CN109034507A - Hydropower station amount prediction technique and device, computer equipment and storage medium - Google Patents
Hydropower station amount prediction technique and device, computer equipment and storage medium Download PDFInfo
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Abstract
This application involves a kind of hydropower station amount prediction technique, device, computer equipment and storage mediums, hydropower station amount-corresponding time relationship, target upstream power station based on target upstream power station and time offset and Accurate Prediction hydropower station amount to be predicted between power station to be predicted.It in whole process, needs not rely on precipitation prediction data, need not rely on flow metering devices with high costs, can simply and accurately realize and hydropower station amount is predicted.
Description
Technical field
This application involves hydropower technology fields, more particularly to a kind of hydropower station amount prediction technique, device, computer
Equipment and storage medium.
Background technique
Power station is the integration engineering facility that water energy is converted to electric energy.It generally comprises and is formed by water blocking, discharge structure
Reservoir and Diversion system of hydropower station, power plant building, electromechanical equipment etc..The high water level water of reservoir flows into workshop through diversion system and pushes away
Dynamic turbine-generator units issue electric energy, then boosted transformer, switchyard and transmission line of electricity input power grid.
Since hydropower station amount is easy to be influenced by water flow size, conventional hydropower station prediction technique is based on more
Prediction to rainfall, river discharge, but presently, there are the difficult points in precision for precipitation predicting, and river discharge needs higher cost
(equipment is up to 200,000-30 contingency sets).Therefore, how simple and Accurate Prediction hydropower station amount is that have difficulty to be solved at present
Topic.
Summary of the invention
Based on this, it is necessary in view of the above technical problems, provide a kind of simple and Accurate Prediction hydropower station amount water
Power station generated energy prediction technique, device, computer equipment and storage medium.
A kind of hydropower station amount prediction technique, which comprises
Search the corresponding target upstream power station in power station to be predicted, obtain the target upstream power station position and
Hydropower station amount-corresponding time relationship；
According to the position in the target upstream power station, obtain between the target upstream power station and power station to be predicted
Time offset；
Calculate the generated energy ratio in the power station to be predicted and the target upstream power station；
According to generated energy predicted time, the time offset, the generated energy ratio and the target upstream water power
Hydropower station amount-the corresponding time relationship stood predicts the hydropower station amount to be predicted.
The position according to the target upstream power station in one of the embodiments, obtains the target upstream
Time offset between power station and power station to be predicted includes:
Obtain the position in the power station to be predicted；
According to the position in the target upstream power station, the position in the power station to be predicted and river flow velocity, calculate
Time offset maximum value and time offset minimum value；
Match the hydropower station amount-corresponding time relationship in the target upstream power station and the water in the power station to be measured
Power station generated energy-corresponding time relationship, access time is inclined from the time offset maximum value and time offset minimum value
Shifting amount.
Hydropower station amount-the corresponding time relationship is to close hydropower station amount-time in one of the embodiments,
It is curve.
Hydropower station amount-the time in the matching target upstream power station is corresponding in one of the embodiments,
Hydropower station amount-corresponding time relationship of relationship and the power station to be measured, from the time offset maximum value and time
Access time, offset included: in offset minimum value
By the water to be measured after the hydropower station amount-time curve in the target upstream power station and negative offset
Hydropower station amount-the time curve in power station is matched, and the matching highest time offset of the goodness of fit is searched, wherein
The negative offset maximum value is the time offset maximum value, and the negative offset minimum value is that the time offset is minimum
Value.
Hydropower station amount-the corresponding time relationship is to close hydropower station amount-time in one of the embodiments,
It is curve, the generated energy ratio in the calculating power station to be predicted and the target upstream power station includes:
Hydropower station amount-the time relationship for obtaining the power station to be predicted within the scope of any time in historical record is bent
Line and the hydropower station amount-time curve in the target upstream power station；
It is equal to obtain the corresponding wave crest of the corresponding wave crest mean value in the power station to be predicted and the target upstream power station
Value；
Calculate the corresponding wave crest mean value in the power station to be predicted wave crest mean value corresponding with the target upstream power station
Ratio, obtain the generated energy ratio in the power station to be predicted and the target upstream power station.
The corresponding target upstream power station in power station to be predicted of searching includes: in one of the embodiments,
When the power station to be measured has the single upstream power station with basin, determine that the single upstream power station is mesh
Put on swimming power station；
When there is at least two upstream power station with basin in the power station to be measured, selection and the power transmission terminal to be measured
River is apart from nearest upstream power station as target upstream power station.
The corresponding target upstream power station in power station to be predicted of searching includes: in one of the embodiments,
When the upstream power station with basin is not present in the power station to be measured, the default cone in the power station to be predicted is obtained
Non- same basin upper water power station in shape regional scope；
Obtain distance between the non-same basin upper water power station and the power station to be predicted；
The power station parameter for obtaining the non-same basin upper water power station joins the power station in the non-same basin upper water power station
Number carries out the weighted calculation of default weight, and construction logic upstream power station, the power station parameter includes hydropower station amount-time
Corresponding relationship and water power station location, the default weight state non-same basin upper water power station and the water power to be predicted with described
Distance is at negative relationship between standing；
Using logic upper water power station as target upstream power station.
A kind of hydropower station amount prediction meanss, described device include:
Searching module obtains the target upstream water for searching the corresponding target upstream power station in power station to be predicted
The position in power station and hydropower station amount-corresponding time relationship；
Obtain module, for the position according to the target upstream power station, obtain the target upstream power station with to
Predict the time offset between power station；
Computing module, for calculating the generated energy ratio in the power station to be predicted and the target upstream power station；
Prediction module, for according to generated energy predicted time, the time offset, the generated energy ratio and described
Hydropower station amount-the corresponding time relationship in target upstream power station predicts the hydropower station amount to be predicted.
A kind of computer equipment, including memory and processor, the memory are stored with computer program, the processing
Device executes real such as the step of the above method when computer program.
A kind of computer readable storage medium is stored thereon with computer program described in computer program and is executed by processor
The step of Shi Shixian for example above-mentioned method.
Above-mentioned hydropower station amount prediction technique, device, computer equipment and storage medium are based on target upstream power station
Hydropower station amount-corresponding time relationship, time offset and standard between target upstream power station and power station to be predicted
Really predict hydropower station amount to be predicted.In whole process, need not rely on precipitation prediction data, need not rely on it is at high cost
High flow metering devices simply and can be realized accurately and be predicted hydropower station amount.
Detailed description of the invention
Fig. 1 is the applied environment figure of hydropower station amount prediction technique in one embodiment；
Fig. 2 is the flow diagram of hydropower station amount prediction technique in one embodiment；
Fig. 3 is the flow diagram of hydropower station amount prediction technique in another embodiment；
Fig. 4 is the structural block diagram of hydropower station amount prediction meanss in one embodiment；
Fig. 5 is the internal structure chart of computer equipment in one embodiment.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, not
For limiting the application.
Hydropower station amount prediction technique provided by the present application, can be applied in application environment as shown in Figure 1.To
It predicts power station end, searches corresponding target upstream power station, obtain position and the hydropower station in target upstream power station
Amount-corresponding time relationship obtains between target upstream power station and power station to be predicted according to the position in target upstream power station
Time offset, calculate the generated energy ratio in power station to be predicted and target upstream power station, according to generated energy predicted time,
Hydropower station amount-corresponding time relationship of time offset, generated energy ratio and target upstream power station is predicted to be predicted
Hydropower station amount.Specifically, power station and its upstream to be predicted power station can manage concentratedly, i.e., there is system in these power stations
One control center is stored with the corresponding generated energy-corresponding time relationship in each power station and water power station location in control center
Etc. data.Control center can execute above-mentioned treatment process, obtain after determining required power station to be predicted according to demand
The generated energy prediction result in power station to be predicted.
In one embodiment, as shown in Fig. 2, providing a kind of hydropower station amount prediction technique, comprising:
S200: searching the corresponding target upstream power station in power station to be predicted, obtain the position in target upstream power station with
And hydropower station amount-corresponding time relationship.
In simple terms, the application hydropower station amount prediction technique is to predict downstream based on the generated energy in upstream power station
The generated energy in power station.Target upstream power station refers to the reference power station as this prediction downstream power station.Target upstream
Power station can be the power station of necessary being, be also possible to consider that simulation is built based on the multiple power station weightings in upstream
Logic power station.Hydropower station amount-corresponding time relationship can be obtained based on the data in historical record, specifically can be with
For power station-time curve.
S400: it according to the position in target upstream power station, obtains between target upstream power station and power station to be predicted
Time offset.
River flow velocity is relatively slow, and general flow velocity is in 0.5 meter per second~2 meter per seconds or so, distance between upstream and downstream power station
As another farther out, because of this, it is very likely that the hydrologic regime in upstream river needs the longer time just can be in downstream Hydropower Station
Reveal and, this time difference is time offset.It is a value range since river flow velocity is for example above-mentioned, flows through identical
Distance (river distance between upstream power station and downstream power station) corresponding time offset can have maximum value and minimum value.
Suitable time offset is obtained from maximum value and minimum value.Specifically, due to when differing reasonable time offset,
Generated energy-the corresponding time relationship in upstream power station and the generated energy-time in downstream power station corresponding can have relatively high
With the goodness of fit, therefore, in generated energy-corresponding time relationship and historical record based on target upstream power station in historical record
Generated energy-the corresponding time relationship in downstream power station to be predicted, time offset minimum value in time offset maximum value it
Between select reasonable time offset.
S600: the generated energy ratio in power station to be predicted and target upstream power station is calculated.
There are the " inclined of time offset between the corresponding generated energy-corresponding time relationship in upstream and downstream power station as before
Difference " considers the time offset, more corresponding hydropower station amount to be predicted and target upstream hydropower station amount
Obtain generated energy ratio.Specifically, generated energy-corresponding time relationship can be generated energy-time graph, according to target upstream
Generated energy-the time graph in power station calculates target upstream power station t1~t2Interior wave crest mean value WOn, and according to water to be predicted
Generated energy-the time graph in power station calculates power station (t to be predicted1+ t)~(t2+ t) in wave crest mean value WUnder, generated energy ratio P
=WUnder/WOn。
S800: according to generated energy predicted time, time offset, generated energy ratio and the water power in target upstream power station
It stands generated energy-corresponding time relationship, predicts hydropower station amount to be predicted.
Generated energy predicted time refers to that the time that the needs proposed for power station to be predicted are predicted, such as operator need
Predict the generated energy of the power station A on July 25, then July 25 was generated energy predicted time.According to target upstream power station
Generated energy-corresponding time relationship, search that (July 25 00:00:00-t to 23:59:59-t on July 25, wherein t is that the time is inclined
Shifting amount) period generated energy data, according to the generated energy data found, accumulation calculating total power generation X, by target upstream water
The total power generation X* generated energy ratio P in power station, obtains hydropower station amount predicted value to be predicted.
Above-mentioned hydropower station amount prediction technique, the hydropower station amount based on target upstream power station-time corresponding pass
Time offset and Accurate Prediction hydropower station amount to be predicted between system, target upstream power station and power station to be predicted.
In whole process, needs not rely on precipitation prediction data, needs not rely on flow metering devices with high costs, it can be simple
And accurate realize predicts hydropower station amount.
As shown in figure 3, step S400 includes: in one of the embodiments,
S420: the position in power station to be predicted is obtained.
S440: according to the position in target upstream power station, the position in power station to be predicted and river flow velocity, the time is calculated
Offset maximum value and time offset minimum value.
S460: hydropower station amount-corresponding time relationship and power station to be measured water power in matching target upstream power station
It stands generated energy-corresponding time relationship, the access time offset from time offset maximum value and time offset minimum value.
It is such as above-mentioned since river flow velocity is one between a floating range value, target upstream power station and power station to be predicted
As distance it is distant (it is possible that hundred kilometers), therefore be corresponding with time offset maximum value and time offset minimum value, from
Suitable time offset is selected in the range of the two values.It is closed again due to hydropower station amount and river discharge at apparent
The feature of connection relationship, target upstream hydropower station amount can be after being delayed right times offset in hydropower station to be predicted
Occur in amount, therefore, can match target upstream power station hydropower station amount-corresponding time relationship and power station to be measured
Hydropower station amount-corresponding time relationship, it is inclined from time offset maximum value and time based on the matching highest data of the goodness of fit
Access time offset in shifting amount minimum value.Above-mentioned steps S460 in one of the embodiments, specifically: by target upstream water
Hydropower station amount-the time curve in power station and the hydropower station amount-time relationship in the power station to be measured after negative offset
Curve is matched, and the matching highest time offset of the goodness of fit is searched, wherein negative offset maximum value is that time offset is maximum
Value, negative offset minimum value are time offset minimum value.More specifically, hydropower station amount-corresponding time relationship can be with
For hydropower station amount-time curve, which can be generated energy per hour by time, ordinate of abscissa,
Since hydropower station amount is a data for variation, the relation curve can have wave crest within a certain period of time, or even have more
A wave crest searches the matching highest corresponding offset of the goodness of fit based on these wave crests.Specifically, it calculates wave crest and corresponds to the time
The standard variance of time difference, the selection criteria variance minimum corresponding time is shift time.
As shown in figure 3, hydropower station amount-corresponding time relationship is hydropower station amount-in one of the embodiments,
Time curve, step S600 include:
S620: the hydropower station amount-time relationship in power station to be predicted within the scope of any time is obtained in historical record
Curve and the hydropower station in target upstream power station amount-time curve.
S640: the corresponding wave crest mean value of the corresponding wave crest mean value in power station to be predicted and target upstream power station is obtained.
S660: the ratio of the corresponding wave crest mean value of the corresponding wave crest mean value in power station to be predicted and target upstream power station is calculated
Value, obtains the generated energy ratio in power station to be predicted and target upstream power station.
Historical record can be power station production run log, non-essential, can choose the current closer history of distance
Record the historical record etc. before data, such as three months.In the present embodiment, it using the data of historical record, calculates to pre-
Power station and target upstream hydropower station amount ratio are surveyed, and uses mean value computation mode, avoids individual abnormal datas to most
The influence of whole generated energy ratio improves result accuracy.
Searching the corresponding target upstream power station in power station to be predicted in one of the embodiments, includes: when water to be measured
When power station has the single upstream power station with basin, determine that the single upstream power station is target upstream power station；When to be measured
When power station has at least two upstream power station with basin, selection is with power transmission terminal river to be measured apart from nearest upstream water power
It stands as target upstream power station.
When power station to be predicted has the upstream power station with basin, due to the upstream power station and with the downstream in basin
Exist between the hydrographic data (predominantly water flow with flow parameters) in power station to be predicted be significantly associated with, corresponding relationship,
Therefore, when the upstream power station in same basin is single, directly using the single upstream power station as target upstream power transmission terminal, again
Since hydrographic data correlation and the distance between the two between upstream power station and cocurrent flow downstream power station are at negative relationship, because
This selects river apart from newest upstream power station as target upstream power station when there is multiple upstream power stations.
Searching the corresponding target upstream power station in power station to be predicted in one of the embodiments, includes: when water to be measured
When the upstream power station with basin is not present in power station, obtain on the non-same basin that power station to be predicted is preset within the scope of conical region
Swimming power station；Obtain distance between non-same basin upper water power station and power station to be predicted；Obtain non-same basin upper water power station
Power station parameter, the weighted calculation of default weight, construction logic upstream are carried out to the power station parameter in non-same basin upper water power station
Power station, power station parameter include hydropower station amount-corresponding time relationship and water power station location, preset weight and state non-cocurrent flow
Distance is at negative relationship between domain upstream power station and power station to be predicted；Using logic upper water power station as target upstream water power
It stands.
In practical application it is possible that the upstream power station with basin is not present in power station to be predicted, treated for same realization pre-
The Accurate Prediction for surveying hydropower station amount is selected using power station to be predicted as within the scope of the default conical region of origin herein
Non- same basin upper water power station, then based on the power station parameter in these non-same basin upper water power stations, using default weight
Weighted calculation, construction logic upstream power station, then using logic upper water power station as target upstream power station.Specifically,
Default conical region can be that angle is 120 degree, range of the coverage area without departing from current level-one administrative region of provinceing, or restriction
Conical region of its radius less than 200 kms.Default weight can be the weighted value based on historical empirical data setting, general to divide
It is A/S with weight, wherein A is common weight coefficient value, and S is the spacing in non-same basin upper water power station and power station to be predicted
From the sum of the weighted value of each non-same basin upper water power station distribution is 1.
It should be understood that although each step in the flow chart of Fig. 2-3 is successively shown according to the instruction of arrow,
These steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly stating otherwise herein, these steps
Execution there is no stringent sequences to limit, these steps can execute in other order.Moreover, at least one in Fig. 2-3
Part steps may include that perhaps these sub-steps of multiple stages or stage are not necessarily in synchronization to multiple sub-steps
Completion is executed, but can be executed at different times, the execution sequence in these sub-steps or stage is also not necessarily successively
It carries out, but can be at least part of the sub-step or stage of other steps or other steps in turn or alternately
It executes.
As shown in figure 4, a kind of hydropower station amount prediction meanss, device include:
Searching module 200 obtains target upstream water power for searching the corresponding target upstream power station in power station to be predicted
The position stood and hydropower station amount-corresponding time relationship；
Module 400 is obtained, for the position according to target upstream power station, obtains target upstream power station and water to be predicted
Time offset between power station；
Computing module 600, for calculating the generated energy ratio in power station to be predicted and target upstream power station；
Prediction module 800, for according to generated energy predicted time, time offset, generated energy ratio and target upstream
Hydropower station amount-the corresponding time relationship in power station, predicts hydropower station amount to be predicted.
Above-mentioned hydropower station amount prediction meanss, the hydropower station amount based on target upstream power station-time corresponding pass
Time offset and Accurate Prediction hydropower station amount to be predicted between system, target upstream power station and power station to be predicted.
In whole process, needs not rely on precipitation prediction data, needs not rely on flow metering devices with high costs, it can be simple
And accurate realize predicts hydropower station amount.
The position that module 400 is also used to obtain power station to be predicted is obtained in one of the embodiments,；According in target
The position in swimming power station, the position in power station to be predicted and river flow velocity, calculate time offset maximum value and time migration
Measure minimum value；It sends out in the power station of the hydropower station amount-corresponding time relationship and power station to be measured that match target upstream power station
Electricity-corresponding time relationship, the access time offset from time offset maximum value and time offset minimum value.
Hydropower station amount-corresponding time relationship is that hydropower station amount-time relationship is bent in one of the embodiments,
Line.
Obtain in one of the embodiments, module 400 be also used to by the hydropower station in target upstream power station amount-when
Between relation curve matched with the hydropower station amount-time curve in the power station to be measured after negative offset, search matching
The highest time offset of the goodness of fit, wherein negative offset maximum value is time offset maximum value, and negative offset minimum value is the time
Offset minimum value.
Computing module 600 is also used to obtain in historical record within the scope of any time to pre- in one of the embodiments,
Survey the hydropower station amount-time curve in power station and the hydropower station amount-time relationship in target upstream power station
Curve；Obtain the corresponding wave crest mean value of the corresponding wave crest mean value in power station to be predicted and target upstream power station；It calculates to pre-
The ratio for surveying the corresponding wave crest mean value in power station wave crest mean value corresponding with target upstream power station, obtain power station to be predicted and
The generated energy ratio in target upstream power station.
Searching module 200 is also used to there is the single upstream with basin when power station to be measured in one of the embodiments,
When power station, determine that the single upstream power station is target upstream power station；When power station to be measured has at least two with basin
When the power station of upstream, select with power transmission terminal river to be measured apart from nearest upstream power station as target upstream power station.
Searching module 200 is also used to that the upper water with basin is not present when power station to be measured in one of the embodiments,
When power station, the non-same basin upper water power station within the scope of the default conical region in power station to be predicted is obtained；It obtains on non-same basin
Distance between swimming power station and power station to be predicted；The power station parameter for obtaining non-same basin upper water power station, on non-same basin
The power station parameter in swimming power station carries out the weighted calculation of default weight, and construction logic upstream power station, power station parameter includes water power
Generated energy-corresponding time relationship of standing and water power station location preset weight and state non-same basin upper water power station and water to be predicted
Distance is at negative relationship between power station；Using logic upper water power station as target upstream power station.
Specific restriction about hydropower station amount prediction meanss may refer to predict above for hydropower station amount
The restriction of method, details are not described herein.Modules in above-mentioned hydropower station amount prediction meanss can be fully or partially through
Software, hardware and combinations thereof are realized.Above-mentioned each module can be embedded in the form of hardware or independently of the place in computer equipment
It manages in device, can also be stored in a software form in the memory in computer equipment, in order to which processor calls execution or more
The corresponding operation of modules.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction
Composition can be as shown in Figure 5.The computer equipment include by system bus connect processor, memory, network interface and
Database.Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory packet of the computer equipment
Include non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program and data
Library.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating
The database of machine equipment is for storing the data such as each water power station location and generated energy-corresponding time relationship.The computer equipment
Network interface be used to communicate with external terminal by network connection.To realize one when the computer program is executed by processor
Kind hydropower station amount prediction technique.
It will be understood by those skilled in the art that structure shown in Fig. 5, only part relevant to application scheme is tied
The block diagram of structure does not constitute the restriction for the computer equipment being applied thereon to application scheme, specific computer equipment
It may include perhaps combining certain components or with different component layouts than more or fewer components as shown in the figure.
In one embodiment, a kind of computer equipment is provided, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, processor perform the steps of when executing computer program
The corresponding target upstream power station in power station to be predicted is searched, position and the water power in target upstream power station are obtained
It stands generated energy-corresponding time relationship；
According to the position in target upstream power station, the time obtained between target upstream power station and power station to be predicted is inclined
Shifting amount；
Calculate the generated energy ratio in power station to be predicted and target upstream power station；
It is sent out according to generated energy predicted time, time offset, generated energy ratio and the power station in target upstream power station
Electricity-corresponding time relationship predicts hydropower station amount to be predicted.
In one embodiment, it is also performed the steps of when processor executes computer program
Obtain the position in power station to be predicted；According to the position in the position in target upstream power station, power station to be predicted with
And river flow velocity, calculate time offset maximum value and time offset minimum value；Match the power station in target upstream power station
Hydropower station amount-corresponding time relationship of generated energy-corresponding time relationship and power station to be measured, from time offset maximum value
With access time offset in time offset minimum value.
Hydropower station amount-corresponding time relationship is that hydropower station amount-time relationship is bent in one of the embodiments,
Line.
In one embodiment, it is also performed the steps of when processor executes computer program
By the water in the power station to be measured after the hydropower station amount-time curve in target upstream power station and negative offset
Power station generated energy-time curve is matched, and searches the matching highest time offset of the goodness of fit, wherein negative offset is most
Big value is time offset maximum value, and negative offset minimum value is time offset minimum value.
In one embodiment, it is also performed the steps of when processor executes computer program
Obtain in historical record the hydropower station amount-time curve in power station to be predicted within the scope of any time with
And the hydropower station amount-time curve in target upstream power station；Obtain the corresponding wave crest mean value in power station to be predicted with
And the corresponding wave crest mean value in target upstream power station；Calculate the corresponding wave crest mean value in power station to be predicted and target upstream power station
The ratio of corresponding wave crest mean value obtains the generated energy ratio in power station to be predicted and target upstream power station.
In one embodiment, it is also performed the steps of when processor executes computer program
When power station to be measured has the single upstream power station with basin, determine that the single upstream power station is in target
Swimming power station；When there is at least two upstream power station with basin in power station to be measured, selection and power transmission terminal river to be measured distance
Nearest upstream power station is as target upstream power station.
In one embodiment, it is also performed the steps of when processor executes computer program
When the upstream power station with basin is not present in power station to be measured, obtains power station to be predicted and preset conical region model
Enclose interior non-same basin upper water power station；Obtain distance between non-same basin upper water power station and power station to be predicted；It obtains non-
With the power station parameter in basin upper water power station, the weighting meter of default weight is carried out to the power station parameter in non-same basin upper water power station
It calculates, construction logic upstream power station, power station parameter includes hydropower station amount-corresponding time relationship and water power station location, in advance
If weight and stating between non-same basin upper water power station and power station to be predicted distance into negative relationship；Logic upper water power station is made
For target upstream power station.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
Machine program performs the steps of when being executed by processor
The corresponding target upstream power station in power station to be predicted is searched, position and the water power in target upstream power station are obtained
It stands generated energy-corresponding time relationship；
According to the position in target upstream power station, the time obtained between target upstream power station and power station to be predicted is inclined
Shifting amount；
Calculate the generated energy ratio in power station to be predicted and target upstream power station；
It is sent out according to generated energy predicted time, time offset, generated energy ratio and the power station in target upstream power station
Electricity-corresponding time relationship predicts hydropower station amount to be predicted.
In one embodiment, it is also performed the steps of when computer program is executed by processor
Obtain the position in power station to be predicted；According to the position in the position in target upstream power station, power station to be predicted with
And river flow velocity, calculate time offset maximum value and time offset minimum value；Match the power station in target upstream power station
Hydropower station amount-corresponding time relationship of generated energy-corresponding time relationship and power station to be measured, from time offset maximum value
With access time offset in time offset minimum value.
Hydropower station amount-corresponding time relationship is that hydropower station amount-time relationship is bent in one of the embodiments,
Line.
In one embodiment, it is also performed the steps of when computer program is executed by processor
By the water in the power station to be measured after the hydropower station amount-time curve in target upstream power station and negative offset
Power station generated energy-time curve is matched, and searches the matching highest time offset of the goodness of fit, wherein negative offset is most
Big value is time offset maximum value, and negative offset minimum value is time offset minimum value.
In one embodiment, it is also performed the steps of when computer program is executed by processor
Obtain in historical record the hydropower station amount-time curve in power station to be predicted within the scope of any time with
And the hydropower station amount-time curve in target upstream power station；Obtain the corresponding wave crest mean value in power station to be predicted with
And the corresponding wave crest mean value in target upstream power station；Calculate the corresponding wave crest mean value in power station to be predicted and target upstream power station
The ratio of corresponding wave crest mean value obtains the generated energy ratio in power station to be predicted and target upstream power station.
In one embodiment, it is also performed the steps of when computer program is executed by processor
When power station to be measured has the single upstream power station with basin, determine that the single upstream power station is in target
Swimming power station；When there is at least two upstream power station with basin in power station to be measured, selection and power transmission terminal river to be measured distance
Nearest upstream power station is as target upstream power station.
In one embodiment, it is also performed the steps of when computer program is executed by processor
When the upstream power station with basin is not present in power station to be measured, obtains power station to be predicted and preset conical region model
Enclose interior non-same basin upper water power station；Obtain distance between non-same basin upper water power station and power station to be predicted；It obtains non-
With the power station parameter in basin upper water power station, the weighting meter of default weight is carried out to the power station parameter in non-same basin upper water power station
It calculates, construction logic upstream power station, power station parameter includes hydropower station amount-corresponding time relationship and water power station location, in advance
If weight and stating between non-same basin upper water power station and power station to be predicted distance into negative relationship；Logic upper water power station is made
For target upstream power station.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Instruct relevant hardware to complete by computer program, computer program to can be stored in a non-volatile computer readable
It takes in storage medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, this Shen
Please provided by any reference used in each embodiment to memory, storage, database or other media, may each comprise
Non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
Each technical characteristic of above embodiments can be combined arbitrarily, for simplicity of description, not to above-described embodiment
In each technical characteristic it is all possible combination be all described, as long as however, the combination of these technical characteristics be not present lance
Shield all should be considered as described in this specification.
Above embodiments only express the several embodiments of the application, and the description thereof is more specific and detailed, but can not
Therefore it is construed as limiting the scope of the patent.It should be pointed out that for those of ordinary skill in the art,
Under the premise of not departing from the application design, various modifications and improvements can be made, these belong to the protection scope of the application.
Therefore, the scope of protection shall be subject to the appended claims for the application patent.
Claims (10)
1. a kind of hydropower station amount prediction technique, which comprises
The corresponding target upstream power station in power station to be predicted is searched, position and the water power in the target upstream power station are obtained
It stands generated energy-corresponding time relationship；
According to the position in the target upstream power station, obtain between the target upstream power station and power station to be predicted when
Between offset；
Calculate the generated energy ratio in the power station to be predicted and the target upstream power station；
According to generated energy predicted time, the time offset, the generated energy ratio and the target upstream power station
Hydropower station amount-corresponding time relationship predicts the hydropower station amount to be predicted.
2. the method according to claim 1, wherein the position according to the target upstream power station, is obtained
The time offset between the target upstream power station and power station to be predicted is taken to include:
Obtain the position in the power station to be predicted；
According to the position in the target upstream power station, the position in the power station to be predicted and river flow velocity, the time is calculated
Offset maximum value and time offset minimum value；
Match the hydropower station amount-corresponding time relationship in the target upstream power station and the power station in the power station to be measured
Generated energy-corresponding time relationship, the access time offset from the time offset maximum value and time offset minimum value.
3. according to the method described in claim 2, it is characterized in that, hydropower station amount-corresponding time relationship is water power
It stands generated energy-time curve.
4. according to the method described in claim 3, it is characterized in that, the power station hair in the matching target upstream power station
Hydropower station amount-corresponding time relationship of electricity-corresponding time relationship and the power station to be measured, from the time offset
Access time offset includes: in maximum value and time offset minimum value
By the power station to be measured after the hydropower station amount-time curve in the target upstream power station and negative offset
Hydropower station amount-time curve matched, search matching the highest time offset of the goodness of fit, wherein it is described
Negative offset maximum value is the time offset maximum value, and the negative offset minimum value is the time offset minimum value.
5. the method according to claim 1, wherein hydropower station amount-corresponding time relationship is water power
It stands generated energy-time curve, the generated energy ratio for calculating the power station to be predicted and the target upstream power station
Example include:
Obtain the hydropower station amount-time curve in the power station to be predicted within the scope of any time in historical record with
And the hydropower station amount-time curve in the target upstream power station；
Obtain the corresponding wave crest mean value of the corresponding wave crest mean value in the power station to be predicted and the target upstream power station；
Calculate the ratio of the corresponding wave crest mean value of the corresponding wave crest mean value in the power station to be predicted and the target upstream power station
Value, obtains the generated energy ratio in the power station to be predicted and the target upstream power station.
6. the method according to claim 1, wherein described search the corresponding target upstream water in power station to be predicted
Power station includes:
When the power station to be measured has the single upstream power station with basin, determine that the single upstream power station is in target
Swimming power station；
When there is at least two upstream power station with basin in the power station to be measured, selection and the power transmission terminal river to be measured
Apart from nearest upstream power station as target upstream power station.
7. the method according to claim 1, wherein described search the corresponding target upstream water in power station to be predicted
Power station includes:
When the upstream power station with basin is not present in the power station to be measured, obtains the power station to be predicted and preset tapered zone
Non- same basin upper water power station within the scope of domain；
Obtain distance between the non-same basin upper water power station and the power station to be predicted；
The power station parameter for obtaining the non-same basin upper water power station, to the power station parameter in the non-same basin upper water power station into
The weighted calculation of the default weight of row, construction logic upstream power station, the power station parameter include corresponding to hydropower station amount-time
Relationship and water power station location, the default weight and it is described state non-same basin upper water power station and the power station to be predicted it
Between distance at negative relationship；
Using logic upper water power station as target upstream power station.
8. a kind of hydropower station amount prediction meanss, which is characterized in that described device includes:
Searching module obtains the target upstream power station for searching the corresponding target upstream power station in power station to be predicted
Position and hydropower station amount-corresponding time relationship；
Obtain module, for the position according to the target upstream power station, obtain the target upstream power station with it is to be predicted
Time offset between power station；
Computing module, for calculating the generated energy ratio in the power station to be predicted and the target upstream power station；
Prediction module, for according to generated energy predicted time, the time offset, the generated energy ratio and the target
Hydropower station amount-the corresponding time relationship in upstream power station predicts the hydropower station amount to be predicted.
9. a kind of computer equipment, including memory and processor, the memory are stored with computer program, feature exists
In the step of processor realizes any one of claims 1 to 7 the method when executing the computer program.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
The step of method described in any one of claims 1 to 7 is realized when being executed by processor.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110990761A (en) * | 2019-12-23 | 2020-04-10 | 华自科技股份有限公司 | Hydrological model parameter calibration method and device, computer equipment and storage medium |
| CN111126708A (en) * | 2019-12-26 | 2020-05-08 | 广东电科院能源技术有限责任公司 | Method and device for predicting generating capacity of through-flow turbine |
| CN112132313A (en) * | 2020-08-17 | 2020-12-25 | 国电大渡河流域水电开发有限公司龚嘴水力发电总厂 | Water level prediction method and device and storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106127612A (en) * | 2016-07-05 | 2016-11-16 | 中国长江电力股份有限公司 | Power station is non-abandons water phase level of tail water change procedure Forecasting Methodology |
| CN108321806A (en) * | 2018-03-09 | 2018-07-24 | 贵州电网有限责任公司 | The multi-period tide optimization method of cascade hydropower water level control based on Real-time Feedback |
-
2018
- 2018-10-11 CN CN201811181495.7A patent/CN109034507B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106127612A (en) * | 2016-07-05 | 2016-11-16 | 中国长江电力股份有限公司 | Power station is non-abandons water phase level of tail water change procedure Forecasting Methodology |
| CN108321806A (en) * | 2018-03-09 | 2018-07-24 | 贵州电网有限责任公司 | The multi-period tide optimization method of cascade hydropower water level control based on Real-time Feedback |
Non-Patent Citations (2)
| Title |
|---|
| 刘晨曦: "云南电网大小水电发电能力预测方法与协调策略研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
| 高欢: "径流式二级水电站发电量优化及短期发电量预测", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110990761A (en) * | 2019-12-23 | 2020-04-10 | 华自科技股份有限公司 | Hydrological model parameter calibration method and device, computer equipment and storage medium |
| CN110990761B (en) * | 2019-12-23 | 2023-09-08 | 华自科技股份有限公司 | Hydrological model parameter calibration method, hydrological model parameter calibration device, computer equipment and storage medium |
| CN111126708A (en) * | 2019-12-26 | 2020-05-08 | 广东电科院能源技术有限责任公司 | Method and device for predicting generating capacity of through-flow turbine |
| CN112132313A (en) * | 2020-08-17 | 2020-12-25 | 国电大渡河流域水电开发有限公司龚嘴水力发电总厂 | Water level prediction method and device and storage medium |
| CN112132313B (en) * | 2020-08-17 | 2024-04-26 | 国能大渡河流域水电开发有限公司龚嘴水力发电总厂 | Water level prediction method, device and storage medium |
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