CN108572292A - Non-invasive load identification method for microwave oven - Google Patents
Non-invasive load identification method for microwave oven Download PDFInfo
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- CN108572292A CN108572292A CN201810260063.9A CN201810260063A CN108572292A CN 108572292 A CN108572292 A CN 108572292A CN 201810260063 A CN201810260063 A CN 201810260063A CN 108572292 A CN108572292 A CN 108572292A
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- 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
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- G—PHYSICS
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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Abstract
The invention discloses a non-invasive coincidence identification method for a microwave oven, which comprises the following steps: sampling voltage and current signals of a main power supply inlet wire to form a voltage signal sampling sequence u (k) and a current signal sampling sequence i (k); calculating a real-time average active power sequence P (i) and an average reactive power sequence Q (i); calculating active power variation delta P (i) and reactive power variation delta Q (i); detecting the power variation quantity delta P (i) and delta Q (i) to judge the operation of the microwave oven and calculating the approximate rated power of the microwave oven. The method solves the problems that the load of discontinuous operation in the existing household appliance is more, the steady-state characteristic of the microwave oven is similar to that of other appliances and the like, can accurately sense the operation of the microwave oven, and provides technical support for realizing non-invasive identification of the microwave oven.
Description
Technical field
The present invention relates to intelligent power grid technology field, more particularly to a kind of micro-wave oven non-intruding load discrimination method.
Background technology
Following characteristics are presented in China's residential electricity consumption at present：First, speedup is high, and resident accounts for the ratio of newly-increased electricity consumption within 2016
Up to 38%；Second, behavior is complicated, and since individual is numerous, while household electrical appliance type is various, and the electricity consumption behavior of resident is non-
It is often complicated；Third, comprehensive energy consumption is high, and the comprehensive energy consumption of resident is horizontal far above developed countries such as Japan.
Residential power load monitoring decomposition technique is an emerging intelligent grid base support technology, with current intelligence electricity
Table only measures that user general power is different, it is to monitor and decomposite startup time of all electric appliances in household, working condition, energy
Consumption situation is target, to realize relatively reliable, accurate electric flux management.Electric load monitoring decomposition technique makes the electricity of user
Take inventory as telephone charge inventory, the electricity consumption of all kinds of household electrical appliance is very clear, understands oneself in time thereby using family
Electricity consumption situation provides reference for the electricity consumption time and corresponding electricity consumption of each electric appliance of reasonable distribution, can finally effectively reduce
Electric cost expenditure and waste of energy.Google statistical data is shown, if domestic consumer can understand the detailed of house electric apparatus in time
Power information can make monthly electricity charge spending decline 5%~15%.By taking the U.S. as an example, if the state-owned half family in the whole America is each
Save so more spendings the moon, the carbon emission amount of reduction is equivalent to the use for reducing by 8,000,000 automobiles.
Currently, residential power load monitoring decomposition technique, which is broadly divided into intrusive monitoring, decomposes (Intrusive Load
Monitoring and decomposition, ILMD) and non-intruding monitor decomposition (Non-intrusive Load
Monitoring and decomposition, NILMD) two major classes：
(1) intrusive load monitoring decomposition technique (ILMD)：Intrusive load monitoring is by the biography with digital communication functions
Sensor is mounted on the interface of each electric appliance and power grid, can be with the operating status and power consumption of each load of accurate measurements.But it is big
Amount installation monitoring sensor causes the cost built and safeguarded higher, it is most important that intrusive load monitoring needs to enter resident
Installation and debugging are carried out in family, user is be easy to cause and resists psychology.
(2) non-intrusion type load monitoring decomposition technique (NILMD)：One sensor is installed only at user entry, is passed through
The information such as entrance total current, voltage are acquired and analyzed to judge electric powers and working condition indoor each or per electric appliances
(for example, air-conditioning has the different working conditions such as refrigeration, heating, standby), to obtain the electricity consumption rule of resident.It is negative with intrusive mood
Lotus decomposes and compares, due to only needing to install a monitoring sensor, the construction cost of non-intruding load decomposition scheme and later stage dimension
Shield difficulty is all greatly reduced；In addition, sensor mounting location can select at electric supply meter case, household will not be invaded completely
Inside construct.It is believed that NILMD replaces the sensor network of ILMD systems with decomposition algorithm, have it is simple, economical, can
It leans on, the advantages such as data are complete and are easy to promote and apply rapidly, is expected to develop into advanced measurement system (AMI) core of new generation
Technology (after ripe, NILMD algorithms can also be fused in the chip of intelligent electric meter), supports demand side management, custom power etc.
The Premium Features of intelligent power are also applied for the provisional monitoring of load electricity consumption details and investigation.
Micro-wave oven is the cooking apparatus for absorbing microwave energy in microwave field using food and making conducting self-heating.In micro-wave oven
The microwave that microwave generator generates sets up microwave electric field in microwave cavity, and takes certain measure that this microwave electric field is made to exist
It is evenly distributed as much as possible in furnace chamber, food is put into the microwave electric field, its cooking time and microwave electric field are controlled by control centre
Intensity, to carry out various cooking process.The power bracket of micro-wave oven is generally 800~1500 watts.But current NILMD skills
The research of art also rests on theoretical research stage, the key technologies such as decomposition discrimination method of intermitten service load especially micro-wave oven
It need to be broken through.
Invention content
Technical problem to be solved by the present invention lies in provide a kind of micro-wave oven non-intruding load discrimination method, Neng Gouzhun
The really operation of perception micro-wave oven.
In order to solve the above technical problem, the present invention provides a kind of micro-wave oven non-intruding load discrimination method, including it is following
Step：
Step S1 samples the voltage and current signals at power supply total input-wire, shape within the scope of certain sample frequency
At voltage signal sampling sequence and current signal sample sequence；
Step S2 is being calculated in time window, and the voltage signal sampling sequence and current signal that scanning collection arrives sample sequence
Row, calculate real-time average active power sequence and real-time average reactive power sequence；
Step S3 scans real-time average active power sequence and real-time average reactive power sequence in certain time window
Row calculate active power variable quantity and reactive power variable quantity；
Step S4 detects active power change sequence and reactive power change sequence in k-th of time window, if active
Changed power sequence is in first threshold range, while reactive power change sequence is in second threshold range, then records at this time
Moment was the first moment, and recorded the first changing value of active power and the first changing value of reactive power, otherwise return to step
S2；
Step S5, if active power change sequence is more than third threshold value, while reactive power change sequence is less than the 4th threshold
Value, then it was the second moment to record the moment at this time, and recorded the second changing value of active power and the second changing value of reactive power
For otherwise return to step S2；
Step S6 calculates the interval duration at the second moment and the first moment, if the interval duration is in the 5th threshold value model
It encloses, then judges running of microwave oven, otherwise return to step S2.
Wherein, ranging from 0.5kHz~2kHz of sample frequency.
Wherein, be respectively adopted in the step S1 voltage sensor and current sensor at power supply total input-wire voltage and
Current signal is sampled.
Wherein, in the step S2, real-time average active power sequence P (i) and real-time average reactive power sequence Q (i)
Calculation formula be respectively：
Wherein, m is the number for calculating power frequency period contained by time window, and j is sampling point number, and n is a power frequency period
Including sampled point number, n=1000 × (f/50).
Wherein, the time span of time window is n × T in the step S3, and T is power frequency period.
Wherein, in the step S3, the calculation formula of active power variation delta P (i) is：Δ P (i)=Δ P (i+1)-
The calculation formula of Δ P (i), reactive power variation delta Q (i) are Δ Q (i)=Δ Q (i+1)-Δ Q (i), and wherein i is natural number.
Wherein, in the step S4, active power change sequence is denoted as Δ P (k), and reactive power change sequence is denoted as Δ Q
(k), first threshold ranging from (100,300), second threshold ranging from (700,1000), if meeting 100<ΔP(k)<300 and
700<ΔQ(k)<1000, then judge that the power first stage is lifted, it is the first moment T to record this moment1, and record active power
The first changing value be Δ P (1), the first changing value of reactive power is Δ Q (1), otherwise return to step S2.
Wherein, in the step S5, third threshold value is set as 1000, and the 4th threshold value is set as -400, detection active power variation
Whether amount Δ P (i) and reactive power variation delta Q (i) meet Δ P (k)>1000 and Δ Q (k)<- 400, it is recorded if being satisfied by
It is engraved at this time as the second moment T2, the second changing value of active power is denoted as Δ P (2), and the second changing value of reactive power is denoted as
Δ Q (2), otherwise return to step S2.
Wherein, in the step S6, the second moment T2With the first moment T1Interval duration be denoted as Δ T (m), Δ T (m)=
T2-T1, the 5th threshold range is set as (1s, 3s), if meeting 1s<ΔT(m)<3s then judges running of microwave oven, otherwise returns to step
Rapid S2.
Wherein, the discrimination method further includes：Calculate the approximate rated power of micro-wave oven.
The advantageous effect of the embodiment of the present invention is：The present invention proposes a kind of microwave based on power phase variation characteristic
Stove runs non-intruding discrimination method, and this method is analyzed compared to single active power, and having fully considered has when micro-wave oven starts
The characteristics of two sections of work(power, reactive power variations, so as to accurately distinguish micro-wave oven and perceptual appliance working, increase microwave
The accuracy of stove non-intruding identification.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
Obtain other attached drawings according to these attached drawings.
Fig. 1 is a kind of flow diagram of micro-wave oven non-intruding load discrimination method of the embodiment of the present invention.
Fig. 2 is a kind of idiographic flow schematic diagram of micro-wave oven non-intruding load discrimination method of the embodiment of the present invention.
Fig. 3 is the result of calculation figure of real-time average active power in the embodiment of the present invention.
Fig. 4 is the result of calculation figure of real-time average reactive power in the embodiment of the present invention.
Specific implementation mode
The explanation of following embodiment is refer to the attached drawing, can be to the specific embodiment implemented to the example present invention.
It please refers to shown in Fig. 1, the embodiment of the present invention provides a kind of micro-wave oven non-intruding load discrimination method, including following step
Suddenly：
Step S1 samples the voltage and current signals at power supply total input-wire, shape within the scope of certain sample frequency
At voltage signal sampling sequence and current signal sample sequence；
Step S2 is being calculated in time window, and the voltage signal sampling sequence and current signal that scanning collection arrives sample sequence
Row, calculate real-time average active power sequence and real-time average reactive power sequence；
Step S3 scans real-time average active power sequence and real-time average reactive power sequence in certain time window
Row calculate active power variable quantity and reactive power variable quantity；
Step S4 detects active power change sequence and reactive power change sequence in k-th of time window, if active
Changed power sequence is in first threshold range, while reactive power change sequence is in second threshold range, then records at this time
Moment was the first moment, and recorded the first changing value of active power and the first changing value of reactive power, otherwise return to step
S2；
Step S5, if active power change sequence is more than third threshold value, while reactive power change sequence is less than the 4th threshold
Value, then it was the second moment to record the moment at this time, and recorded the second changing value of active power and the second changing value of reactive power
For otherwise return to step S2；
Step S6 calculates the interval duration at the second moment and the first moment, if the interval duration is in the 5th threshold value model
It encloses, then judges running of microwave oven, otherwise return to step S2.
Specifically, it is further illustrated below in conjunction with Fig. 2.
In step S1, sample frequency ranging from f=0.5kHz~2kHz.Voltage signal sampling sequence is denoted as u (j), electric current
Signal sample sequence is denoted as i (j), and j is sampling point number.Specifically, voltage sensor and current sensor is respectively adopted to electricity
Voltage and current signals at the total input-wire of source are sampled.
In step S2, the calculation formula of real-time average active power sequence P (i) and real-time average reactive power sequence Q (i)
Respectively：
Wherein, m is the number for calculating power frequency period contained by time window, and it is sampling point number to take m=5, j, and n is a work
The sampled point number that the frequency period includes, n=1000 × (f/50).
In step S3, the calculation formula of active power variation delta P (i) is：Δ P (i)=Δ P (i+1)-Δ P (i), nothing
The calculation formula of work(power variation Δ Q (i) is Δ Q (i)=Δ Q (i+1)-Δ Q (i), and wherein i is natural number.In step S3
The time span of time window is n × T, and T is power frequency period.
As shown in figure 3, power is changing always micro-wave oven during operation, active power and reactive power intermittently occur
Spline smoothing process twice, first time active power have been lifted 220W, and second of active power has been lifted 1020W；And idle work(
Rate has been lifted 800Var or so in the first stage, has dropped 500Var or so in second stage, is acquired according to above-mentioned calculation formula
The value of Δ P (i) and Δ Q (i).
In step S4, active power change sequence is denoted as Δ P (k), and reactive power change sequence is denoted as Δ Q (k), the first threshold
It is worth ranging from (100,300), second threshold ranging from (700,1000), if meeting 100<ΔP(k)<300 and 700<ΔQ(k)<
1000, then judge that the power first stage is lifted, it is the first moment T to record this moment1, and record the first changing value of active power
The first changing value for Δ P (1), reactive power is Δ Q (1), otherwise goes to step S2.
As shown in Figure 3 and Figure 4, for micro-wave oven during startup, active power has been lifted 220W (Δ P in step rising time
(1)), in the same time reactive power be lifted 800Var (<Δ Q (1)), respectively it is in first threshold range and second threshold range
It is interior, that is, meet 100<220<300 and 700<800<1000, therefore can be determined that and be lifted for the power first stage, it is engraved when by lifting
For T1, Δ P (1)=220W, Δ Q (1)=800Var.
In step S5, third threshold value is set as 1000, and the 4th threshold value is set as -400, detection power variation Δ P (i) and Δ Q
(i) whether meet Δ P (k)>1000 and Δ Q (k)<- 400, it records and engraves at this time as the second moment T if being satisfied by2, wattful power
Second changing value of rate is denoted as Δ P (2), and the second changing value of reactive power is denoted as Δ Q (2), otherwise return to step (2).
As shown in Figures 2 and 3, T2The active power at moment has been lifted 1020W for the second time, and reactive power declines in the same time
500Var, then the second changing value Δ P (2)=1020W of active power, the second changing value Δ Q (2) of reactive power=-
500Var。
In step S6, the interval duration at the second moment and the first moment is the interval duration of changed power twice, is denoted as Δ T
(m), Δ T (m)=T2-T1.5th threshold range is set as (1s, 3s), if meeting 1s<ΔT(m)<3s then judges that micro-wave oven is transported
It goes, otherwise return to step S2.
As shown in Figures 2 and 3, Δ T (m)=T2-T1, twice changed power interval duration Δ T (m) meet 1s<ΔT(m)<
3s then may determine that as running of microwave oven, the approximate rated power P of micro-wave oven can also be calculateds。
By above description it is found that the advantageous effect of the embodiment of the present invention is, the present invention proposes a kind of based on power
The running of microwave oven non-intruding discrimination method of phase change characteristic, this method are analyzed compared to single active power, are fully examined
The characteristics of having considered two sections of active power when micro-wave oven starts, reactive power variations, so as to accurately distinguish micro-wave oven and perception
Appliance working (such as electric cooker etc.) increases the accuracy of micro-wave oven non-intruding identification.
The above disclosure is only the preferred embodiments of the present invention, cannot limit the right model of the present invention with this certainly
It encloses, therefore equivalent changes made in accordance with the claims of the present invention, is still within the scope of the present invention.
Claims (10)
1. a kind of micro-wave oven non-intruding load discrimination method, includes the following steps：
Step S1 samples the voltage and current signals at power supply total input-wire within the scope of certain sample frequency, forms electricity
Press signal sample sequence and current signal sample sequence；
Step S2 is being calculated in time window, the voltage signal sampling sequence and current signal sample sequence that scanning collection arrives, meter
Calculate real-time average active power sequence and real-time average reactive power sequence；
Step S3 scans real-time average active power sequence and real-time average reactive power sequence in certain time window, meter
Calculate active power variable quantity and reactive power variable quantity；
Step S4 detects active power change sequence and reactive power change sequence in k-th of time window, if active power
Change sequence is in first threshold range, while reactive power change sequence is in second threshold range, then records the moment at this time
For the first moment, and the first changing value of active power and the first changing value of reactive power are recorded, otherwise return to step S2；
Step S5, if active power change sequence is more than third threshold value, while reactive power change sequence is less than the 4th threshold value, then
The moment was the second moment to record at this time, and recorded the second changing value of active power and the second changing value of reactive power, otherwise
Return to step S2；
Step S6 calculates the interval duration at the second moment and the first moment, if the interval duration is in the 5th threshold range,
Judge running of microwave oven, otherwise return to step S2.
2. discrimination method as described in claim 1, which is characterized in that ranging from 0.5kHz~2kHz of sample frequency.
3. discrimination method as described in claim 1, which is characterized in that voltage sensor and electricity is respectively adopted in the step S1
Flow sensor samples the voltage and current signals at power supply total input-wire.
4. discrimination method as described in claim 1, which is characterized in that in the step S2, real-time average active power sequence P
(i) and the calculation formula of real-time average reactive power sequence Q (i) is respectively：
Wherein, m is the number for calculating power frequency period contained by time window, and j is sampling point number, and n is that a power frequency period includes
Sampled point number, n=1000 × (f/50).
5. discrimination method as claimed in claim 4, which is characterized in that the time span of time window is n in the step S3
× T, T are power frequency period.
6. discrimination method as claimed in claim 4, which is characterized in that in the step S3, active power variation delta P (i)
Calculation formula be：The calculation formula of Δ P (i)=Δ P (i+1)-Δ P (i), reactive power variation delta Q (i) be Δ Q (i)=
Δ Q (i+1)-Δ Q (i), wherein i are natural number.
7. discrimination method as claimed in claim 6, which is characterized in that in the step S4, active power change sequence is denoted as
Δ P (k), reactive power change sequence are denoted as Δ Q (k), first threshold ranging from (100,300), second threshold ranging from (700,
1000), if meeting 100<ΔP(k)<300 and 700<ΔQ(k)<1000, then judge that the power first stage is lifted, records this moment
For the first moment T1, and the first changing value for recording active power is Δ P (1), the first changing value of reactive power is Δ Q (1),
Otherwise return to step S2.
8. discrimination method as claimed in claim 7, which is characterized in that in the step S5, third threshold value is set as the 1000, the 4th
Threshold value is set as -400, and whether detection active power variation delta P (i) and reactive power variation delta Q (i) meet Δ P (k)>
1000 and Δ Q (k)<- 400, it records and engraves at this time as the second moment T if being satisfied by2, the second changing value of active power is denoted as
The second changing value of Δ P (2), reactive power are denoted as Δ Q (2), otherwise return to step S2.
9. discrimination method as claimed in claim 8, which is characterized in that in the step S6, the second moment T2With the first moment T1
Interval duration be denoted as Δ T (m), Δ T (m)=T2-T1, the 5th threshold range is set as (1s, 3s), if meeting 1s<ΔT(m)<
3s then judges running of microwave oven, otherwise return to step S2.
10. discrimination method as claimed in claim 9, which is characterized in that further include：Calculate the approximate rated power of micro-wave oven.
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| CN112464135A (en) * | 2020-11-12 | 2021-03-09 | 广西电网有限责任公司南宁供电局 | Microwave oven load characteristic extraction method based on dual electrical characteristic criteria |
| CN112464135B (en) * | 2020-11-12 | 2023-11-10 | 广西电网有限责任公司南宁供电局 | Microwave oven load characteristic extraction method based on dual electrical characteristic criteria |
| CN113884782A (en) * | 2021-08-24 | 2022-01-04 | 国网天津市电力公司营销服务中心 | Method and system for identifying starting characteristic of microwave oven, computer equipment and storage medium |
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