CN115275988A - Method, device, equipment and storage medium for determining reason of day line loss abnormity - Google Patents
Method, device, equipment and storage medium for determining reason of day line loss abnormity Download PDFInfo
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- CN115275988A CN115275988A CN202210882177.3A CN202210882177A CN115275988A CN 115275988 A CN115275988 A CN 115275988A CN 202210882177 A CN202210882177 A CN 202210882177A CN 115275988 A CN115275988 A CN 115275988A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/001—Methods to deal with contingencies, e.g. abnormalities, faults or failures
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
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Abstract
The invention discloses a method, a device, equipment and a storage medium for determining a reason of day line loss abnormity. The method comprises the following steps: acquiring a line loss value of the power distribution network, and determining a daily line loss state of the power distribution network according to the line loss value, wherein the daily line loss state comprises daily line loss normality and daily line loss abnormality; when the line loss state is abnormal, obtaining line loss information of the power distribution network, wherein the line loss information comprises voltage current data, zero sequence current increasing data, user daily electricity quantity reducing data, terminal circuit data and ammeter data; and determining the reason causing the daily line loss abnormality according to the line loss information. Can determine the unusual state of day line loss through the line loss numerical value, when the day line loss is unusual, through obtaining voltage current data, zero sequence current increase data, user daily electric quantity reduce data, end circuit data and ammeter data in the distribution network, the reason that causes the day line loss unusual is confirmed to the multidimension, and the accuracy is high, has also improved work efficiency when having reduced staff's work load.
Description
Technical Field
The invention relates to the technical field of power distribution networks, in particular to a method, a device, equipment and a storage medium for determining a reason for day line loss abnormality.
Background
In the running process of a distribution network low-voltage distribution area, the distribution area solar line loss basically keeps fluctuating within a certain range under the condition that the power supply and sales of the distribution area are not greatly fluctuated. When the sun line loss sudden increase occurs in the low-voltage distribution room, the reason of the line loss sudden increase should be processed in time, and the electric quantity loss is avoided.
In the prior art, it is common to determine whether a line loss occurs in a certain line section by calculating a current voltage value of the line section.
The method for determining the line loss by calculating the current and voltage values in the prior art can only judge the line loss condition of a certain section of line, if the line loss abnormal reason of the whole power distribution network needs to be judged, the workload is large, the method is single, the accuracy is low, and meanwhile, the working efficiency of workers is also reduced.
Disclosure of Invention
The invention provides a method, a device, equipment and a storage medium for determining a reason of a day line loss abnormity, which are used for determining the reason of the day line loss abnormity when the day line loss is abnormal.
According to an aspect of the present invention, there is provided a method for determining a cause of a daily line loss abnormality, including:
acquiring a line loss value of the power distribution network, and determining a daily line loss state of the power distribution network according to the line loss value, wherein the daily line loss state comprises daily line loss normality and daily line loss abnormality;
when the line loss state is abnormal, obtaining line loss information of the power distribution network, wherein the line loss information comprises voltage current data, zero sequence current increasing data, user daily electricity quantity reducing data, terminal circuit data and ammeter data;
and determining the reason causing the daily line loss abnormality according to the line loss information.
According to another aspect of the present invention, there is provided a sun line loss abnormality cause determination apparatus including:
the system comprises a daily line loss state determining module, a daily line loss state determining module and a daily line loss state determining module, wherein the daily line loss state determining module is used for acquiring a line loss value of the power distribution network and determining the daily line loss state of the power distribution network according to the line loss value, and the daily line loss state comprises a daily line loss normal state and a daily line loss abnormal state;
the line loss information acquisition module is used for acquiring line loss information of the power distribution network when the line loss state is the abnormal line loss, wherein the line loss information comprises voltage current data, zero sequence current increase data, user daily electric quantity reduction data, terminal circuit data and ammeter data;
and the daily line loss abnormity reason determining module is used for determining the reason causing the daily line loss abnormity according to the line loss information.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein, the first and the second end of the pipe are connected with each other,
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 a method for determining a cause of a daily loss anomaly according to any one of the embodiments 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 a method for determining a cause of a daily loss anomaly 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 abnormal state of the daily line loss can be determined through the line loss value, when the daily line loss is abnormal, the reason causing the abnormal daily line loss is determined in a multi-dimensional manner by acquiring the voltage and current data, the zero sequence current increase data, the user daily electric quantity reduction data, the terminal circuit data and the ammeter data in the power distribution network, the accuracy is high, the workload of workers is reduced, and the working efficiency is improved.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily 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 determining a cause of a daily line loss anomaly according to an embodiment of the present invention;
fig. 2 is a flowchart of another method for determining a reason for a daily line loss anomaly according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a device for determining a cause of a daily line loss abnormality according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device implementing the method for determining a cause of a daily line loss abnormality according to the embodiment of the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solutions of the present invention, 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 some embodiments of the present invention, and do not belong to all 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 be 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 sequences other 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 a method for determining a cause of a daily line loss abnormality according to an embodiment of the present invention, where this embodiment is applicable to a case where a cause of a daily line loss abnormality is determined when the daily line loss is abnormal, and the method may be executed by a daily line loss abnormality cause determining apparatus, which may be implemented in hardware and/or software, and the daily line loss abnormality cause determining apparatus may be configured in a computer. As shown in fig. 1, the method includes:
s110, obtaining a line loss value of the power distribution network, and determining a daily line loss state of the power distribution network according to the line loss value.
Specifically, the power distribution network refers to a power network with a voltage grade of 35KV and below, and is used for supplying power to each power distribution station and various electric loads in a city, and line loss refers to energy loss emitted in the form of heat energy in the power distribution network; the controller acquires a line loss value of the power distribution network in the metering system, and can determine a daily line loss state of the power distribution network according to the line loss value, wherein the daily line loss state comprises normal daily line loss and abnormal daily line loss; the metering system is used for metering various parameters in the power distribution network.
Preferably, the line loss numerical value of the power distribution network is obtained, and the daily line loss state of the power distribution network is determined according to the line loss numerical value, and the method comprises the following steps: acquiring a line loss value of the power distribution network; and if the line loss value is larger than the line loss threshold value, determining that the daily line loss state is abnormal, otherwise, determining that the daily line loss state is normal.
Specifically, the controller obtains a line loss value of the power distribution network, wherein the line loss value is a difference value between a day line loss number of the power distribution network in the current day and a day line loss number of the previous day in the metering system, if the line loss value is larger than a line loss threshold value, the day line loss state is determined to be day line loss abnormal, and when the line loss value is smaller than the line loss threshold value, the day line loss is judged to be normal, wherein the line loss threshold value is preset in the metering system by a worker in advance according to the state of the power distribution network. Illustratively, the line loss threshold is set to be 2, and when the line loss value is 5, the controller judges that the day line loss state is a day line loss abnormality, and the day line loss abnormality is usually a sudden increase of the day line loss.
And S120, when the day line loss state is the abnormal day line loss, obtaining the line loss information of the power distribution network.
Specifically, a large amount of relevant information of the power distribution network exists in the metering system, when the controller judges that the line loss state is abnormal, the controller can acquire line loss information related to the line loss of the power distribution network in the metering system, wherein the line loss information comprises voltage current data, zero sequence current increasing data, user daily electricity quantity reducing data, terminal circuit data and ammeter data.
And S130, determining the reason causing the abnormal day line loss according to the line loss information.
Preferably, the determining the cause of the abnormal daily line loss according to the line loss information includes: determining abnormal line loss information from the line loss information; and determining the reason causing the abnormal daily line loss according to the abnormal line loss information.
Specifically, when the line loss is abnormal, after the controller acquires the line loss information, the controller can determine the reason causing the abnormal line loss according to the line loss information, wherein the line loss information refers to relevant information causing the abnormal line loss and comprises voltage current data, zero sequence current increasing data, user daily electricity quantity reducing data, end circuit data and ammeter data, the controller can determine the abnormal line loss information from the line loss information, and then determine the reason causing the abnormal line loss according to the abnormal line loss information.
Preferably, the determining of the abnormal line loss information from the line loss information includes: and comparing the line loss information with a preset threshold corresponding to the line loss information, and if the line loss information is greater than the preset threshold, determining that the line loss information is abnormal line loss information, wherein the line loss information comprises voltage current data, zero sequence current increase data, user daily electricity quantity reduction data and terminal circuit data.
Specifically, different line loss information has corresponding preset thresholds, the preset thresholds are set in advance in a metering system by workers according to the state of the power distribution network, for example, voltage and current data, zero sequence current increase data, user daily electricity quantity reduction data and end circuit data have corresponding preset thresholds respectively, the controller compares the line loss information with the corresponding preset thresholds, when the line loss information is greater than the preset thresholds, the line loss information is determined to be abnormal line loss information, and a user refers to a power supply user in the power distribution network.
The controller can obtain a power value from the obtained voltage and current data according to an electric energy metering formula, compare the power value with a preset threshold value, for example, set the preset threshold value to be 200W, when the power value is 500W, the voltage and current data is normal, when the power value is 0, the phenomenon of zero voltage, undervoltage or zero current may occur, at this time, the voltage and current data is determined to be abnormal voltage and current data, otherwise, the voltage and current data is determined to be normal.
The zero-sequence current increase data are zero-sequence current increase values and zero line ground voltage increase values in a metering terminal in a metering system, if the zero-sequence current increase values are larger than corresponding preset threshold values, the zero-sequence current increase data are determined to be abnormal zero-sequence current increase data, or if the zero line ground voltage increase values are larger than corresponding preset threshold values, the zero-sequence current increase data are determined to be abnormal zero-sequence current increase data, and when the zero-sequence current increase values and the zero line ground voltage increase values are smaller than corresponding preset threshold values, the zero-sequence current increase data are judged to be normal.
The daily electricity consumption reduction data of the user are obtained by the controller through inquiring daily electricity consumption data and a daily electricity consumption trend curve of the user in the metering system, if the daily electricity consumption reduction data of the user are larger than a corresponding preset threshold value, the daily electricity consumption reduction data of the user are determined to be abnormal daily electricity consumption reduction data of the user, and otherwise, the daily electricity consumption reduction data of the user are determined to be normal.
The terminal circuit data refers to that the controller determines that the terminal circuit data is abnormal terminal circuit data by inquiring an electric quantity increasing value and a terminal electric meter voltage decreasing value of a terminal electric meter at a far radius end in the metering system, if the electric quantity increasing value of the terminal electric meter is larger than a corresponding preset threshold value and the terminal electric meter voltage decreasing value is larger than a corresponding preset threshold value, and otherwise, the terminal circuit data is determined to be normal.
Preferably, the method for determining abnormal line loss information from line loss information further includes: and comparing the electric meter data with the preset conditions matched with the electric meter data, and if the electric meter data do not meet the preset conditions, determining the electric meter data as abnormal line loss information, wherein the electric meter data comprise newly-installed electric meter data and newly-moved electric meter data.
Specifically, the ammeter data includes new dress ammeter data and new move ammeter data, new dress ammeter data indicates the new dress ammeter manifest that the controller obtained from marketing system, marketing system indicates the system relevant with distribution network ammeter and charges of electricity, the preset condition of matching indicates the new dress ammeter archives in the metering system, the controller can be compared new dress ammeter manifest and new dress ammeter archives, if new dress ammeter archives include the new dress ammeter and the normal measurement electric quantity in all new dress ammeter manifests, it is normal to show new dress ammeter data, otherwise, confirm that new dress ammeter data is unusual new dress ammeter data.
Further, the new migrated electric meter data refers to a interconversion list of an electric meter migration project from the metering system, the controller obtains whether the electricity consumption of the newly migrated electric meter in the interconversion list in the metering system is normally metered, if the electricity consumption is normally metered, the new migrated electric meter data is normal, and if the electricity consumption is not normally metered, the new migrated electric meter data is determined to be abnormal new migrated electric meter data.
According to the technical scheme of the embodiment of the invention, the abnormal state of the daily line loss can be determined through the line loss value, when the daily line loss is abnormal, the reason causing the abnormal daily line loss is determined in a multi-dimensional manner by acquiring the voltage and current data, the zero sequence current increase data, the user daily electric quantity reduction data, the terminal circuit data and the ammeter data in the power distribution network, the accuracy is high, the workload of workers is reduced, and the working efficiency is improved.
Example two
Fig. 2 is a flowchart of a method for determining a cause of a daily line loss anomaly according to a second embodiment of the present invention; in this embodiment, a reason for determining the day line loss abnormality according to the line loss information in the first embodiment is specifically described, where specific contents of steps S210 and S220 are substantially the same as those of steps S110 and S120 in the first embodiment, and therefore, details are not repeated in this embodiment. As shown in fig. 2, the method includes:
s210, obtaining a line loss value of the power distribution network, and determining a daily line loss state of the power distribution network according to the line loss value.
And S220, when the day line loss state is the abnormal day line loss state, obtaining the line loss information of the power distribution network.
And S230, determining abnormal line loss information from the line loss information.
Specifically, the controller may compare the line loss information with a preset threshold corresponding to the line loss information, and if the line loss information is greater than the preset threshold, determine that the line loss information is abnormal line loss information, or compare the electric meter data with a preset condition matched with the electric meter data, and if the electric meter data does not satisfy the preset condition, determine that the electric meter data is abnormal line loss information.
And S240, acquiring a daily line loss identification model.
Specifically, after the controller determines abnormal line loss information from the line loss information, the reason causing the abnormal daily line loss can be determined according to the abnormal line loss information, the controller acquires an internally preset daily line loss identification model, the daily line loss model is set by a user in the controller in advance according to the abnormal line loss information and the reason causing the abnormal daily line loss, the daily line loss identification model comprises the corresponding relation between the abnormal line loss information and the reason causing the abnormal daily line loss, and the controller can determine the reason causing the abnormal daily line loss through the daily line loss identification model according to the abnormal line loss information.
S250, determining the reason causing the daily line loss abnormality through a daily line loss identification model according to the abnormal line loss information, wherein the reason comprises the following steps: when the abnormal line loss information is voltage and current data, determining the reason causing the abnormal daily line loss as the low-electricity-counting quantity through a daily line loss identification model according to the abnormal voltage and current data; or when the abnormal line loss information is abnormal zero-sequence current increase data, determining that the reason causing the abnormal daily line loss is electric leakage through a daily line loss identification model according to the abnormal zero-sequence current increase data; or when the abnormal line loss information is abnormal daily electricity consumption reduction data of the user, determining the reason causing the abnormal daily electricity consumption of the user as the fault of the user electricity meter or electricity stealing of the user through a daily electricity consumption identification model according to the abnormal daily electricity consumption reduction data of the user; or when the abnormal line loss information is abnormal end circuit data, determining the reason causing the abnormal daily line loss as the abnormal end circuit through a daily line loss identification model according to the abnormal end circuit data; or when the abnormal line loss information is abnormal new electric meter data, determining the reason causing the abnormal daily line loss as a low-count electric meter through the daily line loss identification model according to the abnormal new electric meter data; or when the abnormal line loss information is abnormal new electric meter data, determining the reason causing the abnormal daily line loss as the inconsistency of the users through the daily line loss identification model according to the abnormal new electric meter data.
Specifically, when the abnormal line loss information is the voltage and current data, the cause of the abnormal line loss corresponding to the abnormal voltage and current data in the daily line loss identification model is the low-power-consumption amount, and when the controller determines that the voltage and current data is the abnormal line loss information, the cause of the abnormal daily line loss can be determined as the low-power-consumption amount through the daily line loss identification model according to the abnormal voltage and current data.
Alternatively, when the abnormal line loss information is the zero-sequence current increase data, the cause of the daily line loss abnormality corresponding to the abnormal zero-sequence current increase data in the daily line loss identification model is the electric leakage, and when the controller determines that the zero-sequence current increase data is the abnormal line loss information, the cause of the daily line loss abnormality can be determined as the electric leakage by the daily line loss identification model according to the abnormal zero-sequence current increase data.
Or when the abnormal line loss information is the user daily electricity consumption reduction data, the reason causing the abnormal line loss corresponding to the abnormal user daily electricity consumption reduction data in the line loss identification model is the user ammeter fault or the user electricity stealing, and when the controller determines that the user daily electricity consumption reduction data is the abnormal line loss information, the reason causing the abnormal line loss can be determined to be the user ammeter fault or the user electricity stealing through the line loss identification model according to the abnormal user daily electricity consumption reduction data.
Further, when the controller determines that the user daily electricity consumption reduction data is abnormal line loss information, whether the voltage and the current of the ammeter corresponding to the abnormal user daily electricity consumption reduction data are normal or not needs to be judged, namely whether the ammeter power is larger than a corresponding preset threshold value or not is judged, if the ammeter power is larger than the preset threshold value, the reason causing the abnormal daily line loss is determined to be electricity stealing of the user, otherwise, the voltage and the current of the ammeter are abnormal, and the user ammeter fault causing the abnormal daily line loss is determined at the moment.
Alternatively, when the abnormal line loss information is the end circuit data, the cause of the abnormal line loss corresponding to the abnormal end circuit data in the line loss identification model is the end circuit abnormality, and when the controller determines that the end circuit data is the abnormal line loss information, the cause of the abnormal line loss may be determined as the end circuit abnormality by the line loss identification model based on the abnormal end circuit data.
Alternatively, when the abnormal line loss information is new-installed meter data, the reason causing the abnormal line loss corresponding to the abnormal new-installed meter data in the line loss identification model is the electric meter with less meter, and when the controller determines that the new-installed meter data is the abnormal line loss information, the reason causing the abnormal line loss can be determined as the electric meter with less meter through the line loss identification model according to the abnormal new-installed meter data.
Or, when the abnormal line loss information is new transferred meter data, the cause of the abnormal line loss corresponding to the abnormal new transferred meter data in the line loss identification model is the user variation inconsistency, and when the controller determines that the new transferred meter data is the abnormal line loss information, the cause of the abnormal line loss can be determined as the user variation inconsistency through the line loss identification model according to the abnormal new transferred meter data.
Further, after the controller determines the reason causing the day line loss abnormity, the day line loss abnormity information can be generated according to the reason, the controller can send the day line loss abnormity information to the alarm device connected with the controller, the alarm device can give an alarm to the staff after receiving the day line loss abnormity information, for example, the alarm device can be a loudspeaker, when the controller determines that the reason causing the day line loss abnormity is the ammeter which is counted less, voice alarm can be performed through the loudspeaker, and the alarm content is as follows: the small number of meters causes the abnormal daily line loss. The purpose of warning is in order to inform the staff to make things convenient for the staff in time to carry out on-the-spot inspection and processing, avoid the electric quantity to run off.
According to the technical scheme of the embodiment of the invention, the abnormal state of the daily line loss can be determined through the line loss value, when the daily line loss is abnormal, the abnormal line loss data is determined from the line loss data by acquiring the voltage current data, the zero sequence current increase data, the daily electric quantity reduction data of a user, the tail end circuit data and the ammeter data in the power distribution network, and then the reason causing the daily line loss abnormality can be determined in multiple dimensions through the daily line loss identification model, so that the accuracy is high, the workload of workers is reduced, and the working efficiency is improved.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a device for determining a cause of a sun-line loss abnormality according to a third embodiment of the present invention. As shown in fig. 3, the apparatus includes: the daily line loss state determining module 310 is configured to obtain a line loss value of the power distribution network, and determine a daily line loss state of the power distribution network according to the line loss value, where the daily line loss state includes a daily line loss normal state and a daily line loss abnormal state; the line loss information acquiring module 320 is configured to acquire line loss information of the power distribution network when the line loss state is the abnormal line loss, where the line loss information includes voltage current data, zero-sequence current increase data, user daily electricity quantity reduction data, end circuit data, and meter data; and a daily line loss anomaly cause determining module 330, configured to determine, according to the line loss information, a cause causing the daily line loss anomaly.
Preferably, the daily line loss state determining module 310 is specifically configured to: acquiring a line loss value of the power distribution network; and if the line loss value is larger than the line loss threshold value, determining that the daily line loss state is abnormal, otherwise, determining that the daily line loss state is normal.
Preferably, the module 330 for determining the reason for the abnormal daily line loss includes: an abnormal line loss information determining unit for determining abnormal line loss information from the line loss information; and the daily line loss abnormal reason determining unit is used for determining the reason causing the daily line loss abnormality according to the abnormal line loss information.
Preferably, the abnormal line loss information determining unit is specifically configured to: and comparing the line loss information with a preset threshold corresponding to the line loss information, and if the line loss information is greater than the preset threshold, determining that the line loss information is abnormal line loss information, wherein the line loss information comprises voltage current data, zero sequence current increase data, user daily electricity quantity reduction data and terminal circuit data.
Preferably, the abnormal line loss information determining unit is further configured to: and comparing the electric meter data with the preset conditions matched with the electric meter data, and if the electric meter data does not meet the preset conditions, determining that the electric meter data is abnormal line loss information, wherein the electric meter data comprises newly-installed electric meter data and newly-moved electric meter data.
Preferably, the sun-line loss abnormality cause determining unit includes: the system comprises a daily line loss identification model obtaining subunit, a daily line loss identification model obtaining subunit and a daily line loss identification model obtaining subunit, wherein the daily line loss identification model comprises the corresponding relation between abnormal line loss information and reasons causing daily line loss abnormality; and the daily line loss abnormal reason determining subunit is used for determining the reason causing the daily line loss abnormality through the daily line loss identification model according to the abnormal line loss information.
Preferably, the daily line loss anomaly cause determining subunit is specifically configured to: determining the reason causing the abnormal daily line loss as the low-power-consumption electricity through a daily line loss identification model according to the abnormal voltage and current data; determining the reason causing the abnormal daily line loss as electric leakage through a daily line loss identification model according to the abnormal zero sequence current increase data; determining the reason causing the abnormal daily electricity consumption of the user as the fault of the user electricity meter or electricity stealing of the user through a daily electricity consumption identification model according to the abnormal daily electricity consumption reduction data of the user; determining the reason causing the abnormal daily line loss as the abnormal terminal circuit through a daily line loss identification model according to the abnormal terminal circuit data; determining the reason causing the abnormal day line loss as a low-count electric meter through a day line loss identification model according to the abnormal newly-installed electric meter data; and determining the reason causing the abnormal day line loss as inconsistent household change through a day line loss identification model according to the abnormal new electric meter data.
According to the technical scheme of the embodiment of the invention, the abnormal state of the daily line loss can be determined through the line loss value, and when the daily line loss is abnormal, the reason causing the abnormal daily line loss is determined in a multi-dimensional manner by acquiring the voltage current data, the zero sequence current increase data, the daily electric quantity reduction data of the user, the tail end circuit data and the ammeter data in the power distribution network, so that the accuracy is high, the workload of workers is reduced, and the working efficiency is improved.
The device for determining the reason for the abnormal daily line loss provided by the embodiment of the invention can execute the method for determining the reason for the abnormal daily line loss provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
Example four
FIG. 4 shows a schematic block diagram of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, 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. 4, the electronic device 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, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 can perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from a storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data necessary for the operation of the electronic 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 number of components in the electronic device 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 electronic device 10 to exchange information/data with other devices via 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 dedicated Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The processor 11 performs the various methods and processes described above, such as a daily line loss anomaly cause determination method.
In some embodiments, a method for determining a cause of a daily loss anomaly 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 onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of a method for determining a cause of a daily loss anomaly described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform a daily loss anomaly cause determination method by any other suitable means (e.g., by means of firmware).
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 here can be implemented on an electronic 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 can provide input to the electronic device. 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 can 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 determining a reason for abnormal sun-ray loss is characterized by comprising the following steps:
the method comprises the steps of obtaining a line loss value of the power distribution network, and determining a daily line loss state of the power distribution network according to the line loss value, wherein the daily line loss state comprises daily line loss normality and daily line loss abnormality;
when the line loss state is abnormal, obtaining line loss information of the power distribution network, wherein the line loss information comprises voltage current data, zero sequence current increasing data, user daily electricity quantity reducing data, terminal circuit data and ammeter data;
and determining the reason causing the daily line loss abnormality according to the line loss information.
2. The method of claim 1, wherein obtaining a line loss value of the power distribution network, and determining a daily line loss state of the power distribution network according to the line loss value comprises:
acquiring a line loss value of the power distribution network;
if the line loss value is larger than the line loss threshold value, determining that the daily line loss state is the daily line loss is abnormal, otherwise, determining that the daily line loss state is the daily line loss is normal.
3. The method of claim 1, wherein the determining the cause of the daily line loss anomaly from the line loss information comprises:
determining abnormal line loss information from the line loss information;
and determining the reason causing the daily line loss abnormality according to the abnormal line loss information.
4. The method of claim 3, wherein the determining abnormal line loss information from the line loss information comprises:
and comparing the line loss information with a preset threshold value corresponding to the line loss information, and if the line loss information is greater than the preset threshold value, determining that the line loss information is abnormal line loss information, wherein the line loss information comprises the voltage current data, the zero sequence current increase data, the daily electric quantity reduction data of the user and the end circuit data.
5. The method of claim 4, wherein the determining abnormal line loss information from the line loss information further comprises:
and comparing the electric meter data with a preset condition matched with the electric meter data, and if the electric meter data does not meet the preset condition, determining that the electric meter data is abnormal line loss information, wherein the electric meter data comprises newly-installed electric meter data and newly-migrated electric meter data.
6. The method according to claim 5, wherein the determining the cause of the daily line loss abnormality according to the abnormal line loss information comprises:
acquiring a daily line loss identification model, wherein the daily line loss identification model comprises the corresponding relation between the abnormal line loss information and the reason causing the daily line loss abnormality;
and determining the reason causing the abnormal daily line loss through the daily line loss identification model according to the abnormal line loss information.
7. The method according to claim 6, wherein the determining, by the daily line loss identification model, a cause of the daily line loss abnormality according to the abnormal line loss information includes:
when the abnormal line loss information is the voltage and current data, determining the reason causing the abnormal daily line loss as the low electricity metering quantity through the daily line loss identification model according to the abnormal voltage and current data;
or when the abnormal line loss information is the abnormal zero-sequence current increase data, determining the reason causing the abnormal daily line loss as electric leakage through the daily line loss identification model according to the abnormal zero-sequence current increase data;
or when the abnormal line loss information is the abnormal user daily electricity consumption reduction data, determining the reason causing the abnormal daily electricity consumption as a user ammeter fault or user electricity stealing according to the abnormal user daily electricity consumption reduction data through the daily electricity consumption identification model;
or when the abnormal line loss information is the abnormal end circuit data, determining the reason causing the abnormal daily line loss as the end circuit abnormality through the daily line loss identification model according to the abnormal end circuit data;
or when the abnormal line loss information is the abnormal newly-installed electric meter data, determining the reason causing the abnormal daily line loss as a low-count electric meter through the daily line loss identification model according to the abnormal newly-installed electric meter data;
or, when the abnormal line loss information is the abnormal new electric meter data, determining the reason causing the abnormal daily line loss as inconsistent household changes according to the abnormal new electric meter data through the daily line loss identification model.
8. A device for determining a cause of an abnormal daily loss, comprising:
the system comprises a daily line loss state determining module and a daily line loss state determining module, wherein the daily line loss state determining module is used for acquiring line loss values of the power distribution network and determining the daily line loss state of the power distribution network according to the line loss values, and the daily line loss state comprises normal daily line loss and abnormal daily line loss;
the line loss information acquisition module is used for acquiring line loss information of the power distribution network when the line loss state is the abnormal line loss state, wherein the line loss information comprises voltage current data, zero sequence current increasing data, user daily electricity quantity reducing data, terminal circuit data and ammeter data;
and the daily line loss abnormal reason determining module is used for determining the reason causing the daily line loss abnormality according to the line loss information.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of claims 1-7.
10. A computer storage medium, characterized in that the computer-readable storage medium stores computer instructions for causing a processor, when executed, to implement the method as claimed in claims 1-7.
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| CN202210882177.3A CN115275988A (en) | 2022-07-26 | 2022-07-26 | Method, device, equipment and storage medium for determining reason of day line loss abnormity |
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| CN202210882177.3A CN115275988A (en) | 2022-07-26 | 2022-07-26 | Method, device, equipment and storage medium for determining reason of day line loss abnormity |
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