CN106707224A - Electric energy metering device state assessment method, device and system - Google Patents
Electric energy metering device state assessment method, device and system Download PDFInfo
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- CN106707224A CN106707224A CN201710099704.2A CN201710099704A CN106707224A CN 106707224 A CN106707224 A CN 106707224A CN 201710099704 A CN201710099704 A CN 201710099704A CN 106707224 A CN106707224 A CN 106707224A
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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Abstract
The present invention discloses an electric energy metering device state assessment method, device and system. The method comprises: collecting user load motion information at each power consumption day in N continuous power consumption days, wherein N is an integer of being not smaller than 2; obtaining a distance measurement coefficient of each two adjacent power consumption days according to each load motion information and the Mahalanobis distance measurement calculation correlation, wherein the Mahalanobis distance measurement calculation correlation is shown in img file='DDA0001231353030000011.TIF' wi='697' he='89', wherein d is a distance measurement coefficient, xi is the load motion information at the (N-1)th power consumption day, and xj is the load motion information at the Nth power consumption day; determining whether each distance measurement coefficient is larger than an early warning coefficient or not, if each distance measurement coefficient is larger than the early warning coefficient, determining that the power consumption day corresponding to the distance measurement coefficient is an abnormal power consumption day, and determining that the user electric energy metering device state is abnormal; or else, determining the power consumption day corresponding to the distance measurement coefficient is an normal power consumption day, and determining the electric energy metering device state is normal. The electric energy metering device state assessment method, device and system need few data, are easy to perform data collection and are easy to realize the state assessment.
Description
Technical field
The present invention relates to intelligent grid equipment on-line Condition Monitoring Technology field, more particularly to a kind of electric power meter
State evaluating method, apparatus and system.
Background technology
Electric energy metrical work is the one very important work of electric energy enterprise, is also that electric power enterprise and user set up what is trusted
It is crucial.Accurately metering electric energy can ensure the justice of electricity clearing, so whether the state of electric power meter is normal directly
Affect the accuracy of electric energy metrical.
At present, the main method using error in dipping is estimated to the state of the electric power meter of user, but, it is existing
Have in technology when being estimated to the state of the electric power meter of some user using the method for error in dipping, not only need
Gather the electric parameter of the target electric power meter, in addition it is also necessary to which collection has electrical equipment topology with the target electric power meter
The electrical parameter of multiple neighbouring devices of relation, analysis is estimated with the state further to the target electric power meter,
The data volume of electric power meter state evaluating method needs collection of the prior art is larger, and data acquisition is more numerous
It is trivial, and the implementation process of state estimation is more complicated.
Therefore, how a kind of electric power meter state evaluating method for solving above-mentioned technical problem, device are provided and are
The problem that system needs to solve as those skilled in the art.
The content of the invention
It is an object of the invention to provide a kind of electric power meter state evaluating method, apparatus and system, in the mistake for using
Data are less needed for journey, and data acquisition is more prone to, and state estimation is more easily implemented.
In order to solve the above technical problems, the invention provides a kind of electric power meter state evaluating method, methods described
Including：
The load row degree information of collection user each electricity consumption day in N number of continuous electricity consumption day, the N is not less than 2
Integer；
Each two neighboring institute is drawn according to load row degree information each described and mahalanobis distance Likelihood Computation relational expression
The distance measure coefficient of electricity consumption day is stated, the mahalanobis distance Likelihood Computation relational expression is
Wherein, d is distance measure coefficient, xiIt is the load row degree information of the N-1 electricity consumption day, xjIt is the load row degree of n-th electricity consumption day
Information；
Whether each described distance measure coefficient is judged more than vigilance parameter, if it is, the distance measure coefficient pair
The electricity consumption day answered is abnormal electricity consumption day, the electric power meter abnormal state of the user；Otherwise, the distance measure coefficient pair
The electricity consumption day answered is normal electricity consumption day, and the electric power meter state is normal.
Optionally, load row degree information include positive active peak row degree, the positive active depth of parallelism, positive active paddy row degree,
Positive idle head office's degree and the idle head office's degree of negative sense.
Optionally, the vigilance parameter is calculated according to vigilance parameter calculation relational expression.
Optionally, the vigilance parameter calculation relational expression is the σ of δ=μ+3, wherein, δ represents vigilance parameter, in continuous n use
When being normal electricity consumption day electric day, μ represents the n average value of the distance measure coefficient of the electricity consumption day, and σ represents the n use
The standard deviation of electric day, the n is the integer more than 1.
Optionally, the n determines according to the first set-up time of the electric power meter.
Optionally, the n determines according to the repair time of the electric power meter.
Optionally, electric power meter state evaluating method as described above, the N is 26.
In order to solve the above technical problems, the invention provides a kind of electric power meter state evaluation device, including：
Collecting unit, the load row degree information for gathering user's each electricity consumption day in N number of continuous electricity consumption day, institute
It is the integer not less than 2 to state N；
Computing unit, for drawing each phase according to load row degree information each described and mahalanobis distance Likelihood Computation relational expression
The distance measure coefficient of adjacent two electricity consumptions day, the mahalanobis distance Likelihood Computation relational expression is
Wherein, d is distance measure coefficient, xiIt is the load row degree information of the N-1 electricity consumption day, xjIt is the load row degree of n-th electricity consumption day
Information；
Judging unit, for whether judging each described distance measure coefficient more than vigilance parameter, if it is, it is described away from
It is abnormal electricity consumption day, the electric power meter abnormal state of the user from the corresponding electricity consumption day of computing index；Otherwise, it is described away from
It is normal electricity consumption day from the corresponding electricity consumption day of computing index, the electric power meter state is normal.
Optionally, the load row degree information includes positive active peak row degree, the positive active depth of parallelism, positive active paddy row
Degree, positive idle head office's degree and the idle head office's degree of negative sense.
In order to solve the above technical problems, the invention provides a kind of electric power meter status assessing system, including as above
State described electric power meter state evaluation device.
The invention provides a kind of electric power meter state evaluating method, apparatus and system, including collection user is N number of
The load row degree information of each electricity consumption day in continuous electricity consumption day, the N is the integer not less than 2；Born according to each described
Lotus row degree information and mahalanobis distance Likelihood Computation relational expression draw the distance measure coefficient of each two neighboring electricity consumption day,
The mahalanobis distance Likelihood Computation relational expression isWherein, d is distance measure coefficient,
xiIt is the load row degree information of the N-1 electricity consumption day, xjIt is the load row degree information of n-th electricity consumption day；Judge each distance
Whether computing index is more than vigilance parameter, if it is, the corresponding electricity consumption day of the distance measure coefficient is abnormal electricity consumption day, institute
State the electric power meter abnormal state of user；Otherwise, the corresponding electricity consumption day of the distance measure coefficient is normal electricity consumption day, institute
State electric power meter state normal.
When the state of the electric power meter to some user is estimated, it is N number of continuous that the present invention only needs to collection
The load row degree information that the electric power meter of the user is measured in each electricity consumption day in electricity consumption day, and surveyed using mahalanobis distance
Degree computational methods calculate the distance measure coefficient of the adjacent electricity consumption of each two day, then by each resulting distance measure coefficient
It is compared with vigilance parameter, to judge whether each distance measure coefficient exceedes vigilance parameter, distance measure coefficient exceedes pre-
The electricity consumption day of alert coefficient is abnormal electricity consumption day, can from which further follow that electric power meter abnormal state in the electricity consumption day, otherwise,
Electric power meter state is normal in the electricity consumption day.The present invention is carried out using mahalanobis distance to the electric power meter state of user
Assessment, required data are less, and data acquisition is more prone to, and state estimation is more easily implemented.
Brief description of the drawings
Technical scheme in order to illustrate more clearly the embodiments of the present invention, below will be to institute in prior art and embodiment
The accompanying drawing for needing to use is briefly described, it should be apparent that, drawings in the following description are only some implementations of the invention
Example, for those of ordinary skill in the art, on the premise of not paying creative work, can also obtain according to these accompanying drawings
Obtain other accompanying drawings.
A kind of schematic flow sheet of electric power meter state evaluating method that Fig. 1 is provided for the present invention；
A kind of structural representation of electric power meter state evaluation device that Fig. 2 is provided for the present invention.
Specific embodiment
The invention provides a kind of electric power meter state evaluating method, apparatus and system, the institute during use
Need data less, data acquisition is more prone to, and state estimation is more easily implemented.
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
A part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
In view of user power utilization amount data exist it is each the opposite sex and continuity, the present invention will introduce it is a kind of based on mahalanobis distance away from
It is estimated come the state to electric power meter from Measurement Method.Mahalanobis distance represents covariance distance, it is contemplated that each sample
This concentrates the correlation between each element, and it is a kind of two methods of unknown sample collection similarity of effective calculating.For
The user of regular electricity consumption, such as power network I, II and Group III user, their electricity consumption radix are big, and daily load power consumption trend is put down
Surely, load curve has the property intended, and daily power consumption has certain association, therefore, using the distance measure of mahalanobis distance
Method is entered to the state that user power utilization gauge rule characteristic is carried out by qualitative assessment further to the electric power meter of the user
Row effectively assessment.
Refer to Fig. 1, a kind of schematic flow sheet of electric power meter state evaluating method that Fig. 1 is provided for the present invention.
The method includes：
Step 10：The load row degree information of collection user each electricity consumption day in N number of continuous electricity consumption day, N is not less than 2
Integer；
It should be noted that when the state of the electric power meter to some user is estimated, it is necessary to gather this
The load row degree information of user's each electricity consumption day in N number of continuous electricity consumption day, for example, gather each electricity consumption day in nearly month
Load row degree information.Data message can be obtained on long-distance metering backstage by way of using parallel interface in actual applications
Collection, the data message is load row degree information.
Used as optional, load row degree information includes positive active peak row degree, the positive active depth of parallelism, positive active paddy row
Degree, positive idle head office's degree and the idle head office's degree of negative sense.
It should be noted that the load row degree information for being gathered can include above-mentioned five kinds of rows degree information, and forward direction has
This five kinds of work(peak row degree, the positive active depth of parallelism, positive active paddy row degree, positive idle head office's degree and the idle head office's degree of negative sense
It is separate between row degree information.
Certainly, the load row degree information for being gathered is not limited only to this five kinds, can also include other kinds of row degree information,
Specifically gathering which kind row degree information can be decided according to the actual requirements, and the present invention does not do special restriction herein, can realize this
The purpose of invention.
Step 11：Show that each is two neighboring according to each load row degree information and mahalanobis distance Likelihood Computation relational expression
The distance measure coefficient of electricity consumption day；
It should be noted that mahalanobis distance Likelihood Computation relational expression isIts
In, d is distance measure coefficient, xiIt is the load row degree information of the N-1 electricity consumption day, xjIt is the load row degree letter of n-th electricity consumption day
Breath；
Specifically, the load row degree information of each electricity consumption day for being gathered, using mahalanobis distance Likelihood Computation relation
FormulaWherein, xiWith xjIt is vector or matrix, Σ-1(xi-xj) represent covariance square
Battle array.The distance measure coefficient of the day per two neighboring electricity consumption can be calculated by mahalanobis distance Likelihood Computation relational expression, for example,
I=1, j=2, then the 1st electricity consumption day be with the distance measure coefficient of the 2nd electricity consumption day
Wherein, d (x1,x2) concrete numerical value by x1And x2Occurrence determine.
It should be noted that in actual applications each distance measure coefficient can be calculated by a certain software, certainly should
Software can be obtained after being upgraded by the software to metering automation system, or to realize this function and special
Door research and development, the present invention does not make special restriction to this, can realize the purpose of the present invention.
Step 12：Whether each distance measure coefficient is judged more than vigilance parameter, if it is, distance measure coefficient correspondence
Electricity consumption day be abnormal electricity consumption day, the electric power meter abnormal state of user；Otherwise, the corresponding electricity consumption day of distance measure coefficient
It is normal electricity consumption day, electric power meter state is normal.
It should be noted that after calculating the distance measure coefficient per two neighboring electricity consumption day, by calculate each
Distance measure coefficient is compared with vigilance parameter, and whether compared distance measure coefficient is judged more than vigilance parameter with this,
Should in can then from which further following that the corresponding electricity consumption day of the distance measure coefficient for the distance measure coefficient more than vigilance parameter
The abnormal state of the electric power meter of user, for the distance measure coefficient for being not more than vigilance parameter, then can further obtain
The state for going out the electric power meter of the user in the corresponding electricity consumption day of the distance measure coefficient is normal.By provided by the present invention
Method the state of electric power meter is estimated after can for staff to it is live to the electric power meter after
Continuous treatment, verification and maintenance provide foundation.
Used as optional, vigilance parameter is calculated according to vigilance parameter calculation relational expression.
Used as optional, vigilance parameter calculation relational expression is the σ of δ=μ+3, wherein, δ represents vigilance parameter, is used at continuous n
When being normal electricity consumption day electric day, μ represents the average value of the distance measure coefficient of n electricity consumption day, and σ represents the mark of n electricity consumption day
Accurate poor, n is the integer more than 1.
It should be noted that when continuous n electricity consumption day normal electricity consumption day is, that is, in continuous n electricity consumption day
The electric power meter state of the user is normal, by gathering the load row degree information of this n electricity consumption day, and can now pass through
Mahalanobis distance Likelihood Computation relational expression draws the distance measure coefficient of every two neighboring electricity consumption day in n normal electricity consumption day, enters one
Step can calculate the average value mu and standard deviation sigma of the distance measure coefficient of this n normal electricity consumption day, then by vigilance parameter
Calculation relational expression δ=σ of μ+3 from which further follow that vigilance parameter.
Used as optional, n determines according to the first set-up time of electric power meter.
It should be noted that for the first electric power meter installed, its state is normal shape in certain time period
The size of state, i.e. n can determine that its concrete numerical value can be according to reality according to the first set-up time of the electric power meter
Situation is determined.
Used as optional, n determines according to the repair time of electric power meter.
It should be noted that n can not only determine acceptable foundation according to the first set-up time of electric power meter
The repair time of the electric power meter determines, because electric power meter in the certain time period after maintenance its state be also
Normal condition, the repair time which time the repair time is specially does not limit, for example, the electric power meter has been entered
Went multiple maintenance, then can be used as the maintenance being previously mentioned in the application for any repair time in repeatedly maintenance
Time.In addition, the concrete numerical value of n can also be determined according to actual conditions, the present invention does not do special restriction herein, can be real
The existing purpose of the present invention.
Used as optional, electric power meter state evaluating method described above, N is 26.
It should be noted that depending on the specific value of N can be according to actual conditions, the present invention does not make special limit to this
It is fixed, the purpose of the present invention can be realized.
Specifically, being described in detail by taking certain electronic enterprise as an example below.The capacity of applying to install of certain electronic enterprise user is
400kVA (Group III user), three line three-phase systems are powered.By metering automation system during 26 days-m months on the 1st m months monitoring and statisticses
The electricity consumption row degrees of data information of the user, by gathering the load row degree information for obtaining the user in continuous 26 electricity consumptions day, such as
Shown in table 1, table 1 is load row degree information of certain electronic enterprise provided by the present invention in continuous 26 electricity consumptions day.
Using the distance measuring method of mahalanobis distance, the distance measure coefficient of the day per two neighboring electricity consumption is calculated, to be adopted
Illustrated as a example by the 1st electricity consumption day and the 2nd distance coefficient of electricity consumption day in the data of collection：
The load row degree x of the 1st day1=[0,0.02,0,0.17,0], the 2nd day load row degree x2=[0.02,0.01,0,0.09,0],
And mahalanobis distance Likelihood Computation relational expression By x1
And x2Draw covariance coefficient cov (x1,x2)=0.0027, then distance measure coefficient
The distance between remaining 25 adjacent electricity consumptions day computing index after above-mentioned calculating process is calculated is repeated, as a result as shown in table 2,
Table 2 is the distance measure coefficient of the load row degree information in table 1.
Table 1
Table 2
Premised on the load stationarity of user, it is assumed that in a period of time after the electric power meter maintenance of the user
It is user's normal electricity consumption day, it is normal electricity consumption day for example to select the 6-11 electricity consumption day, then n is the company in the 6-11 electricity consumption day
Continuous 7 electricity consumptions day, by calculating average value mu=0.97 of the distance measure coefficient that can draw the continuous n normal electricity consumption day,
And its standard deviation sigma=0.815, then vigilance parameter δ=3.42 are further drawn by vigilance parameter calculation relational expression δ=σ of μ+3,
By the distance measure coefficient in table 2 it is known that user daily has slight out-of-limit in the 3rd, 4 and the 5th electricity consumptions, analysis understands
This time belongs to abnormal incubation period, and the 12nd, 13,23 and 24 electricity consumptions daily have obvious out-of-limit phenomenon, it is possible thereby to
Judge abnormal state of the electric power meter of the user within this time, staff can determine scene and enter according to this
Whether row is checked, is damaged with the electric power meter for determining the user, by actually looking at discovery user's electric energy meter inside unit
Part is damaged, and in turn results in reactive measurement exception, and electric energy metrical recovers normal after electric power meter is changed.
Certainly, the distance measure Coefficient Fitting that will can also be calculated into distance measure coefficient song is observed to be more convenient for
Which distance measure coefficient line, more intuitively observe by curve more than vigilance parameter, for which distance specifically how judged
Computing index is more than vigilance parameter, and the present invention does not do special restriction, can realize the purpose of the present invention herein.
I.e. using method provided by the present invention can be conveniently to electric power meter state be estimated, with
Just foundation is provided by the follow-up work that staff launches to electric power meter.
It should be noted that the value of N is 26 in above-mentioned specific embodiment provided herein, certainly, in reality
N is not limited only to take the value in, depending on its concrete numerical value can be according to actual conditions.
It should be noted that the distance measuring method of mahalanobis distance of the present invention is with the electricity consumption of user's stationarity as preceding
Carry, by the trend analysis to user power utilization amount, assessment can be monitored to the running status of electric power meter, it is adaptable to
The user (such as hospital, subway, highway system or large-scale state-owned enterprise etc.) of regular electricity consumption.Certainly, for Changes in weather, festivals or holidays
The user differed greatly with the power consumption caused by actual production day then needs to be can be used to data cluster analysis rear.
The invention provides a kind of electric power meter state evaluating method, including collection user is in N number of continuous electricity consumption day
In each electricity consumption day load row degree information, N is the integer not less than 2；According to each load row degree information and mahalanobis distance
Likelihood Computation relational expression draws the distance measure coefficient of each two neighboring electricity consumption day, and mahalanobis distance Likelihood Computation relational expression isWherein, d is distance measure coefficient, xiIt is the load row degree letter of the N-1 electricity consumption day
Breath, xjIt is the load row degree information of n-th electricity consumption day；Whether each distance measure coefficient is judged more than vigilance parameter, if it is,
The then corresponding electricity consumption day of distance measure coefficient is abnormal electricity consumption day, the electric power meter abnormal state of user；Otherwise, distance is surveyed
The corresponding electricity consumption day of degree coefficient is normal electricity consumption day, and electric power meter state is normal.
When the state of the electric power meter to some user is estimated, it is N number of continuous that the present invention only needs to collection
The load row degree information that the electric power meter of the user is measured in each electricity consumption day in electricity consumption day, and surveyed using mahalanobis distance
Degree computational methods calculate the distance measure coefficient of the adjacent electricity consumption of each two day, then by each resulting distance measure coefficient
It is compared with vigilance parameter, to judge whether each distance measure coefficient exceedes vigilance parameter, distance measure coefficient exceedes pre-
The electricity consumption day of alert coefficient is abnormal electricity consumption day, can from which further follow that electric power meter abnormal state in the electricity consumption day, otherwise,
Electric power meter state is normal in the electricity consumption day.The present invention is carried out using mahalanobis distance to the electric power meter state of user
Assessment, required data are less, and data acquisition is more prone to, and state estimation is more easily implemented.
Refer to Fig. 2, a kind of structural representation of electric power meter state evaluation device that Fig. 2 is provided for the present invention.
On the basis of above-described embodiment：
The device includes：
Collecting unit 1, the load row degree information for gathering user's each electricity consumption day in N number of continuous electricity consumption day, N is not for
Integer less than 2；
Computing unit 2, for drawing each according to each load row degree information and mahalanobis distance Likelihood Computation relational expression
The distance measure coefficient of two neighboring electricity consumption day, mahalanobis distance Likelihood Computation relational expression is
Wherein, d is distance measure coefficient, xiIt is the load row degree information of the N-1 electricity consumption day, xjIt is the load row degree of n-th electricity consumption day
Information；
Judging unit 3, for whether judging each distance measure coefficient more than vigilance parameter, if it is, distance measure
The corresponding electricity consumption day of coefficient is abnormal electricity consumption day, the electric power meter abnormal state of user；Otherwise, distance measure coefficient correspondence
Electricity consumption day be normal electricity consumption day, electric power meter state is normal.
Used as optional, load row degree information includes positive active peak row degree, the positive active depth of parallelism, positive active paddy row
Degree, positive idle head office's degree and the idle head office's degree of negative sense.
It should be noted that for the state estimation side in electric power meter state evaluation device provided by the present invention
The introduction of method refer to above method embodiment, and the present invention will not be repeated here.
The invention provides a kind of electric power meter state evaluation device, required data are less in use, and
It is easily achieved.
On the basis of above-described embodiment, the invention provides a kind of electric power meter status assessing system, including such as
Above-mentioned electric power meter state evaluation device.
It should be noted that for the state estimation side in electric power meter status assessing system provided by the present invention
The introduction of method refer to above method embodiment, and the present invention will not be repeated here.
The invention provides a kind of electric power meter status assessing system, required data are less in use, and
It is easily achieved.
Also, it should be noted that in this manual term " including ", "comprising" or its any other variant be intended to
Cover including for nonexcludability, so that process, method, article or equipment including a series of key elements not only include those
Key element, but also other key elements including being not expressly set out, or also include for this process, method, article or set
Standby intrinsic key element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that
Also there is other identical element in the process including the key element, method, article or equipment.
The foregoing description of the disclosed embodiments, enables professional and technical personnel in the field to realize or uses the present invention.
Various modifications to these embodiments will be apparent for those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, the present invention
The embodiments shown herein is not intended to be limited to, and is to fit to and principles disclosed herein and features of novelty phase one
The scope most wide for causing.
Claims (10)
1. a kind of electric power meter state evaluating method, it is characterised in that methods described includes：
The load row degree information of collection user each electricity consumption day in N number of continuous electricity consumption day, the N is whole not less than 2
Number；
Each two neighboring use is drawn according to load row degree information each described and mahalanobis distance Likelihood Computation relational expression
The distance measure coefficient of electric day, the mahalanobis distance Likelihood Computation relational expression isIts
In, d is distance measure coefficient, xiIt is the load row degree information of the N-1 electricity consumption day, xjIt is the load row degree letter of n-th electricity consumption day
Breath；
Whether each described distance measure coefficient is judged more than vigilance parameter, if it is, the distance measure coefficient is corresponding
Electricity consumption day is abnormal electricity consumption day, the electric power meter abnormal state of the user；Otherwise, the distance measure coefficient is corresponding
Electricity consumption day is normal electricity consumption day, and the electric power meter state is normal.
2. electric power meter state evaluating method according to claim 1, it is characterised in that load row degree information includes
Positive active peak row degree, the positive active depth of parallelism, positive active paddy row degree, positive idle head office's degree and the idle head office of negative sense
Degree.
3. electric power meter state evaluating method according to claim 2, it is characterised in that the vigilance parameter according to
Vigilance parameter calculation relational expression is calculated.
4. electric power meter state evaluating method according to claim 3, it is characterised in that the vigilance parameter is calculated
Relational expression is the σ of δ=μ+3, wherein, δ represents vigilance parameter, and when continuous n electricity consumption day normal electricity consumption day is, μ represents n institute
The average value of the distance measure coefficient of electricity consumption day is stated, σ represents the n standard deviation of the electricity consumption day, and the n is the integer more than 1.
5. electric power meter state evaluating method according to claim 4, it is characterised in that the n is according to the electricity
The first set-up time of energy metering device determines.
6. electric power meter state evaluating method according to claim 4, it is characterised in that the n is according to the electricity
The repair time of energy metering device determines.
7. the electric power meter state evaluating method according to claim 1-6 any one, it is characterised in that the N
It is 26.
8. a kind of electric power meter state evaluation device, it is characterised in that including：
Collecting unit, the load row degree information for gathering user's each electricity consumption day in N number of continuous electricity consumption day, the N
It is the integer not less than 2；
Computing unit, for according to load row degree information each described and mahalanobis distance Likelihood Computation relational expression draw each adjacent two
The distance measure coefficient of the individual electricity consumption day, the mahalanobis distance Likelihood Computation relational expression is
Wherein, d is distance measure coefficient, xiIt is the load row degree information of the N-1 electricity consumption day, xjIt is the load row degree of n-th electricity consumption day
Information；
Judging unit, for whether judging each described distance measure coefficient more than vigilance parameter, if it is, the distance is surveyed
The corresponding electricity consumption day of degree coefficient is abnormal electricity consumption day, the electric power meter abnormal state of the user；Otherwise, the distance is surveyed
The corresponding electricity consumption day of degree coefficient is normal electricity consumption day, and the electric power meter state is normal.
9. electric power meter state evaluation device according to claim 8, it is characterised in that the load row degree information
It is idle total including positive active peak row degree, the positive active depth of parallelism, positive active paddy row degree, positive idle head office's degree and negative sense
Row degree.
10. a kind of electric power meter status assessing system, it is characterised in that including electric energy meter as claimed in claim 8 or 9
Amount unit state apparatus for evaluating.
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| CN112257576A (en) * | 2020-10-21 | 2021-01-22 | 华北电力大学 | Load switch event detection method and system using Maha distance measure |
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