CN106802379B - The load switch detection and recognition methods of a kind of adaptive threshold and system - Google Patents
The load switch detection and recognition methods of a kind of adaptive threshold and system Download PDFInfo
- Publication number
- CN106802379B CN106802379B CN201710127964.6A CN201710127964A CN106802379B CN 106802379 B CN106802379 B CN 106802379B CN 201710127964 A CN201710127964 A CN 201710127964A CN 106802379 B CN106802379 B CN 106802379B
- Authority
- CN
- China
- Prior art keywords
- power
- current
- preset threshold
- signal
- load
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
- Measurement Of Current Or Voltage (AREA)
Abstract
The invention discloses a kind of detection of the load switch of adaptive threshold and recognition methods, comprising: is acquired to the current analog signal and voltage analog signal of subscriber household electricity consumption;The current analog signal and voltage analog signal are handled, current digital signal and voltage digital signal are obtained;The power level difference in two neighboring period is calculated according to the current digital signal and voltage digital signal, and is classified according to the power difference to load;The current strength difference in two neighboring period is calculated, and the current strength difference is compared with preset threshold, judges whether the switch events loaded;According to the voltage digital signal and current digital signal extraction signal characteristic after the switch events loaded;And Classification and Identification and output loading type are carried out to load according to the signal characteristic.The present invention classifies according to different loads power, and different comparison threshold values is arranged, and improves the accuracy rate that event detection is opened and closed to load.
Description
Technical field
The present invention relates to electric quantity metering fields, and examine more particularly, to a kind of load switch of phase adaptive threshold
Survey and recognition methods and system.
Background technique
Smart grid is the developing goal of the following power grid, and the realization of smart grid need to rely on non-intrusion type load know
The realization of other technology.Non-intrusion type remained capacity technology needs to complete the detection to load switch state, load electrical feature
Extraction and remained capacity.In the realization of non-intrusion type remained capacity technology, due to the diversity and complexity of load, it is difficult
The switch state of all kinds of loads can accurately be detected by finding a kind of method.
Currently, having much for the method for the switch detection of load, mainly there are Waveform Matching, current method, power method etc., answer
With it is most common be current method and power method, but due to the diversity and complexity of load, which kind of method no matter is taken all can not
Guarantee accuracy.Existing defect is main are as follows: for low power load, the case where missing inspection usually occur even be can't detect
The case where switch events;Usually there is the case where repeated detection switch for powerful load;None of these methods can be simultaneous
Care for the detection of various power terminations;Load switch event detection inaccuracy, based on the load electrical carried out after switch events detection
Feature extraction and remained capacity work just not can guarantee its accuracy yet.
Therefore, how to improve the accuracy of load switch event detection and remained capacity is urgent problem.
Summary of the invention
The present invention provides a kind of detection of the load switch of adaptive threshold and recognition methods, by non-intrusion type remained capacity
Method is applied in intelligent appliance electricity consumption amount control system, solves load switch detection and the accuracy of remained capacity is not high
Problem.
To solve the above-mentioned problems, according to an aspect of the invention, there is provided a kind of load switch of adaptive threshold
Detection and recognition methods, which comprises
The current analog signal and voltage analog signal of subscriber household electricity consumption are acquired;
The current analog signal and voltage analog signal are handled, current digital signal and voltage digital letter are obtained
Number;
The power level difference in two neighboring period, and root are calculated according to the current digital signal and voltage digital signal
Classify according to the power difference to load;
The current strength difference in two neighboring period is calculated, and the current strength difference is compared with preset threshold
Compared with judging whether the switch events loaded, wherein the preset threshold includes: high-power to open event preset threshold, big function
Rate closes event preset threshold, middle power opens event preset threshold, middle power closes event preset threshold, small-power opens event and presets threshold
Value and small-power close event preset threshold;
According to the voltage digital signal and current digital signal extraction signal characteristic after the switch events loaded;And
Classification and Identification and output loading type are carried out to load according to the signal characteristic.
Preferably, wherein described handle the current analog signal and voltage analog signal, current digital is obtained
Signal and voltage digital signal include:
The current analog signal and voltage analog signal are filtered to obtain the voltage-mode by filtering processing
Quasi- signal and current analog signal;And
The voltage analog signal for passing through filtering processing and current analog signal are converted into voltage digital signal and electric current number
Word signal.
Preferably, wherein the function for calculating the two neighboring period according to the current digital signal and voltage digital signal
Rate strength difference, and classification is carried out to load according to the power difference and includes:
The performance number at each sampled point is calculated according to the current digital signal and voltage digital signal;
The mean power in each period is calculated according to the performance number at the sampled point;
The mean power in each period and the mean power in previous period make the difference, and the power for obtaining the two neighboring period is strong
Spend difference;
The power level difference is compared with predetermined power threshold range, is classified to load, wherein power
Strength difference [10w, 80w) correspondence low-power load, power level difference [80w, 400w) correspondence in power termination,
Power level difference is greater than the correspondence high power load of 400w.
Preferably, wherein the current strength difference for calculating two neighboring period, and by the current strength difference with
Preset threshold is compared, and judges whether that the switch events loaded include:
The corresponding current strength difference of high power load is opened into event preset threshold and high-power pass thing with high-power respectively
Part preset threshold is compared, if the current strength difference opens event preset threshold greater than high-power, is loaded
Event is opened, if the current strength difference is less than high-power pass event preset threshold, for the pass event loaded;
The corresponding current strength difference of middle power termination is opened into event preset threshold with middle power respectively and middle power closes thing
Part preset threshold is compared, if the current strength difference is greater than middle power and opens event preset threshold, is loaded
Event is opened, if the current strength difference is less than middle power and closes event preset threshold, for the pass event loaded;And
The corresponding current strength difference of low-power load is opened into event preset threshold with small-power respectively and small-power closes thing
Part preset threshold is compared, if the current strength difference is greater than small-power and opens event preset threshold, is loaded
Event is opened, if the current strength difference is less than small-power and closes event preset threshold, for the pass event loaded.
Preferably, wherein the signal characteristic includes: frequency-region signal feature and time domain signal characteristics, wherein the frequency domain is believed
Number feature includes: frequency domain energy, harmonic wave vector sum harmonic distortion characteristic parameter, and the time domain signal characteristics include: electric current maximum
Value, current average, current root mean square, form factor, crest factor, peak factor, peak-to-peak value and instantaneous power.
Preferably, wherein described carry out Classification and Identification and output loading type to load according to the signal characteristic and include:
According to the signal characteristic, identify simultaneously output loading type to load using support vector machines algorithm.
According to another aspect of the present invention, the load switch detection and identifying system of a kind of adaptive threshold are provided,
The system comprises: signal acquisition unit, signal conversion unit, load taxon, switch events judging unit, signal characteristic
Extraction unit and remained capacity unit,
The signal acquisition unit is acquired the current analog signal and voltage analog signal of subscriber household electricity consumption;
The signal conversion unit handles the current analog signal and voltage analog signal, obtains electric current number
Word signal and voltage digital signal;
The load taxon calculates the two neighboring period according to the current digital signal and voltage digital signal
Power level difference, and classified according to the power difference to load;
The switch events judging unit, calculates the current strength difference in two neighboring period, and by the current strength
Difference is compared with preset threshold, judges whether the switch events loaded, wherein the preset threshold includes: high-power
It opens event preset threshold, high-power pass event preset threshold, middle power and opens event preset threshold, the default threshold of middle power pass event
Value, small-power open event preset threshold and small-power closes event preset threshold;
The signal characteristic abstraction unit, according to the voltage digital signal and current digital after the switch events loaded
Signal extraction signal characteristic;And
The remained capacity unit carries out Classification and Identification and output loading type to load according to the signal characteristic.
Preferably, wherein the signal conversion unit handles the current analog signal and voltage analog signal,
It obtains current digital signal and voltage digital signal includes:
The current analog signal and voltage analog signal are filtered to obtain the voltage-mode by filtering processing
Quasi- signal and current analog signal;And
The voltage analog signal for passing through filtering processing and current analog signal are converted into voltage digital signal and electric current number
Word signal.
Preferably, wherein the load taxon is adjacent according to the current digital signal and voltage digital signal calculating
The power level difference in two periods, and classification is carried out to load according to the power difference and includes:
The performance number at each sampled point is calculated according to the current digital signal and voltage digital signal;
The mean power in each period is calculated according to the performance number at the sampled point;
The mean power in each period and the mean power in previous period make the difference, and the power for obtaining the two neighboring period is strong
Spend difference;And
The power level difference is compared with predetermined power threshold range, is classified to load, wherein power
Strength difference [10w, 80w) correspondence low-power load, power level difference [80w, 400w) correspondence in power termination,
Power level difference is greater than the correspondence high power load of 400w.
Preferably, wherein the switch events judging unit calculates the current strength difference in two neighboring period, and by institute
It states current strength difference to be compared with preset threshold, judges whether that the switch events loaded include:
The corresponding current strength difference of high power load is opened into event preset threshold and high-power pass thing with high-power respectively
Part preset threshold is compared, if the current strength difference opens event preset threshold greater than high-power, is loaded
Event is opened, if the current strength difference is less than high-power pass event preset threshold, for the pass event loaded;
The corresponding current strength difference of middle power termination is opened into event preset threshold with middle power respectively and middle power closes thing
Part preset threshold is compared, if the current strength difference is greater than middle power and opens event preset threshold, is loaded
Event is opened, if the current strength difference is less than middle power and closes event preset threshold, for the pass event loaded;And
The corresponding current strength difference of low-power load is opened into event preset threshold with small-power respectively and small-power closes thing
Part preset threshold is compared, if the current strength difference is greater than small-power and opens event preset threshold, is loaded
Event is opened, if the current strength difference is less than small-power and closes event preset threshold, for the pass event loaded.
Preferably, wherein the signal characteristic includes: frequency-region signal feature and time domain signal characteristics, wherein the frequency domain is believed
Number feature includes: frequency domain energy, harmonic wave vector sum harmonic distortion characteristic parameter, and the time domain signal characteristics include: electric current maximum
Value, current average, current root mean square, form factor, crest factor, peak factor, peak-to-peak value and instantaneous power.
Preferably, wherein the remained capacity unit carries out Classification and Identification to load according to the signal characteristic and exports negative
Carrying type includes: identify simultaneously output loading type to load using support vector machines algorithm according to the signal characteristic.
The beneficial effects of the present invention are:
1. being classified according to different loads power, then examined according to different load classification type settings based on current method
The different threshold values for surveying open and close realize the automatic adjusument based on current method detection, improve and open and close to load
The accuracy rate of event detection.
2. extracting wink after detecting all kinds of loads opening and closing by the load switch condition detection method of adaptive threshold
Feature on state process frequency domain and time domain realizes the identification to load using SVM algorithm, improves the recognition accuracy of load.
Detailed description of the invention
By reference to the following drawings, exemplary embodiments of the present invention can be more fully understood by:
Fig. 1 is the load switch detection and recognition methods 100 according to a kind of adaptive threshold of embodiment of the present invention
Flow chart;
Fig. 2 is the flow chart according to the load classification method 200 of embodiment of the present invention;And
Fig. 3 is according to a kind of load switch detection of adaptive threshold of embodiment of the present invention and identifying system 300
Structural schematic diagram.
Specific embodiment
Exemplary embodiments of the present invention are introduced referring now to the drawings, however, the present invention can use many different shapes
Formula is implemented, and is not limited to the embodiment described herein, and to provide these embodiments be at large and fully disclose
The present invention, and the scope of the present invention is sufficiently conveyed to person of ordinary skill in the field.Show for what is be illustrated in the accompanying drawings
Term in example property embodiment is not limitation of the invention.In the accompanying drawings, identical cells/elements use identical attached
Icon note.
Unless otherwise indicated, term (including scientific and technical terminology) used herein has person of ordinary skill in the field
It is common to understand meaning.Further it will be understood that with the term that usually used dictionary limits, should be understood as and its
The context of related fields has consistent meaning, and is not construed as Utopian or too formal meaning.
Fig. 1 is the load switch detection and recognition methods 100 according to a kind of adaptive threshold of embodiment of the present invention
Flow chart.As shown in Figure 1, non-intrusion type load identification method is applied in intelligent appliance electricity consumption amount control system by the present invention,
Solve the problems, such as that load switch detection and the accuracy of remained capacity be not high.Pass through the voltage in the detection load of load inlet
Signal and current signal simultaneously calculate power;The mean power of power cycle and the power level difference of adjacent periods are found out, and
Classify to load according to the size of the power level difference difference, then not for different types of load setting
Same threshold value, realizes the automatic adjusument of current method load detecting, greatly improves and opens and closes event detection to load
Accuracy rate, then extract the feature opened and closed in transient process frequency domain and time domain, the knowledge loaded using SVM algorithm
Not, the recognition accuracy of load is improved.The load switch detection and recognition methods 100 of embodiment of the present invention are from step 101
Place starts, and is acquired in current analog signal and voltage analog signal of the step 101 to subscriber household electricity consumption.
Preferably, the current analog signal and voltage analog signal are handled in step 102, obtains current digital
Signal and voltage digital signal.Preferably, it wherein described handle the current analog signal and voltage analog signal, obtains
Obtaining current digital signal and voltage digital signal include: to be filtered place to the current analog signal and voltage analog signal
Reason, to remove the noise in signal, obtains the voltage analog signal and current analog signal by filtering processing;And it will pass through
The voltage analog signal and current analog signal of filtering processing are converted to voltage digital signal and current digital signal.
Preferably, the two neighboring period is calculated according to the current digital signal and voltage digital signal in step 103
Power level difference, and classified according to the power difference to load.Fig. 2 is according to the load of embodiment of the present invention point
The flow chart of class method 200.As shown in Fig. 2, the load classification method is since step 201 place, in step 201 according to described
Current digital signal and voltage digital signal calculate the performance number at each sampled point.
Preferably, the mean power in each period is calculated according to the performance number at the sampled point in step 202.
Preferably, it makes the difference, obtains adjacent in the mean power in step 203 each period and the mean power in previous period
The power level difference in two periods.
Preferably, the power level difference is compared with predetermined power threshold range in step 204, to load into
Row classification, wherein power level difference [10w, 80w) correspondence low-power load, power level difference [80w, 400w)
Power termination in correspondence, power level difference are greater than the correspondence high power load of 400w.In embodiments of the present invention, it utilizes
Voltage digital signal is multiplied with current digital signal, calculates the performance number of each sampled point, then to the power in each period
Mean power is found out, the mean power for allowing each period to subtract its previous period will be averaged as average power difference value
Load of the power difference between 10w-80w is classified as low-power load, and load of the average power difference value between 80w-400w is returned
For mid power load, average power difference value is classified as high power load in the load greater than 400w.
Preferably, calculate the current strength difference in two neighboring period in step 104, and by the current strength difference with
Preset threshold is compared, and judges whether the switch events loaded, wherein the preset threshold includes: high-power to open event
Preset threshold, high-power pass event preset threshold, middle power open event preset threshold, middle power closes event preset threshold, small function
Rate opens event preset threshold and small-power closes event preset threshold.Preferably, wherein the electric current for calculating the two neighboring period
Strength difference, and the current strength difference is compared with preset threshold, judge whether the switch events packet loaded
It includes:
The corresponding current strength difference of high power load is opened into event preset threshold and high-power pass thing with high-power respectively
Part preset threshold is compared, if the current strength difference opens event preset threshold greater than high-power, is loaded
Event is opened, if the current strength difference is less than high-power pass event preset threshold, for the pass event loaded;
The corresponding current strength difference of middle power termination is opened into event preset threshold with middle power respectively and middle power closes thing
Part preset threshold is compared, if the current strength difference is greater than middle power and opens event preset threshold, is loaded
Event is opened, if the current strength difference is less than middle power and closes event preset threshold, for the pass event loaded;And
The corresponding current strength difference of low-power load is opened into event preset threshold with small-power respectively and small-power closes thing
Part preset threshold is compared, if the current strength difference is greater than small-power and opens event preset threshold, is loaded
Event is opened, if the current strength difference is less than small-power and closes event preset threshold, for the pass event loaded.In this hair
In bright embodiment, the high-power event thresholds of opening of switch events is judged for 17, if the electricity for high power load setting
Intensity of flow difference is greater than 17, then it is assumed that has high power load unlatching;The big function of switch events is judged for high power load setting
It is -17 that rate, which closes event threshold, if the current strength difference is less than -17, then it is assumed that there is high power load closing.
The middle power of switch events, which opens event threshold for 1, if the current strength, to be judged for mid power load setting
Difference is greater than 1, then it is assumed that has middle power termination to open;The middle power of switch events, which closes thing, to be judged for mid power load setting
Part threshold value is -1, if the current strength difference is less than -1, then it is assumed that there is middle power termination to close.
The small-power of switch events, which opens event threshold for 0.07, if the current strength, to be judged for low-power load setting
Difference is greater than 0.07, then it is assumed that has low-power load unlatching;The small-power of switch events, which is closed, to be judged for low-power load setting
Event threshold is -0.07, if the current strength difference is less than -0.07, then it is assumed that there is low-power load closing.
Preferably, in step 105 according to the voltage digital signal and current digital signal after the switch events loaded
Extract signal characteristic.Preferably, wherein the signal characteristic includes: frequency-region signal feature and time domain signal characteristics, wherein described
Frequency-region signal feature includes: frequency domain energy, harmonic wave vector sum harmonic distortion characteristic parameter, and the time domain signal characteristics include: electricity
Flow maximum value, current average, current root mean square, form factor, crest factor, peak factor, peak-to-peak value and instantaneous power.
Preferably, Classification and Identification and output loading type are carried out to load according to the signal characteristic in step 106.It is preferred that
Ground, wherein described, according to the signal characteristic, to load progress Classification and Identification, simultaneously output loading type includes: according to the signal
Feature identify simultaneously output loading type to load using support vector machines algorithm.In embodiments of the present invention,
The database that signal characteristic is established on all kinds of load frequency domains and time domain extracted in advance is as sample set, wherein the frequency-region signal
Feature includes: frequency domain energy, harmonic wave vector sum harmonic distortion characteristic parameter, the time domain signal characteristics include: current maxima,
Current average, current root mean square, form factor, crest factor, peak factor, peak-to-peak value and instantaneous power, then will be current
The signal characteristic that the transient process that intercepts when the event of detecting opens or closes is extracted is as test set, and by the test set number
Remained capacity is carried out according to being input in LibSvm, when load matched degree is higher than 90%, is considered as load and classifies successfully and export negative
Carry type.
Fig. 3 is according to a kind of load switch detection of adaptive threshold of embodiment of the present invention and identifying system 300
Structural schematic diagram.As shown in figure 3, the load switch detection and identifying system 300 include: signal acquisition unit 301, signal turn
Change unit 302, load taxon 303, switch events judging unit 304, signal characteristic abstraction unit 305 and remained capacity list
Member 306.
Preferably, believe in current analog signal and voltage analog of the signal acquisition unit 301 to subscriber household electricity consumption
It number is acquired.
Preferably, the current analog signal and voltage analog signal are handled in the signal conversion unit 302,
Obtain current digital signal and voltage digital signal.Preferably, wherein in the signal conversion unit 302 to the current analog
Signal and voltage analog signal are handled, and obtain current digital signal and voltage digital signal includes: to the current analog
Signal and voltage analog signal are filtered to obtain the voltage analog signal and current analog signal by filtering processing;With
And the voltage analog signal for passing through filtering processing and current analog signal are converted into voltage digital signal and current digital signal.
Preferably, phase is calculated according to the current digital signal and voltage digital signal in the load taxon 303
The power level difference in adjacent two periods, and classified according to the power difference to load.Preferably, wherein described negative
It is poor to carry the power level that taxon 303 calculates the two neighboring period according to the current digital signal and voltage digital signal
Value, and classification is carried out to load according to the power difference and includes:
The performance number at each sampled point is calculated according to the current digital signal and voltage digital signal;
The mean power in each period is calculated according to the performance number at the sampled point;
The mean power in each period and the mean power in previous period make the difference, and the power for obtaining the two neighboring period is strong
Spend difference;And
The power level difference is compared with predetermined power threshold range, is classified to load, wherein power
Strength difference [10w, 80w) correspondence low-power load, power level difference [80w, 400w) correspondence in power termination,
Power level difference is greater than the correspondence high power load of 400w.
Preferably, the current strength difference in two neighboring period is calculated in the switch events judging unit 304, and by institute
It states current strength difference to be compared with preset threshold, judges whether the switch events loaded, wherein the preset threshold
It include: that high-power event preset threshold, high-power pass event preset threshold, the middle power opened opens event preset threshold, middle power pass
Event preset threshold, small-power open event preset threshold and small-power closes event preset threshold.Preferably, wherein in the switch
Event judging unit 304 calculates the current strength difference in two neighboring period, and by the current strength difference and preset threshold
It is compared, judges whether that the switch events loaded include:
The corresponding current strength difference of high power load is opened into event preset threshold and high-power pass thing with high-power respectively
Part preset threshold is compared, if the current strength difference opens event preset threshold greater than high-power, is loaded
Event is opened, if the current strength difference is less than high-power pass event preset threshold, for the pass event loaded;
The corresponding current strength difference of middle power termination is opened into event preset threshold with middle power respectively and middle power closes thing
Part preset threshold is compared, if the current strength difference is greater than middle power and opens event preset threshold, is loaded
Event is opened, if the current strength difference is less than middle power and closes event preset threshold, for the pass event loaded;And
The corresponding current strength difference of low-power load is opened into event preset threshold with small-power respectively and small-power closes thing
Part preset threshold is compared, if the current strength difference is greater than small-power and opens event preset threshold, is loaded
Event is opened, if the current strength difference is less than small-power and closes event preset threshold, for the pass event loaded.
Preferably, believed in the signal characteristic abstraction unit 305 according to the voltage digital after the switch events loaded
Number and current digital signal extract signal characteristic.Preferably, wherein the signal characteristic includes: frequency-region signal feature and time domain letter
Number feature, wherein the frequency-region signal feature includes: frequency domain energy, harmonic wave vector sum harmonic distortion characteristic parameter, the time domain
Signal characteristic includes: current maxima, current average, current root mean square, form factor, crest factor, peak factor, peak-
Peak value and instantaneous power.
Preferably, Classification and Identification is carried out to load according to the signal characteristic in the remained capacity unit 306 and exported
Loadtype.Preferably, wherein the remained capacity unit carries out Classification and Identification to load according to the signal characteristic and exports
Loadtype includes: identify simultaneously output loading class to load using support vector machines algorithm according to the signal characteristic
Type.
A kind of load switch of the adaptive threshold of the embodiment of the present invention detect and identifying system 300 with it is of the invention another
The load switch detection and recognition methods 100 of a kind of adaptive threshold of one embodiment are corresponding, and details are not described herein.
The present invention is described by reference to a small amount of embodiment.However, it is known in those skilled in the art, as
Defined by subsidiary Patent right requirement, in addition to the present invention other embodiments disclosed above equally fall in it is of the invention
In range.
Normally, all terms used in the claims are all solved according to them in the common meaning of technical field
It releases, unless in addition clearly being defined wherein.All references " one/described/be somebody's turn to do [device, component etc.] " are all opened ground
At least one example being construed in described device, component etc., unless otherwise expressly specified.Any method disclosed herein
Step need not all be run with disclosed accurate sequence, unless explicitly stated otherwise.
Claims (12)
1. a kind of load switch of adaptive threshold detects and recognition methods, which is characterized in that the described method includes:
The current analog signal and voltage analog signal of subscriber household electricity consumption are acquired;
The current analog signal and voltage analog signal are handled, current digital signal and voltage digital signal are obtained;
The power level difference in two neighboring period is calculated according to the current digital signal and voltage digital signal, and according to institute
Power level difference is stated to classify to load;
The current strength difference in two neighboring period is calculated, and the current strength difference is compared with preset threshold, is sentenced
The disconnected switch events whether loaded, wherein the preset threshold includes: high-power to open event preset threshold, high-power pass thing
Part preset threshold, middle power open event preset threshold, middle power closes event preset threshold, small-power opens event preset threshold and small
Power closes event preset threshold;
According to the voltage digital signal and current digital signal extraction signal characteristic after the switch events loaded;And
Classification and Identification and output loading type are carried out to load according to the signal characteristic.
2. the method according to claim 1, wherein described to the current analog signal and voltage analog signal
It is handled, obtains current digital signal and voltage digital signal includes:
It is filtered to obtain the letter of the voltage analog by filtering processing to the current analog signal and voltage analog signal
Number and current analog signal;And
The voltage analog signal for passing through filtering processing and current analog signal are converted into voltage digital signal and current digital letter
Number.
3. the method according to claim 1, wherein described believe according to the current digital signal and voltage digital
Number the power level difference in two neighboring period is calculated, and classification is carried out to load according to the power level difference and includes:
The performance number at each sampled point is calculated according to the current digital signal and voltage digital signal;
The mean power in each period is calculated according to the performance number at the sampled point;
The mean power in each period and the mean power in previous period make the difference, and the power level for obtaining the two neighboring period is poor
Value;
The power level difference is compared with predetermined power threshold range, is classified to load, wherein power level
Difference [10w, 80w) correspondence low-power load, power level difference [80w, 400w) correspondence in power termination, power
Strength difference is greater than the correspondence high power load of 400w.
4. the method according to claim 1, wherein the current strength difference for calculating two neighboring period,
And be compared the current strength difference with preset threshold, judge whether that the switch events loaded include:
The corresponding current strength difference of high power load is opened into event preset threshold and high-power pass event is pre- with high-power respectively
If threshold value is compared, if the current strength difference opens event preset threshold greater than high-power, thing is opened for what is loaded
Part, if the current strength difference is less than high-power pass event preset threshold, for the pass event loaded;
The corresponding current strength difference of middle power termination is opened into event preset threshold with middle power respectively and middle power pass event is pre-
If threshold value is compared, if the current strength difference is greater than middle power and opens event preset threshold, thing is opened for what is loaded
Part, if the current strength difference is less than middle power and closes event preset threshold, for the pass event loaded;And
The corresponding current strength difference of low-power load is opened into event preset threshold with small-power respectively and small-power pass event is pre-
If threshold value is compared, if the current strength difference is greater than small-power and opens event preset threshold, thing is opened for what is loaded
Part, if the current strength difference is less than small-power and closes event preset threshold, for the pass event loaded.
5. the method according to claim 1, wherein the signal characteristic includes: frequency-region signal feature and time domain
Signal characteristic, wherein the frequency-region signal feature includes: frequency domain energy, harmonic wave vector sum harmonic distortion characteristic parameter, when described
Domain signal characteristic include: current maxima, current average, current root mean square, form factor, crest factor, peak factor,
Peak-to-peak value and instantaneous power.
6. the method according to claim 1, wherein described carry out classification knowledge to load according to the signal characteristic
Not and output loading type include: according to the signal characteristic, using support vector machines algorithm to load carry out identification and it is defeated
Loadtype out.
7. a kind of load switch of adaptive threshold detects and identifying system, which is characterized in that the system comprises: signal acquisition
Unit, signal conversion unit, load taxon, switch events judging unit, signal characteristic abstraction unit and remained capacity list
Member,
The signal acquisition unit is acquired the current analog signal and voltage analog signal of subscriber household electricity consumption;
The signal conversion unit handles the current analog signal and voltage analog signal, obtains current digital letter
Number and voltage digital signal;
The load taxon, the power in two neighboring period is calculated according to the current digital signal and voltage digital signal
Strength difference, and classified according to the power level difference to load;
The switch events judging unit, calculates the current strength difference in two neighboring period, and by the current strength difference
It is compared with preset threshold, judges whether the switch events loaded, wherein the preset threshold includes: high-power to open thing
Part preset threshold, high-power pass event preset threshold, middle power open event preset threshold, middle power closes event preset threshold, small
Power opens event preset threshold and small-power closes event preset threshold;
The signal characteristic abstraction unit, according to the voltage digital signal and current digital signal after the switch events loaded
Extract signal characteristic;And
The remained capacity unit carries out Classification and Identification and output loading type to load according to the signal characteristic.
8. system according to claim 7, which is characterized in that the signal conversion unit to the current analog signal and
Voltage analog signal is handled, and obtains current digital signal and voltage digital signal includes:
It is filtered to obtain the letter of the voltage analog by filtering processing to the current analog signal and voltage analog signal
Number and current analog signal;And
The voltage analog signal for passing through filtering processing and current analog signal are converted into voltage digital signal and current digital letter
Number.
9. system according to claim 7, which is characterized in that the load taxon is according to the current digital signal
The power level difference in two neighboring period is calculated with voltage digital signal, and load is carried out according to the power level difference
Classification includes:
The performance number at each sampled point is calculated according to the current digital signal and voltage digital signal;
The mean power in each period is calculated according to the performance number at the sampled point;
The mean power in each period and the mean power in previous period make the difference, and the power level for obtaining the two neighboring period is poor
Value;And
The power level difference is compared with predetermined power threshold range, is classified to load, wherein power level
Difference [10w, 80w) correspondence low-power load, power level difference [80w, 400w) correspondence in power termination, power
Strength difference is greater than the correspondence high power load of 400w.
10. system according to claim 7, which is characterized in that the switch events judging unit calculates two neighboring week
The current strength difference of phase, and the current strength difference is compared with preset threshold, judge whether to load opens
Pass event includes:
The corresponding current strength difference of high power load is opened into event preset threshold and high-power pass event is pre- with high-power respectively
If threshold value is compared, if the current strength difference opens event preset threshold greater than high-power, thing is opened for what is loaded
Part, if the current strength difference is less than high-power pass event preset threshold, for the pass event loaded;
The corresponding current strength difference of middle power termination is opened into event preset threshold with middle power respectively and middle power pass event is pre-
If threshold value is compared, if the current strength difference is greater than middle power and opens event preset threshold, thing is opened for what is loaded
Part, if the current strength difference is less than middle power and closes event preset threshold, for the pass event loaded;And
The corresponding current strength difference of low-power load is opened into event preset threshold with small-power respectively and small-power pass event is pre-
If threshold value is compared, if the current strength difference is greater than small-power and opens event preset threshold, thing is opened for what is loaded
Part, if the current strength difference is less than small-power and closes event preset threshold, for the pass event loaded.
11. system according to claim 7, which is characterized in that the signal characteristic includes: frequency-region signal feature and time domain
Signal characteristic, wherein the frequency-region signal feature includes: frequency domain energy, harmonic wave vector sum harmonic distortion characteristic parameter, when described
Domain signal characteristic include: current maxima, current average, current root mean square, form factor, crest factor, peak factor,
Peak-to-peak value and instantaneous power.
12. system according to claim 7, which is characterized in that the remained capacity unit is according to the signal characteristic pair
Load carries out Classification and Identification and output loading type includes: using support vector machines algorithm according to the signal characteristic to negative
It is loaded into row identification and output loading type.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710127964.6A CN106802379B (en) | 2017-03-06 | 2017-03-06 | The load switch detection and recognition methods of a kind of adaptive threshold and system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710127964.6A CN106802379B (en) | 2017-03-06 | 2017-03-06 | The load switch detection and recognition methods of a kind of adaptive threshold and system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106802379A CN106802379A (en) | 2017-06-06 |
CN106802379B true CN106802379B (en) | 2019-07-09 |
Family
ID=58987830
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710127964.6A Active CN106802379B (en) | 2017-03-06 | 2017-03-06 | The load switch detection and recognition methods of a kind of adaptive threshold and system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106802379B (en) |
Families Citing this family (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107478926B (en) * | 2017-07-14 | 2020-10-09 | 宁波三星医疗电气股份有限公司 | Power utilization monitoring device and method |
CN108181533B (en) * | 2018-01-18 | 2020-02-04 | 中国海洋大学 | Non-invasive power load intelligent detection and hierarchical classification method |
CN108459222A (en) * | 2018-03-22 | 2018-08-28 | 中国海洋大学 | A kind of electric appliance fault detection method and system |
CN108872666B (en) * | 2018-09-20 | 2020-06-26 | 广东石油化工学院 | Load switch event detection method and system |
CN110196354B (en) * | 2019-04-23 | 2021-09-17 | 广东石油化工学院 | Method and device for detecting switching event of load |
CN110751385B (en) * | 2019-10-08 | 2023-05-05 | 威胜集团有限公司 | Non-invasive load identification method, terminal device and storage medium |
CN113131608A (en) * | 2019-12-30 | 2021-07-16 | 华为数字技术(苏州)有限公司 | Method, device and power distribution system for managing power distribution system |
CN112034245B (en) * | 2020-11-03 | 2021-03-23 | 天津滨电电力工程有限公司 | Household washing machine identification method for embedded terminal |
CN112611931A (en) * | 2020-12-23 | 2021-04-06 | 南方电网电力科技股份有限公司 | Method, system and storage medium for identifying and processing malignant load based on discrete waveform |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB2472251B8 (en) * | 2009-07-30 | 2013-02-20 | Intelligent Sustainable Energy Ltd | Identifying the operation of a specified type of appliance |
CN204101613U (en) * | 2014-10-20 | 2015-01-14 | 中国长江电力股份有限公司 | A kind of non-contact switch amount condition checkout gear |
CN105823948A (en) * | 2016-05-18 | 2016-08-03 | 国网上海市电力公司 | Non-invasive resident load identification method |
CN106124850A (en) * | 2016-07-20 | 2016-11-16 | 国网江西省电力公司南昌供电分公司 | A kind of load identification system for domestic intelligent electricity meter based on similarity algorithm and load recognition methods thereof |
-
2017
- 2017-03-06 CN CN201710127964.6A patent/CN106802379B/en active Active
Also Published As
Publication number | Publication date |
---|---|
CN106802379A (en) | 2017-06-06 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106802379B (en) | The load switch detection and recognition methods of a kind of adaptive threshold and system | |
CN110514889A (en) | A kind of method and system of non-intrusion type household electricity remained capacity | |
CN110504679B (en) | KM matching algorithm-based non-invasive load identification method | |
Jin et al. | Robust adaptive event detection in non-intrusive load monitoring for energy aware smart facilities | |
CN110488112A (en) | Classification metering method non-intrusion type load identification and its realized based on recognition result | |
CN106483370A (en) | Non-intrusion type household loads real-time identification method based on multi-feature fusion and device | |
CN111830347B (en) | Two-stage non-invasive load monitoring method based on event | |
CN110956220A (en) | Non-invasive household appliance load identification method | |
CN113567794B (en) | Electric bicycle indoor charging identification method and system based on dynamic time warping | |
CN106093565B (en) | A kind of electricity subentry measurement method and device based on steady state characteristic Waveform Matching | |
CN111027408A (en) | Load identification method based on support vector machine and V-I curve characteristics | |
CN106908671A (en) | A kind of non-intrusion type household loads intelligent detecting method and system | |
CN108181533A (en) | A kind of electric load intelligent measurement of non-intrusion type and hierarchical classification method | |
Bilski et al. | The rule-based method for the non-intrusive electrical appliances identification | |
CN112909923A (en) | Non-invasive household load behavior recognition device based on DTW algorithm | |
CN110135452A (en) | Violation electrical appliance recognition and system based on intelligent electric meter | |
CN104778348A (en) | Voltage sag action characteristic modeling method for low-voltage trip | |
CN109377052B (en) | Power load matching method, device, equipment and readable storage medium | |
CN115112989B (en) | Non-invasive load monitoring method based on low-frequency data | |
Zhibin et al. | Research on household appliances recognition method based on data screening of deep learning | |
CN109241874B (en) | Power signal filtering method in energy decomposition | |
CN108594035B (en) | Load detection method and system | |
Li et al. | A training-free non-intrusive load monitoring approach for high-frequency measurements based on graph signal processing | |
CN205901261U (en) | Circuit breaker control device | |
CN114709926A (en) | Non-invasive load identification method fused with transient and steady state characteristics |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |