CN108376346B - User electricity consumption behavior analysis method and device - Google Patents
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Abstract
The invention discloses a method and a device for analyzing power utilization behaviors of users, and belongs to the technical field of electric power. The method comprises the following steps: receiving first electric information sent by monitoring equipment, wherein the first electric information at least comprises voltage, current, power and harmonic of a home line detected by the monitoring equipment; and determining the electricity utilization behavior of the user according to the first electricity utilization information. The problem of serious loss is caused to the electric power company by the abnormal electricity utilization behavior of the user in the prior art is solved, and the effects of avoiding the misjudgment of the power supply company on the future power demand caused by the abnormal electricity utilization behavior of the user, causing serious economic loss to the electric power company and influencing the normal operation of the power network are achieved.
Description
Technical Field
The invention relates to the technical field of electric power, in particular to a method and a device for analyzing user power utilization behaviors.
Background
The electricity consumption behavior of the smart grid refers to the electricity consumption behavior of users (such as residential users, commercial users and the like) in the smart grid.
The electricity consumption behaviors of the smart grid comprise normal electricity consumption behaviors and abnormal electricity consumption behaviors, and the abnormal electricity consumption behaviors in the smart grid can be caused by abnormal states of electricity consumption equipment, such as electricity consumption increase of some equipment due to faults or line aging. The abnormal electricity consumption behavior may cause the misjudgment of the power supply company on the future power demand, cause serious economic loss to the power company, and affect the normal operation of the power network.
Disclosure of Invention
In order to solve the problem that in the prior art, the power company is seriously lost due to abnormal power consumption behaviors of users, the embodiment of the invention provides a method and a device for analyzing the power consumption behaviors of the users. The technical scheme is as follows:
in a first aspect, a method for analyzing power consumption behavior of a user is provided, where the method includes:
receiving first electric information sent by monitoring equipment, wherein the first electric information at least comprises voltage, current, power and harmonic of a home line detected by the monitoring equipment;
and determining the electricity utilization behavior of the user according to the first electricity utilization information.
Optionally, before determining the power utilization behavior of the user according to the first power utilization information, the method further includes:
determining the power increment of the line to the home according to the first power utilization information;
and if the power increment is larger than a preset threshold value, executing the step of determining the electricity utilization behavior of the user according to the first electricity utilization information.
Optionally, the determining the electricity consumption behavior of the user according to the first electricity consumption information includes:
acquiring second electrical information of target electrical equipment according to the first electrical information, wherein the second electrical information comprises harmonic waveform data, power data and voltage-current frequency spectrum data, and the target electrical equipment is the last started electrical equipment in the started electrical equipment of the house;
and determining the equipment type of the target electric equipment according to the second electric information.
Optionally, the determining the device type of the target electrical device according to the second electrical information includes:
calculating a first similarity between any type of the second electrical information and any type of standard data corresponding to each device type;
determining a second similarity between each device type and the target electric device according to the first similarity;
and determining that the target electric equipment belongs to one of the multiple equipment types with the highest second similarity.
Optionally, the determining a second similarity between each device type and the target electrical device according to the first similarity includes:
calculating a second similarity of each device type to the target powered device using the following formula:
η＝n1*p1+n2*p2+n3*p3；
wherein η is a second similarity between each device type and the target electric device, p1 is a first similarity between the harmonic waveform data and the standard data of the harmonic type corresponding to each device type, p2 is a first similarity between the power information and the standard data of the power type corresponding to each device type, p3 is a first similarity between the voltage-current spectrum data and the standard data of the voltage-current spectrum type corresponding to each device type, and n1, n2, and n3 are all preset fixed values.
Optionally, the calculating a first similarity between the second electrical information of any type and the standard data of any type corresponding to each device type includes:
acquiring any type of second electrical information when the target electrical equipment is started, and calculating a first matching degree of the any type of second electrical information and starting standard data corresponding to any type when the target electrical equipment is started;
transient data in the second electrical information of any type is obtained, and a second matching degree of the transient data and the standard transient data of any type is calculated;
acquiring steady-state data in the second electrical information of any type, and calculating a third matching degree of the steady-state data and the standard steady-state data of any type;
and calculating the first similarity according to the first matching degree, the second matching degree and the third matching degree.
Optionally, the acquiring steady-state data in any type of the second electrical information includes:
calculating a fourth matching degree of the power increment and standard starting power corresponding to various equipment types, and acquiring a preset number of equipment types with the highest fourth matching degree in the various equipment types;
obtaining candidate monitoring duration corresponding to each equipment type in the preset number of equipment types, and obtaining a maximum value from the candidate monitoring duration as the monitoring duration;
and acquiring the second electrical information of any type in the monitoring duration after the target electrical equipment enters a steady state to obtain steady state data in the second electrical information of any type.
Optionally, after determining the device type of the target electrical device according to the second electrical information, the method further includes:
if the fact that the power variation in the first power utilization information is higher than the threshold value is not detected, whether the power fluctuation trend of the target electric equipment is matched with an aging state database corresponding to the equipment type of the target electric equipment is detected;
and if so, judging that the target electric equipment is aged.
The technical scheme provided by the embodiment of the invention has the following beneficial effects:
receiving first electric information sent by monitoring equipment, wherein the first electric information at least comprises voltage, current, power and harmonic of a home line detected by the monitoring equipment; and determining the electricity utilization behavior of the user according to the first electricity utilization information. The problem of serious loss is caused to the electric power company by the abnormal electricity utilization behavior of the user in the prior art is solved, and the effects of avoiding the misjudgment of the power supply company on the future power demand caused by the abnormal electricity utilization behavior of the user, causing serious economic loss to the electric power company and influencing the normal operation of the power network are achieved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic structural diagram illustrating a user electricity consumption behavior analysis system according to an exemplary embodiment of the present invention;
FIG. 2 is a flowchart of a method for analyzing a user's power consumption behavior according to an embodiment of the present invention;
fig. 3 is a flowchart for determining a power consumption behavior of a user according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
Fig. 1 is a schematic structural diagram illustrating a user electricity consumption behavior analysis system according to an exemplary embodiment of the present invention, where the system includes a monitoring device 110, a smart meter 120, and a server 130, where:
the monitoring device 110 includes a plurality of sensor components, including a voltage sensor, a current sensor, a power sensor, and a harmonic sensor, for collecting power consumption information of a line in a house, such as voltage, current, power, and harmonic.
The monitoring device 110 is connected to the smart meter 120. Specifically, the monitoring device 110 and the smart meter 120 may be connected to the smart meter 120 through bluetooth, NFC (Near Field Communication), infrared, and other wireless Communication technologies; and can be connected through hardware communication.
Optionally, the smart meter 120 and the server 130 are connected through a wired network or wirelessly. The server 130 may be a master station in a power collection system (or, an existing smart grid).
In practical implementation, in the existing power collection system, one detection device 110 may be connected to the cable side of the intelligent electric energy meter 120.
Referring to fig. 2, a flowchart of a method for analyzing a user electricity consumption behavior according to an embodiment of the present invention is shown, and the present embodiment illustrates that the user electricity consumption behavior analysis method is used in the server shown in fig. 1. As shown in fig. 2, the method for analyzing the electricity consumption behavior of the user may include:
The implementation of this step can be: the monitoring equipment can acquire voltage, current, power and harmonic waves (namely, first electric information) of a line entering a user in real time and send the acquired first electric information to the intelligent electric meter; and the intelligent electric meter sends the first electricity utilization information to the server.
And step 220, the server determines the electricity utilization behavior of the user according to the first electricity utilization information.
Optionally, the determining, by the server, the user power consumption behavior according to the first power consumption information may include: the device type of the last powered device (referred to as the target powered device in this embodiment) of the powered devices of the home is determined, and the device type may be an air conditioner, a television, a microwave oven, an electric lamp, or the like.
The method can be realized by the following two steps:
In step 222, if the power increment is greater than a preset threshold, the server determines the electricity consumption behavior of the user according to the first electricity consumption information.
If the power increase amount of the subscriber line is larger than the preset threshold value, it is indicated that the power increase amount of the subscriber line is caused by the newly started electric equipment (namely, the target electric equipment) in the house, and at this time, the equipment type of the target electric equipment can be determined according to the first electric information.
In practical implementation, if the power increase of the line to the home is continuously higher than the threshold value and reaches the preset time, the switching event of the electric equipment is considered to occur, and the electricity utilization behavior of the user is further determined according to the first electricity information.
In summary, in the method provided in the embodiment of the present invention, first electrical information sent by a monitoring device is received, where the first electrical information at least includes voltage, current, power, and harmonic of a line to the home, which are detected by the monitoring device; and determining the electricity utilization behavior of the user according to the first electricity utilization information. The problem of serious loss is caused to the electric power company by the abnormal electricity utilization behavior of the user in the prior art is solved, and the effects of avoiding the misjudgment of the power supply company on the future power demand caused by the abnormal electricity utilization behavior of the user, causing serious economic loss to the electric power company and influencing the normal operation of the power network are achieved.
In addition, the invention is beneficial to the power supply company to effectively master the power utilization behavior of the user, thereby providing better service for the user, improving the marketing performance of the power supply company and simultaneously being beneficial to lightening the power supply load pressure of the power supply department.
In one example, the implementation of step 240 may be: acquiring second electrical information of the target electrical equipment according to the first electrical information, wherein the second electrical information comprises harmonic waveform data, power data and voltage-current frequency spectrum data; and determining the equipment type of the target electric equipment according to the second electric information.
The obtaining of the second electrical information of the target electrical device according to the first electrical information may be implemented as follows: and subtracting any type of first electricity utilization information at any time after the power variation exceeds the threshold value, and obtaining any type of second electricity utilization information of the target electric equipment before the power variation exceeds the threshold value.
For example, if any type is a power type, the power of the service line before 1s is W1, and the power is W2, then the power consumption information of the power type of the target power consumption device is: W2-W1.
Optionally, the determining the device type of the target electrical device according to the second electrical information may be implemented by: calculating first similarity between the second electrical information of any type and standard data of any type corresponding to each equipment type; determining a second similarity between each equipment type and the target electric equipment according to the first similarity; and determining that the target electric equipment belongs to one of the multiple equipment types with the highest second similarity.
The type of the second electrical information may include a harmonic type, a power type, and a voltage-current spectrum type, and calculating the first similarity between any type of the second electrical information and any type of standard data corresponding to each device type may be implemented by means Q1.
In a mode Q1, any type of second electrical information is obtained when the target electrical equipment is started, and a first matching degree of the any type of second electrical information and starting standard data corresponding to the any type is calculated when the target electrical equipment is started; acquiring transient data in the second electrical information of any type, and calculating a second matching degree of the transient data and the standard transient data of any type; acquiring steady-state data in the second electrical information of any type, and calculating a third matching degree of the steady-state data and standard steady-state data of any type; and calculating a first similarity according to the first matching degree, the second matching degree and the third matching degree.
For example, the any type is a power type, and the standard data of the power type corresponding to each device type may be power data when the device type is started. For example, the standard data of the power type corresponding to the fan type may be power data when the fan is started, may be a power value, or may be a range of power values.
For example, the following formula may be used to calculate the first matching degree between the power information of the target electric device and the standard data of the power type corresponding to each device type:
S1＝(P1-P0)/P1；
where P1 is power information of the target electrical device, the standard data of the power type corresponding to each device type is P0, and S1 is a first similarity between the power information of the target electrical device and the standard data of the power type corresponding to each device type.
The points to be explained are: when transient data in the second electrical information of the harmonic type is acquired, and a second matching degree of the transient data and the standard transient data of the harmonic type is calculated, a waveform diagram related to time is generated according to the transient data of the harmonic type, the second matching degree of the waveform diagram and the standard waveform diagram generated according to the standard transient data of the harmonic type is calculated, and the calculation of the first matching degree and the third matching degree corresponding to the harmonic type can be realized by referring to the above modes, and the details are not repeated here.
The points to be explained are: when transient data in the second electrical information of the voltage-current spectrum type is acquired, and a second matching degree of the transient data and the standard transient data of the voltage-current spectrum type is calculated, a frequency spectrogram related to frequency is generated according to the voltage transient data and the current transient data of the voltage-current spectrum type, the second matching degree of the frequency spectrogram and the standard frequency spectrogram generated according to the standard transient data of the voltage-current spectrum type is calculated, and the calculation of the first matching degree and the third matching degree corresponding to the voltage-current spectrum type can be realized by referring to the above modes, and is not repeated here.
In one example, the obtaining of the transient data in the second electrical information of any type may be implemented by: calculating a fourth matching degree of the power increment and standard starting power corresponding to various equipment types, and acquiring a preset number of equipment types with the highest fourth matching degree in the various equipment types; obtaining candidate monitoring duration corresponding to each equipment type in the preset number of equipment types, and obtaining a maximum value from the candidate monitoring duration as the monitoring duration; and acquiring the second electrical information of any type within the monitoring duration after the target electrical equipment enters the steady state to obtain steady state data in the second electrical information of any type.
Through collecting transient state information and steady state information, more comprehensive electrical appliance parameters are obtained, and a better identification effect is achieved.
In one example, the second similarity of each device type to the target powered device is calculated using the following formula:
η＝n1*p1+n2*p2+n3*p3；
wherein η is a second similarity between each device type and the target electric device, p1 is a first similarity between harmonic waveform data of the target electric device and standard data of a harmonic type corresponding to each device type, p2 is a first similarity between power information of the target electric device and standard data of a power type corresponding to each device type, p3 is a first similarity between voltage-current spectrum data of the target electric device and standard data of a voltage-current spectrum type corresponding to each device type, and n1, n2 and n3 are all preset fixed values.
In one example, if it is not detected that the power variation in the first power information is higher than a threshold value, and it is detected that the power variation exceeds a fluctuation threshold value (the fluctuation threshold value is higher than the threshold value), it is detected whether the power fluctuation trend of the target electrical equipment matches an aging state database corresponding to the equipment type of the target electrical equipment; and if so, judging that the target electric equipment is aged.
An embodiment of the present invention further provides a computer-readable storage medium, in which one or more instructions are stored, and when executed by a processor in a server, the one or more instructions implement the method for analyzing the power consumption behavior of the user according to any of the above embodiments.
An embodiment of the present invention further provides a device for analyzing power consumption behavior of a user, where the device includes: a memory and a processor; at least one program instruction is stored in the memory; the processor is used for realizing the user electricity consumption behavior analysis method in any one of the above embodiments by loading and executing the at least one program instruction.
The terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying a number of the indicated technical features. Thus, a defined feature of "first", "second", may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless otherwise specified.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (6)
1. A method for analyzing power consumption behaviors of a user is characterized by comprising the following steps:
receiving first electric information sent by monitoring equipment, wherein the first electric information at least comprises voltage, current, power and harmonic of a home line detected by the monitoring equipment;
determining a user electricity utilization behavior according to the first electricity utilization information;
before determining the user electricity consumption behavior according to the first electricity consumption information, the method further comprises:
determining the power increment of the line to the home according to the first power utilization information;
if the power increment is larger than a preset threshold value, executing the step of determining the electricity utilization behavior of the user according to the first electricity utilization information;
the determining the user electricity consumption behavior according to the first electricity consumption information comprises:
acquiring second electrical information of target electrical equipment according to the first electrical information, wherein the second electrical information comprises harmonic waveform data, power data and voltage-current frequency spectrum data, and the target electrical equipment is the last started electrical equipment in the started electrical equipment of the house;
determining the equipment type of the target electric equipment according to the second electric information;
the obtaining of the second electrical information of the target electrical equipment according to the first electrical information specifically includes:
subtracting any type of first electricity utilization information at any time after the power variation exceeds the threshold value, and obtaining any type of second electricity utilization information of the target electric equipment before the power variation exceeds the threshold value;
after determining the device type of the target powered device according to the second electrical information, the method further includes:
if the fact that the power variation in the first power utilization information is higher than the threshold value is not detected, whether the power fluctuation trend of the target electric equipment is matched with an aging state database corresponding to the equipment type of the target electric equipment is detected;
and if so, judging that the target electric equipment is aged.
2. The method of claim 1, wherein the determining the device type of the target powered device from the second electrical information comprises:
calculating a first similarity between any type of second electrical information and any type of standard data corresponding to each equipment type;
determining a second similarity between each device type and the target electric device according to the first similarity;
and determining that the target electric equipment belongs to one of multiple equipment types with the highest second similarity.
3. The method according to claim 2, wherein the determining a second similarity of each device type to the target powered device according to the first similarity comprises:
calculating a second similarity of each device type to the target powered device using the following formula:
η＝n1*p1+n2*p2+n3*p3；
wherein η is a second similarity between each device type and the target electric device, p1 is a first similarity between the harmonic waveform data and the standard data of the harmonic type corresponding to each device type, p2 is a first similarity between power information and the standard data of the power type corresponding to each device type, p3 is a first similarity between the voltage-current spectrum data and the standard data of the voltage-current spectrum type corresponding to each device type, and n1, n2, and n3 are all preset fixed values.
4. The method according to claim 3, wherein the calculating a first similarity between the second electrical information of any type and the standard data of any type corresponding to each device type comprises:
acquiring any type of second electrical information when the target electrical equipment is started, and calculating a first matching degree of the any type of second electrical information and starting standard data corresponding to any type when the target electrical equipment is started;
transient data in the second electrical information of any type is obtained, and a second matching degree of the transient data and the standard transient data of any type is calculated;
acquiring steady-state data in the second electrical information of any type, and calculating a third matching degree of the steady-state data and the standard steady-state data of any type;
and calculating the first similarity according to the first matching degree, the second matching degree and the third matching degree.
5. The method according to claim 4, wherein the acquiring steady state data in the second electrical information of any type comprises:
calculating a fourth matching degree of the power increment and standard starting power corresponding to various equipment types, and acquiring a preset number of equipment types with the highest fourth matching degree in the various equipment types;
obtaining candidate monitoring duration corresponding to each equipment type in the preset number of equipment types, and obtaining a maximum value from the candidate monitoring duration as the monitoring duration;
and acquiring the second electrical information of any type in the monitoring duration after the target electrical equipment enters a steady state to obtain steady state data in the second electrical information of any type.
6. A user electricity consumption behavior analysis apparatus, characterized in that the apparatus comprises:
a memory and a processor;
at least one program instruction is stored in the memory;
the processor, which is used for implementing the user electricity consumption behavior analysis method according to any one of claims 1 to 5 by loading and executing the at least one program instruction.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105067857A (en) * | 2015-08-21 | 2015-11-18 | 南方电网科学研究院有限责任公司 | Electricity consumption information acquisition system and analysis method |
| CN105186693A (en) * | 2015-09-28 | 2015-12-23 | 南方电网科学研究院有限责任公司 | Non-invasive electrical load identification system and method |
| CN106443244A (en) * | 2016-08-31 | 2017-02-22 | 南方电网科学研究院有限责任公司 | Electric equipment type identification method and system |
| CN107505518A (en) * | 2017-07-22 | 2017-12-22 | 华映科技（集团）股份有限公司 | Electrical equipment aging assessment based on device current ID |
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| KR20140132523A (en) * | 2013-05-08 | 2014-11-18 | 삼성전자주식회사 | Non-intrusive load monitoring apparatus and method |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105067857A (en) * | 2015-08-21 | 2015-11-18 | 南方电网科学研究院有限责任公司 | Electricity consumption information acquisition system and analysis method |
| CN105186693A (en) * | 2015-09-28 | 2015-12-23 | 南方电网科学研究院有限责任公司 | Non-invasive electrical load identification system and method |
| CN106443244A (en) * | 2016-08-31 | 2017-02-22 | 南方电网科学研究院有限责任公司 | Electric equipment type identification method and system |
| CN107505518A (en) * | 2017-07-22 | 2017-12-22 | 华映科技（集团）股份有限公司 | Electrical equipment aging assessment based on device current ID |
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