CN110504678A - A kind of power signal reconstructing method and system based on prediction matrix - Google Patents
A kind of power signal reconstructing method and system based on prediction matrix Download PDFInfo
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- CN110504678A CN110504678A CN201910632666.1A CN201910632666A CN110504678A CN 110504678 A CN110504678 A CN 110504678A CN 201910632666 A CN201910632666 A CN 201910632666A CN 110504678 A CN110504678 A CN 110504678A
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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
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Abstract
The embodiment of the present invention discloses a kind of power signal reconstructing method and system based on prediction matrix, which comprises step 1, inputs the power signal sequence S of actual measurement；Step 2, data reconstruction is carried out to the power signal sequence S, the power signal sequence after reconstruct is SNEW.Specifically: SNEW=W*SSEG；Wherein W is prediction matrix；W*Indicate the pseudoinverse of the prediction matrix；SSEGFor section arrangement set.
Description
Technical field
The present invention relates to power domain more particularly to the reconstructing methods and system of a kind of power signal.
Background technique
With the development of smart grid, the analysis of household electricity load is become more and more important.Pass through point of power load
Analysis, domestic consumer can obtain the power information of each electric appliance and the fining inventory of the electricity charge in time；Power department can obtain
More detailed user power utilization information is obtained, and the accuracy of electro-load forecast can be improved, provides overall planning for power department
Foundation.Meanwhile using the power information of each electric appliance, would know that the electricity consumption behavior of user, this for family's energy consumption assessment and
The research of Energy Saving Strategy has directive significance.
Current power load decomposition is broadly divided into two methods of intrusive load decomposition and non-intrusion type load decomposition.It is non-to invade
Enter formula load decomposition method not needing that monitoring device is installed in the power inside equipment of load, it is only necessary to total according to power load
Information can be obtained the information on load of each electrical equipment.Non-intrusion type load decomposition method has less investment, convenient to use etc.
Feature, therefore, this method are suitable for the decomposition of family's load electricity consumption.
In non-intrusion type load decomposition algorithm, the switch events detection of electrical equipment is most important one link.Initially
Switch events detect the judgment basis that detect using the changing value of active-power P as switch events, facilitate and intuitively.This be because
It changes for the operating status of any one electrical equipment, consumed performance number also necessarily changes, and this changes
Change will also embody in the general power consumed by all electric appliances.Conjunction of this method in addition to needing to be arranged power change values
Manage threshold value, it is also necessary to solve the problems, such as that event detecting method exists in practical applications, such as the wink at certain appliance starting moment
When performance number will appear biggish spike (motor start-up current be much larger than rated current), will cause electric appliance steady state power changing value
Inaccuracy, to influence the judgement to switch event detection；And the transient process or length of different household electrical appliance or short (pulse is made an uproar
The duration of sound and occurrence frequency difference are larger), therefore the determination of power change values becomes more difficult；Due to power quality
Variation (such as voltage die) active power the case where will appear mutation, be likely to judge by accident in this way.Meanwhile power signal
In collection and transmission, the operating status of relevant instrument and equipment may temporarily be in abnormality, often will cause power
The missing of signal.
Therefore, in switch events detection process, used measured power signal is usually imperfect, imperfect using these
Power signal cannot correctly carry out switch events detection.Therefore how incomplete power signal is effectively reconstructed,
It is the key that the method success.Existing frequently-used method payes attention to this problem not enough, not taking effective measures solution also
This problem.
Summary of the invention
The object of the present invention is to provide a kind of power signal reconstructing method and system based on prediction matrix, the side proposed
The regularity of power signal is utilized in method, minimizes the error the reconstruct that principle realizes power signal according to prediction.The side proposed
Method has preferable robustness, calculates simple.
To achieve the above object, the present invention provides following schemes:
A kind of power signal reconstructing method based on prediction matrix, comprising:
Step 1, the power signal sequence S of actual measurement is inputted；
Step 2, data reconstruction is carried out to the power signal sequence S, the power signal sequence after reconstruct is SNEW.Specifically
Are as follows: SNEW=W*SSEG；Wherein W is prediction matrix；W* indicates the pseudoinverse of the prediction matrix；SSEGFor section arrangement set.
A kind of power signal reconfiguration system based on prediction matrix, comprising:
Module is obtained, the power signal sequence S of actual measurement is inputted；
Reconstructed module carries out data reconstruction to the power signal sequence S, and the power signal sequence after reconstruct is SNEW.Tool
Body are as follows: SNEW=W*SSEG；Wherein W is prediction matrix；W* indicates the pseudoinverse of the prediction matrix；SSEGFor section arrangement set.
The specific embodiment provided according to the present invention, the invention discloses following technical effects:
Although switch events detection method has a wide range of applications in non-intrusion type load decomposition, and technology relative at
It is ripe, but power signal usually lacks in collection and transmission, is also usually submerged in the stronger impulsive noise of amplitude, benefit
Switch events detection cannot be correctly carried out with these incomplete power signals.Therefore how effectively to reconstruct imperfect
Power signal, be the key that the method success.Existing frequently-used method is paid attention to not enough, not taken also to this problem
The measure of effect solves the problems, such as this.
The object of the present invention is to provide a kind of power signal reconstructing method and system based on prediction matrix, the side proposed
The regularity of power signal is utilized in method, minimizes the error the reconstruct that principle realizes power signal according to prediction.The side proposed
Method has preferable robustness, calculates simple.
Detailed description of the invention
It in order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described.It is clear that drawings in the following description are only some embodiments of the invention,
For those of ordinary skill in the art, without creative efforts, it can also be obtained according to these attached drawings
Other attached drawings.
Fig. 1 is method flow schematic diagram of the invention；
Fig. 2 is system structure diagram of the invention；
Fig. 3 is the flow diagram of present invention specific implementation case.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description.Obviously, the described embodiment is only a part of the embodiment of the present invention, instead of all the embodiments.Based on this
Embodiment in invention, every other reality obtained by those of ordinary skill in the art without making creative efforts
Example is applied, shall fall within the protection scope of the present invention.
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, with reference to the accompanying drawing and specific real
Applying mode, the present invention is described in further detail.
A kind of flow diagram of the power signal reconstructing method based on prediction matrix of Fig. 1
Fig. 1 is a kind of flow diagram of the power signal reconstructing method based on prediction matrix of the present invention.As shown in Figure 1,
A kind of power signal reconstructing method based on prediction matrix specifically includes the following steps:
Step 1, the power signal sequence S of actual measurement is inputted；
Step 2, data reconstruction is carried out to the power signal sequence S, the power signal sequence after reconstruct is SNEW.Specifically
Are as follows: SNEW=W*SSEG；Wherein W is prediction matrix；W* indicates the pseudoinverse of the prediction matrix；SSEGFor section arrangement set.
Before the step 2, the method also includes:
Step 3, the prediction matrix W and described section of arrangement set S are soughtSEG。
The step 3 includes:
Step 301, according to the sequence of element in the power signal sequence S, every 9 elements form a section sequence, altogether
HaveA described section of sequence.If 7I > N, insufficient element is set to S in i-th section sequenceN；Wherein N is the power
The number of element in signal sequence S；SNFor the last one element in the power signal sequence S,It indicates to being rounded on *.
Step 302, described section of sequence is reassembled as described section of arrangement set S in sequenceSEG, specifically:
Step 302, the prediction matrix W is initialized, specifically:
W=[ωij]N×N
ωij~Gauss [η, σ2]: it is η, variance σ from mean value2Gaussian Profile randomly select.
η,σ2: estimated according to the power signal sequence S
Step 303, iteration updates the prediction matrix W, specifically:
The first step,
Second step,
Third step,
Step 304, repeat step 303, until the adjacent iteration twice of the prediction matrix W difference less than 0.001 until；And
Using last time iteration result as the end value of the prediction matrix W.
A kind of structure of power signal reconfiguration system based on prediction matrix of Fig. 2 is intended to
Fig. 2 is a kind of structural schematic diagram of the power signal reconfiguration system based on prediction matrix of the present invention.As shown in Fig. 2,
A kind of power signal reconfiguration system based on prediction matrix includes with flowering structure:
Module 401 is obtained, the power signal sequence S of actual measurement is inputted；
Reconstructed module 402 carries out data reconstruction to the power signal sequence S, and the power signal sequence after reconstruct is
SNEW.Specifically: SNEW=W*SSEG；Wherein W is prediction matrix；W* indicates the pseudoinverse of the prediction matrix；SSEGFor section sequence sets
It closes.
The system, further includes:
Computing module 403 seeks the prediction matrix W and described section of arrangement set SSEG。
A specific implementation case is provided below, further illustrates the solution of the present invention
Fig. 3 is the flow diagram of present invention specific implementation case.As shown in figure 3, specifically includes the following steps:
1. inputting the power signal sequence of actual measurement
S=[s1,s2,…,sN-1,sN]
Wherein:
S: actual measurement acoustic signal data sequence, length N
si, i=1,2 ..., N: serial number i actual measurement acoustic signal
2. generating section sequence
According to the sequence of element in the power signal sequence S, every 9 elements form a section sequence, share
A described section of sequence.If 7I > N, insufficient element is set to S in i-th section sequenceN；Wherein N is the power signal sequence
The number of element in S；SNFor the last one element in the power signal sequence S,It indicates to being rounded on *.
3. generating section arrangement set
Described section of sequence is reassembled as described section of arrangement set S in sequenceSEG, specifically:
4. iteration seeks prediction matrix
The first step initializes the prediction matrix W, specifically:
W=[ωij]N×N
ωij~Gauss [η, σ2]: it is η, variance σ from mean value2Gaussian Profile randomly select.
η,σ2: estimated according to the power signal sequence S
Second step, iteration update the prediction matrix W, specifically:
Third step, repeat second step, until the adjacent iteration twice of the prediction matrix W difference less than 0.001 until；And with
End value of the last time iteration result as the prediction matrix W.
5. data reconstruction
Data reconstruction is carried out to the power signal sequence S, the power signal sequence after reconstruct is SNEW.Specifically: SNEW
=W*SSEG；Wherein W is prediction matrix；W* indicates the pseudoinverse of the prediction matrix；SSEGFor section arrangement set.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with other
The difference of embodiment, the same or similar parts in each embodiment may refer to each other.For system disclosed in embodiment
For, since it is corresponded to the methods disclosed in the examples, so description is relatively simple, related place is referring to method part illustration
.
Used herein a specific example illustrates the principle and implementation of the invention, and above embodiments are said
It is bright to be merely used to help understand method and its core concept of the invention；At the same time, for those skilled in the art, foundation
Thought of the invention, there will be changes in the specific implementation manner and application range.In conclusion the content of the present specification is not
It is interpreted as limitation of the present invention.
Claims (5)
1. a kind of power signal reconstructing method based on prediction matrix characterized by comprising
Step 1, the power signal sequence S of actual measurement is inputted；
Step 2, data reconstruction is carried out to the power signal sequence S, the power signal sequence after reconstruct is SNEW.Specifically:
SNEW=W*SSEG；Wherein W is prediction matrix；W*Indicate the pseudoinverse of the prediction matrix；SSEGFor section arrangement set.
2. the method according to claim 1, wherein before the step 2, the method also includes:
Step 3, the prediction matrix W and described section of arrangement set S are soughtSEG。
3. according to the method described in claim 2, it is characterized in that, the step 3 includes:
Step 301, according to the sequence of element in the power signal sequence S, every 9 elements form a section sequence, shareA described section of sequence.If 7I > N, insufficient element is set to S in i-th section sequenceN；Wherein N is power letter
The number of element in number sequence S；SNFor the last one element in the power signal sequence S,It indicates to being rounded on *.
Step 302, described section of sequence is reassembled as described section of arrangement set S in sequenceSEG, specifically:
Step 302, the prediction matrix W is initialized, specifically:
W=[ωij]N×N
ωij~Gauss [η, σ2]: it is η, variance σ from mean value2Gaussian Profile randomly select.
η,σ2: estimated according to the power signal sequence S
Step 303, iteration updates the prediction matrix W, specifically:
The first step,
Second step,
Third step,
Step 304, repeat step 303, until the adjacent iteration twice of the prediction matrix W difference less than 0.001 until；And with most
End value of the iteration result as the prediction matrix W afterwards.
4. a kind of power signal reconstructing method system based on prediction matrix characterized by comprising
Module is obtained, the power signal sequence S of actual measurement is inputted；
Reconstructed module carries out data reconstruction to the power signal sequence S, and the power signal sequence after reconstruct is SNEW.Specifically
Are as follows: SNEW=W*SSEG；Wherein W is prediction matrix；W*Indicate the pseudoinverse of the prediction matrix；SSEGFor section arrangement set.
5. system according to claim 4, which is characterized in that further include:
Computing module seeks the prediction matrix W and described section of arrangement set SSEG。
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112179479A (en) * | 2020-11-06 | 2021-01-05 | 华北电力大学 | Power signal reconstruction method and system by using shaping factor |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112179479A (en) * | 2020-11-06 | 2021-01-05 | 华北电力大学 | Power signal reconstruction method and system by using shaping factor |
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