CN116388190A - Distributed photovoltaic harmonic quantitative evaluation method, system, terminal equipment and medium - Google Patents
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- 238000010168 coupling process Methods 0.000 claims abstract description 22
- 238000005859 coupling reaction Methods 0.000 claims abstract description 22
- 238000000926 separation method Methods 0.000 claims abstract description 22
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 14
- 238000004364 calculation method Methods 0.000 claims description 10
- 238000011002 quantification Methods 0.000 claims description 8
- 230000001186 cumulative effect Effects 0.000 claims description 2
- 238000011156 evaluation Methods 0.000 claims 1
- 238000009826 distribution Methods 0.000 description 7
- 230000008569 process Effects 0.000 description 7
- 230000002087 whitening effect Effects 0.000 description 3
- 238000010248 power generation Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
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- 238000004590 computer program Methods 0.000 description 1
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/01—Arrangements for reducing harmonics or ripples
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
Abstract
The invention relates to the technical field of distributed photovoltaic systems, and particularly discloses a distributed photovoltaic harmonic quantitative evaluation method, a system, terminal equipment and a medium; the method comprises the following steps: acquiring voltage at a public coupling point of a concerned time point and current data of each feeder line to form a feeder line current matrix; calculating the mutual information value of each feeder line current; selecting a feeder line with a mutual information value larger than a set value, adding current data of the feeder line to be used as a new column of data in a feeder line current matrix, and deleting original current data of the feeder line in the feeder line current matrix to form a new feeder line current matrix; calculating a new feeder current matrix by using an independent vector analysis algorithm to obtain a solutionA coupled separation matrix; based on the voltage at the point of common coupling and the separation matrix, a result is obtainedhHarmonic quantitative evaluation results of subharmonics. The invention can accurately evaluate the harmonic responsibility of a plurality of feeder lines with higher harmonic current correlation under the distributed photovoltaic access.
Description
Technical Field
The invention relates to the technical field of distributed photovoltaic systems, in particular to a distributed photovoltaic harmonic quantitative evaluation method, a system, terminal equipment and a medium.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
The photovoltaic power generation has intermittence, randomness and volatility, so that the state of the power distribution network is complex and changeable. Meanwhile, a large number of power electronic devices are connected into the power distribution network through photovoltaic power generation, a large number of low-frequency harmonics and switching order harmonics are introduced, so that the power quality problem of the power distribution network is more serious, and the method has important significance in harmonic quantitative evaluation research on the premise of improving the power quality.
The centralized harmonic quantitative evaluation is an algorithm for dividing the contribution of harmonic source loads connected by a plurality of feeder lines to harmonic voltages at a public coupling point, and because the power distribution network mostly presents a distributed structure, the centralized harmonic quantitative evaluation method is more common, however, in actual situations, current between the feeder lines has a coupling phenomenon, and the harmonic quantitative evaluation by adopting current data measured on the feeder lines is not necessarily in direct proportion to an actual value.
In order to obtain the theoretical current of each feeder line, a blind source separation algorithm is mainly adopted to separate the independent quantity at present, so that the theoretical current of each feeder line is obtained. However, the blind source separation algorithm needs to ensure the independence of each data, and under the scene of large-scale photovoltaic access, the current of each feeder line with photovoltaic access generally has higher correlation, and at the moment, the current cannot be directly calculated by using the blind source separation algorithm; in addition, in the centralized harmonic quantitative evaluation process, independence is also required between data, and the prior art needs to perform complex processing on the data to obtain a final harmonic quantitative evaluation result.
Disclosure of Invention
In order to solve the problems, the invention provides a distributed photovoltaic harmonic quantitative evaluation method, a system, terminal equipment and a medium, independent component analysis is carried out through mutual information value verification to obtain theoretical currents of all feeder lines, and then harmonic quantitative evaluation results of all feeder lines are obtained through linear regression, weighted correlation coefficients and current fluctuation coefficients, so that the harmonic quantitative evaluation results are closer to the true level.
In some embodiments, the following technical scheme is adopted:
a distributed photovoltaic harmonic quantitative evaluation method, comprising:
acquiring voltage at a public coupling point of a concerned time point and current data of each feeder line to form a feeder line current matrix;
calculating mutual information values of currents of all feeder lines based on current data of all feeder lines;
selecting a feeder line with a mutual information value larger than a set value, adding current data of the feeder line to be used as a new column of data in a feeder line current matrix, and deleting original current data of the feeder line in the feeder line current matrix to form a new feeder line current matrix;
calculating a new feeder current matrix by using an independent vector analysis algorithm to obtain a decoupled separation matrix;
based on the voltage at the point of common coupling and the separation matrix, a result is obtainedhHarmonic quantitative evaluation results of subharmonics.
Wherein, the saidhIn the harmonic quantitative evaluation result of subharmonic, the firstkColumn harmonic quantitative evaluation results
The sum of harmonic quantitative evaluation results of feeder lines with mutual information values larger than a set value is obtained;
obtaininghAfter harmonic quantitative evaluation results of subharmonic, supposing that the sum of feeder currents with mutual information values larger than a set value is decoupled, the obtained ith current data is that
In the feeder line with mutual information value greater than the set value, calculating the firstmFeeder current and +.>
Is a correlation coefficient of (2);
and carrying out harmonic quantitative evaluation on the feeder line with the mutual information value larger than a set value based on the correlation coefficient and the current fluctuation coefficient.
In other embodiments, the following technical solutions are adopted:
a distributed photovoltaic harmonic quantitative evaluation system comprising:
the data acquisition module is used for acquiring the voltage at the point of public coupling at the point of attention time and the current data of each feeder line to form a feeder line current matrix;
the mutual information value calculation module is used for calculating the mutual information value of the current of each feeder line based on the current data of each feeder line;
the theoretical current calculation module is used for selecting a feeder line with a mutual information value larger than a set value, adding current data of the feeder line to be used as a new column of data in a feeder line current matrix, and deleting original current data of the feeder line in the feeder line current matrix to form a new feeder line current matrix; calculating a new feeder current matrix by using an independent vector analysis algorithm to obtain a decoupled separation matrix;
a harmonic quantitative evaluation module for obtaining based on the voltage at the point of common coupling and the separation matrixhHarmonic quantitative evaluation results of subharmonics.
In other embodiments, the following technical solutions are adopted:
a terminal device comprising a processor and a memory, the processor for implementing instructions; the memory is used to store a plurality of instructions adapted to be loaded by the processor and to perform the distributed photovoltaic harmonic quantification assessment method described above.
In other embodiments, the following technical solutions are adopted:
a computer readable storage medium having stored therein a plurality of instructions adapted to be loaded by a processor of a terminal device and to perform the above-described distributed photovoltaic harmonic quantification assessment method.
Compared with the prior art, the invention has the beneficial effects that:
(1) On the basis of traditional multi-feeder harmonic quantitative evaluation, the invention considers the situation that the relevance of partial feeder harmonic sources is stronger under the condition of photovoltaic access and the traditional blind source separation algorithm is not applicable, restores the real current of each feeder line through the mutual information value and the independent vector analysis algorithm, and simultaneously considers the fluctuation factor of the harmonic current so that the harmonic quantitative evaluation result of each feeder line is more approximate to the real value; the power distribution system is particularly suitable for a power distribution system under high-proportion distributed photovoltaic access.
(2) Firstly, calculating the sum of harmonic quantitative evaluation results of feeder lines with lower correlation and harmonic quantitative evaluation results of several feeder lines with higher correlation; and then respectively calculating harmonic quantitative evaluation results of the feeder lines with higher correlation. The harmonic responsibility of a plurality of feeder lines with higher harmonic current correlation under the distributed photovoltaic access can be accurately evaluated.
Additional features and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
FIG. 1 is a schematic diagram of a large-scale photovoltaic parallel-grid multi-feeder structure in an embodiment of the present invention;
fig. 2 is a flowchart of a method for quantitatively evaluating distributed photovoltaic harmonics in an embodiment of the present invention.
Detailed Description
It should be noted that the following detailed description is illustrative and is intended to provide further explanation of the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments in accordance with the present application. As used herein, the singular is also intended to include the plural unless the context clearly indicates otherwise, and furthermore, it is to be understood that the terms "comprises" and/or "comprising" when used in this specification are taken to specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof.
Example 1
In one or more embodiments, a distributed photovoltaic harmonic quantitative evaluation method is disclosed, and in combination with fig. 2, the method specifically includes the following steps:
s101: acquiring voltage at the point of common coupling at the point of interest and current data of each feeder line to form a feeder line current matrix
；
As a specific example, fig. 1 shows a large-scale photovoltaic co-grid multi-feeder structure, with reference to a point of common coupling (Point of common coupling, PCC), dividing the system side and the user side; wherein, byhSubharmonic is exemplified by the system sidehSub-equivalent harmonic impedance
Andhsubequivalent harmonic current source->
The parallel connection is formed, and the user side is formed by connecting a plurality of feeder lines in parallel and comprises a user feeder line 1, a photovoltaic feeder line 2, … and light Fu Kuixian n; wherein the photovoltaic feed lines comprise a relatively high proportion of the feed lines, each feed line comprisinghInferior gradeEffective harmonic impedance->
Andhsubequivalent harmonic current source->
Is formed by connecting the two parts in parallel,irepresenting the first of the usersiAnd (5) a feeder line.
Feeder current matrix of this embodiment
The method comprises the following steps:
wherein, 
represent the firstnStrip feederhSubharmonic at time pointt n Current value at the time.
S102: calculating mutual information values of currents of all feeder lines based on current data of all feeder lines; the specific calculation formula is as follows:
wherein, 
representing feederiAnd feeder linejA kind of electronic devicehMutual information value of the secondary current.
S103: selecting a feeder line with the mutual information value larger than a set value, adding current data of the feeder line to be used as a new column of data in a feeder line current matrix, and deleting original current data of the feeder line in the feeder line current matrix to form a new feeder line current matrix.
In this embodiment, for feeders having mutual information values greater than a set value, the correlation degree is considered to be relatively high; the set value can be selected according to actual needs; such as: in this embodiment, the set value is selected to be 0.3.
The present embodiment forms a new feeder current matrix
The method comprises the following steps:
S104: and calculating the new feeder current matrix by using an independent vector analysis algorithm to obtain a decoupled separation matrix.
The independent vector analysis separates signals by utilizing the independence in the data, and on the premise that the signals have different spatial distributions, the mixed signals are separated by performing matrix transformation on the data on the assumption that the signals are irrelevant in time and frequency.
Independent vector analysis algorithm model:
in the method, in the process of the invention,
for observing signals, +.>
For the source signal, a is the coefficient matrix.
The observation signals represent a new feeder current matrix formed after mutual information value calculation; the source signal represents the harmonic current emitted when each harmonic source acts alone.
And (3) carrying out averaging treatment on the observation signals to obtain:
in the method, in the process of the invention,
is the mean signal of the observed signals.
Whitening the data, removing correlation between the metrology signals:
in the method, in the process of the invention,
for whitening matrix +.>
，/>
Is->
Eigenvalues of matrix +.>
Is that
Characteristic value matrix of matrix, ">
Matrix after data whitening, ++>
And->
Is a matrix of the same dimension.
Finally, obtaining a separation matrix (i.e. a theoretical current matrix) after iterative solution by a Niuzhan method
:
In the method, in the process of the invention,Wfor an iteratively solved parameter matrix, wherein
Is the first of (2)kThe sum of feeder currents with mutual information values larger than a set value is listed as the current after decoupling.
S105: based on the voltage at the point of common coupling and the separation matrix, a result is obtainedhHarmonic quantitative evaluation results of subharmonics.
In the embodiment, based on voltage data at the public coupling point, regression coefficients of all feeder lines are obtained by using a regression method;
wherein, 
is n 1hA subpublic coupling point harmonic voltage matrix, E is an identity matrix of n 1,Z n is a feeder linenIs used to determine the regression coefficients of (a),U s is a harmonic voltage on the system side.
Then, based on the separation matrix, obtainhThe harmonic quantitative evaluation result of subharmonic is:
in the method, in the process of the invention,
is->
Is the first of (2)lColumn (1)kColumn harmonic quantitative evaluation results->
The sum of harmonic quantitative evaluation results of feeder lines with higher mutual information values.
S106: obtaininghAnd after the harmonic quantitative evaluation result of the subharmonic, carrying out harmonic quantitative evaluation on the feeder line with the mutual information value larger than the set value.
Specifically, after decoupling the sum of feeder currents with mutual information values greater than a set value, the obtained ith current data is assumed to be
In the feeder line with mutual information value greater than the set value, the firstmFeeder current and +.>
Correlation coefficient of->
The method specifically comprises the following steps:
Based on the correlation coefficient and the current fluctuation coefficient, carrying out harmonic quantitative evaluation on the feeder line with the mutual information value larger than a set value, wherein the method specifically comprises the following steps:
wherein, 
is->
Is a cumulative value of (a); />
Is the current fluctuation coefficient; />
In the feeder line with mutual information value larger than the set value, the firstmThe average value of the currents of the feeder lines; />
In the feeder line with mutual information value larger than the set value, the firstmThe maximum current value of the strip feed line. />
In the feeder line representing that the mutual information value is larger than the set value, the firstmOf feed lineshAnd quantitatively evaluating the result of subharmonic.
The process finally realizes the quantitative evaluation of the harmonic wave of each feeder line.
Example two
In one or more embodiments, a distributed photovoltaic harmonic quantitative evaluation system is disclosed, comprising in particular:
the data acquisition module is used for acquiring the voltage at the point of public coupling at the point of attention time and the current data of each feeder line to form a feeder line current matrix;
the mutual information value calculation module is used for calculating the mutual information value of the current of each feeder line based on the current data of each feeder line;
the theoretical current calculation module is used for selecting a feeder line with a mutual information value larger than a set value, adding current data of the feeder line to be used as a new column of data in a feeder line current matrix, and deleting original current data of the feeder line in the feeder line current matrix to form a new feeder line current matrix; calculating a new feeder current matrix by using an independent vector analysis algorithm to obtain a decoupled separation matrix;
a harmonic quantitative evaluation module for obtaining based on the voltage at the point of common coupling and the separation matrixhHarmonic quantitative evaluation results of subharmonics.
The specific implementation of each module has been described in detail in the first embodiment, and will not be described in detail here.
Example III
In one or more embodiments, a terminal device is disclosed that includes a server including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the distributed photovoltaic harmonic quantitative evaluation method of embodiment one when executing the program. For brevity, the description is omitted here.
It should be understood that in this embodiment, the processor may be a central processing unit CPU, and the processor may also be other general purpose processors, digital signal processors DSP, application specific integrated circuits ASIC, off-the-shelf programmable gate array FPGA or other programmable logic device, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may include read only memory and random access memory and provide instructions and data to the processor, and a portion of the memory may also include non-volatile random access memory. For example, the memory may also store information of the device type.
In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or by instructions in the form of software.
Example IV
In one or more embodiments, a computer-readable storage medium is disclosed, in which a plurality of instructions are stored, the instructions being adapted to be loaded by a processor of a terminal device and to perform the distributed photovoltaic harmonic quantification assessment method described in embodiment one.
While the foregoing description of the embodiments of the present invention has been presented in conjunction with the drawings, it should be understood that it is not intended to limit the scope of the invention, but rather, it is intended to cover all modifications or variations within the scope of the invention as defined by the claims of the present invention.
Claims (10)
1. A distributed photovoltaic harmonic quantitative evaluation method, comprising:
acquiring voltage at a public coupling point of a concerned time point and current data of each feeder line to form a feeder line current matrix;
calculating mutual information values of currents of all feeder lines based on current data of all feeder lines;
selecting a feeder line with a mutual information value larger than a set value, adding current data of the feeder line to be used as a new column of data in a feeder line current matrix, and deleting original current data of the feeder line in the feeder line current matrix to form a new feeder line current matrix;
calculating a new feeder current matrix by using an independent vector analysis algorithm to obtain a decoupled separation matrix;
based on the voltage at the point of common coupling and the separation matrix, a result is obtainedhHarmonic quantitative evaluation results of subharmonics.
2. A distributed photovoltaic harmonic quantification assessment method according to claim 1, wherein the method compriseshIn the harmonic quantitative evaluation result of subharmonic, the firstkColumn harmonic quantitative evaluation results
The sum of harmonic quantitative evaluation results of feeder lines with mutual information values larger than a set value is obtained;
obtaininghAfter harmonic quantitative evaluation results of subharmonic, supposing that the sum of feeder currents with mutual information values larger than a set value is decoupled, the obtained ith current data is that
In the feeder line with mutual information value greater than the set value, calculating the firstmFeeder current and +.>
Is a correlation coefficient of (2);
and carrying out harmonic quantitative evaluation on the feeder line with the mutual information value larger than a set value based on the correlation coefficient and the current fluctuation coefficient.
3. A distributed photovoltaic harmonic quantification assessment method according to claim 2, wherein the first calculation is performedmFeeder current of strip feeder
Correlation coefficient of->
The method specifically comprises the following steps:
wherein, 
in the feeder line with mutual information value larger than the set value, the firstmFirst of the feeder linesi-individual current data; />
In the feeder line with mutual information value larger than the set value, the firstmThe average value of the currents of the feeder lines; />
And the average value of all current data is obtained after decoupling the sum of feeder currents with mutual information values larger than a set value.
4. The distributed photovoltaic harmonic quantitative evaluation method according to claim 2, wherein harmonic quantitative evaluation is performed on a feeder line with a mutual information value larger than a set value, specifically:
wherein, 
is->
Is a cumulative value of (a); />
Is the current fluctuation coefficient; />
In the feeder line with mutual information value larger than the set value, the firstmThe average value of the currents of the feeder lines; />
In the feeder line with mutual information value larger than the set value, the firstmA current maximum value of the strip feeder; />
In the feeder line representing that the mutual information value is larger than the set value, the firstmOf feed lineshAnd quantitatively evaluating the result of subharmonic.
5. The distributed photovoltaic harmonic quantitative evaluation method according to claim 1, wherein the calculating of the mutual information value of each feeder line current based on the current data of each feeder line is specifically as follows:
wherein, 
representing feederiA kind of electronic devicehEntropy of subharmonic current; />
Representing feederjA kind of electronic devicehEntropy of subharmonic current>
Representing feederiAnd feeder linejA kind of electronic devicehA joint entropy value of the subharmonic current; />
Representing feederiAnd feeder linejA kind of electronic devicehMutual information value of subharmonic current.
6. A distributed photovoltaic harmonic quantification evaluation method according to claim 1, wherein the voltage at the point of common coupling and the separation matrix are based onhThe harmonic quantitative evaluation result of subharmonic is specifically:
wherein, 
is the firstlHarmonic quantitative evaluation results of the strip feeder lines; />
Is a feeder linelRegression coefficients of (a); />
Is that
Is the first of (2)lColumn (S)/(S)>
Is a separation matrix; />
Represents n 1hA secondary common coupling point harmonic voltage matrix.
7. A distributed photovoltaic harmonic quantitative evaluation method as claimed in claim 6 wherein the regression coefficients for each feed line are solved using:
wherein, Z 1 、Z 2 、…、Z n the feed lines 1,2 …,nregression coefficient of E is n* An identity matrix of 1,U s is a harmonic voltage on the system side.
8. A distributed photovoltaic harmonic quantitative evaluation system, comprising:
the data acquisition module is used for acquiring the voltage at the point of public coupling at the point of attention time and the current data of each feeder line to form a feeder line current matrix;
the mutual information value calculation module is used for calculating the mutual information value of the current of each feeder line based on the current data of each feeder line;
the theoretical current calculation module is used for selecting a feeder line with a mutual information value larger than a set value, adding current data of the feeder line to be used as a new column of data in a feeder line current matrix, and deleting original current data of the feeder line in the feeder line current matrix to form a new feeder line current matrix; calculating a new feeder current matrix by using an independent vector analysis algorithm to obtain a decoupled separation matrix;
a harmonic quantitative evaluation module for obtaining based on the voltage at the point of common coupling and the separation matrixhHarmonic quantitative evaluation results of subharmonics.
9. A terminal device comprising a processor and a memory, the processor for implementing instructions; a memory for storing a plurality of instructions, wherein the instructions are adapted to be loaded by a processor and to perform the distributed photovoltaic harmonic quantification method of any of claims 1-7.
10. A computer readable storage medium having stored therein a plurality of instructions adapted to be loaded by a processor of a terminal device and to perform the distributed photovoltaic harmonic quantification assessment method of any of claims 1-7.
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