Construction method, system, equipment and medium for fault analog simulation model of whole hydropower station

Abstract

The invention provides a construction method, system and equipment for a fault simulation model of a whole hydropower station and a medium. The construction method comprises the following steps: step 1, setting simulation objects of the fault simulation model of the whole hydropower station, and a simulation part, a simulation range, a simulation degree and a fault phenomenon corresponding to each simulation object; 2, based on a setting result in the step 1, constructing a simulation model corresponding to each simulation object; step 3, testing each simulation model; 4, constructing to obtain a fault model of each simulation object, and simulating a dynamic process when a fault occurs by using the fault model; according to the invention, the simulation and fault simulation system of the whole station of the hydropower station can maintain the simulation function of the operation characteristics of the field equipment and train the operation capability of the operation and maintenance personnel; a simulation operation and test environment is provided for advanced application of a water and electricity monitoring system, development and optimization of an intelligent module, analysis of equipment fault reasons and fault processing.

Description

Technical Field

[0001] The present invention belongs to the field of hydropower station modeling and power system simulation, and specifically relates to a method, system, equipment and medium for constructing a hydropower station full-station fault simulation model. Background Art

[0002] The existing traditional hydropower station simulation system focuses on simulating the operating characteristics of on-site equipment and conducting operational training for operation and maintenance personnel, that is, providing various operating characteristics of the simulation object through the simulation machine, simulating the computer monitoring system function of the simulation object through the operator station, simulating the operation of the on-site equipment through the on-site operation station, and controlling the operation of the simulation machine through the trainer station to realize the training function, monitor and evaluate the operation of the trainees.

[0003] Most existing simulation systems use mechanism models, that is, precise mathematical models established based on the internal mechanisms of objects, production processes, or material flow transfer mechanisms. However, building mechanism models requires a deep understanding of the internal operating mechanisms of the simulation objects, as well as accurate parameters and initial conditions, which makes the process of building and verifying mechanism models complex and resource-intensive. Summary of the invention

[0004] The purpose of the present invention is to provide a method, system, equipment and medium for constructing a hydropower station full-station fault simulation model, which solves the defects of the existing hydropower station full-station fault simulation system in that the construction process is complicated and the resource consumption is large.

[0005] In order to achieve the above object, the technical solution adopted by the present invention is: The present invention provides a method for constructing a hydropower station full-station fault simulation model, comprising the following steps: Step 1, setting the simulation objects of the fault simulation model of the whole hydropower station, as well as the simulation part, simulation range, simulation degree and fault phenomenon corresponding to each simulation object; Step 2: Based on the setting result of step 1, construct a simulation model corresponding to each simulation object; Step 3, testing each simulation model; Step 4: construct a fault model for each simulation object and use the fault model to simulate the dynamic process when the fault occurs.

[0006] Preferably, in step 1, the simulation object is set according to the importance of each system in the entire hydropower station; Set the corresponding simulation part according to the importance of each component in each simulation object; The simulation scope is determined according to the key components of the simulation part, the simulation degree is determined according to the main operating characteristics of the simulation part and the transition process of the working condition conversion, and the fault phenomenon is determined according to the typical fault occurrence mechanism of the simulation part.

[0007] Preferably, in step 3, each simulation model is tested, and the specific method is: Each simulation model is tested for completeness of simulation range, fidelity of static characteristics, stability, and dynamic characteristics.

[0008] Preferably, the integrity of the simulation range of each simulation model is judged by a static characteristic testing method.

[0009] Preferably, the static characteristic fidelity of each simulation model is tested, and the specific method is: By comparing the output of the simulation model and the output of the real system under the same specific input, the similarity between the simulation model and the real system in terms of static characteristics can be obtained, wherein the higher the similarity, the higher the fidelity.

[0010] Preferably, the stability and dynamic characteristics of each simulation model are tested by: Set up the transient simulation process suitable for each simulation model; According to the initial states of each state variable and external input corresponding to the transient simulation process, multiple types of transient simulation process types are constructed; Set ITAE index requirements for each type of transient simulation process to judge the dynamic characteristics of the transient process; Each type of transient simulation process is performed on each simulation model to test the stability and dynamic characteristics of each simulation model.

[0011] Preferably, in step 4, a fault model of each simulation object is constructed, and the specific method is: According to the fault phenomenon of each simulation part corresponding to each simulation object, a single fault cause is obtained; Determine the conditions and dynamic process of the fault; According to the acquired single fault cause, fault occurrence conditions and the dynamic process, a fault model is constructed.

[0012] A system for constructing a hydropower station fault simulation model, comprising: The simulation information setting unit is used to set the simulation objects of the fault simulation model of the whole hydropower station, as well as the simulation parts, simulation range, simulation degree and fault phenomena corresponding to each simulation object; A simulation model building unit, used to build a simulation model corresponding to each simulation object based on the setting result of the simulation information setting unit; A model testing unit, used to test each simulation model; The fault model construction unit is used to construct a fault model for each simulation object and use the fault model to simulate the dynamic process when the fault occurs.

[0013] A processing device comprises at least a processor and a memory, wherein a computer program is stored in the memory, and when the processor runs the computer program, the computer program is executed to implement the steps of the method.

[0014] A computer storage medium stores computer readable instructions thereon, wherein the computer readable instructions can be executed by a processor to implement the steps of the method.

[0015] Compared with the prior art, the present invention has the following beneficial effects: The present invention provides a method for constructing a full-station fault simulation model for a hydropower station. The method adopts a mathematical model and focuses on describing the behavior of the system through mathematical equations, data fitting and statistical methods. In the absence of detailed research on the internal operating mechanism of complex physical systems such as turbines, the mathematical model has certain applicability and high computational efficiency, and is suitable for rapid solution.

[0016] The hydropower station simulation and fault simulation system of the present invention not only retains the simulation function of the operating characteristics of the on-site equipment and the training of the operation and maintenance personnel, but also focuses on two aspects: First, it provides a simulation operation and testing environment for the development and optimization of advanced applications and intelligent modules of hydropower monitoring systems. In addition to the basic control logic represented by the sequential control process, the hydropower monitoring system is also widely embedded with advanced applications represented by AGC / AVC. The characteristic of this type of control logic is that it needs to optimize and solve the objective function with multiple constraints; in addition, a large number of studies on hydropower intelligent modules are still at the theoretical level. The characteristics of this type of control logic are to achieve online self-optimization of control parameters through self-perception, self-learning, self-decision-making, self-execution, and self-adaptation, but in terms of maturity, it does not yet have the conditions for large-scale application on site. The hydropower station simulation system of the present invention is closer to the real system than the traditional pure numerical simulation in terms of data transmission, model and data processing, thereby providing a good simulation operation and testing environment for the development and optimization of advanced applications and intelligent modules of hydropower monitoring systems.

[0017] Second, it fully explains the fault types and fault reproduction methods of each system in the hydropower station, and provides a simulation operation and testing environment for analyzing the cause of the fault and fault handling. Faults are abnormal operating conditions caused by reduced performance or loss of function of equipment. Therefore, fault simulation must rely on simulation models. The simulation model objects include turbines and auxiliary systems, generators and transformers and auxiliary systems, public systems, DC systems, plant power systems and switch stations. The faults of each system in the hydropower station are classified according to the fault phenomena occurring in each simulation part. By simulating the phenomenon when the fault occurs, that is, fault reproduction, a simulation operation and testing environment is provided for analyzing the cause of the fault and finding fault handling methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a simulation model block diagram of a speed regulation system according to an embodiment of the present invention; Figure 2 It is a schematic diagram of a speed regulation system integrated amplifier according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the electro-hydraulic conversion device, main pressure regulating valve, and relay of the speed control system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0019] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0020] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0021] It should also be understood that the term “and / or” used in the specification and appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0022] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0023] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0024] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0025] Example 1 The present embodiment provides a method for constructing a full-station fault simulation model for a hydropower station, which enables the full-station simulation and fault simulation system of the hydropower station to provide a simulation operation and testing environment for the development and optimization of advanced applications and intelligent modules of the hydropower monitoring system, as well as the analysis of equipment failure causes and fault handling, while retaining the simulation function of the operating characteristics of the on-site equipment and training the operation and maintenance personnel's operating capabilities.

[0026] The specific steps are as follows: Step 1, setting the simulation objects of the fault simulation model of the whole hydropower station, as well as the simulation part, simulation range, simulation degree and fault phenomenon corresponding to each simulation object; Step 2: Based on the setting result of step 1, construct a simulation model corresponding to each simulation object; Step 3, testing the simulation scope, degree and performance of each simulation model; Step 4, constructing a fault model for each simulation object; Step 5: Replace the original model with the fault model to simulate the dynamic process when the fault occurs.

[0027] Example 2 On the basis of Example 1, this embodiment provides a method for constructing a whole-station fault simulation model of a hydropower station. In step 1, a simulation object is set according to the importance of each system in the whole hydropower station; Set the corresponding simulation part according to the importance of each component in each simulation object; The simulation scope is determined according to the key components of the simulation part, the simulation degree is determined according to the main operating characteristics of the simulation part and the transition process of the working condition conversion, and the fault phenomenon is determined according to the typical fault occurrence mechanism of the simulation part.

[0028] The simulation objects include turbines and auxiliary systems, generator-transformer groups and auxiliary systems, public systems, DC systems, plant power systems and switch stations.

[0029] The simulation parts of the turbine and auxiliary system include the turbine, main valve / fast gate, oil pressure device system, technical water supply system, and speed control system, wherein the simulation range, simulation degree, and fault phenomenon corresponding to each simulation part are shown in Table 1.

[0030] The simulation parts of the generator-transformer group and auxiliary system include the generator, main transformer, generator output circuit breaker, excitation system and synchronization device, wherein the simulation range, simulation degree and fault phenomenon corresponding to each simulation part are shown in Table 2.

[0031] The public systems include maintenance, leakage drainage systems, and high and low pressure air compressors, wherein the simulation range, simulation degree and fault phenomenon corresponding to each simulation part are shown in Table 3.

[0032] The simulation parts of the DC system include a DC system battery, a DC system bus and a rectifier, wherein the simulation range, simulation degree and fault phenomenon corresponding to each simulation part are shown in Table 4.

[0033] The simulation parts of the plant power system include the plant transformer and the plant busbar, wherein the simulation range, simulation degree and fault phenomenon corresponding to each simulation part are shown in Table 5.

[0034] The simulation parts of the switch station include the switch station bus, branch lines, circuit breakers and disconnectors, wherein the simulation range, simulation degree and fault phenomenon corresponding to each simulation part are shown in Table 6.

[0035] Table 1 Simulation parts, simulation range, simulation degree and fault phenomena of turbine and auxiliary systems

[0036] Table 2 Simulation parts, simulation range, simulation degree and fault phenomena of the generator-transformer group and auxiliary systems

[0037] Table 3 Simulation parts, simulation range, simulation degree and fault phenomena of public systems

[0038] Table 4 Simulation location, simulation range, simulation degree and fault phenomenon of DC system

[0039] Table 5 Simulation location, simulation range, simulation degree and fault phenomenon of the power supply system

[0040] Table 6 Simulation location, simulation range, simulation degree and fault phenomenon of switch station

[0041] In step 3, a simulation test is performed on the simulation model of each simulation object. The specific method is: The test of simulation model includes three aspects: the integrity of the simulation range, the fidelity of the static characteristics of the model, and the stability and dynamic characteristics of the model. The following describes the simulation test method from these three aspects: 1) Completeness of model simulation scope Whether the test model fully reflects the characteristics of each component within the simulation scope through physical or mathematical modeling, mainly through the static characteristic test method to obtain the interaction relationship of each key state variable in the simulation model, to determine whether the simulation model has omitted some components within the simulation scope or omitted some characteristics of the components. For example: when it is necessary to test the integrity of the turbine simulation model, it is necessary to perform static characteristic tests on the torque characteristics and flow characteristics of the turbine model to determine whether the torque and working flow of the turbine are determined by the three factors of speed, guide vane opening, and water head.

[0042] 2) Fidelity of the static characteristics of the model It is mainly achieved by comparing the output of the simulation model with the output of the real system under the same specific input, and then obtaining the similarity between the simulation model and the real system in terms of static characteristics. The higher the similarity, the higher the fidelity. For example: When a certain speed, guide vane opening and water head are set as input, a set of torque and flow are obtained by interpolating on the comprehensive characteristic curve of the turbine, and a set of torque and flow are output through the turbine simulation model. The deviations of the two sets of torque and flow are compared. The smaller the deviation, the higher the similarity and realism.

[0043] 3) Stability and dynamic characteristics of the model Design a transient simulation process that is compatible with the simulation model to test the stability and dynamic characteristics of the simulation model, including: The stability of the model represents whether the state variables of the model can converge to a stable state during the transient simulation process; The dynamic characteristics of the model represent whether the state variables of the model can converge to a steady state quickly and with as little overshoot as possible during transient simulation.

[0044] The state variables in the transient simulation process and the real system dynamic process have roughly the same change trend. The dynamic changes of each state variable should not violate the laws of physics and conform to the analysis results of the relevant dynamic process. According to the different types of transient processes, corresponding ITAE index requirements are set to evaluate the dynamic characteristics of the transient processes.

[0045] In step 4, a fault model of each simulation object is constructed. The specific method is: According to the fault phenomenon of each simulation part corresponding to each simulation object, the possible single fault cause is analyzed. The same fault phenomenon may be caused by multiple reasons in the real system, or even the result of multiple fault causes working together. In order to accurately explore the transmission mechanism from the fault cause to the fault phenomenon, only a single fault cause is considered when reproducing the fault.

[0046] Determine the conditions for the occurrence of the fault and the dynamic process it is in. It is necessary to determine the initial state of each state variable of the simulation model and the dynamic process of the external input quantity when the fault occurs.

[0047] Construct a fault model and set fault parameters. According to the mechanism of the fault, construct a fault model and set the fault parameters to simulate the phenomenon when the fault occurs. The original model corresponding to the fault model is the overall model of the simulation object or a part of it.

[0048] The fault model is used to simulate the dynamic process when a fault occurs. The specific method is: The fault model is used to replace the original model and simulate the dynamic process when the fault occurs. The fault model is used to replace the original model and simulate a specific dynamic process to simulate the fault phenomenon. The mechanism of the fault is explored according to the dynamic change process of the key state variables of the simulation object during the fault simulation, and the corresponding fault handling method is proposed, so as to provide a reference for fault diagnosis.

[0049] Example 3 Taking the simulation part "speed control system" of the turbine and auxiliary system in the simulation model object as an example, a method for constructing a full-station fault simulation model of a hydropower station is described in detail below based on the attached drawings.

[0050] Figure 1The simulation model block diagram of the speed control system of this embodiment is shown in FIG. The simulation scope of the speed control system mainly includes an integrated amplifier, an electro-hydraulic conversion device (a proportional servo valve is used as an example in the figure), a main pressure distribution valve, a relay, and also includes a main distribution displacement sensor and a relay stroke sensor.

[0051] Figure 2 This is the schematic diagram of the integrated amplifier of the speed regulation system of this embodiment.

[0052] Figure 3 The schematic diagram of the proportional servo valve, main pressure regulating valve and servomotor of the speed regulating system of this embodiment is shown in FIG. The proportional servo valve is used as the pilot stage of the main pressure regulating valve, and its A port is connected to the control chamber of the main pressure regulating valve, its P port is connected to the pressure oil, and its T port is connected to the return oil; the A port of the main pressure regulating valve is connected to the servomotor opening chamber, the B port is connected to the servomotor closing chamber, the P port and the constant pressure chamber are connected to the pressure oil, and the T port is connected to the return oil.

[0053] Step 1: Construct a mathematical model of the "speed control system" of the simulation part set up is the control signal, is the relay stroke feedback, The displacement of the main coordination is given by For the main displacement feedback, is the zero deviation value of the control current, are the relative values ​​of the corresponding variables, and , is the relay stroke reference value, is the main displacement reference value, It is the reference value of control current.

[0054] Assume that the relative value of the dead zone of the relay stroke is The relative value of the main distribution displacement dead zone is , then: (1) (2) set up is the zero position deviation value of the valve core displacement of the proportional servo valve, from arrive The transfer relationship can be approximately expressed by a first-order differential equation, namely: (3) In the formula, is the proportional servo valve spool displacement time constant, is the gain factor.

[0055] Combined with the situation that the proportional servo valve core is in zero position, the pressure-flow characteristic equation of the proportional servo valve port A is: (4) In the formula, It is the pressure oil flow into the control chamber of the main pressure regulating valve. The pressure of the main pressure regulating valve control chamber, is the system oil supply pressure, is the flow coefficient of port A of the proportional servo valve, is the area gradient of port A of the proportional servo valve, is the oil density.

[0056] Ignoring the leakage of the connecting pipeline between the proportional servo valve A port and the main pressure regulating valve control chamber, the flow continuity equation of the main pressure regulating valve control chamber is: (5) In the formula, The effective area of ​​the main pressure regulating valve control chamber.

[0057] Taking the main pressure distribution valve core as an inertial load and a viscous load, the force balance equation about the main pressure distribution valve core can be established, so: (6) In the formula, The quality of the main valve core, The main valve core viscous damping coefficient, is the acceleration due to gravity, The effective working area of ​​the constant pressure chamber of the main pressure distribution valve.

[0058] Combined with the situation that the valve core of the main pressure regulating valve is in the zero position, the valve port flow equation of the main pressure regulating valve A port is formula (7), and the valve port flow equation of the main pressure regulating valve B port is formula (8): (7) (8) In the formula, It is the pressure oil flow from port A of the main pressure regulating valve to the opening of the servomotor. It is the pressure oil flow from the servomotor closing chamber to the main pressure regulating valve B port. , The valve port flow coefficient and area gradient of the A and B ports of the main pressure distribution valve, is the servomotor opening pressure, It is the closing chamber pressure of the relay.

[0059] Ignoring the leakage of the connecting pipelines between the A and B ports of the main pressure regulating valve and the open and closed chambers of the servomotor, the flow continuity equations of the open and closed chambers of the servomotor are: , , , are the effective action areas of the pistons in the opening and closing chambers of the servomotor, respectively. Combining the above two equations, we can get: (9) Taking the servomotor piston as an inertial load and a viscous load, the force balance equation about the servomotor piston can be established, so: (10) In the formula, is the total moving mass of the servomotor piston and the load, is the viscous damping coefficient of the servomotor piston.

[0060] Therefore, equations (1) to (10) constitute the mathematical model of the “speed control system” of the simulation part.

[0061] Step 2: Conduct simulation test on the speed control system model 1) Completeness of model simulation scope Through observation, we can see that the model of the integrated amplifier can reflect the transmission relationship from the control deviation of the main distribution stroke and the relay stroke to the control current; the model of the proportional servo valve can reflect its own flow characteristics; the model of the main pressure distribution valve can reflect its own pressure characteristics and flow characteristics; the relay model can reflect the transmission relationship from the pressure and flow of the pressure oil in the opening and closing chambers to the relay stroke. Therefore, the speed control system model can fully reflect the characteristics of each component within the simulation range.

[0062] Integrated amplifier: At a specific input , , , Observe and compare this link with the real system The output value of .

[0063] Proportional servo valve: At a specific input Observe and compare this link with the real system , The output value of .

[0064] Main pressure regulating valve: At specific input , Observe and compare this link with the real system , , , The output value of .

[0065] Relay: At a specific input , , , Observe and compare this link with the real system The output value of .

[0066] The smaller the deviation between the output of the above-mentioned links of the speed control system model and the actual system output, the higher the similarity and realism.

[0067] The transient simulation process includes: ① , , and Initial state; ② External input By combining the initial state of each state variable and the external input, the following three types of transient simulation processes are constructed: Table 7 Transient simulation process types

[0068] Determine whether the state variables of the model can converge to a stable state during the transient simulation process, and whether the state variables of the model can converge to a steady state quickly with the overshoot as small as possible (the corresponding ITAE index requirements can be set for evaluation).

[0069] Step 3: Reproduce the speed control system fault 1) According to the fault phenomenon of the main pressure distribution valve twitching, it is analyzed that it may be caused by the disappearance of the main distribution displacement feedback signal. At the same time, only the disappearance of the main distribution displacement feedback signal is considered as the single fault cause.

[0070] 2) Determine the transient simulation process during fault as type (a).

[0071] 3) Construct the fault model for the original model (2) as shown in the following table Table 8 Main distribution displacement feedback signal disappearance fault model

[0072] 4) Replace the original model with the fault model to simulate the dynamic process when the fault occurs. The dynamic change process of each key state variable, the fault occurrence mechanism and the corresponding fault handling method are as follows: Table 9 Fault analysis of main distribution displacement feedback signal disappearance

[0073] Example 4 The present embodiment provides a system for constructing a hydropower station fault simulation model, including: The simulation information setting unit is used to set the simulation objects of the fault simulation model of the whole hydropower station, as well as the simulation parts, simulation range, simulation degree and fault phenomena corresponding to each simulation object; A simulation model building unit, used to build a simulation model corresponding to each simulation object based on the setting result of the simulation information setting unit; A model testing unit, used to test each simulation model; The fault model construction unit is used to construct a fault model for each simulation object and use the fault model to simulate the dynamic process when the fault occurs.

[0074] Example 5 This embodiment provides a processing device corresponding to the method for constructing a hydropower station full-station fault simulation model provided in this embodiment 1. The processing device can be a processing device for a client, such as a mobile phone, a laptop computer, a tablet computer, a desktop computer, etc., to execute the method of embodiment 1.

[0075] The processing device includes a processor, a memory, a communication interface and a bus, and the processor, the memory and the communication interface are connected through the bus to complete mutual communication. The memory stores a computer program that can be run on the processor, and the processor executes a method for constructing a hydropower station full-station fault simulation model provided in this embodiment 1 when running the computer program.

[0076] In some embodiments, the memory may be a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk memory.

[0077] In other embodiments, the processor may be a central processing unit (CPU), a digital signal processor (DSP), or other general-purpose processors of various types, which are not limited herein.

[0078] Example 6 The method for constructing a hydropower station full-station fault simulation model of Example 1 can be specifically implemented as a computer program product, which may include a computer-readable storage medium carrying computer-readable program instructions for executing the method for constructing a hydropower station full-station fault simulation model described in Example 1.

[0079] Computer readable storage media may be tangible devices that hold and store instructions for use by instruction execution devices.

[0080] The computer-readable storage medium may be, for example but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination of the foregoing.

[0081] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for constructing a full-station fault simulation model for a hydropower station, characterized in that: The following steps are involved: Step 1, setting the simulation objects of the fault simulation model of the whole hydropower station, as well as the simulation part, simulation range, simulation degree and fault phenomenon corresponding to each simulation object; Step 2: Based on the setting result of step 1, construct a simulation model corresponding to each simulation object; Step 3, testing each simulation model; Step 4: construct a fault model for each simulation object and use the fault model to simulate the dynamic process when the fault occurs.

2. The method for constructing a hydropower station fault simulation model according to claim 1, characterized in that: In step 1, the simulation object is set according to the importance of each system in the whole hydropower station; Set the corresponding simulation part according to the importance of each component in each simulation object; The simulation scope is determined according to the key components of the simulation part, the simulation degree is determined according to the main operating characteristics of the simulation part and the transition process of the working condition conversion, and the fault phenomenon is determined according to the typical fault occurrence mechanism of the simulation part.

3. The method for constructing a hydropower station fault simulation model according to claim 1, characterized in that: In step 3, each simulation model is tested by: Each simulation model is tested for completeness of simulation range, fidelity of static characteristics, stability, and dynamic characteristics.

4. The method for constructing a hydropower station fault simulation model according to claim 3, characterized in that: The integrity of the simulation range of each simulation model is judged by static characteristic testing methods.

5. The method for constructing a hydropower station fault simulation model according to claim 3, characterized in that: The static characteristics fidelity of each simulation model is tested by: By comparing the output of the simulation model and the output of the real system under the same specific input, the similarity between the simulation model and the real system in terms of static characteristics can be obtained, wherein the higher the similarity, the higher the fidelity.

6. The method for constructing a hydropower station fault simulation model according to claim 3, characterized in that: The stability and dynamic characteristics of each simulation model are tested by: Set up the transient simulation process suitable for each simulation model; According to the initial states of each state variable and external input corresponding to the transient simulation process, multiple types of transient simulation process types are constructed; Set ITAE index requirements for each type of transient simulation process to judge the dynamic characteristics of the transient process; Each type of transient simulation process is performed on each simulation model to test the stability and dynamic characteristics of each simulation model.

7. The method for constructing a hydropower station fault simulation model according to claim 1, characterized in that: In step 4, a fault model of each simulation object is constructed. The specific method is: According to the fault phenomenon of each simulation part corresponding to each simulation object, a single fault cause is obtained; Determine the conditions and dynamic process of the fault; According to the acquired single fault cause, fault occurrence conditions and the dynamic process, a fault model is constructed.

8. A system for constructing a full-station fault simulation model for a hydropower station, characterized in that: include: The simulation information setting unit is used to set the simulation objects of the fault simulation model of the whole hydropower station, as well as the simulation parts, simulation range, simulation degree and fault phenomena corresponding to each simulation object; A simulation model building unit, used to build a simulation model corresponding to each simulation object based on the setting result of the simulation information setting unit; A model testing unit, used to test each simulation model; The fault model construction unit is used to construct a fault model for each simulation object and use the fault model to simulate the dynamic process when the fault occurs.

9. A processing device, comprising at least a processor and a memory, wherein a computer program is stored in the memory, wherein: When the processor runs the computer program, the computer program is executed to implement the steps of the method according to any one of claims 1 to 7.

10. A computer storage medium, characterized in that: Computer readable instructions are stored thereon, and the computer readable instructions can be executed by a processor to implement the steps of the method according to any one of claims 1 to 7.

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