CN115494347A - Method, device, equipment and storage medium for confirming abnormal power utilization users in transformer area - Google Patents
Method, device, equipment and storage medium for confirming abnormal power utilization users in transformer area Download PDFInfo
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Abstract
The invention discloses a method, a device, equipment and a storage medium for confirming users with abnormal power utilization in a transformer area. The method for confirming the abnormal power utilization users in the transformer area comprises the following steps: acquiring user electric quantity data and station area electric quantity data of each user in a station area of a power distribution network; calculating the distribution area line loss of the distribution network distribution area based on the user electric quantity data and the distribution area electric quantity data; grouping users based on the correlation between the user electric quantity data and the line loss of the transformer area to obtain a positive correlation group, a negative correlation group, a low electric quantity group and other user groups; and determining the abnormal electricity utilization groups in the positive correlation group, the negative correlation group, the low electricity utilization group and the rest user groups as electricity stealing groups based on the correlation coefficients of the positive correlation group and the negative correlation group and the line loss of the transformer area respectively. The abnormal group of the user is determined to be used as the electricity stealing group based on the correlation coefficient of the group and the line loss of the transformer area, and key troubleshooting is carried out, so that the workload of troubleshooting on the electricity stealing users in the transformer area is effectively reduced, and the troubleshooting efficiency of the electricity stealing users is improved.
Description
Technical Field
The invention relates to the technical field of power distribution network power consumption abnormity confirmation, in particular to a method, a device, equipment and a storage medium for confirming users with abnormal power consumption in a transformer area.
Background
The electricity stealing means the behavior that electric energy is occupied by an illegal means to achieve the purpose of paying no or less electricity charges, and electricity is not metered or is metered less by the illegal means. The electricity stealing behavior influences the normal operation of a power grid, the power supply equipment can be damaged to a certain extent, the power supply equipment cannot work normally, the power supply equipment is overloaded due to refitting, and large-scale power failure of the region governed by the power distribution station is easily caused.
When the line loss in the distribution network area is in an abnormal high loss state, the metering fault or electricity stealing is possible. And because the metering automation system only collects the electric quantity data of the electric meter and partial voltage and current data of the user for the low-voltage users in the transformer area, suspected users are difficult to find out from data analysis, and the existing electricity stealing prevention equipment can only find abnormal users with specific characteristics and has monitoring blind areas. At the moment, maintenance and overhaul personnel are needed to patrol all the circuits and power supply enterprise electricity metering devices in the transformer area, so that the users who steal electricity or electricity stealing points can be finally determined, a large amount of human resources are needed to be consumed, and the users who steal electricity only in part of time can be detected.
Disclosure of Invention
The invention provides a method, a device, equipment and a storage medium for confirming users with abnormal power utilization in a distribution area, which are used for solving the problem that the users with abnormal power utilization in the distribution network are difficult to determine.
According to an aspect of the present invention, there is provided a method for confirming a user with abnormal power consumption in a distribution area, including:
acquiring user electric quantity data and distribution area electric quantity data of each user in a distribution network distribution area;
calculating the transformer area line loss of the distribution network transformer area based on the user electric quantity data and the transformer area electric quantity data;
grouping the users based on the correlation between the user electric quantity data and the line loss of the transformer area to obtain a positive correlation group, a negative correlation group, a low electric quantity group and other user groups;
and determining that the group with abnormal power consumption in the positive correlation group, the negative correlation group, the low power consumption group and the rest user group is a power stealing group based on the correlation coefficients of the positive correlation group and the negative correlation group with the line loss of the distribution room respectively.
Optionally, calculating the distribution area line loss of the distribution network distribution area based on the user electric quantity data and the distribution area electric quantity data includes:
calculating the sum of the user electric quantity data to obtain the user total electric quantity data;
and calculating the distribution area line loss of the distribution network distribution area based on the distribution area electric quantity data and the user total electric quantity data.
Optionally, the grouping the users based on the correlation between the user electricity data and the line loss of the distribution room, to obtain a positive correlation group, a negative correlation group, a low electricity consumption group, and other user groups includes:
calculating the user electric quantity data combination which is in positive correlation with the line loss of the transformer area and is optimal, and taking the user electric quantity data combination as positive correlation optimal data;
taking the user corresponding to the positive correlation optimal data as a positive correlation group;
calculating the user electric quantity data combination which is negatively correlated and optimal with the line loss of the transformer area to serve as negatively correlated and optimal data;
taking the user corresponding to the negative correlation optimal data as a negative correlation group;
determining the user electric quantity data corresponding to the users except the positive correlation group and the negative correlation group as first residual electric quantity data;
calculating the user electricity quantity data combination smaller than a preset electricity consumption threshold value in the first residual electricity quantity data to serve as a low electricity consumption data combination;
grouping the users other than the positive correlation group, the negative correlation group, and the low power consumption group as remaining users.
Optionally, the calculating the user power data combination with the optimal positive correlation with the distribution room line loss as the optimal positive correlation data includes:
creating a first temporary packet;
sequentially calling the user electric quantity data outside the first temporary group into the first temporary group, and calculating the positive correlation between the user electric quantity data in the first temporary group after calling and the line loss of the transformer area;
if the positive correlation increases after the user electric quantity data is called in, keeping the user electric quantity data in the first temporary grouping;
and combining the user electric quantity data finally retained in the first temporary grouping to serve as positive correlation optimal data.
Optionally, the combining the user power amount data finally retained in the first temporary group as positive correlation optimal data further includes:
calling the user electric quantity data in the first temporary group out of the first temporary group in sequence, and calculating the positive correlation between the called user electric quantity data in the first temporary group and the distribution area line loss;
and calling the user electric quantity data out of the first temporary group if the positive correlation is increased after the user electric quantity data is called out.
Optionally, the calculating the user power data combination with the line loss negative correlation optimal for the distribution room as negative correlation optimal data includes:
creating a second temporary packet;
the user electric quantity data outside the second temporary grouping are sequentially called into the second temporary grouping, and the negative correlation between the user electric quantity data in the second temporary grouping and the line loss of the transformer area after calling is calculated;
if the negative correlation increases after the user electric quantity data is called in, keeping the user electric quantity data in the second temporary group;
combining the user power amount data finally retained in the second temporary grouping as negative correlation optimum data.
Optionally, before the combining the user power amount data finally retained in the second temporary grouping as negative correlation optimal data, the method further includes:
calling the user electric quantity data in the second temporary group out of the second temporary group in sequence, and calculating the negative correlation between the called user electric quantity data in the second temporary group and the line loss of the transformer area;
and calling the user electric quantity data out of the second temporary group if the negative correlation is increased after the user electric quantity data is called out.
According to another aspect of the present invention, there is provided a station area power consumption abnormality user confirmation apparatus including:
the acquisition module is used for executing the acquisition of user electric quantity data and station area electric quantity data of each user in the distribution network station area;
the line loss calculation module is used for calculating the distribution area line loss of the distribution network distribution area based on the user electric quantity data and the distribution area electric quantity data;
the grouping module is used for grouping the users based on the correlation between the user electric quantity data and the line loss of the distribution room to obtain a positive correlation group, a negative correlation group, a low electric quantity group and other user groups;
a determining module, configured to determine, as an electricity stealing group, a group with abnormal electricity usage among the positive correlation group, the negative correlation group, the low electricity usage group, and the remaining user group based on correlation coefficients of the positive correlation group and the negative correlation group with the distribution room line loss, respectively.
According to another aspect of the present invention, there is provided a station area power usage abnormality user confirmation apparatus, the apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the station area power consumption abnormality user confirmation method according to any embodiment of the present invention.
According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement the method for confirming a user of a power consumption abnormality in a distribution area according to any one of the embodiments of the present invention when the computer instructions are executed.
According to the technical scheme of the embodiment of the invention, the line loss of the distribution network distribution area is obtained by calculating the user electric quantity data and the distribution area electric quantity data of each user in the distribution network distribution area, the users are divided into a positive correlation group, a negative correlation group, a low power consumption group and other user groups by calculating the correlation between the user electric quantity data and the distribution area line loss, and finally the abnormal group of the users is determined as the electricity stealing group based on the correlation coefficient between the group and the distribution area line loss to carry out key investigation, so that the investigation workload of the electricity stealing users in the distribution network distribution area is effectively reduced, and the investigation efficiency of the electricity stealing users is improved.
It should be understood that the statements in this section are not intended to identify key or critical features of the embodiments of the present invention, nor are they intended to limit the scope of the invention. Other features of the present invention will become apparent from the following description.
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 flowchart of a method for confirming a user with abnormal power consumption in a distribution room according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a device for confirming a user with abnormal power consumption in a distribution room according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a device for confirming a user with abnormal power consumption in a distribution room according to a third embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in other sequences than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example one
Fig. 1 is a flowchart of an embodiment of the present invention, which provides a method for confirming a user with an abnormal power consumption in a distribution grid, where this embodiment is applicable to a situation where a line loss abnormality in a distribution grid is determined and determined, and the method may be executed by a device for confirming a user with an abnormal power consumption in a distribution grid, where the device for confirming a user with an abnormal power consumption in a distribution grid may be implemented in hardware and/or software, and the device for confirming a user with an abnormal power consumption in a distribution grid may be configured in software and/or hardware, and may be configured in a computer device, for example, a server, a workstation, a personal computer, and the like. As shown in fig. 1, the method includes:
and S110, acquiring user electric quantity data and station area electric quantity data of each user in a station area of the power distribution network.
The distribution network is an electric power network which receives electric energy from a transmission network or a regional power plant and distributes the electric energy to various users on site through distribution facilities or step by step according to voltage. The power distribution network consists of overhead lines, cables, towers, distribution transformers, isolating switches, reactive power compensators, accessory facilities and the like, and plays a role in distributing electric energy in a power network. The power supply area generally refers to a power supply range or area of a transformer, a certain number of power consumers exist in the area or the range, metering equipment is usually arranged in the power supply area to count the power supply amount, electric energy meter equipment is arranged corresponding to each power consumer and used for recording the power consumption data of the power consumers, and finally the power supply condition and the line loss in the power supply area can be calculated based on the power supply amount and the power consumption data of the power consumers.
In the specific implementation, the user electric quantity data and the platform area electric quantity data can be acquired from the metering device of the platform area and the electric energy metering device set by the corresponding user, or the corresponding user electric quantity data and the platform area electric quantity data can be derived from the metering automation system on the power grid service platform, and the like, so that the user electric quantity data and the platform area electric quantity data can be acquired.
And S120, calculating the transformer area line loss of the transformer area of the power distribution network based on the user electric quantity data and the transformer area electric quantity data.
The line loss of the transformer area generally refers to the electric quantity loss in the transformer area, and comprises the energy loss generated by transmission of electric energy through a power transmission line, precision of metering equipment, electricity stealing and the like. In the embodiment of the invention, the line loss of the distribution area is calculated by subtracting the sum of the metered power consumption of the users from the supply power of the distribution area.
Illustratively, the method can comprise the following steps:
and S121, calculating the sum of the user electric quantity data to obtain the user total electric quantity data. In the embodiment of the invention, the acquired user electricity quantity data is the sum of the electricity consumption of the users in a unit time period measured on the electric energy measuring devices installed at each user in the distribution network district, and what is needed in the step is to count the sum of the electricity consumption of all the users in the unit time to obtain an electricity quantity curve of the time and the electricity consumption.
And S122, calculating the transformer area line loss of the distribution network transformer area based on the transformer area electric quantity data and the user total electric quantity data. What this step needs to do is calculate the line loss of unit time in the transformer area based on the line loss calculation principle, and then obtain the line loss curve of line loss and time of transformer area.
And S130, grouping the users based on the correlation between the user electricity quantity data and the distribution room line loss to obtain a positive correlation group, a negative correlation group, a low electricity consumption group and other user groups.
In a specific implementation, the positive correlation and the negative correlation between the power consumption of the users in the distribution area and the distribution area line loss can be calculated, and then the users with the correlation coefficient within a certain threshold value range are divided into a positive correlation group and a negative correlation group, and finally the rest of the users can be divided into a low power consumption group and the rest of the users based on the power consumption.
In one embodiment, S130 may include:
s131, calculating the user electric quantity data combination with the optimal positive correlation with the line loss of the transformer area to serve as the optimal positive correlation data.
And S132, taking the user corresponding to the positive correlation optimal data as a positive correlation group.
In the embodiment of the invention, a plurality of users are included in a station area, electricity stealing behaviors may exist in the electricity utilization situation of only part of the users, and other part of the users are normal electricity utilization, for the users who may have the electricity stealing behaviors, the correlation between the electricity utilization quantity data and the line loss of the station area is the largest, the user in the station area is grouped in the event that needs to be done in the step, the positive correlation between the whole grouped user electricity quantity data and the line loss of the station area is calculated, one or more combined users with the highest positive correlation are determined as a positive correlation group, and the combination of the user electricity quantity data corresponding to the group of users is the positive correlation optimal data.
In a specific implementation, there are many ways to determine the combination of the user capacity data that is optimal in positive correlation with the line loss of the distribution room, which may include, for example:
s1321, creating a first temporary packet. And creating a first temporary group for temporarily storing the user electricity quantity data in the calculation process.
Optionally, the user power data of one user may be added to the first temporary group as a preset first temporary group.
S1322, sequentially calling the user electric quantity data outside the first temporary grouping into the first temporary grouping, calculating the positive correlation between the user electric quantity data in the first temporary grouping after calling and the line loss of the transformer area, and if the positive correlation is increased after calling the user electric quantity data, keeping the user electric quantity data in the first temporary grouping.
In specific implementation, the traversal calculation of the line loss of the users and the distribution area in the distribution area can be realized by sequentially calling the user electric quantity data outside the first temporary group into the first temporary group and calculating the positive correlation between the sum of the user electric quantity data in the group and the distribution area line loss.
And S1323, combining the user electricity quantity data finally retained in the first temporary grouping to serve as positive correlation optimal data.
In an optional embodiment, before S1324, the method further includes:
s1324, calling the user electric quantity data in the first temporary grouping out of the first temporary grouping in sequence, calculating positive correlation between the user electric quantity data in the called out first temporary grouping and the line loss of the transformer area, and calling the user electric quantity data out of the first temporary grouping if the positive correlation is increased after the user electric quantity data is called out.
And the reliability of the user electric quantity data obtained by screening can be further ensured by calling out the user data again and calculating the positive correlation between the data left after calling out and the line loss of the transformer area again.
And S133, calculating the user electric quantity data combination which is negatively correlated and optimal with the line loss of the transformer area to serve as negatively correlated and optimal data.
And S134, taking the user corresponding to the negative correlation optimal data as a negative correlation grouping.
The grouping method of the negative correlation grouping may be the same as the grouping method of the positive correlation grouping, or may be implemented in other manners as long as the negative correlation between the combination of the obtained user electricity quantity data of the negative correlation grouping and the line loss of the distribution room is optimal.
Exemplary, may include:
s1341, creating a second temporary group;
s1342, sequentially calling the user electric quantity data outside the second temporary group into the second temporary group, calculating the negative correlation between the user electric quantity data in the called second temporary group and the line loss of the transformer area, and if the negative correlation is increased after the user electric quantity data is called, keeping the user electric quantity data in the second temporary group;
s1343, calling the user electric quantity data in the second temporary grouping out of the second temporary grouping in sequence, calculating a positive correlation between the user electric quantity data in the second temporary grouping after calling out and the line loss of the distribution area, and calling the user electric quantity data out of the second temporary grouping if the positive correlation increases after calling out the user electric quantity data.
And S1344, combining the user electricity quantity data finally retained in the second temporary grouping to be used as negative correlation optimal data.
And S135, determining user electric quantity data corresponding to the users except the positive correlation group and the negative correlation group as first residual electric quantity data.
And S136, calculating a user electricity quantity data combination smaller than a preset electricity consumption threshold value in the first residual electricity quantity data to serve as a low electricity consumption data combination.
In the embodiment of the invention, the low power consumption data is determined by comparing the threshold values.
And S137, grouping the users except the positive correlation group, the negative correlation group and the low power consumption group as the other users.
And S140, determining the abnormal electricity utilization groups in the positive correlation group, the negative correlation group, the low electricity consumption group and the rest user groups as electricity stealing groups based on the correlation coefficients of the positive correlation group and the negative correlation group and the line loss of the transformer area respectively.
The method comprises the steps of for positive correlation grouping, negative correlation grouping, low power consumption grouping and other user grouping, wherein the positive correlation grouping, the negative correlation grouping and the low power consumption grouping are objects needing important attention, namely metering abnormal users are distributed in the groupings with high probability. Furthermore, the judgment can be carried out by setting a threshold value, and the power utilization abnormal user group is determined when the correlation coefficient of the positive correlation group and the negative correlation group is greater than the preset threshold value. And when the correlation coefficients of the positive correlation group and the negative correlation group are smaller than a preset threshold value, the low power consumption group is considered to belong to the power consumption abnormal user group. And finally, performing abnormal sequencing on the positive correlation group, the negative correlation group, the low power consumption group and the rest user groups, and checking according to the sequencing sequence during checking, so that the workload and the difficulty of checking are effectively reduced, and only the power users corresponding to the group need to be checked in a targeted manner.
In the embodiment of the invention, the line loss of the distribution area is obtained by calculating the user electric quantity data and the distribution area electric quantity data of each user in the distribution network distribution area, the users are divided into a positive correlation group, a negative correlation group, a low power consumption group and other user groups by calculating the correlation between the user electric quantity data and the distribution area line loss, and finally the abnormal group of the users is determined as the electricity stealing group based on the correlation coefficient between the group and the distribution area line loss to carry out key investigation, so that the investigation workload of the electricity stealing users in the distribution area is effectively reduced, and the investigation efficiency of the electricity stealing users is improved.
In an alternative embodiment, for the electricity stealing grouping determined at S140, discreteness between user electricity quantity data can also be calculated, and important users in the grouping can be determined, so as to further improve efficiency in troubleshooting the job.
Example two
Fig. 2 is a schematic structural diagram of a device for confirming a user with abnormal power consumption in a distribution room according to a second embodiment of the present invention. As shown in fig. 2, the apparatus includes an obtaining module 21, a line loss calculating module 22, a grouping module 23, and a determining module 24, where:
the acquisition module 21 is configured to perform acquisition of user electric quantity data and station area electric quantity data of each user in a distribution network station area;
the line loss calculation module 22 is configured to calculate a distribution area line loss of a distribution network distribution area based on the user electric quantity data and the distribution area electric quantity data;
the grouping module 23 is configured to perform grouping on users based on the correlation between the user electricity data and the distribution room line loss, to obtain a positive correlation group, a negative correlation group, a low electricity consumption group, and other user groups;
and the determining module 24 is used for determining the abnormal power utilization groups in the positive correlation group, the negative correlation group, the low power utilization group and the rest user group as power stealing groups based on the correlation coefficients of the positive correlation group and the negative correlation group and the distribution area line loss respectively.
Optionally, the line loss calculating module 22 includes:
the sum calculating unit is used for calculating the sum of the user electric quantity data to obtain the user total electric quantity data;
and the line loss calculation unit is used for calculating the distribution area line loss of the distribution network distribution area based on the distribution area electric quantity data and the user total electric quantity data.
The grouping module 23 includes:
the positive correlation optimal calculation unit is used for executing calculation of the user electric quantity data combination which is optimally in positive correlation with the line loss of the distribution room and is used as positive correlation optimal data;
the positive correlation grouping unit is used for executing the user corresponding to the positive correlation optimal data as a positive correlation grouping;
the negative correlation optimal calculation unit is used for executing calculation of a user electric quantity data combination which is negatively correlated and optimal with the line loss of the transformer area and is used as negative correlation optimal data;
the negative correlation grouping unit is used for executing that the user corresponding to the negative correlation optimal data is taken as a negative correlation group;
a remaining determination unit configured to perform determination of user power data corresponding to the user other than the positive correlation group and the negative correlation group as first remaining power data;
the low electricity consumption grouping unit is used for calculating a user electricity quantity data combination smaller than a preset electricity consumption threshold value in the first residual electricity quantity data to serve as a low electricity consumption data combination;
and a remaining user grouping unit for performing grouping of users other than the positive correlation group, the negative correlation group, and the low power consumption group as remaining users.
Optionally, the positive correlation optimal calculation unit may include:
a first temporary grouping subunit for performing creation of a first temporary grouping;
the first positive correlation calculation subunit is used for sequentially calling the user electric quantity data outside the first temporary group into the first temporary group and calculating the positive correlation between the called user electric quantity data in the first temporary group and the line loss of the transformer area;
the first calling-in subunit is used for executing that if the positive correlation is increased after the user electric quantity data is called in, the user electric quantity data is kept in the first temporary grouping;
and the positive correlation confirmation subunit is used for performing the combination of the user electric quantity data finally retained in the first temporary grouping as positive correlation optimal data.
Further comprising:
the second positive correlation calculation subunit is used for sequentially calling the user electric quantity data in the first temporary grouping out of the first temporary grouping and calculating the positive correlation between the called user electric quantity data in the first temporary grouping and the line loss of the transformer area;
and the first calling-out subunit is used for calling out the user electric quantity data to a first temporary group if the positive correlation is increased after the user electric quantity data is called out.
The negative correlation grouping unit may include:
a second temporary grouping subunit for performing creation of a second temporary grouping;
the first negative correlation calculation subunit is used for sequentially calling the user electric quantity data outside the second temporary group into the second temporary group and calculating the negative correlation between the called user electric quantity data in the second temporary group and the line loss of the transformer area;
the second calling-in subunit is used for executing that if the negative correlation is increased after the user electric quantity data is called in, the user electric quantity data is kept in a second temporary group;
and a negative correlation confirmation subunit, configured to perform combining the user power amount data finally retained in the second temporary grouping as negative correlation optimal data.
Further comprising:
the second negative correlation calculation subunit is used for sequentially calling the user electric quantity data in the second temporary group out of the second temporary group and calculating the negative correlation between the called user electric quantity data in the second temporary group and the line loss of the transformer area;
and the second calling-out subunit is used for calling out the user electric quantity data into a second temporary group if the negative correlation is increased after the user electric quantity data is called out.
The device for confirming the users with abnormal power consumption in the transformer area, provided by the embodiment of the invention, can execute the method for confirming the users with abnormal power consumption in the transformer area, provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
EXAMPLE III
Fig. 3 shows a schematic structural diagram of the station area power consumption abnormality user confirmation apparatus 10 that can be used to implement an embodiment of the present invention. The district power utilization anomaly user confirmation device is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. The block power usage anomaly user confirmation device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 3, the station area power usage abnormality user confirmation apparatus 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, and the like, where the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data necessary for the operation of the station area power use abnormality user confirmation apparatus 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
A plurality of components in the station area power consumption abnormality user confirmation apparatus 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the station area power consumption abnormality user confirmation apparatus 10 to exchange information/data with other apparatuses through a computer network such as the internet and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. The processor 11 performs the various methods and processes described above, such as the station area power usage abnormality user confirmation method.
In some embodiments, the power usage anomaly user confirmation method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed on the station area power usage abnormality user confirmation apparatus 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the above-described power usage abnormality user confirmation method may be performed. Alternatively, in other embodiments, processor 11 may be configured by any other suitable means (e.g., by way of firmware) to perform the station area power usage anomaly user confirmation method.
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described herein may be implemented on a station power usage anomaly user confirmation device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user may provide input to the table area power usage abnormality user confirmation apparatus. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the Internet.
The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for confirming users with abnormal power utilization in a distribution area is characterized by comprising the following steps:
acquiring user electric quantity data and station area electric quantity data of each user in a station area of a power distribution network;
calculating the distribution area line loss of the distribution network distribution area based on the user electric quantity data and the distribution area electric quantity data;
grouping the users based on the correlation between the user electric quantity data and the line loss of the transformer area to obtain a positive correlation group, a negative correlation group, a low electric quantity group and other user groups;
and determining that the group with abnormal power consumption in the positive correlation group, the negative correlation group, the low power consumption group and the rest user group is a power stealing group based on the correlation coefficients of the positive correlation group and the negative correlation group with the line loss of the distribution room respectively.
2. The method for confirming the abnormal users of the distribution network according to claim 1, wherein the calculating the distribution network distribution area line loss based on the user power data and the distribution network distribution area power data comprises:
calculating the sum of the user electric quantity data to obtain the user total electric quantity data;
and calculating the distribution area line loss of the distribution network distribution area based on the distribution area electric quantity data and the user total electric quantity data.
3. The method for confirming the users with abnormal power consumption in the distribution room according to claim 1, wherein the grouping the users based on the correlation between the user power data and the distribution room line loss to obtain a positive correlation group, a negative correlation group, a low power consumption group and the rest of the user groups comprises:
calculating the user electric quantity data combination which is in positive correlation with the line loss of the transformer area and is optimal, and taking the user electric quantity data combination as positive correlation optimal data;
taking the user corresponding to the positive correlation optimal data as a positive correlation group;
calculating the user electric quantity data combination which is negatively correlated and optimal with the line loss of the transformer area to serve as negatively correlated and optimal data;
taking the user corresponding to the negative correlation optimal data as a negative correlation group;
determining the user electric quantity data corresponding to the users except the positive correlation group and the negative correlation group as first remaining electric quantity data;
calculating the user electricity quantity data combination smaller than a preset electricity consumption threshold value in the first residual electricity quantity data to serve as a low electricity consumption data combination;
grouping the users other than the positive correlation group, the negative correlation group, and the low power consumption group as remaining users.
4. The method for confirming the abnormal subscriber of the power distribution grid according to claim 3, wherein the step of calculating the combination of the subscriber power data with the optimal positive correlation with the line loss of the power distribution grid as the optimal positive correlation data comprises:
creating a first temporary packet;
sequentially calling the user electric quantity data outside the first temporary group into the first temporary group, and calculating the positive correlation between the user electric quantity data in the first temporary group after calling and the line loss of the transformer area;
if the positive correlation increases after the user electric quantity data is called in, keeping the user electric quantity data in the first temporary grouping;
and combining the user electric quantity data finally retained in the first temporary grouping to serve as positive correlation optimal data.
5. The method for confirming the abnormal subscriber of the power consumption of the distribution room according to claim 4, wherein the step of combining the subscriber power data finally retained in the first temporary group as the positive correlation optimal data further comprises:
calling the user electric quantity data in the first temporary group out of the first temporary group in sequence, and calculating the positive correlation between the called user electric quantity data in the first temporary group and the distribution area line loss;
and calling the user electric quantity data out of the first temporary group if the positive correlation is increased after the user electric quantity data is called out.
6. The method for confirming the abnormal subscriber of the power distribution grid according to claim 3, wherein the step of calculating the combination of the subscriber power data which is negatively correlated with the line loss of the power distribution grid as the negatively correlated optimal data comprises:
creating a second temporary packet;
the user electric quantity data outside the second temporary grouping are sequentially called into the second temporary grouping, and the negative correlation between the user electric quantity data in the second temporary grouping and the line loss of the transformer area after calling is calculated;
if the negative correlation increases after the user electric quantity data is called in, keeping the user electric quantity data in the second temporary group;
combining the user power amount data finally retained in the second temporary grouping as negative correlation optimum data.
7. The method for confirming abnormal district power consumption according to claim 6, further comprising, before said combining the user power amount data finally retained in the second temporary group as negative correlation optimum data:
calling the user electric quantity data in the second temporary group out of the second temporary group in sequence, and calculating the negative correlation between the called user electric quantity data in the second temporary group and the line loss of the transformer area;
and calling the user electric quantity data out of the second temporary group if the negative correlation is increased after the user electric quantity data is called out.
8. An abnormal power consumption user confirmation apparatus for a distribution room, comprising:
the acquisition module is used for executing the acquisition of user electric quantity data and station area electric quantity data of each user in the distribution network station area;
the line loss calculation module is used for calculating the distribution area line loss of the distribution network distribution area based on the user electric quantity data and the distribution area electric quantity data;
the grouping module is used for grouping the users based on the correlation between the user electric quantity data and the line loss of the distribution room to obtain a positive correlation group, a negative correlation group, a low electric quantity group and other user groups;
a determining module, configured to determine, as an electricity stealing group, a group with abnormal electricity usage among the positive correlation group, the negative correlation group, the low electricity usage group, and the remaining user group based on correlation coefficients of the positive correlation group and the negative correlation group with the distribution room line loss, respectively.
9. An abnormal power consumption user confirmation apparatus for a distribution room, the apparatus comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the station zone power usage abnormality user confirmation method of any one of claims 1 to 7.
10. A computer-readable storage medium storing computer instructions for causing a processor to implement the station area power usage abnormality user confirmation method according to any one of claims 1 to 7 when executed.
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| CN118036905A (en) * | 2024-04-12 | 2024-05-14 | 国网山西省电力公司临汾供电公司 | Abnormal electricity utilization user detection method and device, storage medium and electronic equipment |
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| CN118036905A (en) * | 2024-04-12 | 2024-05-14 | 国网山西省电力公司临汾供电公司 | Abnormal electricity utilization user detection method and device, storage medium and electronic equipment |
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