 6, characterized in that: The second model also includes obtaining actual operating data through external characteristic tests of the unit to calibrate and verify the accuracy of the three-dimensional simulation model to ensure that the model can truly reflect the internal flow field characteristics of the unit.

8. A system for evaluating the operating stability of a hydropower unit in a deep peak load regulation mode using the method according to any one of claims 1 to 7, characterized in that: A collection unit, collecting quantitative features of the first object; A model building unit, using the quantitative features to respectively build models of different dimensions; and forming a coupling model of a composite dimension according to the models of different dimensions; The simulation unit uses the coupling model to simulate and calculate the stability adjustment process in the first operation area; The analysis unit performs stability analysis based on the simulation results.

9. A computer device comprising: A memory and a processor; the memory stores a computer program, wherein the processor implements the steps of any method as claimed in claim 1 when executing the computer program.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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