CN111191864A - Photovoltaic output data restoration method and system - Google Patents
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Abstract
The invention relates to a photovoltaic output data restoration method and a photovoltaic output data restoration system, which are used for acquiring historical output data of a target photovoltaic power station where a photovoltaic output sequence to be restored is located and photovoltaic power stations adjacent to the target photovoltaic power station; calculating correlation coefficients of the target photovoltaic power station and the adjacent photovoltaic power stations thereof based on the historical output data; based on the correlation coefficient, repairing the photovoltaic output data of the photovoltaic output sequence to be repaired in a set time period; the photovoltaic output sequence to be repaired is a photovoltaic output sequence with abnormal data. According to the technical scheme provided by the invention, the photovoltaic output repaired by the method takes the spatial correlation of the output of each photovoltaic power station into consideration, and the photovoltaic output repairing accuracy is improved.
Description
Technical Field
The invention relates to the field of power systems, in particular to a photovoltaic output data restoration method and system.
Background
At present, the gradual depletion of energy resources and the increasingly serious environmental pollution become the focus of close attention of governments and the public, energy is saved, the environment is protected, the benign interaction and coordination of economy and society are promoted, and the urgent need for promoting the sustainable development of the society is provided. Under the situation, new energy sources such as photovoltaic and the like generate electricity rapidly. Currently, the installed scale of new energy is the first in the world. The large-scale photovoltaic power generation grid connection has influence on links such as power grid planning, production and operation. In the aspect of planning, the operating characteristics and rules of photovoltaic power generation are important bases for optimizing photovoltaic power generation and power grid planning; in the aspect of scheduling operation, the photovoltaic power generation operation characteristics and rules under different time-space conditions can influence the formulation of a power generation plan. The big data thinking is utilized to deeply analyze the photovoltaic power generation operation data mining related rules, and necessary support can be provided for power grid planning and operation decisions.
However, as the industrial scale is continuously enlarged, many problems are gradually revealed, which becomes a bottleneck restricting the scale of the photovoltaic power generation industry. Due to the reasons of equipment failure, communication interruption, error codes and the like of the photovoltaic power station, the photovoltaic power generation operation data stored by the monitoring system is often abnormal. The loss and the abnormality of the photovoltaic data can seriously affect the accuracy of the extraction of the photovoltaic power generation operation rule, further affect the planning or dispatching operation decision of a power grid, and possibly threaten the safety and the stability of the power grid in serious cases.
Disclosure of Invention
In order to solve the defects in the prior art, the invention aims to provide a photovoltaic output data restoration method and a photovoltaic output data restoration system.
The purpose of the invention is realized by adopting the following technical scheme:
the invention provides a photovoltaic output data restoration method, which has the improvement that:
acquiring historical output data of a target photovoltaic power station where a photovoltaic output sequence to be repaired is located and photovoltaic power stations adjacent to the target photovoltaic power station;
calculating correlation coefficients of the target photovoltaic power station and the adjacent photovoltaic power stations thereof based on the historical output data;
based on the correlation coefficient, repairing the photovoltaic output data of the photovoltaic output sequence to be repaired in a set time period;
the photovoltaic output sequence to be repaired is a photovoltaic output sequence with abnormal data.
Further: the photovoltaic output sequence with abnormal data comprises:
the photovoltaic output value in the photovoltaic output sequence is a negative value;
the photovoltaic output value in the photovoltaic output sequence is larger than the installed capacity; and/or
And the photovoltaic output sequence has a breakpoint.
Further: before the calculating of the correlation coefficient between the target photovoltaic power station and the adjacent photovoltaic power stations based on the historical output data, the method further comprises the following steps:
intercepting historical output data between sunrise and sunset moments of a target photovoltaic power station and adjacent photovoltaic power stations;
calculating the maximum historical output of the target photovoltaic power station and the adjacent photovoltaic power stations based on the historical output data between sunrise and sunset moments, and normalizing the historical photovoltaic output data by taking the respective maximum historical output as a base value to obtain the normalized historical output data of the target photovoltaic power station and the historical output data of the adjacent photovoltaic power stations.
Further: the expression for calculating the correlation coefficient of the target photovoltaic power station and the adjacent photovoltaic power stations based on the historical output data is as follows:
wherein r isX,YPearson correlation coefficients representing X, Y two variables; e (XY) represents the desirability of the variable XY; e (X) represents the expectation of the variable X; e (Y) denotes the desirability of variable Y; e (X)2) Representing the squared variable X2(iii) a desire; e2(X) represents the square of the variable X desired e (X); e (Y)2) Representing the squared variable Y2(iii) a desire; e2(Y) represents the square of the variable Y desired E (Y).
Further, the repairing the photovoltaic output data of the photovoltaic output sequence to be repaired in a set time period based on the correlation coefficient includes:
determining a fitting probability set of a photovoltaic power station sample based on the correlation coefficient;
and repairing the photovoltaic output of the photovoltaic output sequence to be repaired in a set time period according to the fitting probability set of the photovoltaic power station sample.
Further: the determining a fitting probability set of a photovoltaic power plant sample based on the correlation coefficient includes:
selecting adjacent photovoltaic power stations with correlation coefficients larger than a preset threshold value from correlation coefficients of all adjacent photovoltaic power stations as photovoltaic power station sample sets { PSi };
according to { PSiDetermining a correlation coefficient set { Cov) according to correlation coefficients and output data corresponding to the photovoltaic power station samples in the setiAnd set of sample forces Pi}；
For the set of correlation coefficients { Cov }iNormalizing to obtain a normalized correlation coefficient set serving as a fitting probability set { Cov ] of a photovoltaic power station samplepsi}；
And i represents a photovoltaic power station, i is 1 … … m, and m is the total number of the photovoltaic power station samples in the photovoltaic power station sample set.
Further: before selecting the adjacent photovoltaic power station with the correlation coefficient larger than the preset threshold value from the correlation coefficients of the adjacent photovoltaic power stations as a photovoltaic power station sample set { PSi }, the method further comprises the following steps:
and calculating the sum sigma Cov of the correlation coefficients of the target photovoltaic power station and each adjacent photovoltaic power station, and carrying out normalization processing on the correlation coefficients by taking the sigma Cov as a base value to obtain the normalized correlation coefficients of each adjacent photovoltaic power station.
Further: according to the fitting probability set of the photovoltaic power station sample, repairing the photovoltaic output of the photovoltaic output sequence to be repaired in a set time period through the following formula:
in the formula: pobj(Tobj) Photovoltaic output sequence P for the presence of anomalous dataobjIn a set period of time TobjThe photovoltaic output of (1); m is the number of adjacent photovoltaic power stations; covpsiTo fit a set of probabilities { CovpsiCorrelation coefficients of photovoltaic power station samples; pi(Tobj) Set of outputs for the sample { P }iSamples of a photovoltaic power station in a set time period TobjPhotovoltaic output data of (c).
The invention also provides a photovoltaic output data recovery system, the improvement of which is that the system comprises:
the acquisition module is used for acquiring historical output data of a target photovoltaic power station where the photovoltaic output sequence to be repaired is located and photovoltaic power stations adjacent to the target photovoltaic power station;
the calculation module is used for calculating correlation coefficients of the target photovoltaic power station and the adjacent photovoltaic power stations thereof based on the historical output data;
the repairing module is used for repairing the photovoltaic output data of the photovoltaic output sequence to be repaired in a set time period based on the correlation coefficient;
the photovoltaic output sequence to be repaired is a photovoltaic output sequence with abnormal data.
Further, it is characterized in that: the photovoltaic output sequence with abnormal data comprises:
the photovoltaic output value in the photovoltaic output sequence is a negative value;
the photovoltaic output value in the photovoltaic output sequence is larger than the installed capacity; or
And the photovoltaic output sequence has a breakpoint.
Further, the system further comprises:
the intercepting module is used for intercepting historical output data between sunrise and sunset moments of the target photovoltaic power station and the adjacent photovoltaic power stations;
and the normalization module is used for calculating the maximum historical output of the target photovoltaic power station and the adjacent photovoltaic power stations based on the historical output data between the sunrise and the sunset moment, and normalizing the historical photovoltaic output data by taking the respective maximum historical output as a base value.
Further: the repair module includes:
the determining submodule is used for determining a photovoltaic power station sample set and a fitting probability set based on the correlation coefficient;
and the repairing submodule is used for repairing the photovoltaic output of the photovoltaic output sequence to be repaired in a set time period according to the photovoltaic power station sample set and the fitting probability set.
Further: the determination sub-module includes:
the selecting unit is used for selecting the adjacent photovoltaic power station with the correlation coefficient larger than a preset threshold value from the correlation coefficients of all the adjacent photovoltaic power stations as a photovoltaic power station sample set { PSi };
a corresponding unit for according to { PSiDetermining a correlation coefficient set { Cov) according to the correlation coefficient and the output data corresponding to each adjacent photovoltaic power station in the setiAnd set of sample forces Pi}；
A normalization unit for normalizing the set of correlation coefficients { Cov }iNormalization processing is carried out to obtain a normalized correlation coefficient set which is used as a photovoltaic power station sample fitting probability set { Cov }psi}；
Wherein i represents a photovoltaic power station, i is 1 … … m, and m is the total number of adjacent photovoltaic power stations in the photovoltaic power station sample set.
Further: the determining sub-module further includes:
and the calculation unit is used for calculating the sum sigma Cov of the correlation coefficients of the target photovoltaic power station and each adjacent photovoltaic power station, and normalizing the correlation coefficients by taking the sigma Cov as a base value.
Further, the repairing submodule is specifically configured to repair the photovoltaic output of the photovoltaic output sequence to be repaired in a set time period according to the following formula:
in the formula: pobj(Tobj) Photovoltaic output sequence P for the presence of anomalous dataobjIn a set period of time TobjThe photovoltaic output of (1); m is the number of adjacent photovoltaic power stations; covpsiTo fit a set of probabilities { CovpsiCorrelation coefficients of photovoltaic power station samples; pi(Tobj) Set of outputs for the sample { P }iMid-lightThe sample of the photovoltaic power station is in a set time period TobjPhotovoltaic output data of (c).
Compared with the closest prior art, the technical scheme provided by the invention has the beneficial effects that:
the invention provides a photovoltaic output data restoration method, which comprises the steps of obtaining historical output data of a target photovoltaic power station where a photovoltaic output sequence to be restored is located and photovoltaic power stations adjacent to the target photovoltaic power station; calculating a correlation coefficient set of the target photovoltaic power station and the adjacent photovoltaic power stations thereof based on the historical output data; based on the correlation coefficient set, photovoltaic output data of the photovoltaic output sequence to be repaired in a set time period are repaired; the photovoltaic output sequence to be repaired is a photovoltaic output sequence with abnormal data. The photovoltaic output after restoration considers the correlation of the output of each photovoltaic power station on the space, and the accuracy of photovoltaic output restoration is improved.
Drawings
FIG. 1 is a simplified flow chart of a photovoltaic output data restoration method provided by the present invention;
fig. 2 is a detailed flowchart of a photovoltaic output data restoration method provided by the present invention.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
The following description and the drawings sufficiently illustrate specific embodiments of the invention to enable those skilled in the art to practice them. Other embodiments may incorporate structural, logical, electrical, process, and other changes. The examples merely typify possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in or substituted for those of others. The scope of embodiments of the invention encompasses the full ambit of the claims, as well as all available equivalents of the claims. Embodiments of the invention may be referred to herein, individually or collectively, by the term "invention" merely for convenience and without intending to voluntarily limit the scope of this application to any single invention or inventive concept if more than one is in fact disclosed.
The first embodiment,
The invention provides a photovoltaic output data restoration method, a simple flow chart of which is shown in figure 1, and the method comprises the following steps:
acquiring historical output data of a target photovoltaic power station where a photovoltaic output sequence to be repaired is located and photovoltaic power stations adjacent to the target photovoltaic power station;
calculating correlation coefficients of the target photovoltaic power station and the adjacent photovoltaic power stations thereof based on the historical output data;
based on the correlation coefficient, repairing the photovoltaic output data of the photovoltaic output sequence to be repaired in a set time period;
the photovoltaic output sequence to be repaired is a photovoltaic output sequence with abnormal data.
Further: the photovoltaic output sequence with abnormal data comprises:
the photovoltaic output value in the photovoltaic output sequence is a negative value;
the photovoltaic output value in the photovoltaic output sequence is larger than the installed capacity; and/or
And the photovoltaic output sequence has a breakpoint.
Further: before the calculating of the correlation coefficient between the target photovoltaic power station and the adjacent photovoltaic power stations based on the historical output data, the method further comprises the following steps:
intercepting historical output data between sunrise and sunset moments of a target photovoltaic power station and adjacent photovoltaic power stations;
calculating the maximum historical output of the target photovoltaic power station and the adjacent photovoltaic power stations based on the historical output data between sunrise and sunset moments, and normalizing the historical photovoltaic output data by taking the respective maximum historical output as a base value to obtain the normalized historical output data of the target photovoltaic power station and the historical output data of the adjacent photovoltaic power stations.
Further: the expression for calculating the correlation coefficient of the target photovoltaic power station and the adjacent photovoltaic power stations based on the historical output data is as follows:
wherein r isX,YPearson correlation coefficients representing X, Y two variables; e (XY) represents the desirability of the variable XY; e (X) represents the expectation of the variable X; e (Y) denotes the desirability of variable Y; e (X)2) Representing the squared variable X2(iii) a desire; e2(X) represents the square of the variable X desired e (X); e (Y)2) Representing the squared variable Y2(iii) a desire; e2(Y) represents the square of the variable Y desired E (Y).
Further, the repairing the photovoltaic output data of the photovoltaic output sequence to be repaired in a set time period based on the correlation coefficient includes:
determining a fitting probability set of a photovoltaic power station sample based on the correlation coefficient;
and repairing the photovoltaic output of the photovoltaic output sequence to be repaired in a set time period according to the fitting probability set of the photovoltaic power station sample.
Further: the determining a fitting probability set of a photovoltaic power plant sample based on the correlation coefficient includes:
selecting adjacent photovoltaic power stations with correlation coefficients larger than a preset threshold value from correlation coefficients of all adjacent photovoltaic power stations as photovoltaic power station sample sets { PSi };
according to { PSiDetermining a correlation coefficient set { Cov) according to correlation coefficients and output data corresponding to the photovoltaic power station samples in the setiAnd set of sample forces Pi}；
For the set of correlation coefficients { Cov }iNormalizing to obtain a normalized correlation coefficient set serving as a fitting probability set { Cov ] of a photovoltaic power station samplepsi}；
And i represents a photovoltaic power station, i is 1 … … m, and m is the total number of the photovoltaic power station samples in the photovoltaic power station sample set.
Further: before selecting the adjacent photovoltaic power station with the correlation coefficient larger than the preset threshold value from the correlation coefficients of the adjacent photovoltaic power stations as a photovoltaic power station sample set { PSi }, the method further comprises the following steps:
and calculating the sum sigma Cov of the correlation coefficients of the target photovoltaic power station and each adjacent photovoltaic power station, and carrying out normalization processing on the correlation coefficients by taking the sigma Cov as a base value to obtain the normalized correlation coefficients of each adjacent photovoltaic power station.
Further: according to the fitting probability set of the photovoltaic power station sample, repairing the photovoltaic output of the photovoltaic output sequence to be repaired in a set time period through the following formula:
in the formula: pobj(Tobj) Photovoltaic output sequence P for the presence of anomalous dataobjIn a set period of time TobjThe photovoltaic output of (1); m is the number of adjacent photovoltaic power stations; covpsiTo fit a set of probabilities { CovpsiCorrelation coefficients of photovoltaic power station samples; pi(Tobj) Set of outputs for the sample { P }iSamples of a photovoltaic power station in a set time period TobjPhotovoltaic output data of (c).
The invention provides a photovoltaic output data restoration method based on correlation, which considers the spatial correlation of the output of each photovoltaic power station and can greatly improve the accuracy of data restoration.
The method specifically comprises the following steps:
step 1: identifying photovoltaic sequence abnormal data;
step 2: photovoltaic output data are processed; obtaining historical output data of a target photovoltaic power station where a photovoltaic output sequence to be repaired is located and photovoltaic power stations adjacent to the target photovoltaic power station
And step 3: calculating the correlation between the photovoltaic power station to be repaired and the adjacent photovoltaic power stations;
and 4, step 4: obtaining a sample photovoltaic power station and a fitting probability; calculating a correlation coefficient set of the target photovoltaic power station and the adjacent photovoltaic power stations thereof based on the historical output data
And 5: based on the correlation coefficient set, photovoltaic output data of the photovoltaic output sequence to be repaired in a set time period are repaired;
the photovoltaic output sequence to be repaired is a photovoltaic output sequence with abnormal data.
The following describes a specific implementation flow of the present invention with reference to a photovoltaic output data restoration flow chart (fig. 2).
Step 1-1: in the photovoltaic output sequence, if one of the following three conditions exists, the abnormal data is considered to exist: 1) the output is a negative value; 2) the output is greater than the installed capacity; 3) there is a break in the force sequence. Finding photovoltaic sequences P with abnormal dataobjAnd the target is listed as a target to be repaired, and the time to be repaired is recorded as Tobj。
Step 1-2: obtaining a photovoltaic power station PS where a photovoltaic sequence to be repaired is locatedobjAnd the historical wind power output data of the n adjacent photovoltaic power stations in recent years have the time resolution of 15min or 1 h.
Step 2-1: due to the particularity of photovoltaic output, only the sunrise t of each photovoltaic power station is interceptedonAnd sunset toffAnd analyzing the output curve between moments, wherein the intercepted photovoltaic output is a processed curve (the sunrise and sunset moments of the target photovoltaic power station and the adjacent photovoltaic power stations are the same).
Step 2-2: normalizing the processed curves of the photovoltaic output by taking the installed capacity of each photovoltaic power station as a base value to obtain a normalized target photovoltaic power station PSobjHistorical output data and historical output data of each adjacent photovoltaic power station.
Step 3-1: calculating a target photovoltaic power station PS according to historical output data of the photovoltaic power stationobjAnd the correlation coefficient of each photovoltaic power station adjacent to the photovoltaic power station. The correlation between the photovoltaic power stations is described by using Pearson correlation coefficients, and the calculation formula is as follows:
wherein r isX,YRepresenting X, Y two variablesPearson correlation coefficient of (a); e (XY) represents the desirability of the variable XY; e (X) represents the expectation of the variable X; e (Y) denotes the desirability of variable Y; e (X)2) Representing the squared variable X2(iii) a desire; e2(X) represents the square of the variable X desired e (X); e (Y)2) Representing the squared variable Y2(iii) a desire; e2(Y) represents the square of the variable Y desired E (Y).
Step 3-2: and calculating the sum sigma Cov of the correlation coefficients of the target photovoltaic power station and each adjacent photovoltaic power station, and carrying out normalization processing on the correlation coefficients by taking the sigma Cov as a base value to obtain n normalized correlation coefficients of the photovoltaic power stations.
Step 4-1: sorting the normalized photovoltaic power station correlation coefficients from large to small, selecting m adjacent photovoltaic power stations (the correlation coefficient is larger than 0.6, which indicates that the photovoltaic power stations have correlation more than medium) with the correlation coefficient larger than 0.6 with the target photovoltaic power station as a photovoltaic power station sample set, and recording the set as { PS (Power station) sample seti(i ═ 1 … … m). The corresponding set of correlation coefficients is denoted as { Covi(i-1 … … m), and the sample force set of the date to be repaired is marked as { P }i(i＝1……m)}。
Step 4-2: according to the method of step 3-2, the set of correlation coefficients { Cov }i(i is 1 … … m) to obtain a normalized set { Cov }psi(i-1 … … m) as a sample photovoltaic plant fitting probability set.
And 5: according to { P of sample photovoltaic power planti(i is 1 … … m) and the normalized sample photovoltaic power station fitting probability set, and repairing the photovoltaic sequence P with abnormal dataobjAt TobjThe output of the time period is as follows:
。Pi(Tobj) Representing a photovoltaic plant sample set PSiAt a set time period TobjThe photovoltaic output of (c).
Example II,
Based on the same inventive concept, the invention also provides a photovoltaic output data restoration system, and the improvement is that:
the acquisition module is used for acquiring historical output data of a target photovoltaic power station where the photovoltaic output sequence to be repaired is located and photovoltaic power stations adjacent to the target photovoltaic power station;
the calculation module is used for calculating correlation coefficients of the target photovoltaic power station and the adjacent photovoltaic power stations thereof based on the historical output data;
the repairing module is used for repairing the photovoltaic output data of the photovoltaic output sequence to be repaired in a set time period based on the correlation coefficient;
the photovoltaic output sequence to be repaired is a photovoltaic output sequence with abnormal data.
Further, it is characterized in that: the photovoltaic output sequence with abnormal data comprises:
the photovoltaic output value in the photovoltaic output sequence is a negative value;
the photovoltaic output value in the photovoltaic output sequence is larger than the installed capacity; or
And the photovoltaic output sequence has a breakpoint.
Further, the system further comprises:
the intercepting module is used for intercepting historical output data between sunrise and sunset moments of the target photovoltaic power station and the adjacent photovoltaic power stations;
and the normalization module is used for calculating the maximum historical output of the target photovoltaic power station and the adjacent photovoltaic power stations based on the historical output data between the sunrise and the sunset moment, and normalizing the historical photovoltaic output data by taking the respective maximum historical output as a base value.
Further: the repair module includes:
the determining submodule is used for determining a photovoltaic power station sample set and a fitting probability set based on the correlation coefficient;
and the repairing submodule is used for repairing the photovoltaic output of the photovoltaic output sequence to be repaired in a set time period according to the photovoltaic power station sample set and the fitting probability set.
Further: the determination sub-module includes:
the selecting unit is used for selecting the adjacent photovoltaic power station with the correlation coefficient larger than a preset threshold value from the correlation coefficients of all the adjacent photovoltaic power stations as a photovoltaic power station sample set { PSi };
a corresponding unit for according to { PSiDetermining a correlation coefficient set { Cov) according to the correlation coefficient and the output data corresponding to each adjacent photovoltaic power station in the setiAnd set of sample forces Pi}；
A normalization unit for normalizing the set of correlation coefficients { Cov }iNormalization processing is carried out to obtain a normalized correlation coefficient set which is used as a photovoltaic power station sample fitting probability set { Cov }psi}；
Wherein i represents a photovoltaic power station, i is 1 … … m, and m is the total number of adjacent photovoltaic power stations in the photovoltaic power station sample set.
Further: the determining sub-module further includes:
and the calculation unit is used for calculating the sum sigma Cov of the correlation coefficients of the target photovoltaic power station and each adjacent photovoltaic power station, and normalizing the correlation coefficients by taking the sigma Cov as a base value.
Further, the repairing submodule is specifically configured to repair the photovoltaic output of the photovoltaic output sequence to be repaired in a set time period according to the following formula:
in the formula: pobj(Tobj) Photovoltaic output sequence P for the presence of anomalous dataobjIn a set period of time TobjThe photovoltaic output of (1); m is the number of adjacent photovoltaic power stations; covpsiTo fit a set of probabilities { CovpsiCorrelation coefficients of photovoltaic power station samples; pi(Tobj) Set of outputs for the sample { P }iSamples of a photovoltaic power station in a set time period TobjPhotovoltaic output data of (c). The photovoltaic output after restoration considers the correlation of the output of each photovoltaic power station on the space, and the accuracy of photovoltaic output restoration is improved.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art can make modifications and equivalents to the embodiments of the present invention without departing from the spirit and scope of the present invention, which is set forth in the claims of the present application.
Claims (15)
1. A photovoltaic output data restoration method is characterized by comprising the following steps:
acquiring historical output data of a target photovoltaic power station where a photovoltaic output sequence to be repaired is located and photovoltaic power stations adjacent to the target photovoltaic power station;
calculating correlation coefficients of the target photovoltaic power station and the adjacent photovoltaic power stations thereof based on the historical output data;
based on the correlation coefficient, repairing the photovoltaic output data of the photovoltaic output sequence to be repaired in a set time period;
the photovoltaic output sequence to be repaired is a photovoltaic output sequence with abnormal data.
2. The photovoltaic output data restoration method according to claim 1, wherein: the photovoltaic output sequence with abnormal data comprises:
the photovoltaic output value in the photovoltaic output sequence is a negative value;
the photovoltaic output value in the photovoltaic output sequence is larger than the installed capacity; and/or
And the photovoltaic output sequence has a breakpoint.
3. The photovoltaic output data restoration method according to claim 1, wherein: before the calculating of the correlation coefficient between the target photovoltaic power station and the adjacent photovoltaic power stations based on the historical output data, the method further comprises the following steps:
intercepting historical output data between sunrise and sunset moments of a target photovoltaic power station and adjacent photovoltaic power stations;
calculating the maximum historical output of the target photovoltaic power station and the adjacent photovoltaic power stations based on the historical output data between sunrise and sunset moments, and normalizing the historical photovoltaic output data by taking the respective maximum historical output as a base value to obtain the normalized historical output data of the target photovoltaic power station and the historical output data of the adjacent photovoltaic power stations.
4. The photovoltaic output data restoration method according to claim 1, wherein: the expression for calculating the correlation coefficient of the target photovoltaic power station and the adjacent photovoltaic power stations based on the historical output data is as follows:
wherein r isX,YPearson correlation coefficients representing X, Y two variables; e (XY) represents the desirability of the variable XY; e (X) represents the expectation of the variable X; e (Y) denotes the desirability of variable Y; e (X)2) Representing the squared variable X2(iii) a desire; e2(X) represents the square of the variable X desired e (X); e (Y)2) Representing the squared variable Y2(iii) a desire; e2(Y) represents the square of the variable Y desired E (Y).
5. The method of repairing photovoltaic output data according to claim 1, wherein the repairing photovoltaic output data of the photovoltaic output sequence to be repaired over a set period of time based on the correlation coefficient comprises:
determining a fitting probability set of a photovoltaic power station sample based on the correlation coefficient;
and repairing the photovoltaic output of the photovoltaic output sequence to be repaired in a set time period according to the fitting probability set of the photovoltaic power station sample.
6. The photovoltaic output data restoration method according to claim 5, wherein: the determining a fitting probability set of a photovoltaic power plant sample based on the correlation coefficient includes:
selecting adjacent photovoltaic power stations with correlation coefficients larger than a preset threshold value from correlation coefficients of all adjacent photovoltaic power stations as photovoltaic power station sample sets { PSi };
according to { PSiDetermining a correlation coefficient set { Cov) according to correlation coefficients and output data corresponding to the photovoltaic power station samples in the setiAnd set of sample forces Pi}；
For the set of correlation coefficients { Cov }iNormalizing to obtain a normalized correlation coefficient set serving as a fitting probability set { Cov ] of a photovoltaic power station samplepsi}；
And i represents a photovoltaic power station, i is 1 … … m, and m is the total number of the photovoltaic power station samples in the photovoltaic power station sample set.
7. The photovoltaic output data restoration method according to claim 6, wherein: before selecting the adjacent photovoltaic power station with the correlation coefficient larger than the preset threshold value from the correlation coefficients of the adjacent photovoltaic power stations as a photovoltaic power station sample set { PSi }, the method further comprises the following steps:
and calculating the sum sigma Cov of the correlation coefficients of the target photovoltaic power station and each adjacent photovoltaic power station, and carrying out normalization processing on the correlation coefficients by taking the sigma Cov as a base value to obtain the normalized correlation coefficients of each adjacent photovoltaic power station.
8. The photovoltaic output data restoration method according to any one of claims 5 to 7, wherein: according to the fitting probability set of the photovoltaic power station sample, repairing the photovoltaic output of the photovoltaic output sequence to be repaired in a set time period through the following formula:
in the formula: pobj(Tobj) Photovoltaic output sequence P for the presence of anomalous dataobjIn a set period of time TobjThe photovoltaic output of (1); m is the number of adjacent photovoltaic power stations; covpsiTo fit a set of probabilities { CovpsiCorrelation coefficients of photovoltaic power station samples; pi(Tobj) Set of outputs for the sample { P }iSamples of a photovoltaic power station in a set time period TobjPhotovoltaic output data of (c).
9. A photovoltaic output data repair system, comprising:
the acquisition module is used for acquiring historical output data of a target photovoltaic power station where the photovoltaic output sequence to be repaired is located and photovoltaic power stations adjacent to the target photovoltaic power station;
the calculation module is used for calculating correlation coefficients of the target photovoltaic power station and the adjacent photovoltaic power stations thereof based on the historical output data;
the repairing module is used for repairing the photovoltaic output data of the photovoltaic output sequence to be repaired in a set time period based on the correlation coefficient;
the photovoltaic output sequence to be repaired is a photovoltaic output sequence with abnormal data.
10. The photovoltaic output data repair system of claim 9, wherein: the photovoltaic output sequence with abnormal data comprises:
the photovoltaic output value in the photovoltaic output sequence is a negative value;
the photovoltaic output value in the photovoltaic output sequence is larger than the installed capacity; or
And the photovoltaic output sequence has a breakpoint.
11. The photovoltaic output data repair system of claim 9, further comprising:
the intercepting module is used for intercepting historical output data between sunrise and sunset moments of the target photovoltaic power station and the adjacent photovoltaic power stations;
and the normalization module is used for calculating the maximum historical output of the target photovoltaic power station and the adjacent photovoltaic power stations based on the historical output data between the sunrise and the sunset moment, and normalizing the historical photovoltaic output data by taking the respective maximum historical output as a base value.
12. The photovoltaic output data repair system of claim 9, wherein: the repair module includes:
the determining submodule is used for determining a photovoltaic power station sample set and a fitting probability set based on the correlation coefficient;
and the repairing submodule is used for repairing the photovoltaic output of the photovoltaic output sequence to be repaired in a set time period according to the photovoltaic power station sample set and the fitting probability set.
13. The photovoltaic output data repair system of claim 12, wherein: the determination sub-module includes:
the selecting unit is used for selecting the adjacent photovoltaic power station with the correlation coefficient larger than a preset threshold value from the correlation coefficients of all the adjacent photovoltaic power stations as a photovoltaic power station sample set { PSi };
a corresponding unit for according to { PSiDetermining a correlation coefficient set { Cov) according to the correlation coefficient and the output data corresponding to each adjacent photovoltaic power station in the setiAnd set of sample forces Pi}；
A normalization unit for normalizing the set of correlation coefficients { Cov }iNormalization processing is carried out to obtain a normalized correlation coefficient set which is used as a photovoltaic power station sample fitting probability set { Cov }psi}；
Wherein i represents a photovoltaic power station, i is 1 … … m, and m is the total number of adjacent photovoltaic power stations in the photovoltaic power station sample set.
14. The photovoltaic output data repair system of claim 13, wherein: the determining sub-module further includes:
and the calculation unit is used for calculating the sum sigma Cov of the correlation coefficients of the target photovoltaic power station and each adjacent photovoltaic power station, and normalizing the correlation coefficients by taking the sigma Cov as a base value.
15. The photovoltaic output data restoration system according to any one of claims 12 to 14, wherein the restoration submodule is specifically configured to restore the photovoltaic output of the photovoltaic output sequence to be restored over a set period of time according to the following equation:
in the formula: pobj(Tobj) Photovoltaic output sequence P for the presence of anomalous dataobjIn a set period of time TobjThe photovoltaic output of (1); m is the number of adjacent photovoltaic power stations; covpsiTo fit a set of probabilities { CovpsiCorrelation coefficients of photovoltaic power station samples; pi(Tobj) Set of outputs for the sample { P }iSamples of a photovoltaic power station in a set time period TobjPhotovoltaic output data of (c).
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