CN113533895A - Abnormal electricity utilization judgment method and device based on three-phase three-wire circuit load curve - Google Patents
Abnormal electricity utilization judgment method and device based on three-phase three-wire circuit load curve Download PDFInfo
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Abstract
The invention discloses an abnormal electricity utilization judging method and device based on a three-phase three-wire circuit load curve, wherein the abnormal electricity utilization judging method comprises the following steps: the suspected abnormal data in the electricity consumption data are obtained, and the suspected abnormal data meet the following conditions: in the working state, each phase current is greater than a current climbing threshold value, the phase current of the current time point in each phase current is greater than the phase current of the previous time point, and the difference between the fast phase current of the current time point and the fast phase current of the previous time point is greater than the slow phase current of the current time point; calculating the area difference formed by a fast-phase current curve and a slow-phase current curve in the suspected abnormal data; and if the area difference is larger than the first threshold and the maximum value of the fast-phase current of the section is larger than the maximum current threshold, judging the power utilization abnormal data. By adopting the method and the device, suspected abnormal data are screened through setting conditions, the positioning range of abnormal power utilization is narrowed, the power utilization abnormality is judged by comparing the calculated fast and slow phase current area difference with the first threshold, and the accuracy of abnormal power utilization identification is improved.
Description
Technical Field
The invention relates to the technical field of power monitoring, in particular to a method and a device for judging abnormal power utilization based on a three-phase three-wire circuit load curve.
Background
Along with the popularization of intelligent electric energy meters, the complexity of electricity utilization conditions is increased, and the trend of concealment and science and technology of abnormal electricity utilization behaviors also appears. The power supply line is illegally changed, the metering device is artificially damaged, the power supply and utilization safety of the power grid is threatened, and the demand of online intelligent identification of power utilization abnormity is increased day by day. At present, power grid departments in various provinces carry out work aiming at power utilization abnormity, and the power utilization abnormity phenomenon is generally judged according to the latest judgment rule of online monitoring of metering abnormity of the state grid.
Aiming at three-phase three-wire users, the current state network generally adopts a current three-phase imbalance identification model, and the abnormal identification of the electricity users is identified by calculating the imbalance rate of the three-phase current of the users, which specifically comprises the following steps:
current imbalance rate:
Ia、Ib、Icthe values K define threshold values for the current imbalance, typically set at 50%.
And under the condition that the absolute value of each phase current is greater than 0, calculating the current imbalance rate according to the maximum value-minimum value/maximum value of the three-phase current, and judging whether the phase current is out of limit or not. In the judging method, due to voltage fluctuation in part of production and single-phase load unbalance, three-phase current unbalance is caused, the hit rate of power utilization abnormity identification based on the current unbalance is reduced, and errors are caused by the fact that the ratio ignores the influence of dimensions.
Disclosure of Invention
The invention provides an abnormal electricity utilization judging method and device based on a three-phase three-wire circuit load curve, which are used for solving the problems that three-phase current imbalance is caused by identifying electricity utilization abnormality by adopting a method for calculating a current imbalance rate by a current three-phase imbalance identification model in the prior art, the hit rate of abnormal identification is reduced, and identification errors are formed.
According to the embodiment of the first aspect of the invention, the abnormal electricity utilization judging method based on the three-phase three-wire circuit load curve comprises the following steps:
the method comprises the following steps of obtaining suspected abnormal data in electricity consumption data, wherein the suspected abnormal data meet the following conditions: in the working state, each phase current is greater than a current climbing threshold value, the phase current of the current time point in each phase current is greater than the phase current of the previous time point, and the difference between the fast phase current of the current time point and the fast phase current of the previous time point is greater than the slow phase current of the current time point;
calculating the area difference formed by the fast-phase current curve section and the slow-phase current curve section in the suspected abnormal data in the three-phase three-wire circuit load curve;
and if the area difference is larger than a first threshold value and the maximum value of the fast-phase current in the suspected abnormal data is larger than a maximum current threshold value, determining that the suspected abnormal data is abnormal power utilization data.
According to some embodiments of the invention, the operating state in which the phase current is greater than the current ramp threshold comprises: the time length of each phase current which is greater than the current ramp threshold value is greater than a time threshold value.
According to some embodiments of the invention, the method further comprises: and performing smoothing processing on the suspected abnormal data before calculating the area difference.
According to some embodiments of the invention, the suspected anomaly data further satisfies:
ratio I of maximum slow-phase current to maximum fast-phase currentsmax/IfmaxLess than the fast-slow phase similarity threshold.
According to some embodiments of the invention, the suspected anomaly data further satisfies:
current I at each phase pointnSubtracting the value of the average value I 'of each phase current, and the phase point number of which the ratio to the I' is less than the threshold value of the fluctuation rate, wherein the ratio of the total phase point number is less than or equal to the threshold value of the similarity of the fast phase and the slow phase.
The abnormal electricity utilization judging device based on the three-phase three-wire circuit load curve according to the second aspect of the invention comprises:
the data acquisition module is used for acquiring suspected abnormal data in the electricity consumption data, wherein the suspected abnormal data meet the following conditions: in the working state, each phase current is greater than a current climbing threshold value, the phase current of the current time point in each phase current is greater than the phase current of the previous time point, and the difference between the fast phase current of the current time point and the fast phase current of the previous time point is greater than the slow phase current of the current time point;
the data calculation module is used for calculating the area difference formed by a fast-phase current curve section and a slow-phase current curve section in the suspected abnormal data in a three-phase three-wire circuit load curve;
and the data judgment module is used for judging the area difference obtained by the calculation of the data calculation module and the first threshold value, and judging that the suspected abnormal data is abnormal power utilization data if the maximum value of the fast-phase current in the suspected abnormal data is greater than the maximum current threshold value.
According to some embodiments of the invention, the suspected abnormal data acquired by the data acquisition module further satisfies: the time length of each phase current which is greater than the current ramp threshold value is greater than a time threshold value.
According to some embodiments of the invention, the data obtaining module is further configured to smooth the suspected abnormal data before calculating the area difference.
According to some embodiments of the invention, the suspected abnormal data acquired by the data acquisition module further satisfies:
ratio I of maximum slow-phase current to maximum fast-phase currentsmax/IfmaxLess than the fast-slow phase similarity threshold.
According to some embodiments of the invention, the suspected abnormal data acquired by the data acquisition module further satisfies:
current I at each phase pointnSubtracting the value of the average value I 'of each phase current, and the phase point number of which the ratio to the I' is less than the threshold value of the fluctuation rate, wherein the ratio of the total phase point number is less than or equal to the threshold value of the similarity of the fast phase and the slow phase.
By adopting the embodiment of the invention, the suspected abnormal data meeting the conditions are obtained firstly, and then the suspected abnormal data are subjected to abnormal identification, so that the positioning range of abnormal electricity utilization is narrowed, the accuracy of the abnormal electricity utilization identification is improved, and the work difficulty and the work load of field check are reduced.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. In the drawings:
fig. 1 is a schematic flow chart of an abnormal electricity consumption determination method in an embodiment of the first aspect of the present invention;
fig. 2 is a schematic structural diagram of an abnormal electricity utilization determination apparatus according to a second embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
According to the abnormal electricity utilization judging method based on the three-phase three-wire circuit load curve of the first aspect of the invention, as shown in fig. 1, the method comprises the following steps:
s1, suspected abnormal data in the electricity consumption data are obtained, and the suspected abnormal data meet the following conditions: in the working state, each phase current is greater than a current climbing threshold value, the phase current of the current time point in each phase current is greater than the phase current of the previous time point, and the difference between the fast phase current of the current time point and the fast phase current of the previous time point is greater than the slow phase current of the current time point;
s2, calculating the area difference formed by the fast-phase current curve section and the slow-phase current curve section in the suspected abnormal data in the three-phase three-wire circuit load curve;
here, it should be noted that the area constructed by the curve segment is: the mapping points of the head end point m1 and the tail end point m2 of the curve section on the x axis are x1 and x2, the connecting line of the point m1 and the point x1 is a first straight line section, the connecting line of the point m2 and the point x2 is a second straight line section, the connecting line of the point x1 and the point x2 is a third straight line section, and the area of a closed graph formed by the first straight line section, the second straight line section, the third straight line section and the curve section.
And S3, if the area difference is larger than a first threshold value, and the maximum value of the fast-phase current in the suspected abnormal data is larger than a maximum current threshold value, determining that the suspected abnormal data is abnormal power consumption data.
By adopting the embodiment of the invention, the suspected abnormal data meeting the conditions are obtained firstly, and then the suspected abnormal data are subjected to abnormal identification by calculating the difference of the current areas of the fast phase and the slow phase, so that the positioning range of abnormal electricity utilization is narrowed, the accuracy of the abnormal electricity utilization identification is improved, and the work difficulty and the work load of field check are reduced.
On the basis of the above-described embodiment, various modified embodiments are further proposed, and it is to be noted herein that, in order to make the description brief, only the differences from the above-described embodiment are described in the various modified embodiments.
According to some embodiments of the invention, the first threshold K is4May vary according to different electricity usage scenarios, e.g., in some embodiments of the invention, the first threshold K4Can be set to K4=0.5。
According to some embodiments of the invention, the current maximum threshold K5May vary according to different electricity usage scenarios, e.g., in some embodiments of the invention, the current maximum threshold K5Can be set to K5=0.6。
According to some embodiments of the invention, the current ramp threshold K6The current ramp threshold K may be varied according to different power usage scenarios, for example, in some embodiments of the present invention6Can be set to K6﹥3。
According to some embodiments of the present invention, the portion of the data obtained from the electricity data, in which the current of each phase is greater than the current climbing threshold in the working state, is selected by using a method of drawing a line in a load graph, where the line drawn in the load graph represents the current climbing threshold, and the load curve exceeding the line-drawn portion is the portion of the data, in which the current of each phase is greater than the current climbing threshold in the working state.
According to some embodiments of the present invention, a high load determination is also required before scribing is performed, and the operating current I is selectedworkThe current in the operating state is obtained according to the following formula:
Iwork=95% quantile [ max (I)AB，ICB）]Wherein, 95% quantile points represent that the values of the current quantile points in A, B phase currents are arranged from zero to the maximum value in sequence, and the values of the first 95% quantile points are selected.
Selecting I > TgworkThe part of the data is used as power utilization data for subsequently acquiring suspected abnormal data.
According to some embodiments of the present invention, an area difference between the fast-phase current curve section and the slow-phase current curve section in the suspected abnormal data is calculated by the following formula:
in which IfDenotes the fast phase current, IsRepresenting the slow phase current.
According to some embodiments of the invention, the operating state in which the phase current is greater than the current ramp threshold comprises: the time length of each phase current which is greater than the current ramp threshold value is greater than a time threshold value n. The length of the data points that continuously satisfy the exception condition can be calculated according to the data point index positions, a window with a length greater than n unit durations is selected, n > 8 is set in the embodiment, and each unit duration is 15 min. Setting the condition that the time length of each phase current greater than the current ramp threshold is greater than the time threshold can avoid the acquisition error of suspected abnormal data caused by the rise of the current formed in a short time.
According to some embodiments of the invention, the method further comprises: and performing smoothing processing on the suspected abnormal data before calculating the area difference. The smoothing process represents: in a suspected abnormal data curve obtained after the load curve graph is scribed, although the total current is in a rising trend, the part contains a plurality of data with small current fluctuation, and the plurality of data with current fluctuation are modified into a smooth rising curve, so that the interference of a plurality of abnormal points can be removed.
According to some embodiments of the invention, the suspected anomaly data further satisfies:
ratio I of maximum slow-phase current to maximum fast-phase currentsmax/IfmaxLess than the fast-slow phase similarity threshold. And the data which do not meet the condition are removed, so that some interference data with similar curves of the fast-phase current and the slow-phase current can be eliminated, and the accuracy of judging abnormal electricity utilization is improved.
According to some embodiments of the invention, the fast and slow similarity threshold K is2Can be changed according to different electricity utilization scenes, e.g. setting K2﹥0.8。
According to some embodiments of the invention, the suspected anomaly data further satisfies:
current I at each phase pointnSubtracting the value of the average value I 'of each phase current, and the phase point number of which the ratio to the I' is less than the threshold value of the fluctuation rate, wherein the ratio of the total phase point number is less than or equal to the threshold value of the similarity of the fast phase and the slow phase.
And removing the data curve which does not meet the conditions in the fast and slow phase currents, eliminating the interference data in the data and improving the accuracy of judging abnormal power utilization.
According to some embodiments of the invention, the volatility threshold K is3Reflecting the allowable range of fluctuation of each phase point, e.g. setting K3Tg is 0.4, the fluctuation ratio is threshold K3Can be changed according to different power utilization scenes.
The method for judging abnormal electricity utilization based on the load curve of the three-phase three-wire circuit is described in detail by a specific embodiment. It is to be understood that the following description is illustrative only and is not intended to be in any way limiting. All similar structures and similar variations thereof adopted by the invention are intended to fall within the scope of the invention.
According to the three-phase three-wire user load rule, the current effective rising window is selected, under the normal condition, no matter the production period and the living period, the power AC phase curves are approximately equal or different but basically consistent in trend, if the curve mode different from the two conditions appears, the current climbing is judged to be abnormal, and the abnormal power utilization phenomenon is considered to possibly exist.
Firstly, a high load judgment is carried out, and the working current I is selected according to the following formulawork：
Iwork=95% quantile [ max (I)AB，ICB）]Wherein, 95% quantile point means that the values of current quantiles in A, B phase currents are arranged from zero to the maximum value in sequence, and the value of the first 95% quantile point is selected.
Selecting the value over I & gt I by scribingworkUnder the condition that the current load data is in a working state, the load curve chart is larger than the current climbing threshold value K6Part of (e), e.g. K6And > 3. And the length continuously satisfying the abnormal condition can be calculated according to the data point index position, for example, data with the length continuously satisfying the abnormal condition being greater than 8 unit time lengths is selected, and each unit time length is 15 min.
And in the data obtained after scribing, the phase current containing the maximum current value is recorded as the fast phase current, and the other item is recorded as the slow phase current.
And carrying out smoothing treatment on the suspected abnormal data. The smoothing process represents: in a suspected abnormal data curve obtained after the load curve graph is scribed, although the total current is in a rising trend, the part contains a plurality of data with small current fluctuation, and the plurality of data with current fluctuation are modified into a smooth rising curve, so that the interference of a plurality of abnormal points can be removed.
After the smoothing processing is finished, the interference item is removed, but the data that the load current is always increased is found, namely the phase current of the current time point in the composite phase currents is larger than the phase current of the previous time point, and the difference between the fast phase current of the current time point and the fast phase current of the previous time point is larger than the slow phase current of the current time point.
The logic above has satisfied the detection condition of the current rising data, and because it needs to search for the abnormal curve of the current climbing, if the curve with small phase difference between fast and slow phases should be removed as the interference item, the following judgment condition is added:
ratio I of maximum slow-phase current to maximum fast-phase currentsmax/IfmaxSetting a fast and slow phase similarity threshold K smaller than the fast and slow phase similarity threshold2﹥0.8。
And the data which do not meet the condition are removed, so that some interference data with similar curves of the fast-phase current and the slow-phase current can be eliminated, and the accuracy of judging abnormal electricity utilization is improved.
And then removing the interference data meeting the following conditions:
current I at each phase pointnSubtracting the value of the average value I 'of each phase current, and the number of phase points of which the ratio to the I' is smaller than the threshold value of the fluctuation rate, wherein the ratio of the total number of the phase points is larger than the threshold value K of the similarity of the fast phase and the slow phase2. Setting a volatility threshold K3﹥0.4。
Finally, according to
Calculating the area difference formed by the fast phase current curve section and the slow phase current curve section, wherein IfRepresenting the fast phase current and Is representing the slow phase current. If the area difference is larger than a first threshold value K4Is set to K4=0.5, and the maximum value of the fast-phase current in the suspected abnormal data is greater than the maximum current threshold value K5Is set to K5If =6, it is determined that the suspected abnormal data is abnormal power consumption data.
By adopting the technical scheme in the embodiment, the suspected abnormal data are screened out by finding out the suspected abnormal conditions, the positioning range of abnormal power consumption is narrowed, the area difference of the fast and slow phase current in the suspected abnormal data is calculated according to the area difference calculation formula, and whether the suspected abnormal data is abnormal in power consumption or not is judged by comparing the area difference with the first threshold. The accuracy of abnormal electricity utilization identification is improved, and the work difficulty and the work load of field inspection are reduced.
It should be noted that the above-mentioned embodiments are merely preferred embodiments of the present invention, and the present invention is not limited thereto, and those skilled in the art can make various modifications and changes, and various embodiments can be freely combined. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
An embodiment of a second aspect of the present invention provides an abnormal electricity utilization determining apparatus based on a three-phase three-wire circuit load curve, as shown in fig. 2, including:
the data acquisition module is used for acquiring suspected abnormal data in the electricity consumption data, wherein the suspected abnormal data meet the following conditions: in the working state, each phase current is greater than a current climbing threshold value, the phase current of the current time point in each phase current is greater than the phase current of the previous time point, the difference between the current time point and the fast phase current of the previous time point is greater than the slow phase current of the current time point, and the maximum value of the current is greater than the maximum current threshold value;
the data calculation module is used for calculating the area difference formed by the fast-phase current curve section and the slow-phase current curve section in the suspected abnormal data acquired by the data acquisition module in the three-phase three-wire circuit load curve;
and the data judgment module is used for judging the size of the area difference obtained by the data calculation module and a first threshold, and if the area difference is larger than the first threshold and the maximum value of the fast-phase current in the suspected abnormal data is larger than the maximum current threshold, judging the suspected abnormal data as abnormal power utilization data.
By adopting the scheme provided by the embodiment, the data acquisition module is used for acquiring the suspected abnormal data according to the relevant conditions, so that the positioning range of abnormal power utilization is narrowed. And finally, comparing the calculated area difference with a first threshold value by using a data judgment module so as to judge whether abnormal power utilization exists or not. The accuracy of abnormal electricity utilization identification is improved, and the work difficulty and the work load of field inspection are reduced.
According to some embodiments of the invention, the suspected abnormal data acquired by the data acquisition module further satisfies: the time length of each phase current which is greater than the current ramp threshold value is greater than a time threshold value.
According to some embodiments of the invention, the data obtaining module is further configured to smooth the suspected abnormal data before calculating the area difference. The smoothing process represents: in a suspected abnormal data curve obtained after the load curve graph is scribed, although the total current is in a rising trend, the part contains a plurality of data with small current fluctuation, and the plurality of data with current fluctuation are modified into a smooth rising curve, so that the interference of a plurality of abnormal points can be removed.
According to some embodiments of the invention, the suspected abnormal data acquired by the data acquisition module further satisfies:
ratio I of maximum slow-phase current to maximum fast-phase currentsmax/IfmaxLess than the fast-slow phase similarity threshold.
According to some embodiments of the invention, the suspected abnormal data acquired by the data acquisition module further satisfies:
current I at each phase pointnSubtracting the value of the average value I 'of each phase current, and the number of phase points of which the ratio to the I' is less than the threshold value of the fluctuation rate, wherein the ratio of the total number of the phase points is less than or equal to the threshold value K of the similarity of the fast phase and the slow phase2。
By adopting the abnormal electricity utilization judging device provided by the invention, the data acquisition module is used for acquiring suspected abnormal data according to related conditions, part of interference data is eliminated, and the positioning range of abnormal electricity utilization is narrowed. And finally, comparing the calculated area difference with a first threshold value by using a data judgment module so as to judge whether abnormal power utilization exists or not. The accuracy of abnormal electricity utilization identification is improved, and the work difficulty and the work load of field inspection are reduced.
It should be noted that well-known methods, structures and techniques have not been shown in detail in the description of the specification in order not to obscure the understanding of this description.
Claims (10)
1. An abnormal electricity utilization judgment method based on a three-phase three-wire circuit load curve is characterized by comprising the following steps:
the method comprises the following steps of obtaining suspected abnormal data in electricity consumption data, wherein the suspected abnormal data meet the following conditions: in the working state, each phase current is greater than a current climbing threshold value, the phase current of the current time point in each phase current is greater than the phase current of the previous time point, and the difference between the fast phase current of the current time point and the fast phase current of the previous time point is greater than the slow phase current of the current time point;
calculating the area difference formed by the fast-phase current curve section and the slow-phase current curve section in the suspected abnormal data in the three-phase three-wire circuit load curve;
and if the area difference is larger than a first threshold value and the maximum value of the fast-phase current in the suspected abnormal data is larger than a maximum current threshold value, determining that the suspected abnormal data is abnormal power utilization data.
2. The method of claim 1, wherein the operating state phase current is greater than a current ramp threshold, comprising: the time length of each phase current which is greater than the current ramp threshold value is greater than a time threshold value.
3. The method of claim 1, wherein the method further comprises: and performing smoothing processing on the suspected abnormal data before calculating the area difference.
4. The method of claim 1, wherein the suspected anomaly data further satisfies:
ratio I of maximum slow-phase current to maximum fast-phase currentsmax/IfmaxLess than the fast-slow phase similarity threshold.
5. The method of claim 4, wherein the suspected anomaly data further satisfies:
current I at each phase pointnSubtracting each phaseThe ratio of the value of the current mean value I 'to the I' is smaller than the phase points of the fluctuation rate threshold, and the ratio of the total phase points is smaller than or equal to the fast-slow phase similarity threshold.
6. The utility model provides an unusual power consumption judgement device based on three-phase three-wire circuit load curve which characterized in that includes:
the data acquisition module is used for acquiring suspected abnormal data in the electricity consumption data, wherein the suspected abnormal data meet the following conditions: in the working state, each phase current is greater than a current climbing threshold value, the phase current of the current time point in each phase current is greater than the phase current of the previous time point, and the difference between the fast phase current of the current time point and the fast phase current of the previous time point is greater than the slow phase current of the current time point;
the data calculation module is used for calculating the area difference formed by a fast-phase current curve section and a slow-phase current curve section in the suspected abnormal data in a three-phase three-wire circuit load curve;
and the data judgment module is used for judging the size of the area difference obtained by the data calculation module and a first threshold, and if the area difference is larger than the first threshold and the maximum value of the fast-phase current in the suspected abnormal data is larger than the maximum current threshold, judging the suspected abnormal data as abnormal power utilization data.
7. The apparatus of claim 6, wherein the suspected anomaly data obtained by the data obtaining module further satisfies: the time length of each phase current which is greater than the current ramp threshold value is greater than a time threshold value.
8. The apparatus of claim 6, wherein the data acquisition module is further configured to smooth the suspected anomaly data prior to calculating the area difference.
9. The apparatus of claim 6, wherein the suspected anomaly data obtained by the data obtaining module further satisfies:
slow phase currentRatio I of maximum value to maximum value of fast phase currentsmax/IfmaxLess than the fast-slow phase similarity threshold.
10. The apparatus of claim 9, wherein the suspected anomaly data obtained by the data obtaining module further satisfies:
current I at each phase pointnSubtracting the value of the average value I 'of each phase current, and the phase point number of which the ratio to the I' is less than the threshold value of the fluctuation rate, wherein the ratio of the total phase point number is less than or equal to the threshold value of the similarity of the fast phase and the slow phase.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115291024A (en) * | 2022-09-28 | 2022-11-04 | 广东电网有限责任公司中山供电局 | Client abnormity identification method, system, equipment and medium |
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