Device, method and equipment for predicting pumping power of pumped storage power station and medium

Abstract

The invention discloses a prediction device, method and equipment for pumping power of a pumped storage power station and a medium, and belongs to the technical field of pumped storage electric power technologies, and the prediction device comprises a data acquisition unit which is used for acquiring an upper reservoir water level, upper reservoir capacity data, a lower reservoir water level, lower reservoir capacity data, water head-unit flow relation data and historical operation water head-whole plant total power data; the model building unit is used for building a water level-reservoir capacity model, a reservoir capacity-water level data model and a water head-whole plant total power data model; and the calculation and prediction unit is used for calculating initial reservoir capacity data through a water level-reservoir capacity model according to the input initial water level data, calculating the reservoir capacity variable quantity required for executing a load plan based on a load plan curve, calculating the reservoir capacity, the water level and the gross water head data after execution, and predicting the water pumping power by utilizing the water head-whole plant total power data model. According to the method, the data model is constructed, so that the dependence on source data is eliminated, the estimation accuracy is relatively high, and the working quality and efficiency are greatly improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of pumped storage power, more particularly to a pumped storage power station pumped power prediction device, method, equipment and medium. BACKGROUND

[0002] With the construction of new power systems, under the characteristics of "high proportion of new energy" and "high proportion of DC feed-in", the multi-feed-in DC receiving end power grid is gradually "hollowed out", and various high and low frequency problems of the power grid are intertwined, and the frequency stability risk is increasingly prominent. During the full pumping period of the pumped storage unit, due to the unadjustable power of the pumped storage unit, the pumped power will decrease with the increase of the water head, and the actual pumped power cannot reach the planned value, which is not conducive to power calculation and frequency stability. In order to streamline load management and ensure high-level consumption of new energy during holidays, it is required that each pumped storage station provide a curve of the time-dependent decrease of the pumped power of the unit.

[0003] However, for pumped power estimation, each calculation takes a long time, from water level and head estimation, then pumped power estimation, and then data review and verification, which takes about 2 hours, causing a lot of waste of human resources.

[0004] Therefore, it is necessary to develop a pumped storage power station pumped power prediction device. SUMMARY

[0005] In view of the above or the deficiencies of the prior art, the application provides a pumped storage power station pumped power prediction device, method, equipment and medium, which is stable in structure, direct in data reading and high in accuracy.

[0006] To solve the above technical problems, the application provides the following technical scheme:

[0007] The application provides a pumped storage power station pumped power prediction device, comprising:

[0008] A data acquisition unit is configured to acquire upper reservoir water level, upper reservoir capacity data, lower reservoir water level, lower reservoir capacity data, water head-unit flow relationship data and historical operation water head-total plant power data.

[0009] A model construction unit is configured to construct a water level-capacity model, a capacity-water level data model and a water head-total plant power data model.

[0010] A calculation and prediction unit is configured to calculate initial capacity data based on the input initial water level data through the water level-capacity model, calculate the capacity change required for executing the load plan based on the load plan curve, calculate the executed capacity, water level and gross water head data, and predict the pumped power by using the water head-total plant power data model.

[0011] As a further technical solution of the present application, the model construction unit specifically comprises:

[0012] A data preprocessing module is configured to generate a water level-storage capacity scatter plot, a storage capacity-water level scatter plot and a water head-total power scatter plot of the upper reservoir and the lower reservoir;

[0013] A curve fitting module is configured to fit the water level-storage capacity scatter plot, the storage capacity-water level scatter plot and the water head-total power scatter plot, respectively, to obtain a water level-storage capacity fitting curve, a storage capacity-water level fitting curve and a water head-total power fitting curve;

[0014] A parameter calculation module is configured to extract model parameters from the water level-storage capacity fitting curve, the storage capacity-water level fitting curve and the water head-total power fitting curve, and establish a water level-storage capacity mathematical model, a storage capacity-water level mathematical model and a water head-total power mathematical model.

[0015] As a further technical solution of the present application, the calculation and prediction unit comprises:

[0016] An initialization module is configured to set the parameters of the water level-storage capacity mathematical model, the storage capacity-water level mathematical model and the water head-total power mathematical model as fixed parameters and construct a running model;

[0017] A storage capacity calculation module is configured to calculate corresponding storage capacity through the water level-storage capacity model according to input initial water level data;

[0018] A prediction execution module is configured to automatically calculate and output water level, storage capacity and water head prediction data after each load plan is executed according to water level information before the next day and the load plan;

[0019] A power estimation module is configured to calculate total active power value according to water head prediction data, in combination with the water head-total power model, and perform power calibration based on a preset full extraction point correction value.

[0020] As a further technical solution of the present application, it further comprises:

[0021] A safety control module is preset with an AGC (Automatic Generation Control) automatic exit water head lower limit threshold value of 320 m, and a protection signal is triggered when the predicted water head is lower than the threshold value. When the water head, i.e. the water level difference, is lower than 320 m, the unit efficiency sharply decreases at low water head, and the target power cannot be stably output, thereby avoiding damage caused by operation of the unit in a non-optimal working condition.

[0022] As a further technical solution of the present application, it further comprises:

[0023] The risk reminding module is configured to calculate a pumping ratio corresponding to the load plan, and generate early warning information including "water head is too low, AGC exit risk" when the predicted water head is lower than the lower limit of the AGC automatic exit water head.

[0024] As a further technical solution of the present application, the water level-storage capacity scatter diagram, the storage capacity-water level scatter diagram and the water head-total power scatter diagram are fitted respectively, and specifically:

[0025] The water level-storage capacity data is fitted by using a Logistic function, and the fitting curve formula is:

[0026] ;

[0027] Among them: the current water level; the current upper reservoir storage capacity;

[0028] The storage capacity-water level data is fitted by using a Logistic function, and the fitting curve formula is:

[0029] ;

[0030] Among them: the upper reservoir storage capacity; the upper reservoir water level;

[0031] The water head-total power data is fitted by using a Cubic function, and the fitting curve formula is:

[0032] ;

[0033] Among them: the water head; the total power of the power plant.

[0034] As a further technical solution of the present application, the power estimation module comprises:

[0035] The next day water level estimation module is configured to calculate the next day upper and lower reservoir storage capacity data according to the known initial water levels of the upper and lower reservoirs and in combination with the constructed formula;

[0036] The power estimation module further comprises:

[0037] The power estimation module further comprises:

[0038] As a further technical solution of the present application, the power estimation module further comprises:

[0039] A correction module is configured to correct the estimated pumping power of the next day calculated by the power calculation module, and a correction coefficient of the correction module is a ratio of an average of historical actual pumping power to an average of model theoretical power.

[0040] In a second aspect, the application provides a method for predicting pumping power of a pumped storage power station, characterized in that the method comprises:

[0041] obtaining upper reservoir water level data, upper reservoir storage capacity data, lower reservoir water level data, lower reservoir storage capacity data, water head-turbine flow rate relationship data and historical operating water head-total power data of a power plant;

[0042] constructing a water level-storage capacity model, a storage capacity-water level data model and a water head-total power data model of the power plant;

[0043] calculating initial storage capacity data from the input initial water level data through the water level-storage capacity model, calculating a storage capacity change amount required for executing a load plan based on the load plan curve, calculating executed storage capacity, water level and gross water head data, and predicting pumping power by using the water head-total power data model of the power plant.

[0044] In a third aspect, the application provides a terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements steps of running of a pumping power prediction device of a pumped storage power station when executing the computer program.

[0045] In a fourth aspect, the application provides a computer readable storage medium storing a computer program, characterized in that the computer program implements running steps of a pumping power prediction device of a pumped storage power station when executed by a processor.

[0046] The application has the following advantages:

[0047] 1. The application can automatically predict water level of the next day, pumpable water, power generation point and water head value by inputting initial water level and load plan point.

[0048] 2. The application can automatically compare and calculate pumping and power generation ratio according to input load plan and make a reminder.

[0049] 3. The application can automatically draw a graph according to calculated water head and storage capacity data, making the trend more intuitive. Meanwhile, upper reservoir storage capacity values in flood season and non-flood season are set as reminders.

[0050] 4. The application can realize one-key resetting of load plan value by using VBA macro, make a corresponding reminder when predicted water head is lower than AGC exit setting value, and provide higher guarantee for operation safety.

[0051] 5. The reservoir capacity and limit display function is provided, the current reservoir capacity value and the upper and lower reservoir water level limit setting value are displayed, the parameter column data of the present application can be adjusted according to the actual operation of different plants, and the formula is automatically called. BRIEF DESCRIPTION OF DRAWINGS

[0052] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0053] Figure 1 The structure diagram of the pumped storage power station pumping power prediction device provided by the embodiment of the present application is provided.

[0054] Figure 2 The structure diagram of the model construction unit provided by the embodiment of the present application is provided.

[0055] Figure 3 The structure diagram of the calculation prediction unit provided by the embodiment of the present application is provided.

[0056] Figure 4 The upper and lower reservoir water level-reservoir capacity source data table provided by the embodiment of the present application is provided.

[0057] Figure 5 The upper reservoir water level-reservoir capacity scatter plot provided by the embodiment of the present application is provided.

[0058] Figure 6 The upper reservoir water level-reservoir capacity fitting curve plot provided by the embodiment of the present application is provided.

[0059] Figure 7 The upper reservoir water level-reservoir capacity fitting report plot provided by the embodiment of the present application is provided.

[0060] Figure 8 The upper reservoir water level-reservoir capacity fitting report plot provided by the embodiment of the present application is provided.

[0061] Figure 9 The upper reservoir water level-reservoir capacity fitting report plot provided by the embodiment of the present application is provided.

[0062] Figure 10 The upper reservoir water level-reservoir capacity fitting report plot provided by the embodiment of the present application is provided.

[0063] Figure 11 The water head-plant total power scatter plot provided by the embodiment of the present application is provided.

[0064] Figure 12 The water head-plant total power fitting curve provided by the embodiment of the present application is provided.

[0065] Figure 13 a head-total power fitting report provided for the embodiment of the present application;

[0066] Figure 14 a parameter setting diagram provided for the embodiment of the present application;

[0067] Figure 15 a limit setting diagram provided for the embodiment of the present application;

[0068] Figure 16 a water level estimation and drawing diagram provided for the embodiment of the present application;

[0069] Figure 17 a pumping power estimation result diagram provided for the embodiment of the present application;

[0070] Figure 18 an interactive interface diagram provided for the embodiment of the present application;

[0071] Figure 19 a prediction method flowchart of pumping power of a pumping power station provided for the embodiment of the present application. DETAILED DESCRIPTION

[0072] In order to make the above objectives, features and advantages of the present application more apparent, specific embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0073] In the following description, a lot of specific details are set forth in order to facilitate a full understanding of the present application, but the present application can also be implemented in other ways different from those described herein, and those skilled in the art can make similar generalizations without departing from the concept of the present application, so the present application is not limited to the specific embodiments disclosed below.

[0074] In addition, the terms "first", "second" are only for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first", "second" can explicitly or implicitly include at least one of the features. In the description of the present application, the meaning of "a plurality of" is at least two, such as two, three, etc., unless otherwise specifically limited.

[0075] In the present application, unless otherwise specifically defined and limited, the terms "mounting", "connection", "connection", "fixing" and other terms should be understood broadly, for example, it can be fixedly connected, or it can be detachably connected, or it can be integrated; it can be mechanically connected, or it can be electrically connected; it can be directly connected, or it can be indirectly connected through an intermediate medium; it can be the internal communication of two elements or the interaction relationship between two elements, unless otherwise specifically limited. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0076] Secondly, the "one embodiment" or "an embodiment" referred to herein means a specific feature, structure, or characteristic under discussion. Each of the various embodiments presented in the specification are not necessarily all directed at the same embodiment, and are not necessarily mutually exclusive, but are merely alternative implementations of the present application. It is noted that embodiments of the present application can be applied to any scenario as applicable.

[0077] Embodiment One

[0078] Referring to Figure 1 The prediction device for pumping power of pumped storage power station provided by an embodiment of the present application comprises:

[0079] The data acquisition unit 101 is configured to acquire the upper reservoir water level, the upper reservoir capacity data, the lower reservoir water level, the lower reservoir capacity data, the water head-turbine flow relationship data and the historical operation water head-total power data of the power plant.

[0080] The model construction unit 102 is configured to construct a water level-capacity model, a capacity-water level data model and a water head-total power data model.

[0081] The calculation and prediction unit 103 is configured to calculate initial capacity data by the water level-capacity model according to the input initial water level data, calculate the capacity variation required for executing the load plan based on the load plan curve, calculate the executed capacity, water level and gross water head data, and predict the pumping power by the water head-total power data model.

[0082] The prediction device for pumping power of pumped storage power station provided by the present application acquires the historical operation data by the data acquisition unit, and the historical operation data comprises historical upper reservoir water level, historical upper reservoir capacity data, historical lower reservoir water level, historical lower reservoir capacity data, historical water head-turbine flow relationship data and historical operation water head-total power data of the power plant.

[0083] Referring to Figure 2 In the embodiment of the present application, the model construction unit 102 specifically comprises:

[0084] The data preprocessing module 121 is configured to generate the water level-capacity scatter plot, the capacity-water level scatter plot and the water head-total power scatter plot of the upper and lower reservoirs.

[0085] The curve fitting module 122 is configured to fit the water level-capacity scatter plot, the capacity-water level scatter plot and the water head-total power scatter plot respectively to obtain the water level-capacity fitting curve, the capacity-water level fitting curve and the water head-total power fitting curve.

[0086] The parameter calculation module 123 is configured to extract model parameters from the water level-storage capacity fitting curve, the storage capacity-water level fitting curve and the water head-total power fitting curve, and establish the water level-storage capacity mathematical model, the storage capacity-water level mathematical model and the water head-total power mathematical model.

[0087] The historical operation data grabbed by the data acquisition unit is preprocessed to generate historical operation data scatter plots, including water level-storage capacity scatter plots of the upper reservoir and the lower reservoir, storage capacity-water level scatter plots of the upper reservoir and the lower reservoir and water head-total power scatter plots.

[0088] The present application constructs a mathematical model by curve fitting of historical upper and lower reservoir water level, storage capacity, water head and power data, estimates the next day's water level and pumping power according to the constructed data model, extracts function model and parameters through curve fitting, calculates the pumping / generating ratio in advance through the pumping / generating power curve in the load plan, and predicts the change of water head in combination with the water level-storage capacity model.

[0089] Referring to Figure 3 , the calculation and prediction unit 103 comprises:

[0090] The initialization module 131 is configured to set the water level-storage capacity mathematical model, the storage capacity-water level mathematical model and the water head-total power mathematical model parameters as fixed parameters and construct an operation model.

[0091] The storage capacity calculation module 132 is configured to calculate the corresponding storage capacity through the water level-storage capacity model according to the input initial water level data.

[0092] The prediction execution module 133 is configured to automatically calculate and output water level, storage capacity and water head prediction data after executing each load plan according to the next day's water level information and the load plan.

[0093] The power estimation module 134 is configured to calculate the total active power value according to the water head prediction data in combination with the water head-total power model, and perform power calibration based on a preset full pumping point correction value.

[0094] The pump storage power prediction device of the pumped storage power station in the embodiment of the application further comprises:

[0095] The safety control module 104 is preset with an AGC automatic exit water head lower limit threshold value 320 m, and a protection signal is triggered when the predicted water head is lower than the threshold value. When the water head, i.e. the water level difference, is lower than 320 m, the unit efficiency sharply decreases at a low water head, and the target power cannot be stably output, so that damage caused by the unit operation in a non-optimal working condition is avoided.

[0096] The safety control module in the embodiment of the application is provided with a risk reminder, which is used to calculate the pumping and generating ratio corresponding to the load plan, and generate early warning information containing "water head is too low, AGC exit risk" when the predicted water head is lower than the AGC automatic exit water head lower limit.

[0097] In the embodiment of the application, the water level-storage capacity scatter diagram, the storage capacity-water level scatter diagram and the water head-total power scatter diagram are respectively fitted in the curve fitting module, and the specific fitting methods are as follows.

[0098] The water level-storage capacity data is fitted by using a Logistic function, and the fitting curve formula is as follows:

[0099] ;

[0100] In the formula, h represents the current water level, and V represents the current upper reservoir storage capacity. —current water level; —current upper reservoir storage capacity;

[0101] The storage capacity-water level data is fitted by using a Logistic function, and the fitting curve formula is as follows:

[0102] ;

[0103] In the formula, V represents the upper reservoir storage capacity, and h represents the upper reservoir water level. —upper reservoir storage capacity; —upper reservoir water level;

[0104] The water head-total power data is fitted by using a Cubic function, and the fitting curve formula is as follows:

[0105] ;

[0106] In the formula, h represents the water head, and P represents the total power. —water head; —total power.

[0107] In the embodiment of the application, the power prediction module 134 comprises:

[0108] The next day water level prediction module 1341 calculates the next day upper and lower reservoir storage capacity data according to the known initial water levels of the upper and lower reservoirs and in combination with the constructed formula.

[0109] The power estimation module 134 is used for estimating the power according to the water level, the load plan and the water head-total power model.

[0110] The power calculation module 1343 is used for calculating the pumping power according to the estimated water level of the next day, the load plan of the next day and the water head-total power model.

[0111] In the embodiment of the present application, the power estimation module 134 further comprises:

[0112] The correction module 1344 is used for correcting the estimated pumping power calculated by the power calculation module, and the correction coefficient of the correction module is the ratio of the average value of the historical actual pumping power to the average value of the model theoretical power.

[0113] The present application can automatically calculate the pumping power on the basis of the input water level and the load plan point, by giving the remaining pumping point and the correction value after the last full pumping point of the load plan. The corresponding total active value can be obtained.

[0114] In the embodiment of the present application, the initial upper and lower reservoir water levels and are known, and the corresponding initial reservoir capacity data of the upper and lower reservoirs and are obtained according to the water level-reservoir capacity model.

[0115] According to the load plan curve point number issued, the flow of different working conditions is known or , and different water heads correspond to different unit flows, so multiple integrations are performed with each load point as an integration point, so as to obtain the reservoir capacity data or required for executing the load plan.

[0116] According to the initial reservoir capacity data of the upper and lower reservoirs and and the reservoir capacity data or required for executing the load plan, the corresponding reservoir capacity after executing the load plan is obtained and , the corresponding upper and lower reservoir water levels are inversely deduced and , and the gross water head is obtained .

[0117] Power generation working condition:

[0118] ;

[0119] ;

[0120] Pump working condition:

[0121] ;

[0122] ;

[0123] Head :

[0124] ;

[0125] Known head , using the constructed head-power model, the corresponding pumping power value of this head can be calculated .

[0126] Using Excel formula to realize the automation of calculation. The formula obtained by data analysis is input into the Excel table, and the formula is used for logical calculation. The initial upper and lower reservoir water level, load plan point number, and the corresponding pumping point number after the last full pumping point are input, and the power value of the last full pumping point can be automatically calculated. Through data verification, this model has higher accuracy in water level and power data estimation than the original method, and the efficiency is greatly improved, and the practical effect is good.

[0127] Example two

[0128] This example processes the source data of a certain pumped storage power station, which includes: the reservoir capacity value corresponding to the upper and lower reservoir water level, the pumping working condition head and active power value, and the pumping working condition head and the corresponding active power are obtained by consulting historical operation data statistics.

[0129] Referring to Figure 4 , the upper and lower reservoir water level-capacity source data of a certain pumped storage power station, because the calculation process involves known water level to calculate the reservoir capacity value and known reservoir capacity to calculate the water level value, so it is necessary to generate scatter plots respectively: ① with head as x-axis and reservoir capacity as y-axis; ② with reservoir capacity as x-axis and head as y-axis;

[0130] The upper and lower reservoir algorithms are consistent, and the upper reservoir is taken as an example: the upper reservoir water level-capacity scatter plot is shown in Figure 5 ,

[0131] Select the function type as Logistic to get the corresponding fitting curve.

[0132] The corresponding formula is:

[0133] ;

[0134] Among them: — current water level, — current upper reservoir capacity;

[0135] Fitting the scatter plot, get the fitting report, see Figure 6 and Figure 7 ;

[0136] From the report content: this function type can fit convergence.

[0137] Where

[0138] Where, , The larger the value, the higher the degree of fitting of the model to the data.

[0139] When: the model fits the data perfectly, all data points fall on the fitting function.

[0140] The upper reservoir capacity-water level scatter plot, see Figure 8 ;

[0141] Select the function type as Logistic, get the corresponding fitting curve.

[0142] The corresponding formula is

[0143] ;

[0144] Where: Upper reservoir capacity, Upper reservoir water level;

[0145] Fitting the scatter plot, get the fitting report: see Figure 9 and Figure 10 ;

[0146] From the report content: this function type can fit convergence.

[0147] Where ;

[0148] See Figure 11 , head-total power scatter plot, select the function type as Cubic, get the corresponding fitting curve.

[0149] The corresponding formula is:

[0150] ;

[0151] Where: Head, Total power;

[0152] Fitting the scatter plot, get the fitting report, see Figure 12 and Figure 13 ;

[0153] From the report content can be known: this function type can fit convergence, fitting success. Among them .

[0154] Known function type, through the third part of the data analysis of the function of each parameter value, into the function formula as follows:

[0155] The upper reservoir: water level-storage capacity: ;

[0156] Storage capacity-water level: ;

[0157] Lower reservoir: water level-storage capacity: ;

[0158] Storage capacity-water level: ;

[0159] Water head-total active: ;

[0160] Using the same steps, the water head-flow formula can be calculated:

[0161] Flow: water head-power generation: ;

[0162] Water head-pumping: ;

[0163] The above 7 formulas are the data models of upper and lower reservoir water level-storage capacity, storage capacity-water level, water head-total active power, and water head-flow.

[0164] Enter each data in the above formula into the Excel table as a fixed parameter value. And through the logic setting to form the Jinzhai power station operation model. See Figure 14 .

[0165] Because the upper limit of reservoir capacity in flood season and non-flood season is not the same for each power plant, this table reserves the upper and lower limit of water level setting value, which can be modified according to the actual operation.

[0166] For Jinzhai company, the AGC automatic exit water head lower limit is set to 320m in the monitoring system, so this table reserves the AGC exit water head lower limit setting, which can be modified in combination with the actual situation.

[0167] See Figure 15 , according to the known upper and lower reservoir initial water level, combined with the constructed formula, the corresponding reservoir capacity data can be calculated.

[0168] The number of power generation points can be calculated: the minimum value of the power generation points corresponding to the lower limit reservoir capacity of the upper reservoir ( ) and the power generation points corresponding to the upper limit of the lower reservoir ( ) is taken down.

[0169] The pumped water point number calculation: the minimum value of the pumped water point number corresponding to the upper limit reservoir capacity of the upper reservoir ( ) and the pumped water point number corresponding to the lower limit of the lower reservoir ( ) is rounded down.

[0170] By manually inputting the water level information before the next day's start and the next day's load plan, the water level, reservoir capacity and water head data corresponding to the execution of each load plan on the next day can be automatically estimated, and a chart can be automatically drawn according to the water head and reservoir capacity data. See Figure 16 .

[0171] Finally, based on the input water level and load plan point number, the remaining pumped water point number and the correction value after the last full pumped point of the load plan are given, and automatic calculation can be realized. See Figure 17 .

[0172] Using the obtained water head-total plant power formula and the obtained water head value , the corresponding total active value can be obtained. After the formula is constructed, the error generated during source data collection can be reduced, and the estimation accuracy is higher.

[0173] See Figure 18 , the device interface provided by the embodiment of the present application is shown:

[0174] ① Water level and point number automatic estimation. By inputting the initial water level and load plan point number, the next day's water level and pumped water, power generation point number and water head value can be automatically estimated.

[0175] ② Pumping and generating ratio calculation. According to the input load plan, the pumping and generating ratio is automatically calculated and compared, and a reminder is made.

[0176] ③ Reservoir capacity and water head automatic drawing. The water head and reservoir capacity data can be automatically drawn according to the calculation, making the trend more intuitive. At the same time, the upper reservoir capacity value in flood season and non-flood season is set as a reminder.

[0177] ④ One-key reset load plan. One-key reset load plan value is realized by using VBA macro.

[0178] ⑤ Water head lower than AGC exit setting value risk reminder. When the estimated water head is lower than the AGC exit setting value, a corresponding reminder is made, providing higher guarantee for operation safety.

[0179] ⑥ Reservoir capacity and limit value display. The current reservoir capacity value and the upper and lower reservoir water level limit value setting value are displayed.

[0180] The parameter column data of the present application can be adjusted according to the actual operation of different plants and stations, and the formula is automatically called.

[0181] Example three

[0182] ​Referring to Figure 19 The application provides a method for predicting pumping power of a pumped storage power station, comprising:

[0183] Step 201, obtaining upper reservoir water level, upper reservoir storage capacity data, lower reservoir water level, lower reservoir storage capacity data, water head-turbine flow relationship data and historical operation water head-plant total power data;

[0184] Step 202, constructing a water level-storage capacity model, a storage capacity-water level data model and a water head-plant total power data model;

[0185] Step 203, calculating initial storage capacity data through the water level-storage capacity model according to the input initial water level data, calculating the storage capacity change amount required for executing the load plan based on the load plan curve, calculating the executed storage capacity, water level and gross water head data, and predicting the pumping power by using the water head-plant total power data model.

[0186] The application provides a method for predicting pumping power of a pumped storage power station, comprising:

[0187] Algorithm innovation: change the original linear interpolation method, through the construction of a data model, the dependence on source data is eliminated in the calculation process, which is simple and clear.

[0188] Accuracy improvement: the existing power estimation method relies on manual calculation and correction, which is time-consuming and low in accuracy. Through this project, fast calculation can be realized, the estimation accuracy is high, the risk of errors caused by human factors is reduced, and the work quality is greatly improved, which provides accurate data support for power grid load prediction.

[0189] Strong generalizability: this project provides a new idea and solution for pumped storage power prediction in East China Grid, which can save a lot of labor cost and provide strong support for lean management of East China Grid load.

[0190] Embodiment four

[0191] The application provides a terminal device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to realize the steps of the pumped storage power station pumping power prediction device.

[0192] An exemplary embodiment of the present application provides a terminal device, which comprises a processor and a memory. The memory is configured to store a computer program, and the computer program comprises program instructions. The processor is configured to execute the program instructions stored in the computer storage medium. The processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like. The processor is the computing core and control core of the terminal, and is suitable for implementing one or more instructions, and is particularly suitable for loading and executing one or more instructions to implement a corresponding method flow or a corresponding function.

[0193] Embodiment five

[0194] The present application also provides a computer readable storage medium (Memory). The computer readable storage medium is a memory device in the terminal device, and is configured to store programs and data. It can be understood that the computer readable storage medium herein can include a built-in storage medium in the terminal device, and of course can also include an expansion storage medium supported by the terminal device. The computer readable storage medium provides a storage space, and the storage space stores an operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and the instructions can be one or more computer programs (including program codes). It should be noted that the computer readable storage medium herein can be a high-speed RAM memory, or a non-volatile memory such as at least one disk memory.

[0195] In addition, although the operations of the method of the present application are described in a specific order in the accompanying drawings, this does not require or imply that the operations must be performed in this specific order, or that all of the shown operations must be performed to achieve the desired result. Additionally or alternatively, some steps can be omitted, a plurality of steps can be combined into one step, and / or one step can be divided into a plurality of steps.

[0196] It is also important to note that the devices of the present application can be embodied in a variety of contexts. These are to be considered as exemplary embodiments of the present application. The above description of disclosed aspects is meant to be illustrative only and not limiting as to the scope of the application. Various modifications of these aspects, in addition to those described herein, will be readily apparent to those of ordinary skill in the art, and the generic principles defined herein can be applied to other aspects without departing from the scope of the application. Thus, the present application is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0197] Those skilled in the art will appreciate that embodiments of the present application can be devised for a method, a system, or a computer program product. Accordingly, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application can take the form of a computer program product on one or more computer readable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, etc.) embodying computer readable program code.

[0198] The present application is described in reference to the flowchart illustrations and / or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processing system or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart illustrations and / or block diagrams block or blocks. Figure 1 one or more functions specified by one or more blocks Figure 1 one or more functions specified by one or more blocks

[0199] These computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart illustrations and / or block diagrams block or blocks. Figure 1 one or more functions specified by one or more blocks Figure 1 one or more functions specified by one or more blocks

[0200] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart illustrations and / or block diagrams block or blocks. Figure 1 one or more functions specified by one or more blocksFigure 1 the steps of the functions specified in the one or more blocks.

[0201] The foregoing description has been presented for the purposes of illustration and description. Furthermore, the description is not intended to limit the embodiments of the application to the form disclosed herein. Although the above discussion has focused on various example aspects and embodiments, one skilled in the art will recognize certain variations, modifications, changes, additions, and sub-combinations.

Claims

1. A device for predicting the pumping power of a pumped storage power plant, characterized in that The method comprises the following steps: a data acquisition unit is configured to acquire upper reservoir water level data, upper reservoir storage capacity data, lower reservoir water level data, lower reservoir storage capacity data, water head-turbine flow relationship data, and historical operation water head-total power data of a power plant; a model construction unit is configured to construct a water level-storage capacity model, a storage capacity-water level data model, and a water head-total power data model; a calculation and prediction unit is configured to calculate initial storage capacity data from input initial water level data through the water level-storage capacity model, calculate the amount of storage capacity change required to execute a load plan based on a load plan curve, calculate executed storage capacity, water level, and gross water head data, and predict pumping power using the water head-total power data model.

2. The pumped storage power plant water pumping power prediction device according to claim 1, characterized by, The model construction unit specifically comprises: a data preprocessing module is configured to generate water level-storage capacity scatter plots, storage capacity-water level scatter plots, and water head-total power scatter plots of upper and lower reservoirs; a curve fitting module is configured to fit the water level-storage capacity scatter plots, the storage capacity-water level scatter plots, and the water head-total power scatter plots respectively to obtain water level-storage capacity fitting curves, storage capacity-water level fitting curves, and water head-total power fitting curves; a parameter calculation module is configured to extract model parameters from the water level-storage capacity fitting curves, the storage capacity-water level fitting curves, and the water head-total power fitting curves to establish a water level-storage capacity mathematical model, a storage capacity-water level mathematical model, and a water head-total power mathematical model.

3. The pumped storage power plant water pumping power prediction device according to claim 1, characterized by, The calculation and prediction unit comprises: an initialization module is configured to set the water level-storage capacity mathematical model, the storage capacity-water level mathematical model, and the water head-total power mathematical model parameters as fixed parameters and construct an operation model; a storage capacity calculation module is configured to calculate corresponding storage capacity from input initial water level data through the water level-storage capacity model; a prediction execution module is configured to automatically calculate and output water level, storage capacity, and water head prediction data after executing each load plan based on water level information before the next day's start-up and a load plan; a power estimation module is configured to calculate total active power values based on water head prediction data and the water head-total power model, and perform power calibration based on a preset full pumping point correction value.

4. The pumped storage power plant water pumping power prediction device according to claim 1, characterized by, Further comprising: a safety control module is configured to preset an AGC automatic exit water head lower limit threshold value of 320 m, and trigger a protection signal when the predicted water head is lower than the lower limit threshold value.

5. The pumped storage power plant water pumping power prediction device according to claim 2, characterized by, The water level-storage capacity scatter plots, the storage capacity-water level scatter plots, and the water head-total power scatter plots are fitted respectively, specifically: the water level-storage capacity data is fitted using a Logistic function, and the fitting curve formula is: ； wherein: - current water level; - current upper reservoir capacity; the storage capacity-water level data is fitted using a Logistic function, and the fitting curve formula is: ； wherein: — the upper reservoir capacity; — the upper reservoir water level; the water head-total power data is fitted using a Cubic function, and the fitting curve formula is: ； wherein: - water head; - total plant power.

6. The pumped storage power plant water pumping power prediction device according to claim 3, characterized by, The power estimation module comprises: a next day water level estimation module is configured to calculate next day upper and lower reservoir storage capacity data based on known initial upper and lower reservoir water levels and the constructed formula; a generating capacity estimation module is configured to calculate generating point numbers and pumping point numbers based on next day upper and lower reservoir storage capacity data; a power calculation module is configured to estimate next day pumping power based on next day estimated water levels, next day load plans, and the water head-total power model.

7. The pumped storage power plant water pumping power prediction device according to claim 3, characterized by, The power estimation module further comprises: A correction module is configured to correct the estimated next-day pumping power calculated by the power calculation module, and a correction coefficient of the correction module is a ratio of an average of historical actual pumping power to an average of model theoretical power.

8. A method of predicting the pumping power of a pumped storage power plant, characterized in that, The pumping power prediction device of the pumped storage power station according to any one of claims 1-7 comprises: Obtaining upper reservoir water level, upper reservoir storage capacity data, lower reservoir water level, lower reservoir storage capacity data, head-turbine flow relationship data and historical operation head-total plant power data; Building a water level-storage capacity model, a storage capacity-water level data model and a head-total plant power data model; According to the input initial water level data, the initial storage capacity data is calculated through the water level-storage capacity model, the required storage capacity change amount for executing the load plan is calculated based on the load plan curve, the executed storage capacity, water level and gross head data are calculated, and the pumping power is predicted by using the head-total plant power data model.

9. A terminal device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The processor executes the computer program to realize the steps of the operation of the pumping power prediction device of the pumped storage power station according to any one of claims 1-7.

10. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 9. The computer program is executed by the processor to realize the operation steps of the pumping power prediction device of the pumped storage power station according to any one of claims 1-7.

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