Pumped storage power station working condition conversion optimization method, device, equipment and medium

Abstract

The invention provides a working condition conversion optimization method, device and equipment for a pumped storage power station and a medium, and relates to the technical field of pumped storage power stations, and the method comprises the steps: determining a plurality of candidate schemes according to target optimization parameters of the pumped storage power station under a pumping fast forwarding power supply working condition; inputting each candidate scheme into a pre-constructed pumped storage power station transition process simulation model to obtain a simulation result of each candidate scheme; wherein each simulation result comprises a simulation value of the target operation parameter; determining a target simulation result from the plurality of simulation results according to application requirements; and according to the target simulation result, determining a target optimization scheme from the plurality of candidate schemes, so that the pumped storage power station operates based on the target optimization scheme under the pumping fast forwarding power supply working condition. The method can effectively solve the problems that in the prior art, the control strategy of the pumped storage power station pumping fast forwarding power-on working condition is set based on experience, application requirements are difficult to meet, and applicability is poor.

Description

Technical Field

[0001] The present application relates to the technical field of pumped-storage power stations, and in particular to a method for optimizing the operating condition conversion of a pumped-storage power station, an optimizing device for the operating condition conversion of a pumped-storage power station, an electronic device, and a machine-readable storage medium. Background Art

[0002] Renewable energy (such as wind and solar energy) power generation is intermittent and volatile. Pumped-storage power stations can effectively balance the supply and demand of the power grid, solve the problem of new energy consumption, and improve the stability and reliability of the power system by storing energy when electricity demand is low and releasing energy during peak hours.

[0003] With the large-scale grid connection of new energy sources and the operation of ultra-high voltage power grids, in order to ensure the stability and reliability of the power system, higher requirements are currently being placed on the operating performance of pumped-storage power stations in the condition of rapid conversion from pumping to power generation (hereinafter referred to as pumped fast forward power generation). However, the current control strategy for the pumped fast forward power generation condition of pumped storage power stations mainly relies on empirical settings, which makes it difficult to meet application requirements under this condition and has limited applicability, that is, empirical settings are difficult to apply to pumped storage power stations under different configuration conditions and possible changing application requirements. Summary of the invention

[0004] The purpose of the embodiments of the present application is to provide a method for optimizing the operating condition conversion of a pumped-storage power station, a device, equipment and medium for optimizing the operating condition conversion of a pumped-storage power station, so as to solve the problem that the control strategy of the pumped-storage power station pumping fast-forwarding power generation condition is difficult to meet application requirements and has poor applicability in the prior art based on experience.

[0005] In order to achieve the above-mentioned object, the first aspect of the present application provides a method for optimizing operating condition conversion of a pumped storage power station, the method comprising:

[0006] According to the target optimization parameters of the pumped storage power station under the pumped fast forwarding power generation condition, a plurality of candidate solutions are determined; wherein each candidate solution includes a candidate value of the target optimization parameter;

[0007] Input each candidate scheme into a pre-built pumped storage power station transient process simulation model to obtain simulation results of each candidate scheme; wherein each simulation result includes a simulation value of a target operating parameter;

[0008] According to application requirements, determine the target simulation result from multiple simulation results;

[0009] According to the target simulation results, a target optimization scheme is determined from multiple candidate schemes so that the pumped storage power station can operate based on the target optimization scheme under the pumped fast forward power generation condition.

[0010] In the embodiment of the present application, multiple candidate solutions are determined according to the target optimization parameters of the pumped storage power station under the pumped fast forwarding power generation condition, including:

[0011] Determine the feasible domain of the target optimization parameters; wherein the target optimization parameters include the pre-opening guide vane time and the pre-opening guide vane opening;

[0012] According to the feasible domain of the target optimization parameters, multiple candidate solutions are determined.

[0013] In the embodiment of the present application, the target operating parameters include at least: minimum operating condition conversion time, maximum volute inlet pressure, minimum draft tube inlet pressure and maximum shear stress in the pump direction.

[0014] In the embodiment of the present application, according to the application requirements, a target simulation result is determined from a plurality of simulation results, including:

[0015] Determine target constraints for target operating parameters based on application requirements;

[0016] For each simulation result, if the simulation result meets the target constraint condition, the simulation result is determined as the target simulation result.

[0017] In the embodiment of the present application, according to the target simulation results, a target optimization solution is determined from multiple candidate solutions, including:

[0018] Determine a multi-objective optimization function for target operating parameters;

[0019] Based on the target simulation results and the multi-objective optimization function, a target optimization solution is determined from multiple candidate solutions.

[0020] In an embodiment of the present application, the multi-objective optimization function includes at least: minimizing the minimum operating condition conversion time, minimizing the maximum volute inlet pressure, maximizing the minimum tailwater pipe inlet pressure, and minimizing the maximum shear stress in the pump direction.

[0021] In the embodiment of the present application, based on the target simulation results and the multi-objective optimization function, a target optimization solution is determined from multiple candidate solutions, including:

[0022] Based on the target simulation results and the multi-objective optimization function, the Pareto solution set is obtained through a multi-objective genetic algorithm;

[0023] According to the Pareto solution set, the target optimization solution is determined from multiple candidate solutions.

[0024] A second aspect of the present application provides a pumped storage power station operating condition conversion optimization device, the device comprising:

[0025] A candidate scheme determination module is used to determine multiple candidate schemes according to the target optimization parameters of the pumped storage power station under the pumped fast forwarding power generation condition; wherein each candidate scheme includes a candidate value of the target optimization parameter;

[0026] The first simulation result determination module is used to input each candidate solution into a pre-built pumped storage power station transient process simulation model to obtain a simulation result of each candidate solution; wherein each simulation result includes a simulation value of a target operating parameter;

[0027] A second simulation result determination module is used to determine a target simulation result from a plurality of simulation results according to application requirements;

[0028] The operating condition conversion optimization module is used to determine a target optimization scheme from multiple candidate schemes according to the target simulation results, so that the pumped storage power station can operate based on the target optimization scheme under the pumped fast forward power generation condition.

[0029] The third aspect of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method for optimizing operating condition conversion of a pumped-storage power station as described in the first aspect above when executing the computer program.

[0030] A fourth aspect of the present application provides a machine-readable storage medium having instructions stored thereon, which, when executed by a processor, configures the processor to execute the method for optimizing operating condition conversion of a pumped-storage power station as described in the first aspect above.

[0031] The method, device, equipment and medium for optimizing the operating condition conversion of a pumped-storage power station provided in the present application first simulate the simulation results of different candidate schemes (i.e., the target optimization parameters have different parameter values) through a pumped-storage power station transition process simulation model, then screen the simulation results based on application requirements to obtain target simulation results, and finally determine the target optimization scheme from the candidate schemes based on the target simulation results, so that the pumped-storage power station can operate based on the target optimization scheme under the pumped-storage fast-forward power generation condition, thereby ensuring the normal and safe operation of the pumped-storage power station, and obtaining the relevant parameter values ​​(including the parameter values ​​of the target optimization parameters) of the pumped-storage power station that can meet the application requirements under the pumped-storage fast-forward power generation condition through refined analysis based on application requirements, and the method for determining the control strategy of the pumped-storage fast-forward power generation condition of the pumped-storage power station can be applied to pumped-storage power stations under different configuration conditions and possibly changing application requirements, which helps to ensure the stability and reliability of the power system. In addition, by making the parameter values ​​of the target optimization parameters of the pumped-storage power station under the pumped fast-forwarding power generation condition as the preferred values, the overall performance of the pumped-storage power station under the pumped fast-forwarding power generation condition, such as the response efficiency (i.e., reducing the operating condition conversion time) and the operating efficiency, can be further improved.

[0032] Other features and advantages of the embodiments of the present application will be described in detail in the subsequent specific implementation section. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The accompanying drawings are used to provide a further understanding of the embodiments of the present application and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present application, but do not constitute a limitation on the embodiments of the present application. In the accompanying drawings:

[0034] Figure 1 A schematic diagram of a process flow of a method for optimizing operating condition conversion of a pumped storage power station according to an embodiment of the present application is shown;

[0035] Figure 2 A schematic diagram of a structural block diagram of a pumped storage power station operating condition conversion optimization device according to an embodiment of the present application is shown;

[0036] Figure 3 The internal structure diagram of the computer device according to the embodiment of the present application is schematically shown.

[0037] Description of Reference Numerals

[0038] A01-processor; A02-network interface; A03-internal memory; A04-display screen; A05-input device; A06-non-volatile storage medium; B01-operating system; B02-computer program. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. It should be understood that the specific implementation methods described herein are only used to illustrate and explain the embodiments of the present application, and are not used to limit the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0040] It should be noted that if the embodiments of the present application involve directional indications (such as up, down, left, right, front, back, etc.), such directional indications are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0041] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present application, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or suggesting their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by this application.

[0042] In view of the problem that the control strategy for the pumped-storage power station pumping fast-forwarding power generation conditions based on experience in the related technology is difficult to meet application requirements and has poor applicability, the present application provides a method, device, equipment and medium for optimizing the operating condition conversion of a pumped-storage power station. The method, device, equipment and medium for optimizing the operating condition conversion of a pumped-storage power station provided by the present application are described in detail below in conjunction with the accompanying drawings through specific examples and implementation methods.

[0043] Figure 1 The schematic diagram of the process flow of the pumped storage power station operating condition conversion optimization method of the embodiment of the present application is shown. Figure 1 As shown, in one embodiment of the present application, a method for optimizing operating condition conversion of a pumped storage power station is provided, and the method may include the following steps.

[0044] Step 200, determining a plurality of candidate solutions according to target optimization parameters of the pumped-storage power station under pumped fast-forwarding power generation conditions.

[0045] Each candidate solution includes a candidate value of a target optimization parameter.

[0046] Specifically, the target optimization parameter is an operating parameter of a pumped-storage power station during the process of pumping and fast forwarding power generation, and the change of the operating parameter affects the target operating parameter of the pumped-storage power station involved in the application requirements. In the embodiment of the present application, each candidate scheme is different, that is, there is at least one candidate value of the target optimization parameter that is different between the two candidate schemes.

[0047] Step 400, input each candidate solution into a pre-built pumped storage power station transient process simulation model to obtain a simulation result of each candidate solution.

[0048] Each simulation result includes a simulation value of a target operating parameter.

[0049] In the embodiment of the present application, by collecting relevant materials, the upper reservoir inlet / outlet, upper reservoir gate well, upper flat tunnel, upstream surge chamber, upper shaft, middle flat tunnel, lower shaft, lower flat tunnel, water diversion steel bifurcated pipe, water diversion high-pressure steel branch pipe, tailwater branch pipe, tailwater bifurcated pipe, tailwater surge chamber, tailwater tunnel, downstream gate well, lower reservoir inlet / outlet, etc. in the pumped-storage power station can be modeled based on the one-dimensional characteristic line method, and simplified into a one-dimensional model, thereby obtaining a pumped-storage power station transition process simulation model. It can be understood that the pumped-storage power station transition process simulation model can be constructed by existing simulation software, and the embodiment of the present application does not specifically limit the generation method of the pumped-storage power station transition process simulation model.

[0050] Among them, the input of the pumped-storage power station transition process simulation model is the candidate scheme containing the candidate values ​​of the target optimization parameters. The pumped-storage power station transition process simulation model performs simulation calculations based on the action law of the pumped-storage power station pumping fast forwarding power generation process, and outputs simulation results containing the simulation values ​​of the target operating parameters.

[0051] Step 600, determining a target simulation result from a plurality of simulation results according to application requirements.

[0052] Specifically, the application requirements include relevant limit values ​​(such as maximum values, minimum values) and constraints for the target operating parameters of the pumped storage power station. The embodiment of the present application determines the target simulation results from the simulation results based on the application requirements to ensure that the target optimization solution determined based on the target simulation results can meet the application requirements.

[0053] Step 800, according to the target simulation result, a target optimization scheme is determined from multiple candidate schemes, so that the pumped storage power station can operate based on the target optimization scheme under the pumped fast forwarding power generation condition.

[0054] Specifically, the candidate values ​​of the target optimization parameters in the target optimization scheme are the optimized values ​​of the target optimization parameters. By determining the target optimization scheme from the candidate schemes, the parameter values ​​of the target optimization parameters controlled by the pumped-storage power station under the pumped fast-forwarding power generation condition are made to be their optimized values, which can ensure that the pumped-storage power station can meet actual needs during the pumped fast-forwarding power generation process.

[0055] It is not difficult to see that the pumped-storage power station operating condition conversion optimization method provided in the embodiment of the present application first simulates the simulation results of different candidate schemes (that is, the target optimization parameters have different parameter values) through the pumped-storage power station transition process simulation model, and then screens the simulation results based on application requirements to obtain target simulation results. Finally, the target optimization scheme is determined from the candidate schemes according to the target simulation results, so that the pumped-storage power station can operate based on the target optimization scheme under the pumped fast forward power generation condition. While ensuring the normal and safe operation of the pumped-storage power station, through a refined analysis based on application requirements, the relevant parameter values ​​(including the parameter values ​​of the target optimization parameters) that can meet the application requirements of the pumped-storage power station under the pumped fast forward power generation condition can be obtained. The method for determining the control strategy of the pumped fast forward power generation condition of the pumped-storage power station can be applied to pumped-storage power stations under different configuration conditions and possibly changing application requirements, which helps to ensure the stability and reliability of the power system. In addition, by making the parameter values ​​of the target optimization parameters of the pumped-storage power station under the pumped fast-forwarding power generation condition as the preferred values, the overall performance of the pumped-storage power station under the pumped fast-forwarding power generation condition, such as the response efficiency (i.e., reducing the operating condition conversion time) and the operating efficiency, can be further improved.

[0056] Since application requirements generally involve several operating parameters such as minimum operating condition conversion time, maximum volute inlet pressure, minimum tailwater pipe inlet pressure and maximum shear stress in the direction of the water pump, in an embodiment of the present application, the target optimization parameters include the pre-opening guide vane time and the pre-opening guide vane opening, and the target operating parameters include at least: minimum operating condition conversion time, maximum volute inlet pressure, minimum tailwater pipe inlet pressure and maximum shear stress in the direction of the water pump.

[0057] Among them, the pre-opening guide vane time specifically refers to the time when the guide vane is pre-opened after the reversing switch of the generating direction is closed in the pumped-storage power station, and the pre-opening guide vane opening degree specifically refers to the pre-opening degree of the guide vane after the reversing switch of the generating direction is closed in the pumped-storage power station. The numerical changes of these two parameters affect the parameter values ​​of the above-mentioned operating parameters.

[0058] In the embodiment of the present application, step 200 may include the following steps.

[0059] Step 210, determining the feasible domain of the target optimization parameters.

[0060] The feasible domain refers to the set of all possible values ​​of the target optimization parameters. The feasible domain of the pre-opening guide vane time (in seconds) can be expressed as t∈[T min ,T max ], the feasible domain of the pre-opening guide vane opening (unit: degree) can be expressed as y∈[Y min ,Y max ], where t represents the pre-opening guide vane time, T min Indicates the minimum time of pre-opening guide vanes, T max represents the maximum value of the pre-opening guide vane time, y represents the pre-opening guide vane opening, Y min Indicates the minimum opening value of the pre-opening guide vane, Y max Indicates the maximum opening value of the pre-opening guide vane, T min , T max , Y min and Y max It is understandable that the feasible domain of the target optimization parameters can be set according to the historical operation data of the pumped storage power station and related requirements, and the embodiment of the present application does not specifically limit the determination method of the feasible domain of the target optimization parameters.

[0061] Step 220, determining multiple candidate solutions based on the feasible domain of the target optimization parameters.

[0062] When determining the candidate solutions, if the number of possible values ​​of the pre-guide vane opening time is m and the number of possible values ​​of the pre-guide vane opening degree is n, the number of candidate solutions S determined is m×n. For example, the number of intervals of the pre-guide vane opening time and the pre-guide vane opening degree are both 1, and the number of candidate solutions S is (T max -T min +1)×(Y max -Y min +1), the xth candidate solution p x It can be expressed as p x =[t i ,y j ], that is, the candidate value of the pre-opening guide vane time in the xth candidate solution is t i The candidate value of the pre-opening guide vane opening is y j , where T min ≤t i ≤T max , and Y min ≤y j ≤Y max .

[0063] By determining the feasible domain of the target optimization parameters and generating multiple candidate solutions based on the feasible domain, it can be ensured that the target optimization solution finally determined is in line with the actual operating capacity of the pumped-storage power station, that is, the values ​​of the target optimization parameters are within the acceptable range of the pumped-storage power station.

[0064] In the process of pumping and fast forwarding power generation, the torque in the direction of the turbine in the pumped storage power station mainly acts on the runner and the main shaft, and the torsional stress acting on the main shaft is the largest, and the torsional stress produces shear stress on the cross section. Within the elastic range, the torsional stress on the cylindrical cross section increases linearly from the center to the outer surface along the axis of the circular cross section. Based on this, in the embodiment of the present application, the maximum shear stress in the direction of the water pump in step 400 can be determined by the following formula:

[0065]

[0066] in:

[0067]

[0068] In the above formula, τ max represents the maximum shear stress in the direction of the pump; T represents the torque stress on the main shaft, which can be calculated by the simulation model of the transient process of the pumped storage power station; W p represents the torque resistance coefficient; D represents the spindle diameter.

[0069] In the embodiment of the present application, step 600 may include the following steps.

[0070] Step 610: Determine target constraints for target operating parameters according to application requirements.

[0071] Among them, the target constraints include the volute inlet pressure constraint, the tailwater pipe inlet pressure constraint and the water pump direction shear stress constraint. The volute inlet pressure constraint is specifically: the simulation value of the maximum volute pressure is less than or equal to the volute pressure threshold, the tailwater pipe inlet pressure constraint is specifically: the simulation value of the minimum tailwater pipe pressure is greater than or equal to the tailwater pipe pressure threshold, and the water pump direction shear stress constraint is specifically: the simulation value of the maximum shear stress in the water pump direction is less than or equal to the water pump direction shear stress threshold.

[0072] Specifically, the volute inlet pressure threshold, the draft tube inlet pressure threshold and the pump directional shear stress threshold are all set according to application requirements.

[0073] Step 620: For each simulation result, if the simulation result satisfies the target constraint condition, the simulation result is determined as the target simulation result.

[0074] Specifically, for each simulation result, when the simulation value included therein satisfies all constraints included in the target constraint conditions, the simulation result is the target simulation result.

[0075] Of course, it is understandable that the target constraint conditions can also include operating condition conversion time constraints, such as constraining the simulation value of the minimum operating condition conversion time to be less than or equal to the maximum operating condition conversion time, so as to further reduce the number of target simulation results, improve the determination rate of the target optimization scheme and reduce the conversion time of the pumping fast-forwarding power generation conditions.

[0076] In the embodiment of the present application, step 800 may include the following steps.

[0077] Step 810, determining a multi-objective optimization function for target operating parameters.

[0078] The multi-objective optimization function includes at least: minimizing the minimum operating condition conversion time, minimizing the maximum volute inlet pressure, maximizing the minimum draft tube inlet pressure and minimizing the maximum shear stress in the pump direction.

[0079] Step 820, based on the target simulation results and the multi-objective optimization function, determine a target optimization solution from multiple candidate solutions.

[0080] In a specific implementation, step 820 includes the following steps.

[0081] Step 821, based on the target simulation results and the multi-objective optimization function, a Pareto solution set is obtained through a multi-objective genetic algorithm.

[0082] Step 822, according to the Pareto solution set, determine the target optimization solution from multiple candidate solutions.

[0083] Specifically, this specific implementation method takes minimizing the minimum conversion time of operating conditions, minimizing the maximum pressure at the volute inlet, maximizing the minimum pressure at the tailwater pipe inlet and minimizing the maximum shear stress in the direction of the pump as the target principles, takes the target simulation results as input, solves the multi-objective optimization function through a multi-objective genetic algorithm (MOGA), and then constructs a Pareto solution set according to the value of the multi-objective function, screens out the optimal Pareto solution from the Pareto solution set, and determines the candidate solution corresponding to the optimal Pareto solution as the target optimization solution.

[0084] It is understandable that after determining the target simulation results and the multi-objective optimization function, the embodiment of the present application can also determine the target optimization solution from the candidate solutions through other existing multi-objective optimization solution methods, such as the particle swarm optimization (PSO) algorithm.

[0085] The following is an explanation of the pumped storage power station operating condition conversion optimization method provided in the embodiment of the present application through a specific example.

[0086] By obtaining the horizontal layout diagram, longitudinal layout diagram, four-quadrant curve of turbine of a pumped storage power station and other materials, and using the principle of equivalent circuit method, a one-dimensional simplified model was established using simulation software, which included the upper reservoir inlet / outlet, upper reservoir gate shaft, upper horizontal tunnel, upstream surge chamber, upper vertical shaft, middle horizontal tunnel, lower vertical shaft, lower horizontal tunnel, water diversion steel bifurcated pipe, water diversion high-pressure steel branch pipe, tailwater branch pipe, tailwater bifurcated pipe, tailwater surge chamber, tailwater tunnel, downstream gate shaft and lower reservoir inlet / outlet.

[0087] The feasible domain of pre-guide vane opening time and pre-guide vane opening is established, where the feasible domain of pre-guide vane opening time is t∈[43,80], the feasible domain of pre-guide vane opening is y∈[0,20], and the interval number of t and y is 1. According to the feasible domain of pre-guide vane opening time and pre-guide vane opening, 38×21=798 candidate solutions are generated. Each candidate solution is input into the pre-built pumped storage power station transient process simulation model, and 798 simulation results are obtained.

[0088] According to the specific requirements of the pumped storage power station, set the target constraint conditions: Psc max ≤860, Pdt min ≥-8, τ max ≤40Mpa, and select the target simulation results that meet the target constraint conditions from 798 simulation results.

[0089] Taking the minimum conversion time, the minimum maximum pressure of the volute inlet, the maximum minimum pressure of the draft tube inlet and the minimum maximum shear stress in the pump direction as the target principles during the operating condition conversion process, a multi-objective optimization function is established. The simulation results of each target are used as input, and the multi-objective optimization function is solved by MOGA. Then, a Pareto solution set is constructed according to the value of the multi-objective function. The optimal Pareto solution is screened out from the Pareto solution set, and the candidate solution corresponding to the optimal Pareto solution is determined as the target optimization solution.

[0090] The embodiment of the present application is based on a multi-objective optimization method, takes into account the requirements that affect the safety of pumped-storage power stations and the rapid response of the power grid, and comprehensively balances the dynamic quality of the pumped-storage fast-forwarding power generation process and the complexity and safety of the action law. The resulting control strategy is more comprehensive and integrated, and effectively solves the problem that the control strategy based on experience-based setting of the pumped-storage power station pumped-storage fast-forwarding power generation conditions is difficult to meet application requirements and has poor applicability, improves the optimizability of the pumped-storage fast-forwarding power generation conditions, and applies this method to specific pumped-storage power stations to obtain good dynamic quality of the transition process, providing strong support for the efficient and safe operation of the pumped-storage power station.

[0091] Figure 1 FIG. 1 is a flow chart of a method for optimizing the operating condition conversion of a pumped storage power station in one embodiment. Figure 1The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 1 At least part of the steps may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least part of the sub-steps or stages of other steps.

[0092] Figure 2 The structural block diagram of the pumped storage power station operating condition conversion optimization device according to the embodiment of the present application is schematically shown. Figure 2 As shown, in one embodiment of the present application, a pumped storage power station operating condition conversion optimization device is provided, and the pumped storage power station operating condition conversion optimization device includes a candidate solution determination module, a first simulation result determination module, a second simulation result determination module and an operating condition conversion optimization module, wherein:

[0093] The candidate scheme determination module is used to determine multiple candidate schemes according to the target optimization parameters of the pumped storage power station under the pumped fast forwarding power generation condition; wherein each candidate scheme includes a candidate value of the target optimization parameter.

[0094] The first simulation result determination module is used to input each candidate solution into a pre-built pumped storage power station transition process simulation model to obtain the simulation results of each candidate solution; wherein each simulation result includes the simulation value of the target operating parameter.

[0095] The second simulation result determination module is used to determine a target simulation result from a plurality of simulation results according to application requirements.

[0096] The operating condition conversion optimization module is used to determine a target optimization scheme from multiple candidate schemes according to the target simulation results, so that the pumped storage power station can operate based on the target optimization scheme under the pumped fast forward power generation condition.

[0097] In the embodiment of the present application, the candidate solution determination module may include:

[0098] The feasible domain determination unit is used to determine the feasible domain of the target optimization parameters; wherein the target optimization parameters include the pre-opening guide vane time and the pre-opening guide vane opening.

[0099] The candidate solution determination unit is used to determine multiple candidate solutions according to the feasible domain of the target optimization parameters.

[0100] In the embodiment of the present application, the target operating parameters include at least: minimum operating condition conversion time, maximum volute inlet pressure, minimum draft tube inlet pressure and maximum shear stress in the pump direction.

[0101] In the embodiment of the present application, the second simulation result determination module may include:

[0102] The constraint condition determination unit is used to determine target constraint conditions for target operating parameters according to application requirements.

[0103] The target simulation result determination unit is used to determine each simulation result as a target simulation result if the simulation result meets the target constraint condition.

[0104] In an embodiment of the present application, the operating condition conversion optimization module may include:

[0105] The function determination unit is used to determine a multi-objective optimization function for target operating parameters.

[0106] The optimization scheme determination unit is used to determine a target optimization scheme from multiple candidate schemes based on target simulation results and a multi-objective optimization function.

[0107] In an embodiment of the present application, the multi-objective optimization function includes at least: minimizing the minimum operating condition conversion time, minimizing the maximum volute inlet pressure, maximizing the minimum tailwater pipe inlet pressure, and minimizing the maximum shear stress in the pump direction.

[0108] In an embodiment of the present application, the optimization scheme determination unit may include:

[0109] The Pareto solution set determination subunit is used to obtain the Pareto solution set through a multi-objective genetic algorithm based on the target simulation results and the multi-objective optimization function.

[0110] The optimization solution determination subunit is used to determine a target optimization solution from multiple candidate solutions based on the Pareto solution set.

[0111] Since the pumped-storage power station operating condition conversion optimization device provided in the embodiment of the present application is a virtual device corresponding to the pumped-storage power station operating condition conversion optimization method of the above-mentioned embodiment, it can also solve the problem that the prior art sets the control strategy of the pumped-storage power station pumping fast-forwarding power generation condition based on experience, which is difficult to meet application requirements and has poor applicability.

[0112] An embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method for optimizing operating condition conversion of a pumped-storage power station described in the above embodiment when executing the computer program.

[0113] Specifically, in the embodiment of the present application, the processor implements the following steps when executing the computer program:

[0114] According to the target optimization parameters of the pumped storage power station under the pumped fast forwarding power generation condition, a plurality of candidate solutions are determined; wherein each candidate solution includes a candidate value of the target optimization parameter;

[0115] Input each candidate scheme into a pre-built pumped storage power station transient process simulation model to obtain simulation results of each candidate scheme; wherein each simulation result includes a simulation value of a target operating parameter;

[0116] According to application requirements, determine the target simulation result from multiple simulation results;

[0117] According to the target simulation results, a target optimization scheme is determined from multiple candidate schemes so that the pumped storage power station can operate based on the target optimization scheme under the pumped fast forward power generation condition.

[0118] The electronic device provided in the embodiment of the present application includes a processor capable of running the pumped-storage power station operating condition conversion optimization method of the aforementioned embodiment, and can therefore also solve the problem that the prior art uses experience-based control strategies for setting pumped-storage power station pumping fast-forwarding power generation conditions, which is difficult to meet application requirements and has poor applicability.

[0119] An embodiment of the present application provides a machine-readable storage medium having instructions stored thereon, which, when executed by a processor, configures the processor to execute the method for optimizing operating condition conversion of a pumped-storage power station described in the above embodiment.

[0120] Specifically, in the embodiment of the present application, when the instruction is executed by the processor, the processor is configured to perform the following steps:

[0121] According to the target optimization parameters of the pumped storage power station under the pumped fast forwarding power generation condition, a plurality of candidate solutions are determined; wherein each candidate solution includes a candidate value of the target optimization parameter;

[0122] Input each candidate scheme into a pre-built pumped storage power station transient process simulation model to obtain simulation results of each candidate scheme; wherein each simulation result includes a simulation value of a target operating parameter;

[0123] According to application requirements, determine the target simulation result from multiple simulation results;

[0124] According to the target simulation results, a target optimization scheme is determined from multiple candidate schemes so that the pumped storage power station can operate based on the target optimization scheme under the pumped fast forward power generation condition.

[0125] The machine-readable storage medium provided in the embodiment of the present application stores instructions for enabling the machine to execute the pumped-storage power station operating condition conversion optimization method of the above-mentioned embodiment. Therefore, it can also solve the problem that the control strategy of the prior art for setting the pumped-storage power station pumping fast-forwarding power generation conditions based on experience is difficult to meet application requirements and has poor applicability.

[0126] Figure 3 The internal structure diagram of the computer device of the embodiment of the present application is schematically shown. Figure 3 As shown, in one embodiment of the present application, a computer device is provided, which may be a terminal. The computer device includes a processor A01, a network interface A02, a display screen A04, an input device A05 and a memory (not shown in the figure) connected via a system bus. Among them, the processor A01 of the computer device is used to provide computing and control capabilities. The memory of the computer device includes an internal memory A03 and a non-volatile storage medium A06. The non-volatile storage medium A06 stores an operating system B01 and a computer program B02. The internal memory A03 provides an environment for the operation of the operating system B01 and the computer program B02 in the non-volatile storage medium A06. The network interface A02 of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor A01, a method for optimizing the operating condition conversion of a pumped-storage power station is implemented. The display screen A04 of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device A05 of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device casing, or an external keyboard, touchpad or mouse.

[0127] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0128] In one embodiment, the pumped storage power station operating condition conversion optimization device provided in the present application can be implemented in the form of a computer program. The computer program can be Figure 3 The computer device shown in the figure is run. The memory of the computer device can store various program modules constituting the pumped storage power station operating condition conversion optimization device, for example, Figure 2 The candidate solution determination module, the first simulation result determination module, the second simulation result determination module and the operating condition conversion optimization module shown in the figure. The computer program composed of each program module enables the processor to execute the steps of the pumped storage power station operating condition conversion optimization method of each embodiment of the present application described in this specification.

[0129] Figure 3 The computer device shown can be Figure 2 The candidate solution determination module in the operating condition conversion optimization device of the pumped storage power station shown executes step 200, the first simulation result determination module executes step 400, the second simulation result determination module executes step 600, and the operating condition conversion optimization module executes step 800.

[0130] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0131] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0132] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0133] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0134] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0135] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0136] Computer readable media include permanent and non-permanent, removable and non-removable media, and can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0137] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0138] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for optimizing operating condition conversion of a pumped storage power station, characterized in that: The method comprises: Determine a plurality of candidate solutions according to target optimization parameters of the pumped storage power station under the pumped fast forwarding power generation condition; wherein each candidate solution includes a candidate value of the target optimization parameter; Input each candidate scheme into a pre-built pumped storage power station transient process simulation model to obtain simulation results of each candidate scheme; wherein each simulation result includes a simulation value of a target operating parameter; According to application requirements, determine the target simulation result from multiple simulation results; According to the target simulation results, a target optimization scheme is determined from multiple candidate schemes so that the pumped storage power station can operate based on the target optimization scheme under the pumped fast forward power generation condition.

2. The method according to claim 1, characterized in that According to the target optimization parameters of the pumped storage power station under the pumped fast forwarding power generation condition, multiple candidate solutions are determined, including: Determine the feasible domain of the target optimization parameters; wherein the target optimization parameters include the pre-opening guide vane time and the pre-opening guide vane opening; According to the feasible domain of the target optimization parameters, multiple candidate solutions are determined.

3. The method according to claim 1, characterized in that The target operating parameters include at least: minimum operating condition conversion time, maximum volute inlet pressure, minimum draft tube inlet pressure and maximum shear stress in the pump direction.

4. The method according to claim 1, characterized in that: According to application requirements, the target simulation results are determined from multiple simulation results, including: Determine target constraints for target operating parameters based on application requirements; The simulation result that meets the target constraint condition is determined as the target simulation result.

5. The method according to claim 1, characterized in that According to the target simulation results, the target optimization solution is determined from multiple candidate solutions, including: Determine a multi-objective optimization function for target operating parameters; Based on the target simulation results and the multi-objective optimization function, a target optimization solution is determined from multiple candidate solutions.

6. The method according to claim 5, characterized in that The multi-objective optimization function at least includes: minimizing the minimum operating condition conversion time, minimizing the maximum volute inlet pressure, maximizing the minimum draft tube inlet pressure and minimizing the maximum shear stress in the pump direction.

7. The method according to claim 5, characterized in that Based on the target simulation results and the multi-objective optimization function, the target optimization solution is determined from multiple candidate solutions, including: Based on the target simulation results and the multi-objective optimization function, the Pareto solution set is obtained through a multi-objective genetic algorithm; According to the Pareto solution set, the target optimization solution is determined from multiple candidate solutions.

8. A pumped storage power station operating condition conversion optimization device, characterized in that: The device comprises: A candidate scheme determination module is used to determine multiple candidate schemes according to the target optimization parameters of the pumped storage power station under the pumped fast forwarding power generation condition; wherein each candidate scheme includes a candidate value of the target optimization parameter; The first simulation result determination module is used to input each candidate solution into a pre-built pumped storage power station transition process simulation model to obtain a simulation result of each candidate solution; wherein each simulation result includes a simulation value of a target operating parameter; A second simulation result determination module is used to determine a target simulation result from a plurality of simulation results according to application requirements; The operating condition conversion optimization module is used to determine a target optimization scheme from multiple candidate schemes according to the target simulation results, so that the pumped storage power station can operate based on the target optimization scheme under the pumped fast forward power generation condition.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method for optimizing the operating condition conversion of a pumped storage power station according to any one of claims 1 to 7 is implemented.

10. A machine-readable storage medium having instructions stored thereon, characterized in that: When the instruction is executed by a processor, the processor is configured to execute the method for optimizing operating condition conversion of a pumped-storage power station according to any one of claims 1 to 7.

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