CN115603664A - Monitoring method and device for photovoltaic power generation metering fault, electronic equipment and medium - Google Patents
Monitoring method and device for photovoltaic power generation metering fault, electronic equipment and medium Download PDFInfo
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Abstract
The application discloses a monitoring method and device for photovoltaic power generation metering faults, electronic equipment and a medium. The method comprises the following steps: acquiring the internet surfing type of a target to be monitored, wherein the internet surfing type is full internet surfing or surplus internet surfing; determining a target monitoring strategy hit by the target to be monitored according to the determined internet access type, wherein the target monitoring strategy is a first night electric quantity abnormal strategy, or a second night electric quantity abnormal strategy and/or an electric quantity unbalance strategy; sampling the ammeter of the target to be monitored to obtain sampling data containing a plurality of acquisition points; and monitoring the metering faults of the target to be monitored according to the sampling data and the determined target monitoring strategy. This application has realized accurate, automatic, the intelligent judgement of photovoltaic power generation measurement trouble, has broken away from and has adopted a large amount of manual works to examine among the prior art, and the cost of labor is high, and the current situation that monitoring accuracy is low for judge the rate of accuracy and promote greatly.
Description
Technical Field
The application relates to the technical field of electric energy metering, in particular to a monitoring method and device for photovoltaic power generation metering faults, electronic equipment and a medium.
Background
Photovoltaic power generation is widely applied and researched as a clean energy source. However, few researches are made on the aspect of measuring fault detection of photovoltaic power generation, and in the prior art, a manual detection mode is usually adopted, but the manual detection mode has many disadvantages, such as poor detection real-time performance, low detection efficiency and low detection accuracy, and if the photovoltaic power generation measurement fails, many troubles are caused, so that a method for efficiently, accurately and automatically monitoring whether the photovoltaic power generation measurement fails is urgently needed.
Disclosure of Invention
The embodiment of the application provides a monitoring method, a monitoring device, electronic equipment and a monitoring medium for metering faults of photovoltaic power generation, wherein a monitoring strategy is constructed by establishing a logical relation of each metering point of distributed photovoltaic power generation and combining load characteristics, and the monitoring strategy can be used for a marketing business system to find the metering faults in time.
In a first aspect, an embodiment of the present application provides a method for monitoring a photovoltaic power generation metering fault, including:
acquiring the internet surfing type of a target to be monitored, wherein the internet surfing type is full internet surfing or surplus electricity internet surfing;
determining a target monitoring strategy hit by the target to be monitored according to the determined internet access type, wherein the target monitoring strategy is a first night electric quantity abnormal strategy, or a second night electric quantity abnormal strategy and/or an electric quantity unbalance strategy;
sampling the ammeter of the target to be monitored to obtain sampling data containing a plurality of acquisition points;
and monitoring the metering faults of the target to be monitored according to the sampling data and the determined target monitoring strategy.
In a second aspect, an embodiment of the present application further provides a device for monitoring a photovoltaic power generation metering failure, where the device includes:
the device comprises an acquisition unit, a monitoring unit and a monitoring unit, wherein the acquisition unit is used for acquiring the internet surfing type of a target to be monitored, and the internet surfing type is full internet surfing or surplus electricity internet surfing;
the target monitoring strategy is a first night electric quantity abnormal strategy or a second night electric quantity abnormal strategy and/or an electric quantity unbalance strategy;
the sampling unit is used for sampling the ammeter of the target to be monitored to obtain sampling data containing a plurality of acquisition points;
and the monitoring unit is used for monitoring the metering fault of the target to be monitored according to the sampling data and the determined target monitoring strategy.
In a third aspect, an embodiment of the present application further provides an electronic device, including: a processor; and a memory arranged to store computer executable instructions that, when executed, cause the processor to perform any of the methods described above.
In a fourth aspect, this application embodiment also provides a computer-readable storage medium storing one or more programs which, when executed by an electronic device including a plurality of application programs, cause the electronic device to perform any of the methods described above.
The embodiment of the application adopts at least one technical scheme which can achieve the following beneficial effects:
according to the method and the device, according to the internet type of a user, the monitoring strategy of the metering faults of the photovoltaic power generation is set according to the logic relation of each metering point of the distributed photovoltaic power generation and the load characteristics, the monitoring strategy comprises a first night electric quantity abnormity strategy, a second night electric quantity abnormity strategy and an electric quantity unbalance strategy, the data required by the electric meter acquisition of the target to be monitored are acquired, and the metering faults of the target to be monitored are monitored according to the sampling data and the determined target monitoring strategy. This application has realized accurate, automatic, the intelligent judgement of photovoltaic power generation measurement trouble, has broken away from and has adopted a large amount of manual works to examine among the prior art, and the cost of labor is high, and the current situation that monitoring accuracy is low for judge the rate of accuracy and promote greatly.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 shows a schematic flow diagram of a method of monitoring a photovoltaic power generation metering failure according to an embodiment of the present application;
FIG. 2 shows a schematic flow diagram of a method of monitoring photovoltaic power generation metering faults according to another embodiment of the present application;
FIG. 3 shows a schematic structural diagram of a photovoltaic power generation metering failure monitoring apparatus according to another embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart illustrating a method for monitoring a photovoltaic power generation metering fault according to an embodiment of the present application, and as can be seen from fig. 1, the present application at least includes steps S110 to S140:
step S110: and acquiring the internet surfing type of the target to be monitored, wherein the internet surfing type is full internet surfing or surplus electricity internet surfing.
The photovoltaic power generation has two main internet access modes, which can be called full internet access or surplus electricity internet access, and the two internet access types are explained below.
As shown in fig. 2, which is a schematic diagram of a power grid structure of a full-amount internet surfing mode, a photovoltaic generator is connected to a power distribution network, a settlement metering point is arranged between the photovoltaic generator and the power grid and is marked as a first metering point or a metering point 1, and for the metering point 1, "forward active electric quantity" is used as off-grid electric quantity, and "reverse active electric quantity" is used as on-grid electric quantity.
As shown in fig. 3, which is a schematic diagram of a power grid structure of a power grid system for remaining power to be on the internet, as can be seen from fig. 3, a photovoltaic generator is connected to a power distribution network, a connection point is provided between the power distribution network and the photovoltaic generator, and a power consumption load is also connected through the connection point, a first calculation measurement point is provided between the power distribution network and the connection point, and may be referred to as a measurement point 1, a second settlement measurement point is provided between the photovoltaic generator and the connection point, and may be referred to as a measurement point 2, and a third calculation measurement point is provided between the connection point and the power consumption load, and may be referred to as a measurement point 3.
Wherein, the metering point 1 is a metering point (settlement metering point) for off-line and on-line, the positive active power is off-line electric quantity, and the negative active power is on-line electric quantity; the metering point 2 is a power generation internet metering point (settlement metering point), the positive active power is the power consumption of the power generation equipment, and the reverse active power is the pure internet power; the metering point 3 is a customer self-electricity consumption metering point (the settlement metering point can be understood as an examination metering point), and the positive active electricity is the user off-line electricity quantity.
Step S120: and determining a target monitoring strategy hit by the target to be monitored according to the determined internet access type, wherein the target monitoring strategy is a first night electric quantity abnormal strategy, or a second night electric quantity abnormal strategy and/or an electric quantity unbalance strategy.
According to the logic relation of each metering point of distributed photovoltaic power generation and in combination with load characteristics, monitoring strategies for metering faults of photovoltaic power generation are set, the monitoring strategies comprise a first night electric quantity abnormity strategy, a second night electric quantity abnormity strategy and an electric quantity unbalance strategy, and a certain corresponding relation exists between the internet access type and each monitoring strategy, specifically, as shown in table 1:
TABLE 1
As can be seen from table 1, the full power grid-connection mode is applicable to the first night power abnormality strategy, and the remaining power grid-connection mode is applicable to the second night power abnormality strategy and the power imbalance strategy.
It should be noted that, in the present application, reference is made to a plurality of preset thresholds, etc., and the preceding words "first", "second", "third", etc. do not have any practical meaning.
Step S130: and sampling the electric meter of the target to be monitored to obtain sampling data containing a plurality of acquisition points.
And then sampling the ammeter of the target to be monitored, wherein the sampling can be carried out according to a preset interval, for example, sampling is carried out once every 1h, 24 acquisition points exist in one day, 24 groups of data corresponding to the 24 acquisition points are obtained, sampling can be carried out once every 15min, 96 acquisition points and 96 groups of data corresponding to the 96 acquisition points are obtained in one day, the preset interval can be set according to the monitoring precision, the sampling can be carried out once every 1h according to the type of the ammeter product, for example, a common ammeter, sampling is carried out once every 15min if the ammeter is an HPLC intelligent ammeter.
The sampling data includes, but is not limited to, forward and reverse active electric quantities of each settlement metering point, and the like, and specific sampling data can be set according to a set monitoring strategy, which is not limited in the present application. The process of sampling data may further include processing the acquired data, such as obtaining designated data through calculation, which is not limited in this application. Which data to collect and how to process the collected data can be set according to specific policy requirements, which is not limited in the present application.
Step S140: and monitoring the metering faults of the target to be monitored according to the sampling data and the determined target monitoring strategy.
Simply understanding, if the hit target monitoring strategy is a first night electric quantity abnormity strategy and the sampling data meets the first night electric quantity abnormity strategy, determining that the target to be monitored is most likely to have a metering fault, triggering a metering fault work order corresponding to the first night electric quantity abnormity strategy, and sending the metering fault work order to a manual department for further auditing.
If the determined internet surfing type is the residual power internet surfing, the hit target monitoring strategy is any one or two of a second night power quantity abnormal strategy and a power quantity unbalance strategy. If the sampled data meet the second night electric quantity abnormal strategy, determining that the target to be monitored is most likely to have a metering fault, triggering a metering fault work order corresponding to the second night electric quantity abnormal strategy, sending the metering fault work order to a manual place, and performing further auditing; and if the sampled data also meets the electric quantity unbalance strategy, determining that the target to be monitored is most likely to have a metering fault, triggering a metering fault work order corresponding to the electric quantity unbalance strategy, and sending the metering fault work order to a manual place for further auditing.
It should be noted that the second night power abnormality strategy and the power unbalance strategy are in a parallel relationship, and it can be understood that the reason for generating the metering fault is not needed, the two strategies do not affect each other, and for the same monitoring target, the monitoring of the metering fault of the night power abnormality and the power unbalance can be performed simultaneously, or only one of the two strategies can be monitored.
According to the method shown in fig. 1, according to the internet type of the user, according to the logical relationship of each metering point of the distributed photovoltaic power generation and the load characteristics, the monitoring strategy of the metering faults of the photovoltaic power generation is set, the monitoring strategy comprises a first night electric quantity abnormity strategy, a second night electric quantity abnormity strategy and an electric quantity unbalance strategy, the electric meter of the target to be monitored acquires required data, and the metering faults of the target to be monitored are monitored according to the sampling data and the determined target monitoring strategy. This application has realized accurate, automatic, the intelligent judgement of photovoltaic power generation measurement trouble, has broken away from and has adopted a large amount of manual works to examine among the prior art, and the cost of labor is high, and the current situation that monitoring accuracy is low for judge the rate of accuracy and promote greatly.
In some embodiments of the present application, in the above method, the target monitoring policy is a nighttime power quantity exception policy; the sampling data includes: a first reverse active electric quantity at a first time point and a second reverse active electric quantity at a second time point at a first calculation measurement point, wherein the power distribution network is connected with a photovoltaic generator, and the first calculation measurement point is arranged between the power distribution network and the photovoltaic generator; the monitoring the metering fault of the target to be monitored according to the sampling data and the determined monitoring strategy comprises the following steps: and if the difference between the first reverse active electric quantity and the second reverse active electric quantity is greater than or equal to a first preset threshold value, triggering an electricity stealing work order corresponding to the first nighttime electric quantity abnormity strategy.
Referring to fig. 2 again, the photovoltaic power generation is performed by solar power generation, and power generation is impossible at night, and the power amount on the internet at night does not change, so that the power amount (the second reverse active power amount) in the previous day and night can be subtracted from the power amount (the first reverse active power amount) at the first time point in the morning each day, and if the power amount difference is greater than a threshold value, such as 0.01kWh, a power stealing work order corresponding to the first night power amount abnormality strategy, such as a "night power amount abnormality" work order, can be triggered, and metering faults such as power generation at night missing can be found in time.
If taking two time points, namely 21 00 and 05, of the intelligent electric energy meter at the metering point 1 every day, the reverse active electric quantity is obtained if W 1 reverse (5 -W 1 reverse (21 And if the current power is more than or equal to 0.01, triggering a work order of 'abnormal electric quantity at night'.
In some embodiments of the present application, in the method described above, the target monitoring policy is a second nighttime power anomaly policy; the sampling data includes: a third reverse active electric quantity at a third time point and a fourth reverse active electric quantity at a fourth time point of a second settlement metering point, wherein a photovoltaic generator is connected to a power distribution network, a connection point between the power distribution network and the photovoltaic generator is also connected to an electric load, a first settlement metering point is arranged between the power distribution network and the connection point, the second settlement metering point is arranged between the photovoltaic generator and the connection point, and a third settlement metering point is arranged between the connection point and the electric load; the monitoring the metering fault of the target to be monitored according to the sampling data and the determined monitoring strategy comprises the following steps: and if the difference between the third reverse active electric quantity and the fourth reverse active electric quantity is greater than or equal to a second preset threshold value, triggering an electricity stealing work order corresponding to the second night electric quantity abnormity strategy.
Referring to fig. 3 again, in the remaining power on-line mode, reverse active power quantities at different time points of the second settlement metering point, that is, the metering point 2, may be collected, for example, a third reverse active power quantity at a third time point of the metering point 2 and a fourth reverse active power quantity at a fourth time point are subtracted from each other, and if the difference is greater than or equal to a second preset threshold, for example, 0.01kWh, a power stealing work order corresponding to the second nighttime power quantity exception policy is triggered.
If taking two time points of 21 00 and 05 2 reverse (5 -W 2 reverse (21 And if the power stealing work order is more than or equal to 0.01, triggering a power stealing work order corresponding to the second night power abnormality strategy, such as a work order of 'night power abnormality'.
In some embodiments of the present application, in the above method, the target monitoring policy is an electric quantity imbalance policy, and the sampling data is forward and reverse active electric quantities including a plurality of collecting points, which are collected by the electric meter of the target to be monitored according to a preset period; the monitoring the metering fault of the target to be monitored according to the sampling data and the determined monitoring strategy comprises the following steps: and determining whether the sampling data contains more than or equal to a preset proportion of collection points meeting the electric quantity unbalance strategy, and if so, triggering a power stealing work order corresponding to the electric quantity unbalance strategy.
If the target monitoring strategy hit by the target to be monitored is an electric quantity unbalance strategy, taking 24 collection points in one day as an example, determining whether each collected electricity meets the electric quantity unbalance strategy, accumulating the number of the collection points meeting the electric quantity unbalance strategy, and if the ratio of the number of the collection points meeting the strategy to the total number of the collection points in the sampling data is larger than or equal to a preset ratio threshold value, triggering an electricity stealing work order corresponding to the electric quantity unbalance strategy. For example, the preset proportion threshold is 30%, when the number of collection points meeting the power unbalance policy is accumulated to 8, it may be determined that the target to be monitored is most likely to have a metering fault, a metering fault work order corresponding to the power unbalance policy is triggered, and the metering fault work order is sent to a worker for further determination and auditing.
Specifically, the metering fault value of each acquisition point can be determined; if the metering fault value of one acquisition point is larger than or equal to a third preset threshold value, determining that the acquisition point meets the electric quantity unbalance strategy, and adding one to the number of the acquisition points meeting the electric quantity unbalance strategy; when the ratio of the number of the acquisition points meeting the electric quantity unbalance strategy to the number of all the acquisition points in the sampled data is greater than or equal to a preset ratio, determining that the sampled data contains the acquisition points meeting the electric quantity unbalance strategy, wherein the metering fault value is determined according to the following formula:
wherein, the W 1 is just Representing the positive active electric quantity, W, of the first calculation metering point 1 to Representing the reverse active electric quantity of the first calculation metering point; w 2 is right Representing the positive active electric quantity, W, of the second calculation metering point 2 in the reverse direction Representing the reverse active electric quantity of the second calculation metering point; w 3 is right Representing the positive active electric quantity, W, of the third calculation metering point 3 conversely And representing the reverse active electric quantity of the third calculation metering point.
In specific implementation, please refer to fig. 3, forward and reverse active electric quantities of the intelligent electric energy meters of the metering point 1, the metering point 2 and the metering point 3 are respectively collected, and whether one collecting point meets the electric quantity unbalance policy or not is determined according to the following algorithm:
through active electric quantity curves of three metering points, 24 whole-point times per day are taken, and if the time exceeds 8 points (the preset proportion threshold value is set to be 30 percent), the 'electric quantity unbalance' work order is triggered.
Fig. 2 shows a schematic flow chart of a monitoring method for a photovoltaic power generation metering fault according to another embodiment of the present application, and as can be seen from fig. 2, the present embodiment includes:
acquiring the internet surfing type of a target to be monitored, wherein the internet surfing type is surplus electricity internet surfing; and determining a target monitoring strategy hit by the target to be monitored according to the determined internet access type, wherein the target monitoring strategy is an electric quantity unbalance strategy.
Sampling the ammeter of a target to be monitored every 1h within 24 hours to obtain sampling data containing 24 acquisition points; and determining whether each acquisition point in the sampled data meets the electric quantity unbalance strategy.
And determining that the number of the acquisition points meeting the electric quantity unbalance strategy is more than or equal to 8, if so, triggering an electric quantity unbalance electricity stealing work order, and if not, returning to the sampling step.
Fig. 3 shows a schematic structural diagram of a monitoring device for a metering failure of photovoltaic power generation according to another embodiment of the present application, and as can be seen from fig. 3, the monitoring device 300 for a metering failure of photovoltaic power generation includes:
an obtaining unit 310, configured to obtain an internet type of a target to be monitored, where the internet type is a full internet or a surplus internet;
a hit unit 320, configured to determine, according to the determined internet access type, a target monitoring policy hit by the target to be monitored, where the target monitoring policy is a first night power abnormal policy, or a second night power abnormal policy and/or a power unbalance policy;
the sampling unit 330 is configured to sample the electric meter of the target to be monitored to obtain sampling data including multiple sampling points;
and the monitoring unit 340 is configured to monitor the metering failure of the target to be monitored according to the sampling data and the determined target monitoring policy.
In some embodiments of the present application, in the above apparatus, the hit unit 320 is configured to determine that the target monitoring policy hit by the target to be monitored is a first nighttime power anomaly policy if the determined internet access type is full internet access; and if the determined internet access type is the residual electricity internet access type, determining that the target monitoring strategy hit by the target to be monitored is a second night electricity quantity abnormity strategy and/or an electricity quantity unbalance strategy.
In some embodiments of the present application, in the above apparatus, the target monitoring policy is a nighttime power anomaly policy; the sampling data includes: a first reverse active electric quantity at a first time point and a second reverse active electric quantity at a second time point at a first calculation measurement point, wherein the power distribution network is connected with a photovoltaic generator, and the first calculation measurement point is arranged between the power distribution network and the photovoltaic generator; the monitoring unit 340 is configured to trigger an electricity stealing work order corresponding to the first nighttime electricity quantity exception policy if a difference between the first reverse active electricity quantity and the second reverse active electricity quantity is greater than or equal to a first preset threshold.
In some embodiments of the present application, in the above apparatus, the target monitoring policy is a second nighttime power anomaly policy; the sampling data includes: a third reverse active electric quantity at a third time point and a fourth reverse active electric quantity at a fourth time point of a second settlement metering point, wherein a photovoltaic generator is connected to a power distribution network, a connection point between the power distribution network and the photovoltaic generator is also connected to an electric load, a first settlement metering point is arranged between the power distribution network and the connection point, the second settlement metering point is arranged between the photovoltaic generator and the connection point, and a third settlement metering point is arranged between the connection point and the electric load; and the monitoring unit 340 is configured to trigger a power stealing work order corresponding to the second nighttime power anomaly policy if a difference between the third reverse active power amount and the fourth reverse active power amount is greater than or equal to a second preset threshold.
In some embodiments of the present application, in the above apparatus, the target monitoring policy is an electric quantity imbalance policy, and the sampling data is forward and reverse active electric quantities including a plurality of collecting points, which are collected by the electric meter of the target to be monitored according to a preset period; the monitoring unit 340 is configured to determine whether the sampled data includes more than or equal to a preset proportion of collection points that satisfy the power imbalance policy, and if so, trigger a power stealing work order corresponding to the power imbalance policy.
In some embodiments of the present application, in the above apparatus, the monitoring unit 340 is configured to determine a metering failure value at each collection point; if the metering fault value of one acquisition point is larger than or equal to a third preset threshold value, determining that the acquisition point meets the electric quantity unbalance strategy, and adding one to the number of the acquisition points meeting the electric quantity unbalance strategy; and when the ratio of the number of the acquisition points meeting the electric quantity unbalance strategy to the number of all the acquisition points in the sampled data is greater than or equal to a preset ratio, determining that the sampled data contains the acquisition points meeting the electric quantity unbalance strategy, wherein the number of the acquisition points is greater than or equal to the preset ratio.
In some embodiments of the present application, in the above apparatus, the metering failure value is determined according to:
wherein, the W 1 is just Representing the positive active electric quantity, W, of the first calculation metering point 1 to Representing the reverse active electric quantity of the first calculation metering point; w 2 is just Representing the positive active electric quantity, W, of the second calculation metering point 2 reverse Representing the reverse active electric quantity of the second calculation metering point; w 3 is just Representing the positive active electric quantity, W, of the third calculation metering point 3 conversely And representing the reverse active electric quantity of the third calculation metering point.
It should be noted that the monitoring device for photovoltaic power generation metering faults can implement the monitoring method for photovoltaic power generation metering faults one by one, and details are not repeated here.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application. Referring to fig. 4, at a hardware level, the electronic device includes a processor, and optionally further includes an internal bus, a network interface, and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory, such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.
The processor, the network interface, and the memory may be connected to each other via an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 4, but that does not indicate only one bus or one type of bus.
And the memory is used for storing programs. In particular, the program may include program code comprising computer operating instructions. The memory may include both memory and non-volatile storage and provides instructions and data to the processor.
And the processor reads a corresponding computer program from the nonvolatile memory into the memory and then runs the computer program to form a monitoring device for the photovoltaic power generation metering faults on a logic level. And the processor is used for executing the program stored in the memory and is specifically used for executing the method.
The method executed by the monitoring device for the photovoltaic power generation metering fault disclosed by the embodiment of fig. 3 of the application can be applied to or realized by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.
The electronic device may further execute the method executed by the monitoring device for photovoltaic power generation metering failure in fig. 3, and implement the functions of the monitoring device for photovoltaic power generation metering failure in the embodiment shown in fig. 3, which are not described herein again in this embodiment of the present application.
The embodiment of the application also provides a computer readable storage medium, which stores one or more programs, wherein the one or more programs include instructions, which when executed by an electronic device including a plurality of application programs, can cause the electronic device to execute the method executed by the monitoring device for the photovoltaic power generation metering fault in the embodiment shown in fig. 3, and is specifically used for executing the method.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A monitoring method for photovoltaic power generation metering faults is characterized by comprising the following steps:
acquiring the internet surfing type of a target to be monitored, wherein the internet surfing type is full internet surfing or surplus electricity internet surfing;
determining a target monitoring strategy hit by the target to be monitored according to the determined internet access type, wherein the target monitoring strategy is a first night electric quantity abnormal strategy, or a second night electric quantity abnormal strategy and/or an electric quantity unbalance strategy;
sampling the ammeter of the target to be monitored to obtain sampling data containing a plurality of acquisition points;
and monitoring the metering faults of the target to be monitored according to the sampling data and the determined target monitoring strategy.
2. The method according to claim 1, wherein the determining a target monitoring policy hit by the target to be monitored according to the determined internet access type, the target monitoring policy being a nighttime power abnormal policy and/or a power unbalance policy includes:
if the determined internet surfing type is full internet surfing, determining that the target monitoring strategy hit by the target to be monitored is a first night electric quantity abnormity strategy;
and if the determined internet access type is the residual electricity internet access type, determining that the target monitoring strategy hit by the target to be monitored is a second night electricity quantity abnormity strategy and/or an electricity quantity unbalance strategy.
3. The method of claim 2, wherein the target monitoring strategy is a nighttime battery anomaly strategy; the sampling data includes: a first reverse active electric quantity at a first time point and a second reverse active electric quantity at a second time point at a first calculation measurement point, wherein the power distribution network is connected with a photovoltaic generator, and the first calculation measurement point is arranged between the power distribution network and the photovoltaic generator;
the monitoring the metering fault of the target to be monitored according to the sampling data and the determined monitoring strategy comprises the following steps:
and if the difference between the first reverse active electric quantity and the second reverse active electric quantity is greater than or equal to a first preset threshold value, triggering an electricity stealing work order corresponding to the first nighttime electric quantity abnormity strategy.
4. The method of claim 2, wherein the target monitoring policy is a second nighttime battery exception policy; the sampling data includes: a third reverse active electric quantity at a third time point and a fourth reverse active electric quantity at a fourth time point of a second settlement metering point, wherein a photovoltaic generator is connected to a power distribution network, a connection point between the power distribution network and the photovoltaic generator is also connected to an electric load, a first settlement metering point is arranged between the power distribution network and the connection point, the second settlement metering point is arranged between the photovoltaic generator and the connection point, and a third settlement metering point is arranged between the connection point and the electric load;
the monitoring the metering fault of the target to be monitored according to the sampling data and the determined monitoring strategy comprises the following steps:
and if the difference between the third reverse active electric quantity and the fourth reverse active electric quantity is greater than or equal to a second preset threshold value, triggering an electricity stealing work order corresponding to the second night electric quantity abnormity strategy.
5. The method according to claim 1, wherein the target monitoring strategy is a power unbalance strategy, and the sampling data are forward and reverse active power quantities including a plurality of collecting points, which are collected by the electric meter of the target to be monitored according to a preset period;
the monitoring the metering fault of the target to be monitored according to the sampling data and the determined monitoring strategy comprises the following steps:
and determining whether the sampling data contains more than or equal to a preset proportion of collection points meeting the electric quantity unbalance strategy, and if so, triggering a power stealing work order corresponding to the electric quantity unbalance strategy.
6. The method of claim 5, wherein the determining whether the sampled data contains a greater than or equal to a preset proportional number of acquisition points that satisfy the charge imbalance policy comprises:
determining a metering fault value of each acquisition point;
if the metering fault value of one acquisition point is larger than or equal to a third preset threshold value, determining that the acquisition point meets the electric quantity unbalance strategy, and adding one to the number of the acquisition points meeting the electric quantity unbalance strategy;
and when the ratio of the number of the acquisition points meeting the electric quantity unbalance strategy to the number of all the acquisition points in the sampled data is greater than or equal to a preset ratio, determining that the sampled data contains the acquisition points meeting the electric quantity unbalance strategy, wherein the number of the acquisition points is greater than or equal to the preset ratio.
7. The method of claim 6, wherein the metrology failure value is determined according to the following equation:
wherein, the W 1 is just Representing the positive active electric quantity, W, of the first calculation metering point 1 to Representing the reverse active electric quantity of the first calculation metering point; w 2 is just Representing the positive active electric quantity, W, of the second calculation metering point 2 reverse Representing the reverse active electric quantity of the second calculation metering point; w 3 is just Representing the positive active electric quantity, W, of the third calculation metering point 3 conversely And representing the reverse active electric quantity of the third calculation metering point.
8. A device for monitoring a photovoltaic power generation metering failure, the device comprising:
the device comprises an acquisition unit, a monitoring unit and a monitoring unit, wherein the acquisition unit is used for acquiring the internet surfing type of a target to be monitored, and the internet surfing type is full internet surfing or surplus electricity internet surfing;
the target monitoring strategy is a first night electric quantity abnormal strategy or a second night electric quantity abnormal strategy and/or an electric quantity unbalance strategy;
the sampling unit is used for sampling the ammeter of the target to be monitored to obtain sampling data containing a plurality of acquisition points;
and the monitoring unit is used for monitoring the metering fault of the target to be monitored according to the sampling data and the determined target monitoring strategy.
9. An electronic device, comprising:
a processor; and
a memory arranged to store computer executable instructions that, when executed, cause the processor to perform the method of any one of claims 1 to 7.
10. A computer readable storage medium storing one or more programs which, when executed by an electronic device including a plurality of application programs, cause the electronic device to perform the method of any of claims 1-7.
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