CN113077359B - Line loss abnormity investigation method, device, equipment and storage medium - Google Patents
Line loss abnormity investigation method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a line loss abnormity investigation method, a device, equipment and a storage medium, wherein the method comprises the following steps: acquiring electric energy data generated by a power transmission end in a platform area during power transmission and form data recorded by a power utilization end in the platform area during power utilization; determining a first line loss abnormality of abnormal loss of electric energy of the power transmission end during power transmission according to the electric energy data; determining a second line loss abnormality of abnormal loss of electric energy of the power utilization terminal when power is utilized according to form data; and combining the first line loss abnormality and the second line loss abnormality to perform abnormality processing on the platform region. According to the method, the abnormal loss of the electric energy is detected from the two sides of the power transmission end and the power utilization end, the range of detecting the line loss abnormality of the area can be reduced, the difficulty of detecting the line loss abnormality is reduced, the efficiency of detecting the line loss abnormality is improved, and the efficiency and the accuracy of abnormality processing can be improved by combining the first line loss abnormality and the second line loss abnormality to process the area.
Description
Technical Field
The embodiment of the invention relates to a line loss management technology, in particular to a line loss abnormality detection method, a device, equipment and a storage medium.
Background
Line loss management is an important work of power supply management, and the quality of management directly influences the economic benefit of a power supply enterprise and reflects the operation management level of the power supply enterprise.
The line loss management mainly comprises two parts, namely technical line loss and management line loss, wherein the management line loss refers to electric energy loss caused by metering, meter reading, electricity stealing and other human factors in the transmission process of the electric power grid, and the main influencing factors are metering accuracy, meter reading accuracy, anti-electricity-stealing management and power grid connection management. At present, the abnormal investigation of the management line loss is mainly carried out on the spot by service personnel on line, along with the upgrading of a power grid system, the power supply area of the power grid is wider and wider, the power supply area of a platform area is also increased, the difficulty of the service personnel in carrying out the abnormal investigation work of the line loss on the power supply area of the platform area is increased, a great deal of time is required to be consumed, the working efficiency is lower, and the cost of manpower and material resources is higher.
Disclosure of Invention
The embodiment of the invention provides a line loss abnormality investigation method, device, equipment and storage medium, which are used for solving the problems of low line loss abnormality investigation efficiency and high cost.
In a first aspect, an embodiment of the present invention provides a line loss anomaly investigation method, where the method includes:
acquiring electric energy data generated by a power transmission end in a platform area during power transmission, and recording form data of a power utilization end in the platform area during power utilization;
determining a first line loss abnormality of abnormal loss of electric energy of the power transmission end during power transmission according to the electric energy data;
determining a second line loss abnormality of abnormal loss of electric energy of the power utilization terminal when power is utilized according to the form data;
and combining the first line loss abnormality and the second line loss abnormality to perform abnormality processing on the platform region.
In a second aspect, an embodiment of the present invention further provides a line loss anomaly investigation device, where the device includes:
the data acquisition module is used for acquiring electric energy data generated by the power transmission end in the platform region during power transmission and form data recorded by the power utilization end in the platform region during power utilization;
the first line loss abnormality determination module is used for determining a first line loss abnormality of abnormal loss of electric energy of the power transmission end during power transmission according to the electric energy data;
the second line loss abnormality determination module is used for determining a second line loss abnormality of abnormal electric energy loss of the power utilization terminal when power is utilized according to the form data;
and the exception handling module is used for combining the first line loss exception and the second line loss exception to perform exception handling on the platform region.
In a third aspect, an embodiment of the present invention further provides a computer apparatus, including:
one or more processors;
a memory for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors implement the line loss anomaly investigation method as described in the first aspect.
In a fourth aspect, an embodiment of the present invention further provides a computer readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the line loss anomaly detection method according to the first aspect.
The method comprises the steps of obtaining electric energy data generated by a power transmission end in a platform area during power transmission and form data recorded by a power utilization end in the platform area during power utilization; determining a first line loss abnormality of abnormal loss of electric energy of the power transmission end during power transmission according to the electric energy data; determining a second line loss abnormality of abnormal loss of electric energy of the power utilization terminal when power is utilized according to form data; and combining the first line loss abnormality and the second line loss abnormality to perform abnormality processing on the platform region. According to the method, the abnormal electric energy loss of the power transmission end and the abnormal electric energy loss of the power consumption end during power transmission can be determined according to the electric energy data, the abnormal electric energy loss of the power consumption end during power consumption can be determined according to the form data, the line loss in the power consumption area can be more accurately positioned, the difficulty of line loss abnormal investigation is reduced, the efficiency of line loss abnormal investigation is improved, the efficiency of abnormal processing of the power consumption area can be further improved by combining the first line loss abnormality and the second line loss abnormality, and the labor and physical cost are reduced.
Drawings
Fig. 1 is a flowchart of a line loss anomaly detection method according to a first embodiment of the present invention;
fig. 2 is a schematic structural diagram of a line loss anomaly investigation device according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a computer device according to a third embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
It should be noted that: in the description of embodiments of the present invention, the terms "first," "second," "third," "fourth," "fifth," and the like are used merely for distinguishing between descriptions and not for understanding as indicating or implying a relative importance.
Example 1
Fig. 1 is a flowchart of a line loss anomaly investigation method according to an embodiment of the present invention, which is applicable to the case of investigation of abnormal electric energy loss in a transformer area and determination of line loss anomalies in an electric power system, the method may be performed by a line loss anomaly investigation device, and the line loss anomaly investigation device may be implemented by software and/or hardware, and may be configured in a computer device, for example, a server, a workstation, a personal computer, etc., and the method specifically includes the following steps:
s110, acquiring electric energy data generated by the power transmission end in the platform region during power transmission and form data recorded by the power utilization end in the platform region during power utilization.
In this embodiment, a bay refers to a power supply range or a power supply area of a transformer for supplying power, one bay may include a plurality of power users, power transmission devices for transmitting power to the power users are configured in the bay, power output ends where the plurality of power transmission devices are located may be referred to as power transmission ends, power input ends where the plurality of power users are located may be referred to as power utilization ends, and each power user in the bay is configured with a metering device for metering power consumption and other power consumption parameters (including current, voltage, power and the like) of the power utilization end.
In one implementation manner, electric energy data generated by a power transmission end in a platform region during power transmission and form data recorded by a power utilization end in the platform region during power utilization can be obtained from a metering system in the power system, wherein output electric energy data of the power transmission end and metering electric energy data of the power utilization end are summarized in the metering system. The specific manner of acquiring the electric energy data and the form data is not limited in this embodiment.
In another implementation manner, a power grid model applied in the transformer area may be predetermined, where the power grid model is that in one power scheduling operation, a power transmission end (power transmission device) transmits electric energy to a power utilization end (power consumption device), and the power utilization end consumes the electric energy to perform a preset operation; and acquiring electric energy data generated by the power transmission end during power transmission and form data recorded by the power utilization end during power utilization in power dispatching operation.
S120, determining a first line loss abnormality of abnormal loss of electric energy of the power transmission end during power transmission according to the electric energy data.
In this embodiment, the electrical energy data may include voltage, current, power maximum value in a preset time period, useful power in a preset time period, and the like, which is not limited in this embodiment.
In one specific implementation, S120 may include the following specific steps:
calculating the line loss rate of the station area in the T-th period based on the electric energy data;
acquiring a line loss assessment value of the station area in the T-th period;
if the line loss rate exceeds the line loss assessment value, determining the type of abnormal loss of the electric energy of the power transmission end during power transmission as line loss rate distortion, and classifying the line loss rate distortion as first line loss abnormality.
In the implementation manner, the number of days or months can be used as a measurement unit of a period, for example, the number of days can be used as a preset period, the metering system is used for counting the line loss rate of approximately 3 days in an actual platform area and counting the line loss rate of approximately 3 days of a test subscriber (a user who singly uses a power supply transformer) in the platform area, the positive value and the negative value of the line loss rate of the two are judged, the abnormal loss of the electric energy of the electric power transmission end during electric power transmission is confirmed by combining the line loss rates of the two, and further, whether the checking list recorded by the electric power utilization end during electric power utilization in the platform area is wrong or not can be determined based on the comparison result between the line loss rate of the two and the line loss checking value, and whether the current statistics of the electric power utilization subscriber is abnormal or not is determined.
In another specific implementation, S120 may include the following specific steps:
determining a current phase angle belonging to a user terminal in the electric energy data;
calculating a difference value between a preset target phase angle and a current phase angle;
if the difference value is larger than a preset first angle threshold value, determining that the type of abnormal loss of the electric energy of the power transmission end during power transmission is metering equipment wiring error, and classifying the metering equipment wiring error as first line loss abnormality;
if the difference value is larger than a preset second angle threshold value and the difference value is smaller than or equal to the first angle threshold value, determining that the type of abnormal loss of the electric energy of the power transmission end during power transmission is insufficient reactive power compensation, and classifying the insufficient reactive power compensation as abnormal first line loss;
if the difference value is smaller than a preset third angle threshold value, determining that the type of abnormal loss of the electric energy of the power transmission end during power transmission is reactive power overcompensation, and classifying the reactive power overcompensation as abnormal first line loss.
More specifically, in one example, the preset target phase angle may take 360 °, the first angle threshold takes an empirical value of 80 °, the second angle threshold takes an empirical value of 60 °, the third angle threshold takes an empirical value of 0 °, and a difference between 360 ° and the current phase angle is calculated, if the difference is greater than 80 °, it is determined that the type of abnormal loss of electric energy at the power transmission end during power transmission is a metering device wiring error; if the difference is larger than 60 degrees and smaller than or equal to 80 degrees, determining that the type of abnormal loss of the electric energy of the power transmission end during power transmission is insufficient reactive power compensation; if the difference is smaller than or equal to 60 degrees and the difference is larger than or equal to 0 degrees, determining that no abnormal loss of electric energy occurs at the power transmission end during power transmission; if the difference is smaller than 0 degrees, determining the type of abnormal loss of the electric energy of the power transmission end during power transmission as reactive power overcompensation; in this example, the metering device wiring error, insufficient reactive power compensation, and reactive power overcompensation are all attributed to the first line loss anomaly.
In yet another specific implementation, S120 may include the following specific steps:
inquiring the voltage of the station area and the electricity consumption of the electricity consumers in the station area in the electric energy data;
if the voltage is lower than a preset voltage threshold, determining that the type of abnormal loss of the electric energy of the power transmission end during power transmission is a power transmission line fault, and classifying the power transmission line fault as a first line loss abnormality;
counting the sum of the electricity consumption;
if the sum exceeds the electricity consumption capacity of the transformer area, determining that the type of abnormal loss of the electric energy of the power transmission end during power transmission is overload electricity consumption, and classifying the overload electricity consumption as first line loss abnormality.
In addition to any of the above embodiments, S120 may further include the following specific steps:
obtaining useful power from the electrical energy data;
counting the power sum of the useful power in a preset time period;
if the sum of the power is smaller than a preset power threshold, determining that the type of abnormal loss of the electric energy of the power transmission end during power transmission is a user electric quantity statistics error, and classifying the user electric quantity statistics error as a first line loss abnormality.
The first line loss abnormality in this embodiment is mainly oriented to a situation that abnormal power loss occurs in power transmission ends in a transformer area during power transmission, where the first line loss abnormality includes multiple types of abnormal power loss, and specific content of the first line loss abnormality is not limited in this embodiment.
S130, determining that the second line loss is abnormal when the power consumption terminal is powered on according to form data, wherein the abnormal loss occurs in the power consumption.
In this embodiment, the second line loss anomaly is mainly oriented to a situation that when the electricity consumption end in the transformer area uses electricity, the electricity consumption end generates abnormal loss of the electricity, and specifically may include a type that the electricity consumption end generates abnormal loss due to factors such as distortion of an electricity meter list, omission of registration of the electricity consumer, error and omission of registration of the electricity consumption end, and error of metering data; the specific content of the second line loss anomaly is not limited in this embodiment.
In a specific implementation manner, a regional list, a marketing list and a metering list of the platform area can be queried from the form data; the marketing list is respectively compared with a regional list (such as a list of electricity users registered in a GIS system) and a metering list to obtain a user change relation of electricity users in a platform region, for example, the situation that the electricity users appearing in the regional list are not registered in the marketing list can be checked out by comparing the regional list with the marketing list, or the electricity users registered in the marketing list are not registered in the regional list, and for example, the situation that the electricity users registered in the marketing list are not registered in the metering list is checked out by comparing the metering list with the marketing list, or the situation that the electricity users registered in the metering list are not registered in the marketing list is convenient to master the number and the complete list of inconsistent users in the platform region; based on form data statistics, the success rate of metering electricity consumption of the electricity consumers; and determining a second line loss abnormality of abnormal loss of electric energy of the power utilization terminal when power is utilized by combining the user transformation relation and the success rate.
Wherein, combining the user transformation relation and the success rate to determine that the second line loss of the abnormal loss of the electric energy occurs when the electric power is used by the electric power utilization terminal is abnormal, the method specifically can comprise the following steps:
determining the wrong registered or missed registered users in the platform area as abnormal users according to the user change relation;
inquiring the historical electricity consumption of an abnormal electricity consumer;
generating a power consumption fault investigation list based on the historical power consumption and the information of the abnormal power consumption user;
if the success rate is lower than a preset target threshold, counting the power consumers with the power consumption not measured, and generating an unmeasured power consumption list;
and combining the electricity consumption fault checking list and the un-metered electricity consumption list, determining the type of abnormal electric energy loss of the electricity consumption terminal when electricity is consumed as the abnormal electricity supply and sales quantity, and classifying the abnormal electricity supply and sales quantity as the abnormal second line loss.
It should be noted that, the second line loss anomaly and the first line loss anomaly are both line loss anomalies in the transformer area, both of which can be categorized under the category of managing line loss anomalies, and the combination of the two can further reduce the working range of performing offline line loss investigation on the transformer area and reduce the difficulty of exception handling work.
S140, combining the first line loss abnormality and the second line loss abnormality to perform abnormality processing on the platform region.
In this embodiment, the first line loss anomaly and the second line loss anomaly may be combined and compared, for example, the line loss anomaly possibly existing in the platform area is located by referring to the difference and the commonality between the first line loss anomaly and the second line loss anomaly, the line loss anomaly screened out on the line according to the electric energy data and the form data is uploaded to the client of the business personnel, and the notification of the anomaly processing is displayed on the client so as to prompt the business personnel to timely perform the anomaly processing on the potential line loss anomaly in the platform area.
In a preferred example, determining a power grid model applied in a platform region, wherein the power grid model is that in one power dispatching operation, a power transmission end transmits electric energy to a power utilization end, and the power utilization end consumes the electric energy to execute preset operation; acquiring electric energy data generated by a power transmission end during power transmission and form data recorded by a power utilization end during power utilization in the power dispatching operation; determining a first line loss abnormality of abnormal loss of electric energy of the power transmission end during power transmission according to the electric energy data; determining a second line loss abnormality of abnormal loss of electric energy of the power utilization terminal when power is utilized according to the form data; the first line loss abnormality and the second line loss abnormality can be combined into a third line loss abnormality which occurs when the power dispatching operation is executed in the power grid model, and the abnormal processing is carried out on the platform area according to the third line loss abnormality. The third line loss abnormality is a combination of the first line loss abnormality and the second line loss abnormality, the third line loss abnormality reflects the condition that the electric energy of the whole platform area is abnormally lost in the power dispatching process, the range of line loss abnormality investigation of the platform area can be narrowed based on the third line loss abnormality, and the efficiency of operation and maintenance work of electric equipment and power transmission equipment in the platform area can be improved.
According to the embodiment of the invention, the electric energy data generated by the power transmission end in the platform area during power transmission is obtained, and the form data recorded by the power utilization end in the platform area during power utilization is obtained; determining a first line loss abnormality of abnormal loss of electric energy of the power transmission end during power transmission according to the electric energy data; determining a second line loss abnormality of abnormal loss of electric energy of the power utilization terminal when power is utilized according to form data; and combining the first line loss abnormality and the second line loss abnormality to perform abnormality processing on the platform region. According to the power data and the form data, the abnormal loss of the power is checked from the power transmission end and the two sides of the power consumption end, the range of line loss abnormal check of the power transmission end can be reduced, the abnormal power loss of the power transmission end during power transmission and the abnormal power loss of the power consumption end during power consumption are determined according to the power data, the line loss abnormality in the power transmission end can be more accurately positioned, the difficulty of line loss abnormal check is reduced, the efficiency of line loss abnormal check is improved, the efficiency of abnormality processing of the power transmission area can be further improved by combining the first line loss abnormality and the second line loss abnormality, and the labor and physical cost are reduced.
Example two
Fig. 2 is a schematic structural diagram of a line loss anomaly investigation device according to a second embodiment of the present invention, where the device may specifically include the following modules:
the data acquisition module 201 is configured to acquire electric energy data generated by a power transmission end in a platform area during power transmission and form data recorded by a power utilization end in the platform area during power utilization;
a first line loss anomaly determination module 202, configured to determine, according to the electrical energy data, a first line loss anomaly of an abnormal electrical energy loss of the power transmission terminal during power transmission;
a second line loss anomaly determination module 203, configured to determine, according to the form data, a second line loss anomaly of an abnormal loss of electric energy of the power utilization terminal when power is utilized;
and an exception handling module 204, configured to perform exception handling on the platform region by combining the first line loss exception and the second line loss exception.
In one embodiment of the present invention, the first line loss anomaly determination module 202 includes:
the line loss rate calculation sub-module is used for calculating the line loss rate of the station area in the T-th period based on the electric energy data;
a line loss assessment value determination submodule, configured to obtain a line loss assessment value of the transformer area in the T-th period, and if the line loss rate exceeds the line loss assessment value, call a line loss rate distortion determination submodule;
and the line loss rate distortion confirming sub-module is used for determining that the type of abnormal loss of the electric energy of the power transmission end during power transmission is line loss rate distortion and classifying the line loss rate distortion as first line loss abnormality.
In one embodiment of the present invention, the first line loss anomaly determination module 202 includes:
the current phase angle determining submodule is used for determining a current phase angle belonging to a user terminal in the electric energy data;
the difference value determining submodule is used for calculating a difference value between a preset target phase angle and the current phase angle; if the difference value is larger than a preset first angle threshold value, a first classification sub-module is called; if the difference value is larger than a preset second angle threshold value and the difference value is smaller than or equal to the first angle threshold value, a second classification sub-module is called; if the difference value is smaller than a preset third angle threshold value, a third classification sub-module is called;
the first classification submodule is used for determining that the type of abnormal loss of the electric energy of the power transmission end during power transmission is metering equipment wiring errors, and classifying the metering equipment wiring errors into first line loss abnormality;
the second classification sub-module is used for determining that the type of abnormal loss of the electric energy of the power transmission end during power transmission is insufficient reactive power compensation, and classifying the insufficient reactive power compensation as abnormal first line loss;
and the third classification sub-module is used for determining that the type of abnormal loss of the electric energy of the power transmission end during power transmission is reactive power overcompensation, and classifying the reactive power overcompensation as the first line loss abnormality.
In one embodiment of the present invention, the first line loss anomaly determination module 202 includes:
the inquiring sub-module is used for inquiring the voltage of the station area and the power consumption of the power consumer in the station area in the electric energy data; if the voltage is lower than a preset voltage threshold, calling a line fault determination submodule;
the line fault determining submodule is used for determining the type of abnormal loss of electric energy of the power transmission end during power transmission as power transmission line faults and classifying the power transmission line faults as first line loss anomalies;
the electric quantity statistics sub-module is used for counting the sum of the electric quantity; if the sum exceeds the electricity consumption capacity of the station area, an overload electricity consumption determination sub-module is called;
and the overload electricity consumption determination submodule is used for determining that the type of abnormal loss of the electric energy of the power transmission end during power transmission is overload electricity consumption and classifying the overload electricity consumption as abnormal first line loss.
In one embodiment of the present invention, the first line loss anomaly determination module 202 includes:
the useful power acquisition sub-module is used for acquiring useful power from the electric energy data;
a power sum calculation submodule for counting the power sum of the useful power in a preset time period; if the power sum is smaller than a preset power threshold value, calling a line loss classifying sub-module;
and the line loss classifying sub-module is used for determining that the type of abnormal loss of the electric energy of the power transmission end during power transmission is a user electric quantity statistical error, and classifying the user electric quantity statistical error as a first line loss abnormality.
In one embodiment of the present invention, the second line loss anomaly determination module 203 includes:
the list inquiring sub-module is used for inquiring a regional list, a marketing list and a metering list of the platform area from the form data;
the user change relation confirming sub-module is used for respectively comparing the marketing user list with the regional user list and the metering user list to obtain the user change relation of the power users in the platform region;
the success rate statistics sub-module is used for counting the success rate of metering the electricity consumption of the electricity consumer based on the form data;
and the electricity consumption abnormality determination submodule is used for determining a second line loss abnormality of abnormal electric energy loss of the electricity consumption terminal when electricity is consumed by combining the user transformation relation and the success rate.
In one embodiment of the present invention, the electricity usage anomaly determination submodule includes:
an abnormal user determining unit for determining, according to the user change relationship, a user registered in the transformer area with an error or missing registration as an abnormal user;
the electricity consumption inquiry unit is used for inquiring the historical electricity consumption of the abnormal electricity consumer;
the electricity consumption fault check list determining unit is used for generating an electricity consumption fault check list based on the historical electricity consumption and the information of the abnormal electricity consumers; if the success rate is lower than a preset target threshold, calling an un-metered electricity utilization list statistical unit;
the un-metered electricity utilization list statistics unit is used for counting the electricity consumers with un-metered electricity consumption to generate an un-metered electricity utilization list;
and the electricity supply and sales quantity abnormality determination unit is used for determining that the type of abnormal loss of the electric energy of the electricity utilization terminal when electricity is used is the electricity supply and sales quantity abnormality by combining the electricity utilization fault checking list and the un-metered electricity utilization list, and classifying the electricity supply and sales quantity abnormality as a second line loss abnormality.
The line loss abnormality investigation device provided by the embodiment of the invention can execute the line loss abnormality investigation method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example III
Fig. 3 is a schematic structural diagram of a computer device according to a third embodiment of the present invention. FIG. 3 illustrates a block diagram of an exemplary computer device 12 suitable for use in implementing embodiments of the present invention. The computer device 12 shown in fig. 3 is merely an example and should not be construed as limiting the functionality and scope of use of embodiments of the present invention.
As shown in FIG. 3, computer device 12 is in the form of a general purpose computing device. Components of computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, a bus 18 that connects the various system components, including the system memory 28 and the processing units 16.
Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, and a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, micro channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Computer device 12 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by computer device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 30 and/or cache memory 32. The computer device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from or write to non-removable, nonvolatile magnetic media (not shown in FIG. 3, commonly referred to as a "hard disk drive"). Although not shown in fig. 3, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In such cases, each drive may be coupled to bus 18 through one or more data medium interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored in, for example, memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 42 generally perform the functions and/or methods of the embodiments described herein.
The computer device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), one or more devices that enable a user to interact with the computer device 12, and/or any devices (e.g., network card, modem, etc.) that enable the computer device 12 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 22. Moreover, computer device 12 may also communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet, through network adapter 20. As shown, network adapter 20 communicates with other modules of computer device 12 via bus 18. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with computer device 12, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, for example, implementing the line loss anomaly investigation method provided by the embodiment of the present invention.
Example IV
The fourth embodiment of the present invention also provides a computer readable storage medium having a computer program stored thereon, which when executed by a processor, implements the line loss anomaly detection method of any one of the above embodiments.
The line loss abnormality investigation method comprises the following steps:
acquiring electric energy data generated by a power transmission end in a platform area during power transmission, and recording form data of a power utilization end in the platform area during power utilization;
determining a first line loss abnormality of abnormal loss of electric energy of the power transmission end during power transmission according to the electric energy data;
determining a second line loss abnormality of abnormal loss of electric energy of the power utilization terminal when power is utilized according to the form data;
and combining the first line loss abnormality and the second line loss abnormality to perform abnormality processing on the platform region.
The computer storage media of embodiments of the invention may take the form of any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having 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 portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (7)
1. The line loss abnormality investigation method is characterized by comprising the following steps:
acquiring electric energy data generated by a power transmission end in a platform area during power transmission, and recording form data of a power utilization end in the platform area during power utilization;
determining a first line loss abnormality of abnormal loss of electric energy of the power transmission end during power transmission according to the electric energy data;
determining a second line loss abnormality of abnormal loss of electric energy of the power utilization terminal when power is utilized according to the form data;
performing exception handling on the platform region by combining the first line loss exception and the second line loss exception;
the electric energy data at least comprises one of a line loss assessment value of the station area in the T-th period, a current phase angle belonging to a user terminal, a voltage of the station area, an electric quantity of a user in the station area and a useful power; the first line loss abnormality at least comprises one of line loss rate distortion, metering equipment wiring error, insufficient reactive power compensation, reactive power overcompensation, transmission line fault, overload electricity consumption and electricity consumption user electric quantity statistics error;
the determining, according to the electric energy data, that the electric energy of the power transmission end has a first line loss abnormality of abnormal loss during power transmission includes:
determining a current phase angle belonging to a user terminal in the electric energy data;
calculating a difference between a preset target phase angle and the current phase angle;
if the difference value is larger than a preset first angle threshold value, determining that the type of abnormal loss of the electric energy of the power transmission end during power transmission is metering equipment wiring error, and classifying the metering equipment wiring error as first line loss abnormality;
if the difference value is larger than a preset second angle threshold value and the difference value is smaller than or equal to the first angle threshold value, determining that the type of abnormal loss of the electric energy of the power transmission end during power transmission is insufficient reactive power compensation, and classifying the insufficient reactive power compensation as abnormal first line loss;
if the difference value is smaller than a preset third angle threshold value, determining that the type of abnormal loss of the electric energy of the power transmission end during power transmission is reactive power overcompensation, and classifying the reactive power overcompensation as first line loss abnormality;
the determining, according to the form data, that the power consumption end has a second line loss abnormality of abnormal power loss during power consumption includes:
inquiring a regional list, a marketing list and a metering list of the platform area from the form data;
the marketing user list is respectively compared with the regional user list and the metering user list to obtain a user change relation of the users in the platform region;
based on the form data, calculating the success rate of metering the electricity consumption of the electricity consumer;
determining a second line loss abnormality of abnormal electric energy loss of the power utilization terminal when power is utilized by combining the user-variable relation and the success rate;
the determining, by combining the user-variable relationship and the success rate, a second line loss abnormality of abnormal electric energy loss of the power utilization terminal when power is utilized includes:
determining the wrong registered or missed registered user in the platform area as an abnormal user according to the user change relation;
inquiring the historical electricity consumption of the abnormal electricity consumer;
generating a power consumption fault investigation list based on the historical power consumption and the information of the abnormal power consumption user;
if the success rate is lower than a preset target threshold, counting the power consumers with the power consumption not measured, and generating an unmeasured power consumption list;
and combining the electricity consumption fault checking list and the un-metered electricity consumption list, determining the type of abnormal electric energy loss of the electricity consumption terminal when electricity is consumed as the abnormal electricity supply and sales quantity, and classifying the abnormal electricity supply and sales quantity as the abnormal second line loss.
2. The method according to claim 1, wherein determining, from the power data, a first line loss anomaly of the power transmission end, which is an abnormal loss of power at the time of power transmission, includes:
calculating the line loss rate of the station area in the T-th period based on the electric energy data;
acquiring a line loss assessment value of the station area in the T-th period;
if the line loss rate exceeds the line loss assessment value, determining that the type of abnormal loss of the electric energy of the power transmission end during power transmission is line loss rate distortion, and classifying the line loss rate distortion as first line loss abnormality.
3. The method according to claim 1, wherein determining, from the power data, a first line loss anomaly of the power transmission end, which is an abnormal loss of power at the time of power transmission, includes:
inquiring the voltage of the station area and the electricity consumption of the users in the station area in the electric energy data;
if the voltage is lower than a preset voltage threshold, determining that the type of abnormal loss of the electric energy of the power transmission end during power transmission is a power transmission line fault, and classifying the power transmission line fault as a first line loss abnormality;
counting the sum of the electricity consumption;
and if the sum exceeds the electricity consumption capacity of the station area, determining that the type of abnormal loss of the electric energy of the power transmission end during power transmission is overload electricity consumption, and classifying the overload electricity consumption as first line loss abnormality.
4. The method of claim 3, wherein determining, from the power data, a first line loss anomaly of the power transmission end that is an abnormal loss of power during power transmission, further comprises:
obtaining useful power from the electrical energy data;
counting the power sum of the useful power in a preset time period;
if the power sum is smaller than a preset power threshold, determining that the type of abnormal loss of the electric energy of the power transmission end during power transmission is a power consumption statistics error of the power consumption user, and classifying the power consumption statistics error of the power consumption user as a first line loss abnormality.
5. The utility model provides a line loss anomaly investigation device which characterized in that includes:
the data acquisition module is used for acquiring electric energy data generated by the power transmission end in the platform region during power transmission and form data recorded by the power utilization end in the platform region during power utilization;
the first line loss abnormality determination module is used for determining a first line loss abnormality of abnormal loss of electric energy of the power transmission end during power transmission according to the electric energy data;
the second line loss abnormality determination module is used for determining a second line loss abnormality of abnormal electric energy loss of the power utilization terminal when power is utilized according to the form data;
the exception handling module is used for combining the first line loss exception and the second line loss exception to perform exception handling on the platform region;
the electric energy data at least comprises one of a line loss assessment value of the station area in the T-th period, a current phase angle belonging to a user terminal, a voltage of the station area, an electric quantity of a user in the station area and a useful power; the first line loss abnormality at least comprises one of line loss rate distortion, metering equipment wiring error, insufficient reactive power compensation, reactive power overcompensation, transmission line fault, overload electricity consumption and electricity consumption user electric quantity statistics error;
wherein, the first line loss anomaly determination module includes:
the current phase angle determining submodule is used for determining a current phase angle belonging to a user terminal in the electric energy data;
the difference value determining submodule is used for calculating a difference value between a preset target phase angle and the current phase angle; if the difference value is larger than a preset first angle threshold value, a first classification sub-module is called; if the difference value is larger than a preset second angle threshold value and the difference value is smaller than or equal to the first angle threshold value, a second classification sub-module is called; if the difference value is smaller than a preset third angle threshold value, a third classification sub-module is called;
the first classification submodule is used for determining that the type of abnormal loss of the electric energy of the power transmission end during power transmission is metering equipment wiring errors, and classifying the metering equipment wiring errors into first line loss abnormality;
the second classification sub-module is used for determining that the type of abnormal loss of the electric energy of the power transmission end during power transmission is insufficient reactive power compensation, and classifying the insufficient reactive power compensation as abnormal first line loss;
the third classification sub-module is used for determining that the type of abnormal loss of the electric energy of the power transmission end during power transmission is reactive power overcompensation, and classifying the reactive power overcompensation as first line loss abnormality;
the second line loss anomaly determination module includes:
the list inquiring sub-module is used for inquiring a regional list, a marketing list and a metering list of the platform area from the form data;
the user change relation confirming sub-module is used for respectively comparing the marketing user list with the regional user list and the metering user list to obtain the user change relation of the power users in the platform region;
the success rate statistics sub-module is used for counting the success rate of metering the electricity consumption of the electricity consumer based on the form data;
the power consumption abnormality determination submodule is used for determining a second line loss abnormality of abnormal electric energy loss of the power consumption terminal when power consumption is performed by combining the user transformation relation and the success rate;
wherein, the abnormal electricity consumption determination submodule comprises:
an abnormal user determining unit for determining, according to the user change relationship, a user registered in the transformer area with an error or missing registration as an abnormal user;
the electricity consumption inquiry unit is used for inquiring the historical electricity consumption of the abnormal electricity consumer;
the electricity consumption fault check list determining unit is used for generating an electricity consumption fault check list based on the historical electricity consumption and the information of the abnormal electricity consumers; if the success rate is lower than a preset target threshold, calling an un-metered electricity utilization list statistical unit;
the un-metered electricity utilization list statistics unit is used for counting the electricity consumers with un-metered electricity consumption to generate an un-metered electricity utilization list;
and the electricity supply and sales quantity abnormality determination unit is used for determining that the type of abnormal loss of the electric energy of the electricity utilization terminal when electricity is used is the electricity supply and sales quantity abnormality by combining the electricity utilization fault checking list and the un-metered electricity utilization list, and classifying the electricity supply and sales quantity abnormality as a second line loss abnormality.
6. A computer device, the computer device comprising:
one or more processors;
a memory for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the line loss anomaly investigation method of any of claims 1-4.
7. A computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and the computer program when executed by a processor implements the line loss anomaly investigation method according to any one of claims 1 to 4.
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