CN107247201A - Electric oven non-intruding discrimination method based on power and time response - Google Patents

Electric oven non-intruding discrimination method based on power and time response Download PDF

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CN107247201A
CN107247201A CN201710432918.7A CN201710432918A CN107247201A CN 107247201 A CN107247201 A CN 107247201A CN 201710432918 A CN201710432918 A CN 201710432918A CN 107247201 A CN107247201 A CN 107247201A
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mrow
power
electric oven
sequence
active power
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周赣
李琦
张亮
傅萌
冯燕钧
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Southeast University
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Southeast University
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere

Abstract

The invention discloses a kind of electric oven non-intruding discrimination method based on power and time response, comprise the following steps:The voltage and current signal of general supply inlet wire is sampled, voltage signal sampling sequence u (k) and current signal sample sequence i (k) is formed;Calculate real-time average active power sequence P (i) and real-time average reactive power sequence Q (i);Calculate active power variation delta P (i) and reactive power Δ Q (i);Detect that active power variation delta P (i) and electric operation duration Δ T (i) judges electric oven operation, and calculate the approximate rated power of electric oven.The load that the present invention solves intermitten service in current household electrical appliance is more, the steady-state characteristic of electric oven is similar to other electrical equipment, without problems such as obvious transient characterisitics, operation and the status of electric oven can accurately be perceived by changed power and computing duration, and the approximate rated power of electric oven is provided, realize the non-intruding identification of electric oven.

Description

Electric oven non-intruding discrimination method based on power and time response
Technical field
The invention belongs to intelligent power technical field, more particularly to electric oven non-intruding based on power and time response is distinguished Knowledge 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 power consumption within 2016 Up to 38%;Second, behavior is complicated, and because individual is numerous, while household electrical appliance species is various, the electricity consumption behavior of resident is non- It is often complicated;3rd, comprehensive energy consumption is high, and the comprehensive energy consumption of resident is far above developed country's levels such as Japan.Residential power is born Lotus monitoring decomposition technique is an emerging intelligent grid base support technology, and user's general power is only measured with current intelligent electric meter Difference, it to monitor and decomposite startup time of all electrical equipment in household, working condition, energy consumption as target so that Realize relatively reliable, accurate electric flux management.Electric load monitoring decomposition technique makes the electricity charge inventory of user as telephone charge is clear Single sample, the power consumption of all kinds of household electrical appliance is very clear, so that user understands the electricity consumption situation of oneself in time, it is rationally to divide Electricity consumption time and corresponding power consumption with each electrical equipment provide reference, finally can effectively reduce electric cost expenditure and electric energy wave Take.Data display, monthly electric with regard to that can make if domestic consumer can understand the detailed power information of house electric apparatus in time according to statistics Take spending and decline 5%~15%.If so many spendings, the carbon emission amount phase of reduction are saved state-owned half family every month in the whole America When in the use for reducing by 8,000,000 automobiles.
At present, residential power load monitoring decomposition technique is broadly divided into intrusive mood monitoring and decomposes (Intrusive Load Monitoring and decomposition, ILMD) and non-intruding monitor decomposition (Non-intrusive Load Monitoring and decomposition, NILMD) two major classes:
(1) intrusive mood load monitoring decomposition technique (ILMD):Intrusive mood load monitoring is by the biography with digital communication functions Sensor is arranged on the interface of each electrical equipment and power network, can be with the running status and power consumption of each load of accurate measurements.But it is big The cost that amount installation monitoring sensor is caused to build and safeguarded is higher, it is most important that intrusive mood load monitoring needs to enter resident Installation and debugging are carried out in family, user is easily caused and resists psychology.
(2) non-intrusion type load monitoring decomposition technique (NILMD):One sensor is installed only at user entry, passed through The information such as entrance total current, voltage are gathered and analyze to judge electric powers and working condition indoor each or per electric appliances (for example, air-conditioning have freeze, heat, the different working condition such as standby), so as to draw the electricity consumption rule of resident.It is negative with intrusive mood Lotus is decomposed and compared, 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 be selected at electric supply meter case, household will not be invaded completely It is interior to be constructed.It is believed that NILMD with decomposition algorithm replace ILMD systems sensor network, with it is simple, economical, can Lean on, data are complete and are easy to the advantages such as rapid popularization and application, be expected to develop into senior measurement system (AMI) core of new generation Technology (after ripe, NILMD algorithms can also be fused in the chip of intelligent electric meter), supports dsm, custom power etc. The Premium Features of intelligent power, are also applied for the provisional monitoring of load electricity consumption details and investigation.
Electric oven is the kitchen appliance of the radiant heat baking food sent using electric heating element, and dischargeable capacity is raised to 34 from 13 Rising has, and power is not always powered on about between 1000W-2000W during baking box work, so high-power baking box is not It is certain more power-consuming than small-power baking box.The mode of heating of electric oven can be divided into excessive internal heat, lower fire individually heating and heating simultaneously up and down Three kinds, temperature can typically be adjusted in the range of 50-250 DEG C.
In summary, NILMD technologies have been increasingly becoming a study hotspot, and the breakthrough and industrialization of correlation technique are to complete The target of the energy-saving and emission-reduction of society is significant.But the research of current NILMD technologies also rests on theoretical research stage, The key technologies such as the decomposition discrimination method of disconnected operating load especially hair dryer need to be broken through.
It would therefore be highly desirable to solve the above problems.
The content of the invention
Goal of the invention:The base of hair dryer running status and rated power can be precisely sensed it is an object of the invention to provide a kind of In power and the electric oven non-intruding discrimination method of time response.
Technical scheme:To realize object above, the invention discloses a kind of electric oven based on power and time response is non- Discrimination method is invaded, the discrimination method comprises the following steps:
(1) in the range of certain sample frequency, the voltage and current signal of general supply inlet wire is sampled, voltage is formed Signal sample sequence u (k) and current signal sample sequence i (k), k is sampling point number;
(2) the voltage signal sampling sequence u (k) that scanning collection is arrived and current signal sample sequence i (k), calculates flat in real time Equal active power sequence P (i) and real-time average reactive power sequence Q (i);
(3) necessarily calculating in time window, scanning real-time average active power sequence P (i) and in real time average idle work( Rate sequence Q (i), calculates active power variation delta P (i) and reactive power Δ Q (i);
(4) whether detection active power variation delta P (i) is more than 1000, if Δ P (i)>1000 judgement power liftings, The lifting moment is ton(i), the lifting value of active power is designated as Δ Pu, the lifting value of reactive power is designated as Δ Qu, and by Δ Pu、Δ Qu、ton(i) startup electrical equipment table is charged to;
(5) whether detection active power variation delta P (i) is less than -1000, if Δ P (i)<- 1000 judge that power falls Fall, record falls moment toff(i), active power falls value Δ Pd, reactive power falls value Δ Qd, traversal startup electrical equipment Table, when meeting following criterion:|ΔPu|≈|ΔPd|>1000, | Δ Qu|≈|ΔQd| ≈ 0, go to step (6)
(6) electric operation duration Δ T (i)=t is calculatedoff(i)-ton(i), if meeting 60s<ΔT<70s, Δ T1≈Δ T2≈…≈ΔTn, then judgement electric oven is run, and calculates the approximate rated power of electric oven, otherwise return to step (2).
Wherein, the sample frequency scope in the step (1) is f=0.5kHz~2kHz.
It is preferred that, real-time average active power sequence P (i) described in the step (2) and real-time average reactive power sequence Row Q (i) calculation formula be respectively
Wherein, m is calculates the number of power frequency period contained by time window, and it is sampling point number to take m=5, k, and N is a work The sampled point number that the frequency cycle includes, N=1000 × (f/50).
Furthermore, active power variation delta P (i) and reactive power Δ Q (i) calculation formula is distinguished in the step (3) For:Δ P (i)=P (i+1)-P (i), Δ Q (i)=Q (i+1)-Q (i), wherein i=1,2,3 ....
Further, the voltage of voltage sensor and current sensor to general supply inlet wire is respectively adopted in the step (1) Sampled with current signal.
Beneficial effect:Compared with prior art, the present invention has following remarkable advantage:The invention provides based on power and The electric oven non-intruding discrimination method of time response, the load for solving intermitten service in current household electrical appliance is more, as electricity blows Wind, electric oven, micro-wave oven etc., the steady-state characteristic of electric oven are similar to other electrical equipment, without problems such as obvious transient characterisitics, pass through Changed power and computing duration can accurately perceive operation and the status of electric oven, and provide the approximate specified work(of electric oven Rate, technical support is provided to realize that the non-intruding of electric oven is recognized.
Brief description of the drawings
Fig. 1 is schematic flow sheet of the invention;
Fig. 2 runs the meter of real-time average active power in non-intruding discrimination method for the electric oven based on load intermitten service Calculate result figure;
Fig. 3 runs the meter of real-time average reactive power in non-intruding discrimination method for the electric oven based on load intermitten service Calculate result figure.
Embodiment
Technical scheme is described further below in conjunction with the accompanying drawings.
As shown in Figure 1 and Figure 2, the invention discloses a kind of electric oven non-intruding identification side based on power and time response Method, specific process step is as follows:
(1) take sample frequency f=0.8kHz, using current sensor and voltage sensor to the voltage of general supply inlet wire and Electric current is sampled, and forms voltage signal sampling sequence u (k) and current signal sample sequence i (k), k is sampling point number.
(2) calculating m=5 power frequency period of time window, the sampled point number N=16 that a power frequency period is included, meter are taken Real-time average active power sequence P (i) and the reactive power sequence Q (i) of general supply point of incoming cables are calculated, wherein
P (i) calculation formula is
Q (i) calculation formula is
As shown in Fig. 2 the method for operation of electric oven is intermitten service, and each section of run time is roughly equal, once transports Row time substantially 60s to 70s or so, there is multistage intermittent duty process in electric oven whole work process.
(3) real-time average active power sequence P (i) and real-time average reactive power are scanned in necessarily calculating time window Sequence Q (i), calculates active power variation delta P (i) and reactive power Δ Q (i), Δ P (i) calculation formula for Δ P (i)= Δ P (i+1)-Δ P (i), Δ Q (i) calculation formula are Δ Q (i)=Δ Q (i+1)-Δ Q (i), wherein i=1,2,3 ...
As shown in Fig. 2 electric oven power during running is changing always, there are step change type start and stop in active power interval Journey, the variable quantity of active power is 1080W or so, and reactive power is fluctuated in 0 to -12W, and Δ P is tried to achieve according to calculation formula (i) with Δ Q (i) value.
(4) whether detection active power variation delta P (i) is more than 1000, if Δ P (i)>1000 judge power lift Rise, the lifting moment is ton(i), the lifting value of active power is designated as Δ Pu, the lifting value of reactive power is designated as Δ Qu, and by Δ Pu、ΔQu、ton(i) startup electrical equipment table is charged to;
Identify whether load is power lifting specifically by the size of detection Δ P (i) value, enter if non-power lifting Enter step (5), the lifting moment is otherwise designated as ton(i), active power lifting value is designated as Δ Pu, reactive power lifting value is designated as Δ Qu, and by Δ Pu、ΔQu、ton(i) startup electrical equipment table is charged to.
As shown in Figures 2 and 3, the Δ P values of electric oven step rising time during running are 1080W, more than in criterion Threshold value 1000W, therefore can be determined that as power lifting, the lifting moment be designated as ton(i), t as depictedon(1)、ton(2), The lifting value of active power is designated as Δ Pu(i), the lifting value of reactive power is designated as Δ Qu(i), and by Δ Pu(i)、ΔQu(i)、 ton(i) startup electrical equipment table is charged to.
(5) whether detection active power variation delta P (i) is less than -1000, if Δ P (i)<- 1000 judge that power falls Fall, it is t constantly that note, which is fallen,off(i), active power falls value for Δ Pd, it is Δ Q that reactive power, which falls value,d, traversal startup electrical equipment Table, when meeting following criterion:|ΔPu|≈|ΔPd|>1000, | Δ Qu|≈|ΔQd| ≈ 0, go to step (6);
Identify whether load is power fall down specifically by the size of detection Δ P (i) value, if not power fall down is then returned Step (2) is returned, otherwise will fall and be designated as t constantlyoff(i), active power falls value and is designated as Δ Pd, reactive power falls value and is designated as ΔQd, and by Δ Pd、ΔQdCharge to startup electrical equipment table.
As shown in Figures 2 and 3, ton(1) the active power lifting value at moment is designated as Δ Pu(1), reactive power lifting value is remembered For Δ Qu(1), toff(1) active power at moment falls value and is designated as Δ Pd(1), reactive power falls value and is designated as Δ Qd(1);ton (2) the active power lifting value at moment is designated as Δ Pu(2), reactive power lifting value is designated as Δ Qu(2), toff(2) moment is active Power fall down value is designated as Δ Pd(1), reactive power falls value and is designated as Δ Qd(1), can obtain | Δ Pu(1)|≈|ΔPd(1)|>1000, |ΔPu(2)|≈|ΔPd(2)|>1000, and reactive power fluctuation very little can be approximately equal to 0, meet criterion:|ΔPu|≈|ΔPd |>1000, | Δ Qu|≈|ΔQd| ≈ 0, go to step (6).
(6) electric operation duration Δ T (i)=t is calculatedoff(i)-ton(i), if meeting 60s<ΔT<70s, Δ T1≈Δ T2≈…≈ΔTn, then judgement electric oven is run, and calculates the approximate rated power of electric oven, otherwise return to step (2).
The operation duration of electric oven, as shown in Figures 2 and 3, Δ T (1)=t are specially calculated by formulaoff(1)-ton(1), Δ T (2)=toff(2)-ton(2), electrical equipment is approximately run at equal intervals, and a length of 60s to 70s, then may determine that during each intermittent duty Run for electric oven, it is possible to obtain the approximate rated power P of electric ovenss
As shown in Figures 2 and 3,60s≤Δ T1=Δ T2...=Δ Tn≤ 70s, then it is considered that there is electric oven operation, electricity The approximate volume electrical power of baking box is 1080W.
It should be pointed out that for those skilled in the art, under the premise without departing from the principles of the invention, Some improvements and modifications can also be made, these improvements and modifications also should be regarded as protection scope of the present invention.In the present embodiment not Clear and definite each part can use prior art to be realized.

Claims (5)

1. a kind of electric oven non-intruding discrimination method based on power and time response, it is characterised in that:The discrimination method includes Following steps:
(1) in the range of certain sample frequency, the voltage and current signal of general supply inlet wire is sampled, voltage signal is formed Sample sequence u (k) and current signal sample sequence i (k), k is sampling point number;
(2) the voltage signal sampling sequence u (k) that scanning collection is arrived and current signal sample sequence i (k), calculating averagely has in real time Work(power sequence P (i) and real-time average reactive power sequence Q (i);
(3) necessarily calculating in time window, scanning real-time average active power sequence P (i) and real-time average reactive power sequence Q (i) is arranged, active power variation delta P (i) and reactive power Δ Q (i) is calculated;
(4) whether detection active power variation delta P (i) is more than 1000, if Δ P (i)>1000 judgement power liftings, lifting Moment is ton(i), the lifting value of active power is designated as Δ Pu, the lifting value of reactive power is designated as Δ Qu, and by Δ Pu、ΔQu、ton (i) startup electrical equipment table is charged to;
(5) whether detection active power variation delta P (i) is less than -1000, if Δ P (i)<- 1000 judgement power fall downs, Record falls moment toff(i), active power falls value Δ Pd, reactive power falls value Δ Qd, traversal startup electrical equipment table, when Meet following criterion:|ΔPu|≈|ΔPd|>1000, | Δ Qu|≈|ΔQd| ≈ 0, go to step (6)
(6) electric operation duration Δ T (i)=t is calculatedoff(i)-ton(i), if meeting 60s<ΔT<70s, Δ T1≈ΔT2≈… ≈ΔTn, then judgement electric oven is run, and calculates the approximate rated power of electric oven, otherwise return to step (2).
2. the electric oven non-intruding discrimination method according to claim 1 based on power and time response, it is characterised in that: Sample frequency scope in the step (1) is f=0.5kHz~2kHz.
3. the electric oven non-intruding discrimination method according to claim 1 based on power and time response, it is characterised in that: The calculating of real-time average active power sequence P (i) and real-time average reactive power sequence Q (i) described in the step (2) is public Formula is respectively
<mrow> <mi>P</mi> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mn>1</mn> <mrow> <mi>m</mi> <mi>N</mi> </mrow> </mfrac> <munderover> <mo>&amp;Sigma;</mo> <mi>k</mi> <mrow> <mi>k</mi> <mo>+</mo> <mi>m</mi> <mi>N</mi> </mrow> </munderover> <mi>u</mi> <mrow> <mo>(</mo> <mi>k</mi> <mo>)</mo> </mrow> <mo>*</mo> <mi>i</mi> <mrow> <mo>(</mo> <mi>k</mi> <mo>)</mo> </mrow> </mrow>
<mrow> <mi>Q</mi> <mrow> <mo>(</mo> <mi>i</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mn>1</mn> <mrow> <mi>m</mi> <mi>N</mi> </mrow> </mfrac> <msqrt> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mi>k</mi> <mrow> <mi>k</mi> <mo>+</mo> <mi>m</mi> <mi>N</mi> </mrow> </munderover> <mi>u</mi> <msup> <mrow> <mo>(</mo> <mi>k</mi> <mo>)</mo> </mrow> <mn>2</mn> </msup> <mo>*</mo> <munderover> <mo>&amp;Sigma;</mo> <mi>k</mi> <mrow> <mi>k</mi> <mo>+</mo> <mi>m</mi> <mi>N</mi> </mrow> </munderover> <mrow> <mi>i</mi> <msup> <mrow> <mo>(</mo> <mi>k</mi> <mo>)</mo> </mrow> <mn>2</mn> </msup> </mrow> <mo>-</mo> <msup> <mrow> <mo>(</mo> <munderover> <mo>&amp;Sigma;</mo> <mi>k</mi> <mrow> <mi>k</mi> <mo>+</mo> <mi>m</mi> <mi>N</mi> </mrow> </munderover> <mi>u</mi> <mo>(</mo> <mi>k</mi> <mo>)</mo> <mo>*</mo> <mi>i</mi> <mo>(</mo> <mi>k</mi> <mo>)</mo> <mo>)</mo> </mrow> <mn>2</mn> </msup> </mrow> </msqrt> </mrow>
Wherein, m is calculates the number of power frequency period contained by time window, and it is sampling point number to take m=5, k, and N is a power frequency week The sampled point number that phase includes, N=1000 × (f/50).
4. the electric oven non-intruding discrimination method according to claim 1 based on power and time response, it is characterised in that: Active power variation delta P (i) and reactive power Δ Q (i) calculation formula is respectively in the step (3):Δ P (i)=P (i + 1)-P (i), Δ Q (i)=Q (i+1)-Q (i), wherein i=1,2,3 ....
5. the electric oven non-intruding discrimination method according to claim 1 based on power and time response, it is characterised in that: Voltage sensor and current sensor is respectively adopted in the step (1) to adopt the voltage and current signal of general supply inlet wire Sample.
CN201710432918.7A 2017-06-09 2017-06-09 Electric oven non-intruding discrimination method based on power and time response Pending CN107247201A (en)

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CN108346070A (en) * 2018-02-23 2018-07-31 南京飞腾电子科技有限公司 User power utilization behavior analysis system
CN108572292A (en) * 2018-03-27 2018-09-25 深圳供电局有限公司 A kind of micro-wave oven non-intruding load discrimination method
WO2019128844A1 (en) * 2017-12-26 2019-07-04 江苏智臻能源科技有限公司 Non-invasive identification method of microwave oven operation based on hybrid criteria
WO2019128843A1 (en) * 2017-12-26 2019-07-04 江苏智臻能源科技有限公司 Non-invasive ih electric cooker operating identification method based on hybrid criterion
CN111665387A (en) * 2020-05-08 2020-09-15 深圳供电局有限公司 Non-invasive household electric cooker identification method
CN111665388A (en) * 2020-05-18 2020-09-15 深圳供电局有限公司 Non-invasive household air conditioner identification method
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CN111665387A (en) * 2020-05-08 2020-09-15 深圳供电局有限公司 Non-invasive household electric cooker identification method
CN111665387B (en) * 2020-05-08 2021-06-04 深圳供电局有限公司 Non-invasive household electric cooker identification method
CN111665388A (en) * 2020-05-18 2020-09-15 深圳供电局有限公司 Non-invasive household air conditioner identification method
CN112034245A (en) * 2020-11-03 2020-12-04 天津滨电电力工程有限公司 Household washing machine identification method for embedded terminal

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Application publication date: 20171013