CN114611818A - Frequency prediction method and device for hydropower station and storage medium - Google Patents

Frequency prediction method and device for hydropower station and storage medium Download PDF

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CN114611818A
CN114611818A CN202210285582.7A CN202210285582A CN114611818A CN 114611818 A CN114611818 A CN 114611818A CN 202210285582 A CN202210285582 A CN 202210285582A CN 114611818 A CN114611818 A CN 114611818A
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value
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张荣海
刘配配
成展强
庄泽宏
李�杰
王娴
欧阳本凯
彭春燕
江文卓
孙波
陈滔
姜涛
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Guangdong Power Grid Co Ltd
Shaoguan Power Supply Bureau Guangdong Power Grid Co Ltd
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Shaoguan Power Supply Bureau Guangdong Power Grid Co Ltd
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Abstract

The embodiment of the invention discloses a frequency prediction method, a device, equipment and a storage medium of a hydropower station, wherein the method comprises the steps of obtaining M detection frequencies which are in one-to-one correspondence with continuous M time periods; the detection frequency corresponding to each time period is the frequency value of the output signal of the hydropower station corresponding to the time period; m is a positive integer; determining at least two detection frequency predicted values according to the M detection frequencies; and determining the predicted frequency of the hydropower station according to the predicted value of the detected frequency. The embodiment of the invention can predict the frequency of the hydropower station, avoids the problem of adjustment hysteresis when the output signal of the hydropower station is adjusted and controlled according to the current frequency of the hydropower station, and improves the accuracy, sensitivity and reliability of the adjustment and control of the output signal of the hydropower station.

Description

Frequency prediction method and device for hydropower station and storage medium
Technical Field
The embodiment of the invention relates to the field of power systems, in particular to a frequency prediction method and device for a hydropower station and a storage medium.
Background
Hydroelectric power generation relies on the power station to convert hydroenergy into electric energy, supplies power to consumer, and when meetting the rainwater season, the power generation capacity of power station constantly increases, is satisfying under user's power demand's the prerequisite, can also distribute by the main electric network in transmitting some electric quantity to electric power system's the main electric network. The detection of the frequency change condition of the hydropower station is an important link for realizing the regulation and control of the hydropower station.
In the prior art, the frequency of the hydropower station is usually adjusted through the change situation of the current frequency value of a generator set of the hydropower station, but the adjustment and control process according to the current frequency value has the hysteresis of frequency adjustment, and the subsequent frequency change of the whole hydropower station is influenced. In addition, the prior art lacks of prediction of frequency change of the hydropower station, and cannot regulate and control the output signal of the hydropower station in the next step.
Disclosure of Invention
The embodiment of the invention provides a frequency prediction method, a frequency prediction device, frequency prediction equipment and a storage medium of a hydropower station, so that the frequency of the hydropower station can be accurately predicted, the problem of frequency regulation hysteresis is avoided, and the sensitivity and the reliability of regulation and control of output signals of the hydropower station are improved.
In a first aspect, an embodiment of the present invention provides a frequency prediction method for a hydropower station, including:
acquiring M detection frequencies which are in one-to-one correspondence with the continuous M time periods; the detection frequency corresponding to each time period is the frequency value of the output signal of the hydropower station corresponding to the time period; m is a positive integer;
determining at least two detection frequency predicted values according to the M detection frequencies;
and determining the prediction frequency of the hydropower station according to the detection frequency prediction value.
Optionally, obtaining M groups of frequency values corresponding to M consecutive time periods one to one; a set of frequency values for each of said time periods comprises a start frequency and an end frequency of said hydropower station output signal at a first detection time in said time period;
and determining M detection frequencies which are in one-to-one correspondence with the continuous M time sections according to the average value of the starting frequency and the ending frequency of each time section.
Optionally, determining at least two unequal moving average terms according to the M detection frequencies; the value range of the moving average term Ni is 1< Ni < M, and Ni and i are positive integers;
according to the moving average item, determining the detection frequency participating in calculating the detection frequency predicted value in the M detection frequencies as a detection frequency calculation value corresponding to the moving average item;
and determining a detection frequency predicted value corresponding to each moving average item one to one according to each moving average item and the detection frequency calculation value corresponding to each moving average item.
Optionally, according to the moving average term, determining a detection frequency prediction value calculation formula corresponding to the moving average term;
determining detection frequency predicted values corresponding to the moving average terms one by one according to the moving average terms, the detection frequency calculated values corresponding to the moving average terms and the detection frequency predicted value calculation formulas;
the predicted value calculation formula of the detection frequency corresponding to the moving average term Ni is as follows:
Figure BDA0003558073600000021
wherein, f'Ni+1The predicted value of the detection frequency corresponding to the moving average term Ni; f. ofjThe detection frequency corresponding to the jth time segment in the M detection frequencies is j is a positive integer.
Alternatively,
determining a detection frequency participating in calculating a standard error of the detection frequency predicted value in M detection frequencies according to the moving average item, and taking the detection frequency as a frequency error calculation value corresponding to the moving average item;
determining a standard error corresponding to each moving average term according to the frequency error calculation value, the detection frequency prediction value and the moving average term;
taking the moving average term corresponding to the standard error with the minimum standard error in the standard errors as a calculated moving average term value for calculating the prediction frequency;
determining a prediction frequency calculation formula for calculating the hydropower station according to the moving average term calculation value and the detection frequency prediction value calculation formula corresponding to the moving average term calculation value;
and determining the predicted frequency of the hydropower station according to the predicted frequency calculation formula.
Optionally, according to the moving average term, determining an error calculation formula corresponding to the moving average term;
determining standard errors corresponding to the moving average terms one by one according to the moving average terms, the detection frequency calculation values corresponding to the moving average terms and the error calculation formulas;
wherein, the error calculation formula corresponding to the moving average term Ni is:
Figure BDA0003558073600000031
wherein Si is the standard error corresponding to the moving average term Ni; f. oftThe detection frequency corresponding to the t-th time segment in the M detection frequencies is set, and t is a positive integer.
Alternatively, 5 ≦ Ni ≦ 200.
In a second aspect, an embodiment of the present invention further provides a frequency prediction apparatus for a hydropower station, including:
the detection frequency acquisition module is used for acquiring M detection frequencies which are in one-to-one correspondence with the continuous M time periods; the detection frequency corresponding to each time period is the frequency value of the output signal of the hydropower station corresponding to the time period; m is a positive integer;
the detection frequency predicted value determining module is used for determining at least two detection frequency predicted values according to the M detection frequencies;
and the prediction frequency determining module is used for determining the prediction frequency of the hydropower station according to the detection frequency prediction value.
In a third aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes: at least one processor; and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to implement the method of frequency prediction of a hydroelectric power plant provided by any of the embodiments of the present invention.
In a fourth aspect, the embodiment of the present invention further provides a computer-readable storage medium, where computer instructions are stored, and the computer instructions are configured to cause a processor to implement the frequency prediction method for a hydroelectric power station provided in any embodiment of the present invention when executed.
According to the embodiment of the invention, at least two detection frequency prediction values are determined by obtaining M detection frequencies of M continuous time periods according to the M detection frequencies in the M time periods, and the prediction frequency of the hydropower station is determined based on the detection frequency prediction values. The technical scheme provided by the embodiment of the invention solves the problem of adjustment hysteresis caused by the adjustment and control of the unit state of the hydropower station by using the current frequency data of the hydropower station, and improves the sensitivity and reliability of the adjustment and control of the output signal of the hydropower station.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flowchart of a frequency prediction method for a hydropower station according to an embodiment of the invention;
fig. 2 is a schematic flow chart of a frequency prediction method of a hydropower station according to a second embodiment of the invention;
fig. 3 is a schematic flowchart of a frequency prediction method of a hydropower station according to a third embodiment of the invention;
fig. 4 is a schematic flowchart of a frequency prediction method of a hydropower station according to a fourth embodiment of the invention;
fig. 5 is a frequency predicting apparatus of a hydroelectric power station according to a fifth embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to a sixth embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example one
Fig. 1 is a flow chart illustrating a method for predicting the frequency of a hydroelectric power station, according to an embodiment of the present invention, which may be performed by a frequency predicting apparatus of a hydroelectric power station, where the apparatus may be composed of hardware and/or software. The frequency prediction method of the hydropower station provided by the embodiment of the invention comprises the following steps:
s110, M detection frequencies corresponding to the continuous M time periods one by one are obtained.
Wherein the acquisition of the hydroelectric power station detection frequency is mainly performed by detecting the frequency within a period of time. The selected period of time can be specifically divided into M continuous time periods, and the duration of each time period is kept consistent. For example, the period of time may be 10min, and the 10min may be divided into 10 consecutive periods of time, the duration of the period of time being 1 min. One detection frequency can be acquired in each time segment, 10 detection frequencies can be acquired in 10 time segments, or the time segment can be 20min, and 20min is divided into 10 continuous time segments, and the duration of the time segment is 2 min. Here, the period of time and the length of each period of time are not specifically limited, and M is a positive integer, which can be further adjusted according to actual requirements.
Further, the detection frequency corresponding to each time segment is the frequency value of the output signal of the hydropower station corresponding to the time segment. The frequency value of the output signal of the hydropower station can be obtained by the intelligent electric meter after the voltage amplitude value and the current value at the outlet of the hydropower station are obtained, and the frequency value of the output signal of the hydropower station is obtained based on a Fourier transform algorithm, namely the frequency value of the output signal of the hydropower station in the time period corresponds to the detection frequency in the time period. The corresponding relation between the detection frequency and the output signal of the hydropower station can draw a corresponding chart, and the detection frequency of each time period can be accurately obtained in a table look-up mode. The specific manner of acquiring the detection frequency is not particularly limited herein.
And S120, determining at least two predicted values of the detection frequency according to the M detection frequencies.
And selecting two or more detection frequencies from the M detection frequencies to determine the predicted values of the detection frequencies. The detection frequency prediction value is determined based on predicting the detection frequency. That is, the detected frequency is the actually detected frequency, and the detected frequency prediction value is determined by the actually detected frequency. And a formula relation or a chart relation exists between the detection frequency predicted value and the detection frequency. And determining at least two detection frequency predicted values by using a formula relation or a chart relation.
And S130, determining the prediction frequency of the hydropower station according to the detection frequency prediction value.
The method comprises the steps of determining two detection frequency predicted values or a plurality of detection frequency predicted values by using detection frequencies, and comparing the sizes of the two or more detection frequency predicted values to obtain more accurate detection frequency predicted values. For example, in the detection process, the frequency of the hydropower station has small-range fluctuation, so that the detection frequency detected in different time periods has small fluctuation, and further, the detection frequency predicted value of the hydropower station is changed correspondingly. And after comparing the plurality of detection frequency predicted values, determining the detection frequency predicted value with small fluctuation amplitude as the prediction frequency of the hydropower station. The variation of the fluctuation amplitude can be determined by detecting the standard error of the predicted value of the frequency. And establishing a standard error formula of the detection frequency predicted value and the detection frequency predicted value, and determining the detection frequency predicted value meeting the conditions by using a formula calculation mode so as to determine the prediction frequency of the hydropower station.
According to the embodiment of the invention, at least two detection frequency prediction values are determined by obtaining M detection frequencies of M continuous time periods according to the M detection frequencies of the M time periods, and the prediction frequency of the hydropower station is determined based on the detection frequency prediction values. The technical scheme provided by the embodiment of the invention solves the problem of adjustment hysteresis caused by the adjustment and control of the unit state of the hydropower station by using the current frequency data of the hydropower station, and improves the sensitivity and reliability of the adjustment and control of the output signal of the hydropower station.
Example two
Fig. 2 is a schematic flow chart of a frequency prediction method for a hydropower station according to a second embodiment of the present invention, and on the basis of the second embodiment, a scheme for determining M detection frequencies is specifically provided.
The technical scheme of the embodiment comprises the following steps:
s210, M groups of frequency values which are in one-to-one correspondence with the continuous M time periods are obtained.
And a set of frequency values corresponding to each time period comprises a starting frequency and an ending frequency of the output signal of the hydropower station in the first detection time in the time period. Each time segment corresponds to a group of frequency values, the time segment comprises a first detection time and a non-detection time, the starting frequency and the ending frequency of the output signal of the hydropower station are detected in the first detection time, and the frequency of the output signal of the hydropower station is not detected in the non-detection time. Illustratively, each time period is 1min, and a set of frequency values corresponds to the 1min time period, the first detection time is a first second, and the non-detection time is from a second to a sixteenth second. In the first detection time, the output signal of the hydropower station corresponds to 50 waveforms in one second, and the starting frequency and the ending frequency of the output signal of the hydropower station in the first second are obtained by recording the first waveform and the last waveform. The frequency waveform has a one-to-one correspondence with the starting and ending frequencies of the hydropower station output signal.
S220, determining M detection frequencies which are in one-to-one correspondence with the continuous M time periods according to the average value of the starting frequency and the ending frequency of each time period.
And determining M detection frequencies corresponding to the M time periods one by using the average value of the starting frequency and the ending frequency in each time period. And adding the numerical values of the starting frequency and the ending frequency, and dividing the numerical values by 2 to calculate the average frequency corresponding to the starting frequency and the ending frequency, thereby determining the detection frequency.
Illustratively, a relation table between each time period and the detection frequency is established, as shown in table 1.
TABLE 1
Time Tn 1min 2min 3min 4min 5min 6min 7min 8min 9min 10min
Detecting frequency f1 f2 f3 f4 f5 f6 f7 f8 f9 f10
f1 … … f10 are the detection frequencies corresponding to the time periods, which are presented only in the form of a table, and the specific detection frequency values are not limited.
And S230, determining at least two predicted values of the detection frequency according to the M detection frequencies.
And S240, determining the predicted frequency of the hydropower station according to the predicted value of the detected frequency.
According to the embodiment of the invention, M groups of frequency values which are in one-to-one correspondence with continuous M time periods are obtained, each group of frequency values comprises the starting frequency and the ending frequency of the output signal of the hydropower station, the average frequency of the output signal of the hydropower station is calculated by utilizing the starting frequency and the ending frequency, and then M detection frequencies are determined.
EXAMPLE III
Fig. 3 is a schematic flowchart of a frequency prediction method for a hydropower station according to a third embodiment of the present invention, and on the basis of the third embodiment, a scheme for determining a predicted value of a detected frequency is specifically provided. The technical scheme of the embodiment comprises the following steps:
s310, M detection frequencies corresponding to the continuous M time periods one by one are obtained.
And S320, determining at least two unequal moving average terms according to the M detection frequencies.
The moving average term refers to the number of detection frequencies selected from the M detection frequencies. The value range of the moving average term Ni is 1< Ni < M, and Ni and i are positive integers; generally, the value range of the moving average term is greater than 1 and less than M. In alternative embodiments, the value range of Ni is 5. ltoreq. Ni. ltoreq.200. It is understood that the moving average term takes a minimum of two terms, and the maximum can take the M-1 term. For example, when M is 10, the value of Ni ranges from 2 to 9, and for unequal moving average terms, 4 and 5, or 4, 5, and 6 may be selected, where the specific number of the moving average terms is not specifically limited.
S330, according to the moving average item, determining the detection frequency participating in calculating the detection frequency predicted value in the M detection frequencies as a detection frequency calculation value corresponding to the moving average item.
After the number of the moving average items is determined, a part participating in calculation of the detection frequency needs to be further determined, and a detection frequency calculation value is determined according to the detection frequency participating in calculation of the detection frequency prediction value. And selecting different moving average items, corresponding to different detection frequencies participating in calculating the detection frequency predicted value, and further corresponding to different detection frequency calculated values.
And S340, determining detection frequency predicted values corresponding to the moving average items one to one according to the moving average items and the detection frequency calculated values corresponding to the moving average items.
The moving average term and the detection frequency predicted value corresponding to the moving average term form a calculation equation. The different moving average terms correspond to the detection frequency prediction values corresponding to the different moving average terms, and the calculation formula of the detection frequency prediction value corresponding to the moving average term Ni is as follows:
Figure BDA0003558073600000091
wherein, f'Ni+1The predicted value of the detection frequency corresponding to the moving average item Ni is obtained; f. ofjThe detection frequency corresponding to the jth time segment in the M detection frequencies is j is a positive integer.
And further, determining the detection frequency predicted values corresponding to the moving average items one by one according to the selected moving average items, the detection frequency calculated values corresponding to the moving average items and the detection frequency predicted value calculation formulas. For example, referring to table 1, when the moving average term Ni is 5, the corresponding detection frequency calculation value is 5, the duration of the selected time period is from 6min to 10min, the detection frequency prediction value corresponding to the moving average term is the detection frequency prediction value of 11min, and the ratio of the sum of the detection frequencies of 6min to 10min to the moving average term is the detection frequency prediction value corresponding to the moving average term Ni being 5. And when the moving average item Ni is 4, the corresponding detection frequency calculation value is 4, the duration of the selected time period is from 7min to 10min, and the detection frequency prediction value corresponding to the moving average item is the detection frequency prediction value of 11 min. The same detection frequency predicted value can be determined by selecting different moving average items. The above is merely an example, and the number of the selected items of the moving average and the time period of the selection are not particularly limited.
And S350, determining the prediction frequency of the hydropower station according to the detection frequency prediction value.
The embodiment of the invention determines the detection frequency participating in the calculation of the detection frequency predicted value in M detection frequencies by selecting different moving average items, and calculates the detection frequency predicted value by using the moving average items, the detection frequencies corresponding to the moving average items and the detection frequency predicted value calculation formulas. The problem of adjustment hysteresis caused by the fact that the current hydropower station frequency data are used for adjusting and controlling the state of a hydropower station unit is solved, and sensitivity and reliability of adjustment and control of the output signal of the hydropower station are improved.
Example four
Fig. 4 is a schematic flow chart of a frequency prediction method for a hydropower station according to a fourth embodiment of the present invention, and on the basis of the fourth embodiment, a scheme for determining a predicted frequency of the hydropower station is specifically provided. The technical scheme of the embodiment comprises the following steps:
s410, M detection frequencies corresponding to the continuous M time periods one by one are obtained.
And S420, determining at least two unequal moving average terms according to the M detection frequencies.
And S430, according to the moving average item, determining the detection frequency participating in the calculation of the detection frequency predicted value in the M detection frequencies as a detection frequency calculation value corresponding to the moving average item.
And S440, determining detection frequency predicted values corresponding to the moving average terms one by one according to the moving average terms and the detection frequency calculation values corresponding to the moving average terms.
S450, according to the moving average item, determining the detection frequency participating in calculating the standard error of the detection frequency predicted value in the M detection frequencies as the frequency error calculation value corresponding to the moving average item.
When the selected moving average item is determined, the detection frequency which is particularly involved in the calculation in the M detection frequencies can be correspondingly determined. And determining the detection frequency of the standard error participating in the detection of the frequency predicted value according to the moving average term and the detection frequency participating in the calculation of the detection frequency, wherein the detection frequency of the standard error participating in the calculation of the detection frequency predicted value can also be understood as a frequency error calculation value corresponding to the moving average term.
And S460, determining standard errors corresponding to the moving average terms according to the frequency error calculation value, the detection frequency prediction value and the moving average terms.
The method comprises the following steps that corresponding formulas exist among a frequency error calculation value, a detection frequency prediction value, a moving average term and standard errors corresponding to the moving average terms, an error calculation formula corresponding to the moving average term is determined according to the moving average term, and the error calculation formula corresponding to the moving average term Ni is as follows:
Figure BDA0003558073600000111
wherein Si is a standard error corresponding to the moving average term Ni; f. oftThe detection frequency corresponding to the t-th time period in the M detection frequencies is set, and t is a positive integer.
Further, the standard error corresponding to each moving average term is determined according to each moving average term, the detection frequency calculation value corresponding to each moving average term, and each error calculation formula. When the selected moving average terms are different, the corresponding standard errors Si are also different.
Illustratively, when M is 10 and the selected moving average is 5, then
Figure BDA0003558073600000112
When M is 10, the selected moving average term is 6, then
Figure BDA0003558073600000113
The above description is only exemplary, and the selection of the specific moving average term is not limited.
And S470, taking the moving average term corresponding to the minimum standard error in the standard errors as the calculated value of the moving average term for calculating the prediction frequency.
And calculating corresponding standard errors under the condition of selecting different moving average items by using a standard error calculation formula, comparing the calculated standard errors, and taking the moving average item corresponding to the minimum standard error in the standard errors as a moving average item calculation value for calculating the prediction frequency. And when the standard error corresponding to the moving average term of 5 is smaller than the standard error corresponding to the moving average term of 6, selecting the moving average term of 5 as the moving average term for calculating the prediction frequency.
And S480, determining a prediction frequency calculation formula for calculating the hydropower station according to the moving average term calculation value and a detection frequency prediction value calculation formula corresponding to the moving average term calculation value.
And S490, determining the predicted frequency of the hydropower station according to the predicted frequency calculation formula.
And finally determining a prediction frequency calculation formula of the hydropower station according to the determined moving average term calculation value and a detection frequency calculation formula corresponding to the moving average term calculation value. Illustratively, the calculation value of the moving average term is 5, the corresponding calculation formula of the predicted frequency is determined,
Figure BDA0003558073600000121
and further determining the predicted frequency of the hydropower station according to the determined predicted frequency calculation formula.
According to the embodiment of the invention, the frequency error calculation value corresponding to the moving average item is determined according to the selected moving average item, and the standard error is determined based on the frequency error calculation value, the detection frequency prediction value and the moving average item. And calculating standard errors corresponding to the moving average terms one by using an error calculation formula corresponding to the moving average terms, and comparing the standard errors corresponding to the moving average terms, and then taking the moving average term corresponding to the minimum standard error in the standard errors as a calculation value of the moving average term of the prediction frequency. And determining a prediction frequency calculation formula of the hydropower station after determining the moving average item calculation value, and further determining the prediction frequency of the hydropower station. The problem of adjustment hysteresis caused by the fact that the current hydropower station frequency data are used for adjusting and controlling the state of a hydropower station unit is solved, and sensitivity and reliability of adjustment and control of the output signal of the hydropower station are improved.
EXAMPLE five
Fig. 5 is a frequency prediction apparatus of a hydroelectric power station according to a fifth embodiment of the present invention. The means may be comprised of hardware and/or software. As shown in fig. 5, the apparatus includes: a detection frequency obtaining module 510, a detection frequency predicted value determining module 520, and a predicted frequency determining module 530.
A detection frequency obtaining module 510, configured to obtain M detection frequencies that correspond to the M consecutive time periods one to one; the detection frequency corresponding to each time period is the frequency value of the output signal of the hydropower station corresponding to the time period; m is a positive integer.
A detection frequency prediction value determining module 520, configured to determine at least two detection frequency prediction values according to the M detection frequencies.
And a predicted frequency determining module 530, configured to determine a predicted frequency of the hydropower station according to the detected frequency predicted value.
Further, the detection frequency obtaining module 510 is further configured to obtain M groups of frequency values corresponding to M consecutive time periods one to one; a group of frequency values corresponding to each time period comprises a starting frequency and an ending frequency of the output signal of the hydropower station within the first detection time in the time period;
and determining M detection frequencies which correspond to the continuous M time sections one by one according to the average value of the starting frequency and the ending frequency of each time section.
The detection frequency prediction value determination module 520 further includes a moving average term determination unit, a detection frequency calculation value determination unit, and a detection frequency prediction value determination unit.
The moving average item determining unit is used for determining at least two unequal moving average items according to the M detection frequencies; the value range of the moving average term Ni is 1< Ni < M, Ni and i are positive integers, and Ni is more than or equal to 5 and less than or equal to 200.
The detection frequency calculation value determining unit is used for determining the detection frequency participating in the calculation of the detection frequency prediction value in the M detection frequencies according to the moving average item, and the detection frequency calculation value is used as the detection frequency calculation value corresponding to the moving average item.
The detection frequency predicted value determining unit is used for determining detection frequency predicted values corresponding to the moving average items one by one according to the moving average items and detection frequency calculated values corresponding to the moving average items, and is also used for determining detection frequency predicted value calculation formulas corresponding to the moving average items according to the moving average items, and determining the detection frequency predicted values corresponding to the moving average items one by one according to the moving average items, the detection frequency calculated values corresponding to the moving average items and the detection frequency predicted value calculation formulas, wherein the detection frequency predicted value calculation formula corresponding to the moving average item Ni is as follows:
Figure BDA0003558073600000141
wherein, f'Ni+1The predicted value of the detection frequency corresponding to the moving average item Ni is obtained; f. ofjThe detection frequency corresponding to the jth time segment in the M detection frequencies is j is a positive integer.
The predicted frequency determining module 530 further comprises a frequency error calculation value determining unit, a standard error determining unit corresponding to the moving average term, a moving average term calculation value determining unit, a predicted frequency calculation formula determining unit of the hydropower station, and a hydropower station predicted frequency determining unit.
The frequency error calculation value determining unit is used for determining the detection frequency participating in calculating the standard error of the detection frequency predicted value in the M detection frequencies according to the moving average item as the frequency error calculation value corresponding to the moving average item.
And the standard error determining unit corresponding to the moving average term is used for determining the standard error corresponding to each moving average term according to the frequency error calculation value, the detection frequency prediction value and the moving average term. The standard error determining unit corresponding to the moving average term is further configured to determine an error calculation formula corresponding to the moving average term according to the moving average term, and determine standard errors corresponding to the moving average terms one to one according to the moving average terms, detection frequency calculation values corresponding to the moving average terms, and error calculation formulas, where the error calculation formula corresponding to the moving average term Ni is:
Figure BDA0003558073600000142
wherein Si is a standard error corresponding to the moving average term Ni; f. oftIs the detection frequency corresponding to the t-th time segment in the M detection frequencies, and t is positiveAn integer number.
The moving average term calculation value determination unit is used for taking the moving average term corresponding to the minimum standard error in the standard errors as the moving average term calculation value for calculating the prediction frequency.
And the prediction frequency calculation formula determination unit of the hydropower station is used for determining the prediction frequency calculation formula of the calculation hydropower station according to the moving average item calculation value and the detection frequency prediction value calculation formula corresponding to the moving average item calculation value.
The hydropower station prediction frequency determining unit is used for determining the prediction frequency of the hydropower station according to the prediction frequency calculation formula.
According to the embodiment of the invention, M detection frequencies which correspond to each other in M continuous time periods are obtained through the detection frequency obtaining module, at least two detection frequency predicted values are determined by utilizing the M detection frequencies, and finally, the prediction frequency of the hydropower station is determined according to the detection frequency predicted values. The frequency prediction device of the hydropower station can execute the frequency prediction method of the hydropower station provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
EXAMPLE six
Fig. 6 is a schematic structural diagram of an electronic device according to a sixth embodiment of the present invention, where the electronic device includes one or more processors; storage means for storing one or more programs; when executed by the one or more processors, cause the one or more processors to implement a method for frequency prediction for a hydroelectric power plant as provided by any of the embodiments of the present invention.
Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 6, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM)12, a Random Access Memory (RAM)13, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 can perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM)12 or the computer program loaded from a storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data necessary for the operation of the electronic apparatus 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
A number of components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. The processor 11 performs the various methods and processes described above, such as the frequency prediction method of a hydroelectric power plant.
EXAMPLE seven
The seventh embodiment of the present invention provides a computer-readable storage medium on which a computer program for implementing the method of the present invention is stored, which can be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), blockchain networks, and the Internet.
The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A method of frequency prediction for a hydroelectric power station, comprising:
acquiring M detection frequencies which are in one-to-one correspondence with the continuous M time periods; the detection frequency corresponding to each time period is the frequency value of the output signal of the hydropower station corresponding to the time period; m is a positive integer;
determining at least two detection frequency predicted values according to the M detection frequencies;
and determining the prediction frequency of the hydropower station according to the detection frequency prediction value.
2. The method of frequency prediction for a hydroelectric power plant of claim 1, wherein obtaining M detection frequencies in one-to-one correspondence with M consecutive time segments comprises:
acquiring M groups of frequency values which are in one-to-one correspondence with continuous M time periods; a set of frequency values for each of said time periods comprises a start frequency and an end frequency of said hydroelectric power station output signal during a first sensing time in said time period;
and determining M detection frequencies which are in one-to-one correspondence with the continuous M time sections according to the average value of the starting frequency and the ending frequency of each time section.
3. The method of frequency prediction of a hydroelectric power plant of claim 1, wherein determining at least two prediction values of the detected frequency from the M detected frequencies comprises:
determining at least two unequal moving average terms according to the M detection frequencies; the value range of the moving average term Ni is 1< Ni < M, and Ni and i are positive integers;
according to the moving average item, determining the detection frequency participating in calculating the detection frequency predicted value in the M detection frequencies as a detection frequency calculation value corresponding to the moving average item;
and determining a detection frequency predicted value corresponding to each moving average term one by one according to each moving average term and the detection frequency calculation value corresponding to each moving average term.
4. The method of claim 3, wherein determining a predicted value of the detection frequency corresponding to each moving average term based on each moving average term and the calculated value of the detection frequency corresponding to each moving average term comprises:
determining a detection frequency predicted value calculation formula corresponding to the moving average term according to the moving average term;
determining detection frequency predicted values corresponding to the moving average terms one by one according to the moving average terms, the detection frequency calculated values corresponding to the moving average terms and the detection frequency predicted value calculation formulas;
the predicted value calculation formula of the detection frequency corresponding to the moving average term Ni is as follows:
Figure FDA0003558073590000021
wherein, f'Ni+1The predicted value of the detection frequency corresponding to the moving average item Ni is obtained; f. ofjThe detection frequency corresponding to the jth time segment in the M detection frequencies is j is a positive integer.
5. The method of frequency prediction for a hydroelectric power plant of claim 4 wherein determining a predicted frequency for the hydroelectric power plant based on the predicted value of the detected frequency comprises:
determining the detection frequency participating in calculating the standard error of the detection frequency predicted value in M detection frequencies as a frequency error calculation value corresponding to the moving average term according to the moving average term;
determining a standard error corresponding to each moving average item according to the frequency error calculation value, the detection frequency prediction value and the moving average item;
taking the moving average term corresponding to the standard error with the minimum standard error in the standard errors as a calculated moving average term value for calculating the prediction frequency;
determining a prediction frequency calculation formula for calculating the hydropower station according to the moving average term calculation value and the detection frequency prediction value calculation formula corresponding to the moving average term calculation value;
and determining the predicted frequency of the hydropower station according to the predicted frequency calculation formula.
6. The method of frequency prediction for a hydroelectric power plant of claim 5, wherein determining a standard error for each moving average term based on the calculated frequency error value, the predicted detected frequency value, and the moving average term comprises:
determining an error calculation formula corresponding to the moving average term according to the moving average term;
determining standard errors corresponding to the moving average terms one by one according to the moving average terms, the detection frequency calculation values corresponding to the moving average terms and the error calculation formulas;
wherein, the error calculation formula corresponding to the moving average term Ni is:
Figure FDA0003558073590000031
wherein Si is the standard error corresponding to the moving average term Ni; f. oftThe detection frequency corresponding to the t-th time segment in the M detection frequencies is set, and t is a positive integer.
7. The method for frequency prediction of a hydroelectric power station according to claim 3, wherein Ni is 5. ltoreq. Ni.ltoreq.200.
8. A frequency prediction apparatus for a hydroelectric power station, comprising:
the detection frequency acquisition module is used for acquiring M detection frequencies which are in one-to-one correspondence with the continuous M time periods; the detection frequency corresponding to each time period is the frequency value of the output signal of the hydropower station corresponding to the time period; m is a positive integer;
the detection frequency predicted value determining module is used for determining at least two detection frequency predicted values according to the M detection frequencies;
and the prediction frequency determining module is used for determining the prediction frequency of the hydropower station according to the detection frequency prediction value.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of frequency prediction of a hydroelectric power plant of any of claims 1-7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores computer instructions for causing a processor to carry out, when executed, a method of frequency prediction of a hydroelectric power plant according to any of claims 1 to 7.
CN202210285582.7A 2022-03-22 2022-03-22 Frequency prediction method and device for hydropower station and storage medium Pending CN114611818A (en)

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