CN117040437A - Distributed photovoltaic equipment leakage current monitoring and controlling method and system - Google Patents
Distributed photovoltaic equipment leakage current monitoring and controlling method and system Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
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- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
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- 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
- H02J3/381—Dispersed generators
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- H—ELECTRICITY
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- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
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Abstract
The invention discloses a distributed photovoltaic equipment leakage current monitoring and controlling method and system, and relates to the technical field of data processing, wherein the method comprises the following steps: q distributed photovoltaic devices of a first photovoltaic grid-connected system are obtained; building a photovoltaic leakage current monitoring system to obtain Q groups of real-time leakage current signal sets; performing signal compensation on the Q-group real-time leakage current signal sets through the Q-group real-time sensing environment signal sets to obtain Q-group equipment leakage current signal sets; and constructing a leakage current tracing analysis model, performing tracing analysis on the leakage current signal set of the Q-group equipment to obtain a leakage current tracing analysis result, inputting a leakage current operation and maintenance map to obtain a leakage current operation and maintenance scheme, and performing leakage current control. The invention solves the technical problems of low efficiency and low accuracy of monitoring and controlling the leakage current of the distributed photovoltaic equipment in the prior art, and achieves the technical effect of improving the efficiency and accuracy of monitoring and controlling the leakage current of the distributed photovoltaic equipment through the traceable analysis of the leakage current.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a leakage current monitoring and controlling method and system for distributed photovoltaic equipment.
Background
The grid-connected photovoltaic power generation system can convert direct current output by the solar cell array into alternating current with the same amplitude, same frequency and same phase as the voltage of the power grid, and realize connection with the power grid and power transmission to the power grid. However, as distributed photovoltaic power stations are distributed and distributed, the devices are various, various wiring from the photovoltaic array to the grid-connected inverter is very complex, line leakage faults are easy to cause, and leakage monitoring and control are required to be carried out in order to ensure safe and stable operation of the photovoltaic power stations, but the current leakage current monitoring method of the photovoltaic devices is single and not intelligent enough, and the problem of low leakage current monitoring accuracy exists.
Disclosure of Invention
The application provides a distributed photovoltaic equipment leakage current monitoring and controlling method and system, which are used for solving the technical problems of low efficiency and low accuracy of distributed photovoltaic equipment leakage current monitoring and controlling in the prior art.
In a first aspect of the present application, there is provided a distributed photovoltaic device leakage current monitoring and controlling method, the method comprising: obtaining a first photovoltaic grid-connected system, wherein the first photovoltaic grid-connected system comprises Q distributed photovoltaic devices, and Q is a positive integer greater than 1; building a photovoltaic leakage current monitoring system based on the layout of the leakage current monitoring sensors of the first photovoltaic grid-connected system, wherein the photovoltaic leakage current monitoring system comprises Q photovoltaic leakage current monitoring sensing units; executing real-time equipment leakage current monitoring of the first photovoltaic grid-connected system based on the photovoltaic leakage current monitoring system to obtain a Q-group real-time leakage current signal set; acquiring a Q-group real-time sensing environment signal set of the photovoltaic leakage current monitoring system, and performing signal compensation on the Q-group real-time leakage current signal set based on the Q-group real-time sensing environment signal set to acquire a Q-group equipment leakage current signal set; constructing a leakage current traceability analysis model based on the Q distributed photovoltaic devices, wherein the leakage current traceability analysis model comprises Q leakage current traceability analysis units; performing traceability analysis on the leakage current signal set of the Q-group equipment based on the leakage current traceability analysis model to obtain a leakage current traceability analysis result; and inputting the leakage current tracing analysis result into a pre-constructed leakage current operation and maintenance map to obtain a leakage current operation and maintenance scheme, and controlling the leakage current of the first photovoltaic grid-connected system according to the leakage current operation and maintenance scheme.
In a second aspect of the present application, there is provided a distributed photovoltaic device leakage current monitoring and management system, the system comprising: the system comprises a first photovoltaic grid-connected system acquisition module, a second photovoltaic grid-connected system acquisition module and a third photovoltaic grid-connected system acquisition module, wherein the first photovoltaic grid-connected system acquisition module is used for acquiring a first photovoltaic grid-connected system, the first photovoltaic grid-connected system comprises Q distributed photovoltaic devices, and Q is a positive integer greater than 1; the photovoltaic leakage current monitoring system building module is used for building a photovoltaic leakage current monitoring system based on the arrangement of the leakage current monitoring sensors of the first photovoltaic grid-connected system, wherein the photovoltaic leakage current monitoring system comprises Q photovoltaic leakage current monitoring sensing units; the real-time leakage current signal set acquisition module is used for performing real-time equipment leakage current monitoring of the first photovoltaic grid-connected system based on the photovoltaic leakage current monitoring system to obtain Q groups of real-time leakage current signal sets; the device leakage current signal set obtaining module is used for obtaining Q groups of real-time sensing environment signal sets of the photovoltaic leakage current monitoring system, and carrying out signal compensation on the Q groups of real-time leakage current signal sets based on the Q groups of real-time sensing environment signal sets to obtain Q groups of device leakage current signal sets; the leakage current traceability analysis model construction module is used for constructing a leakage current traceability analysis model based on the Q distributed photovoltaic devices, wherein the leakage current traceability analysis model comprises Q leakage current traceability analysis units; the leakage current tracing analysis result acquisition module is used for carrying out tracing analysis on the leakage current signal set of the Q group of equipment based on the leakage current tracing analysis model to obtain a leakage current tracing analysis result; the leakage current control module is used for inputting the leakage current tracing analysis result into a pre-constructed leakage current operation and maintenance map to obtain a leakage current operation and maintenance scheme, and performing leakage current control of the first photovoltaic grid-connected system according to the leakage current operation and maintenance scheme.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
the application provides a leakage current monitoring and controlling method of distributed photovoltaic equipment, which relates to the technical field of data processing and comprises the steps of obtaining Q distributed photovoltaic equipment of a first photovoltaic grid-connected system; building a photovoltaic leakage current monitoring system to obtain Q groups of real-time leakage current signal sets; performing signal compensation on the Q-group real-time leakage current signal sets through the Q-group real-time sensing environment signal sets to obtain Q-group equipment leakage current signal sets; the leakage current tracing analysis model is constructed, the leakage current tracing analysis result is obtained by tracing the leakage current signal set of the Q-group equipment, the leakage current tracing analysis result is input into a pre-constructed leakage current operation and maintenance map, a leakage current operation and maintenance scheme is obtained, leakage current control is carried out according to the leakage current operation and maintenance scheme, the technical problems of low leakage current monitoring and control efficiency and low accuracy of the distributed photovoltaic equipment in the prior art are solved, leakage current tracing analysis through field leakage current data is realized, leakage current control is carried out according to the tracing analysis result, and the efficiency and accuracy of leakage current monitoring and control of the distributed photovoltaic equipment are improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a leakage current monitoring and controlling method of a distributed photovoltaic device according to an embodiment of the present application;
fig. 2 is a schematic flow chart of building a photovoltaic leakage current monitoring system in the distributed photovoltaic device leakage current monitoring and controlling method according to the embodiment of the present application;
fig. 3 is a schematic flow chart of obtaining a leakage current tracing analysis result in the leakage current monitoring and controlling method of the distributed photovoltaic device according to the embodiment of the present application;
fig. 4 is a schematic structural diagram of a leakage current monitoring and controlling system of a distributed photovoltaic device according to an embodiment of the present application.
Reference numerals illustrate: the photovoltaic grid-connected system comprises a first photovoltaic grid-connected system acquisition module 11, a photovoltaic leakage current monitoring system construction module 12, a real-time leakage current signal set acquisition module 13, an equipment leakage current signal set acquisition module 14, a leakage current tracing analysis model construction module 15, a leakage current tracing analysis result acquisition module 16 and a leakage current control module 17.
Detailed Description
The application provides a leakage current monitoring and controlling method for distributed photovoltaic equipment, which is used for solving the technical problems of low leakage current monitoring and controlling efficiency and low accuracy of the distributed photovoltaic equipment in the prior art.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. It will be apparent that the described embodiments are only some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above-described drawings are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise 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 server 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 modules not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
As shown in fig. 1, the present application provides a distributed photovoltaic device leakage current monitoring and controlling method, which includes:
s100: obtaining a first photovoltaic grid-connected system, wherein the first photovoltaic grid-connected system comprises Q distributed photovoltaic devices, and Q is a positive integer greater than 1;
specifically, a first photovoltaic grid-connected system is obtained, the first photovoltaic grid-connected system is a target photovoltaic grid-connected system, and the photovoltaic grid-connected system can convert direct current output by a solar cell array into alternating current with the same amplitude, same frequency and same phase as the voltage of a power grid, and is connected with the power grid and used for transmitting electric energy to the power grid. The photovoltaic power generation system can supply the redundant electric energy to the power grid when supplying power to the alternating current load when the sunlight is strong, and can also supply the electric energy to the load from the power grid when the sunlight is insufficient. The first photovoltaic grid-connected system comprises Q distributed photovoltaic devices, and comprises a photovoltaic module, an inverter, an energy storage system, a monitoring device, a distribution box and other devices, wherein Q is a positive integer greater than 1 and at least comprises one distributed photovoltaic device.
S200: building a photovoltaic leakage current monitoring system based on the layout of the leakage current monitoring sensors of the first photovoltaic grid-connected system, wherein the photovoltaic leakage current monitoring system comprises Q photovoltaic leakage current monitoring sensing units;
Specifically, based on the system structure of the first photovoltaic grid-connected system, a leakage current monitoring sensor is arranged at each key node of the system, the leakage current monitoring sensor is a device for monitoring leakage current, and according to the electromagnetic isolation and magnetic modulation working principle of a transformer, the tested alternating current micro-current and direct current isolation are converted into standard analog signals such as direct current and direct current voltage in linear proportion, and the like, and the leakage current monitoring sensor is widely applied to real-time monitoring of bus and each branch insulation condition of a direct current and alternating current power supply system. Based on the leakage current monitoring sensor, a photovoltaic leakage current monitoring system is built, and the photovoltaic leakage current monitoring system comprises Q photovoltaic leakage current monitoring sensing units which are used for respectively monitoring the bus bars of Q distributed photovoltaic devices and the insulation conditions of all branches.
Further, as shown in fig. 2, step S200 of the embodiment of the present application further includes:
s210: obtaining Q pieces of equipment basic information of the Q pieces of distributed photovoltaic equipment;
s220: performing leakage current monitoring sensitivity analysis based on the Q distributed photovoltaic devices to obtain Q leakage current monitoring sensitivities;
s230: based on the Q pieces of equipment basic information and the Q pieces of leakage current monitoring sensitivity, obtaining Q pieces of equipment leakage current monitoring layout decisions according to a leakage current monitoring layout database;
S240: and executing the layout of the leakage current monitoring sensor on the first photovoltaic grid-connected system based on the Q equipment leakage current monitoring layout decisions to generate the photovoltaic leakage current monitoring system.
Specifically, Q pieces of device basic information of the Q pieces of distributed photovoltaic devices are respectively extracted, including device types, functions, rated voltages, positions in a system, and the like, leakage current monitoring sensitivity analysis is respectively performed on the Q pieces of distributed photovoltaic devices according to past leakage current monitoring data of the Q pieces of distributed photovoltaic devices, Q pieces of leakage current monitoring sensitivity are obtained, and the more the number of leakage current times in a certain time is, the greater the leakage risk of the device is, and the higher the corresponding leakage current monitoring sensitivity is.
Further, based on the Q device basic information and the Q leakage current monitoring sensitivities, traversing a leakage current monitoring layout database, and matching the leakage current monitoring layout decisions of the Q corresponding devices, where the leakage current monitoring layout database is a database including a plurality of different devices and corresponding leakage current monitoring layout decision schemes, and the construction method may be: and obtaining a plurality of distributed photovoltaic equipment leakage current monitoring samples based on big data, wherein the samples comprise different photovoltaic equipment types and a plurality of corresponding leakage current monitoring schemes, and constructing the leakage current monitoring layout database according to the corresponding relation between the different photovoltaic equipment types and the leakage current monitoring schemes.
Further, the layout of the leakage current monitoring sensors is executed on the basis of the leakage current monitoring layout decisions of the Q devices, the layout of the leakage current monitoring sensors is executed on the Q distributed photovoltaic devices according to the corresponding leakage current monitoring layout decisions of the devices, the photovoltaic leakage current monitoring system is formed by a plurality of laid leakage current monitoring sensors, and leakage current monitoring can be executed on the Q devices.
Further, step S220 of the embodiment of the present application further includes:
s221: collecting Q leakage current monitoring records of the Q distributed photovoltaic devices based on a preset historical time zone;
s222: based on the Q leakage current monitoring records, calibrating leakage current abnormal triggering frequencies of the Q distributed photovoltaic devices respectively to obtain Q device leakage current abnormal triggering frequencies;
s223: and traversing the leakage current abnormal triggering frequencies of the Q devices to calculate the duty ratio of the leakage current abnormal triggering frequencies, and generating the Q leakage current monitoring sensitivities.
Specifically, a past period of operation time of the first photovoltaic grid-connected system is taken as a preset historical time zone, three months, half years and the like in the past can be taken as the preset historical time zone, specific time can be adaptively adjusted according to actual conditions, Q leakage current monitoring records of the Q distributed photovoltaic devices in the preset historical time zone are respectively collected based on the preset historical time zone, the Q distributed photovoltaic devices trigger leakage current abnormal frequencies are respectively calculated based on the Q leakage current monitoring records in combination with the preset historical time zone, frequency calibration is carried out, Q device leakage current abnormal triggering frequencies are obtained, the Q device leakage current abnormal triggering frequencies are traversed, the proportion of the leakage current abnormal triggering frequency of each device to the total triggering frequency is respectively calculated, the leakage current monitoring sensitivity of each device is set according to the proportion, the higher the triggering frequency proportion is, the corresponding leakage current monitoring sensitivity is higher, the Q leakage current monitoring sensitivity is obtained, the leakage current risk of different devices can be reflected, and the required leakage current monitoring sensitivity is larger.
S300: executing real-time equipment leakage current monitoring of the first photovoltaic grid-connected system based on the photovoltaic leakage current monitoring system to obtain a Q-group real-time leakage current signal set;
specifically, the photovoltaic leakage current monitoring system is used for carrying out real-time leakage current monitoring on each device of the first photovoltaic grid-connected system, respectively obtaining the real-time leakage current signals of the Q distributed photovoltaic devices to form Q groups of real-time leakage current signal sets,
s400: acquiring a Q-group real-time sensing environment signal set of the photovoltaic leakage current monitoring system, and performing signal compensation on the Q-group real-time leakage current signal set based on the Q-group real-time sensing environment signal set to acquire a Q-group equipment leakage current signal set;
specifically, by arranging environment monitoring sensors around the Q distributed photovoltaic devices, a Q-group real-time sensing environment signal set of the photovoltaic leakage current monitoring system is obtained, and based on the Q-group real-time sensing environment signal set, the interference degree of the environment on the leakage current monitoring sensors, such as the magnitude of environmental interference factors including humidity, acidity, electromagnetic interference and the like, is analyzed, corresponding compensation coefficients are generated according to the magnitude of the environmental interference factors, signal compensation correction is performed on leakage current signals in the Q-group real-time leakage current signal set according to the compensation coefficients, the Q-group real-time leakage current signals after compensation correction are used as the Q-group device leakage current signal set, and the Q-group device leakage current signal set corrects the interference of the environmental factors on leakage current monitoring data, so that the accuracy of the leakage current monitoring data is improved.
Further, step S400 of the embodiment of the present application further includes:
s410: traversing the Q groups of real-time sensing environment signal sets to obtain a first group of real-time sensing environment signal sets;
s420: performing environment abnormality influence degree identification of the leakage current monitoring sensor based on the first real-time sensing environment signal set to obtain a first sensing environment abnormality influence degree;
s430: obtaining a preset sensing environment abnormality influence degree;
s440: judging whether the first sensing environment abnormality influence degree meets the preset sensing environment abnormality influence degree or not;
s450: when the first sensing environment abnormality influence degree meets the preset sensing environment abnormality influence degree, a leakage current signal compensation instruction is obtained;
s460: and extracting a first group of real-time leakage current signal sets corresponding to the first group of real-time sensing environment signal sets according to the Q group of real-time leakage current signal sets based on the leakage current signal compensation instruction, and performing signal compensation on the first group of real-time leakage current signal sets based on the abnormal influence degree of the first sensing environment.
Specifically, a set of real-time sensing environment signal sets is randomly selected from the Q sets of real-time sensing environment signal sets, the set of real-time sensing environment signal sets is used as a first set of real-time sensing environment signal sets, environmental anomaly influence degree identification of the leakage current monitoring sensor is performed based on environment monitoring data in the first set of real-time sensing environment signal sets, corresponding weight coefficients are distributed to each environment parameter according to the interference degree, for example, larger weight is distributed to the environment magnetic field interference, environment monitoring data, for example, environment humidity data, environment temperature data, environment magnetic field data and the like in the first set of real-time sensing environment signal sets are obtained, difference value calculation is performed on the environment data and standard environment data, and the difference value is weighted by combining the corresponding weight coefficients, so that first sensing environment anomaly influence degree is obtained.
Further, according to the rule of influence of each environmental factor on the leakage current monitoring sensor, an environmental anomaly threshold is set and used as a preset sensing environmental anomaly influence degree, whether the first sensing environmental anomaly influence degree reaches the preset sensing environmental anomaly influence degree is judged, if not, the influence of the environmental factor on the leakage current monitoring sensor is indicated to be in a bearable range, monitoring data of the leakage current monitoring sensor can be directly used, and when the first sensing environmental anomaly influence degree reaches the preset sensing environmental anomaly influence degree, the accuracy of the environmental factor and the monitoring data of the leakage current monitoring sensor is indicated, and then a leakage current signal compensation instruction is generated.
Further, based on the leakage current signal compensation instruction, a first group of real-time leakage current signal set corresponding to the first group of real-time sensing environment signal set is extracted from the Q group of real-time leakage current signal sets, a corresponding compensation coefficient is calculated based on the abnormal influence value of the first sensing environment, signal compensation correction is performed on the leakage current signals in the first group of real-time leakage current signal sets according to the compensation coefficient, and the compensated and corrected real-time leakage current signals are used as equipment leakage current signal sets.
S500: constructing a leakage current traceability analysis model based on the Q distributed photovoltaic devices, wherein the leakage current traceability analysis model comprises Q leakage current traceability analysis units;
further, step S500 of the embodiment of the present application further includes:
s510: based on a BP neural network, obtaining a basic network architecture of the leakage current traceability analysis model;
s520: collecting the Q distributed photovoltaic devices based on big data;
s530: respectively performing supervised training on the Q leakage current traceability analysis record libraries of the equipment to obtain Q leakage current traceability analysis units meeting preset output accuracy;
s540: the Q leakage current traceability analysis units are used as parallel leakage current traceability analysis network layers;
s550: and embedding the parallel leakage current traceability analysis network layer into an implicit layer of the basic network architecture to generate the leakage current traceability analysis model.
Specifically, based on the Q distributed photovoltaic devices, historical leakage current traceability analysis record data of the Q devices are collected, Q leakage current traceability analysis units of the leakage current traceability analysis model are respectively constructed by combining with a BP neural network, the Q leakage current traceability analysis units form a leakage current traceability analysis model, the leakage current traceability analysis model comprises an input layer, an hidden layer and an output layer, and the specific construction process of the leakage current traceability analysis unit is as follows:
Firstly, a basic network architecture of a leakage current tracing analysis unit of the leakage current tracing analysis model is built based on a BP neural network, the BP neural network is a multi-layer feedforward neural network trained according to an error reverse propagation algorithm, a mathematical equation of a mapping relation between input and output is not required to be determined in advance, a certain rule is learned only through self training, and a result closest to an expected output value is obtained when an input value is given. Further, based on big data, Q device leakage current tracing analysis records of the Q distributed photovoltaic devices are respectively collected, Q device leakage current tracing analysis record libraries are generated, data in the Q device leakage current tracing analysis record libraries are used as training data, supervision training is respectively carried out on the basic network architecture of the leakage current tracing analysis units until the leakage current tracing analysis units reach convergence and meet preset output accuracy requirements, the Q leakage current tracing analysis units are obtained, the Q leakage current tracing analysis units are used as parallel leakage current tracing analysis network layers, the parallel leakage current tracing analysis network layers are embedded into hidden layers of the basic network architecture, and the input layers and the output layers are combined to generate the leakage current tracing analysis model, so that leakage current tracing analysis can be carried out on different device leakage current signals, namely system parameters causing leakage current fluctuation are calculated in a back-pushing mode according to field data.
S600: performing traceability analysis on the leakage current signal set of the Q-group equipment based on the leakage current traceability analysis model to obtain a leakage current traceability analysis result;
further, as shown in fig. 3, step S600 of the embodiment of the present application further includes:
s610: traversing the Q groups of equipment leakage current signal sets to obtain a first group of equipment leakage current signal sets;
s620: performing abnormal comparison on the first equipment leakage current signal set based on normal equipment leakage current constraint to obtain a first equipment leakage current abnormal comparison result;
s630: when the abnormal comparison result of the leakage current of the first equipment is that the leakage current of the first equipment does not pass, collecting a real-time photovoltaic equipment data set corresponding to the leakage current signal set of the first group of equipment;
s640: and inputting the first group of equipment leakage current signal sets and the real-time photovoltaic equipment data sets into leakage current traceability analysis units corresponding to the leakage current traceability analysis model to obtain a first leakage current traceability analysis result, and adding the first leakage current traceability analysis result to the leakage current traceability analysis result.
Specifically, a group of device leakage current signal sets are randomly extracted from the Q group of device leakage current signal sets to be used as a first group of device leakage current signal sets, abnormal comparison is carried out on the first group of device leakage current signal sets based on normal device leakage current constraint, and a first device leakage current abnormal comparison result is obtained, wherein the normal device leakage current constraint refers to a leakage current signal abnormal threshold, namely a minimum value of leakage current signal abnormal values, and is set according to influence degrees of leakage current signals with different values on a photovoltaic grid-connected system.
Further, when the leakage current anomaly comparison result of the first device is that the first device passes, no leakage current tracing analysis is performed, and when the leakage current signal of a certain device does not reach the leakage current signal anomaly threshold value, it is indicated that the leakage current signal is too small, and the influence on the photovoltaic grid-connected system can be ignored. In contrast, when the abnormal comparison result of the leakage current of the first device is that the leakage current signal of the first device fails, it is indicated that the leakage current signal of the first device is larger, and adverse effects may be caused to the system, then the real-time photovoltaic device data set corresponding to the leakage current signal set of the first device is collected, the leakage current signal set of the first device and the real-time photovoltaic device data set are input into the leakage current tracing analysis model, the leakage current tracing analysis unit corresponding to the first device performs the leakage current tracing analysis, and the first leakage current tracing analysis result of the first device is obtained. And by analogy, a Q-group leakage current traceability analysis result of the Q-group equipment is obtained, and the Q-group leakage current traceability analysis result is used as the leakage current traceability analysis result and can be used as reference data for follow-up leakage current control.
S700: and inputting the leakage current tracing analysis result into a pre-constructed leakage current operation and maintenance map to obtain a leakage current operation and maintenance scheme, and controlling the leakage current of the first photovoltaic grid-connected system according to the leakage current operation and maintenance scheme.
Specifically, the leakage current tracing analysis result is input into a pre-constructed leakage current operation and maintenance map to perform operation and maintenance scheme matching, a leakage current operation and maintenance scheme is obtained, each device of the first photovoltaic grid-connected system is subjected to leakage current control according to the leakage current operation and maintenance scheme, measures such as device replacement, circuit optimization, installation of a leakage protector and the like are adopted, so that the photovoltaic device is prevented from being polluted by external substances such as electrolyte, water and other dust, circuit faults, device damage and even potential safety hazards are caused, and safe operation of the first photovoltaic grid-connected system is ensured.
Further, step S700 of the embodiment of the present application further includes:
s710: based on the Q distributed photovoltaic devices, collecting leakage current traceability analysis results of a plurality of sample devices and leakage current operation and maintenance schemes of the plurality of sample devices respectively;
s720: performing mapping relation analysis based on the leakage current traceability analysis results of the plurality of sample devices and the leakage current operation and maintenance schemes of the plurality of sample devices to obtain a sample mapping relation;
s730: setting the Q distributed photovoltaic devices as Q leakage current operation and maintenance main bodies;
s740: setting a sample equipment leakage current traceability analysis result as an equipment leakage current control index characteristic, and setting a sample equipment leakage current operation and maintenance scheme as an equipment leakage current control response characteristic;
S750: obtaining a plurality of equipment leakage current control index characteristic parameters and a plurality of equipment leakage current control response characteristic parameters according to the leakage current tracing analysis results of the plurality of sample equipment and the leakage current operation and maintenance schemes of the plurality of sample equipment;
s760: based on a knowledge graph, constructing the leakage current operation and maintenance graph according to the Q leakage current operation and maintenance main bodies, the sample mapping relation, the equipment leakage current control index characteristic, the equipment leakage current control response characteristic, the equipment leakage current control index characteristic parameters and the equipment leakage current control response characteristic parameters.
Specifically, based on the Q distributed photovoltaic devices, a plurality of sample device leakage current tracing analysis results and a plurality of sample device leakage current operation and maintenance schemes are respectively acquired through big data, mapping relation analysis is performed based on the plurality of sample device leakage current tracing analysis results and the plurality of sample device leakage current operation and maintenance schemes, one-to-one correspondence relation between the plurality of sample device leakage current tracing analysis results and the plurality of sample device leakage current operation and maintenance schemes is found, and a sample mapping relation is obtained.
Further, the Q distributed photovoltaic devices are set as Q leakage current operation and maintenance main bodies, that is, main bodies for performing leakage maintenance, the leakage current tracing analysis results of the sample devices are set as device leakage current control indexing features, that is, retrieval features of operation and maintenance schemes, such as leakage of photovoltaic modules, leakage of distribution boxes, and the like, further, the leakage current tracing analysis results of the sample devices are used as a plurality of device leakage current control indexing feature parameters, and the leakage current operation and maintenance schemes of the sample devices are used as a plurality of device leakage current control response feature parameters.
Further, based on a knowledge graph principle, the Q leakage current operation and maintenance bodies, the sample mapping relation, the equipment leakage current control index feature, the equipment leakage current control response feature, the plurality of equipment leakage current control index feature parameters and the plurality of equipment leakage current control response feature parameters are combined to construct the leakage current operation and maintenance graph, the leakage current operation and maintenance graph can be used as an equipment leakage current operation and maintenance scheme search library, and the plurality of equipment leakage current control index feature parameters and the plurality of equipment leakage current control response feature parameters have a mapping queue relation. The knowledge graph describes knowledge resources and carriers thereof by using a visualization technology, and the graph which is used for explaining things after classification editing of a system is obtained by mining, analyzing, constructing, drawing and displaying the graph of the interrelation between the knowledge.
In summary, the embodiment of the application has at least the following technical effects:
q distributed photovoltaic devices of a first photovoltaic grid-connected system are obtained; building a photovoltaic leakage current monitoring system to obtain Q groups of real-time leakage current signal sets; performing signal compensation on the Q-group real-time leakage current signal sets through the Q-group real-time sensing environment signal sets to obtain Q-group equipment leakage current signal sets; and constructing a leakage current tracing analysis model, performing tracing analysis on a leakage current signal set of the Q-group equipment to obtain a leakage current tracing analysis result, inputting the leakage current tracing analysis result into a pre-constructed leakage current operation and maintenance map to obtain a leakage current operation and maintenance scheme, and performing leakage current control according to the leakage current operation and maintenance scheme.
The technical effects of performing leakage current traceability analysis through on-site leakage current data, performing leakage current management and control according to traceability analysis results, and improving efficiency and accuracy of leakage current monitoring and control of the distributed photovoltaic equipment are achieved.
Example two
Based on the same inventive concept as the leakage current monitoring and controlling method of the distributed photovoltaic device in the foregoing embodiment, as shown in fig. 4, the present application provides a leakage current monitoring and controlling system of the distributed photovoltaic device, and the embodiments of the system and method in the embodiments of the present application are based on the same inventive concept. Wherein the system comprises:
the first photovoltaic grid-connected system acquisition module 11 is used for acquiring a first photovoltaic grid-connected system, wherein the first photovoltaic grid-connected system comprises Q distributed photovoltaic devices, and Q is a positive integer greater than 1;
the photovoltaic leakage current monitoring system building module 12 is used for building a photovoltaic leakage current monitoring system based on the arrangement of the leakage current monitoring sensors of the first photovoltaic grid-connected system, wherein the photovoltaic leakage current monitoring system comprises Q photovoltaic leakage current monitoring sensing units;
The real-time leakage current signal set acquisition module 13 is used for performing real-time equipment leakage current monitoring of the first photovoltaic grid-connected system based on the photovoltaic leakage current monitoring system to obtain Q groups of real-time leakage current signal sets;
the device leakage current signal set obtaining module 14, wherein the device leakage current signal set obtaining module 14 is configured to obtain a Q-group real-time sensing environment signal set of the photovoltaic leakage current monitoring system, and perform signal compensation on the Q-group real-time leakage current signal set based on the Q-group real-time sensing environment signal set, so as to obtain a Q-group device leakage current signal set;
the leakage current traceability analysis model construction module 15 is used for constructing a leakage current traceability analysis model based on the Q distributed photovoltaic devices, wherein the leakage current traceability analysis model comprises Q leakage current traceability analysis units;
the leakage current tracing analysis result acquisition module 16 is used for performing tracing analysis on the leakage current signal set of the Q group of equipment based on the leakage current tracing analysis model to obtain a leakage current tracing analysis result;
The leakage current control module 17 is configured to input the leakage current tracing analysis result into a pre-constructed leakage current operation and maintenance map, obtain a leakage current operation and maintenance scheme, and perform leakage current control of the first photovoltaic grid-connected system according to the leakage current operation and maintenance scheme.
Further, the photovoltaic leakage current monitoring system building module 12 is further configured to perform the following steps:
obtaining Q pieces of equipment basic information of the Q pieces of distributed photovoltaic equipment;
performing leakage current monitoring sensitivity analysis based on the Q distributed photovoltaic devices to obtain Q leakage current monitoring sensitivities;
based on the Q pieces of equipment basic information and the Q pieces of leakage current monitoring sensitivity, obtaining Q pieces of equipment leakage current monitoring layout decisions according to a leakage current monitoring layout database;
and executing the layout of the leakage current monitoring sensor on the first photovoltaic grid-connected system based on the Q equipment leakage current monitoring layout decisions to generate the photovoltaic leakage current monitoring system.
Further, the photovoltaic leakage current monitoring system building module 12 is further configured to perform the following steps:
collecting Q leakage current monitoring records of the Q distributed photovoltaic devices based on a preset historical time zone;
Based on the Q leakage current monitoring records, calibrating leakage current abnormal triggering frequencies of the Q distributed photovoltaic devices respectively to obtain Q device leakage current abnormal triggering frequencies;
and traversing the leakage current abnormal triggering frequencies of the Q devices to calculate the duty ratio of the leakage current abnormal triggering frequencies, and generating the Q leakage current monitoring sensitivities.
Further, the device leakage current signal set obtaining module 14 is further configured to perform the following steps:
traversing the Q groups of real-time sensing environment signal sets to obtain a first group of real-time sensing environment signal sets;
performing environment abnormality influence degree identification of the leakage current monitoring sensor based on the first real-time sensing environment signal set to obtain a first sensing environment abnormality influence degree;
obtaining a preset sensing environment abnormality influence degree;
judging whether the first sensing environment abnormality influence degree meets the preset sensing environment abnormality influence degree or not;
when the first sensing environment abnormality influence degree meets the preset sensing environment abnormality influence degree, a leakage current signal compensation instruction is obtained;
and extracting a first group of real-time leakage current signal sets corresponding to the first group of real-time sensing environment signal sets according to the Q group of real-time leakage current signal sets based on the leakage current signal compensation instruction, and performing signal compensation on the first group of real-time leakage current signal sets based on the abnormal influence degree of the first sensing environment.
Further, the leakage current traceability analysis model construction module 15 is further configured to execute the following steps:
based on a BP neural network, obtaining a basic network architecture of the leakage current traceability analysis model;
collecting the Q distributed photovoltaic devices based on big data;
respectively performing supervised training on the Q leakage current traceability analysis record libraries of the equipment to obtain Q leakage current traceability analysis units meeting preset output accuracy;
the Q leakage current traceability analysis units are used as parallel leakage current traceability analysis network layers;
and embedding the parallel leakage current traceability analysis network layer into an implicit layer of the basic network architecture to generate the leakage current traceability analysis model.
Further, the leakage current traceability analysis result obtaining module 16 is further configured to execute the following steps:
traversing the Q groups of equipment leakage current signal sets to obtain a first group of equipment leakage current signal sets;
performing abnormal comparison on the first equipment leakage current signal set based on normal equipment leakage current constraint to obtain a first equipment leakage current abnormal comparison result;
when the abnormal comparison result of the leakage current of the first equipment is that the leakage current of the first equipment does not pass, collecting a real-time photovoltaic equipment data set corresponding to the leakage current signal set of the first group of equipment;
And inputting the first group of equipment leakage current signal sets and the real-time photovoltaic equipment data sets into leakage current traceability analysis units corresponding to the leakage current traceability analysis model to obtain a first leakage current traceability analysis result, and adding the first leakage current traceability analysis result to the leakage current traceability analysis result.
Further, the leakage current management module 17 is further configured to perform the following steps:
based on the Q distributed photovoltaic devices, collecting leakage current traceability analysis results of a plurality of sample devices and leakage current operation and maintenance schemes of the plurality of sample devices respectively;
performing mapping relation analysis based on the leakage current traceability analysis results of the plurality of sample devices and the leakage current operation and maintenance schemes of the plurality of sample devices to obtain a sample mapping relation;
setting the Q distributed photovoltaic devices as Q leakage current operation and maintenance main bodies;
setting a sample equipment leakage current traceability analysis result as an equipment leakage current control index characteristic, and setting a sample equipment leakage current operation and maintenance scheme as an equipment leakage current control response characteristic;
obtaining a plurality of equipment leakage current control index characteristic parameters and a plurality of equipment leakage current control response characteristic parameters according to the leakage current tracing analysis results of the plurality of sample equipment and the leakage current operation and maintenance schemes of the plurality of sample equipment;
Based on a knowledge graph, constructing the leakage current operation and maintenance graph according to the Q leakage current operation and maintenance main bodies, the sample mapping relation, the equipment leakage current control index characteristic, the equipment leakage current control response characteristic, the equipment leakage current control index characteristic parameters and the equipment leakage current control response characteristic parameters.
It should be noted that the sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. And the foregoing description has been directed to specific embodiments of this specification. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The foregoing description of the preferred embodiments of the application is not intended to limit the application to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the application are intended to be included within the scope of the application.
The specification and figures are merely exemplary illustrations of the present application and are considered to cover any and all modifications, variations, combinations, or equivalents that fall within the scope of the application. It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the scope of the application. Thus, the present application is intended to include such modifications and alterations insofar as they come within the scope of the application or the equivalents thereof.
Claims (8)
1. The method for monitoring and controlling the leakage current of the distributed photovoltaic equipment is characterized by comprising the following steps of:
obtaining a first photovoltaic grid-connected system, wherein the first photovoltaic grid-connected system comprises Q distributed photovoltaic devices, and Q is a positive integer greater than 1;
building a photovoltaic leakage current monitoring system based on the layout of the leakage current monitoring sensors of the first photovoltaic grid-connected system, wherein the photovoltaic leakage current monitoring system comprises Q photovoltaic leakage current monitoring sensing units;
executing real-time equipment leakage current monitoring of the first photovoltaic grid-connected system based on the photovoltaic leakage current monitoring system to obtain a Q-group real-time leakage current signal set;
acquiring a Q-group real-time sensing environment signal set of the photovoltaic leakage current monitoring system, and performing signal compensation on the Q-group real-time leakage current signal set based on the Q-group real-time sensing environment signal set to acquire a Q-group equipment leakage current signal set;
Constructing a leakage current traceability analysis model based on the Q distributed photovoltaic devices, wherein the leakage current traceability analysis model comprises Q leakage current traceability analysis units;
performing traceability analysis on the leakage current signal set of the Q-group equipment based on the leakage current traceability analysis model to obtain a leakage current traceability analysis result;
and inputting the leakage current tracing analysis result into a pre-constructed leakage current operation and maintenance map to obtain a leakage current operation and maintenance scheme, and controlling the leakage current of the first photovoltaic grid-connected system according to the leakage current operation and maintenance scheme.
2. The method of claim 1, wherein the arranging of the leakage current monitoring sensor is performed based on the first photovoltaic grid-connected system, and the building of the photovoltaic leakage current monitoring system comprises:
obtaining Q pieces of equipment basic information of the Q pieces of distributed photovoltaic equipment;
performing leakage current monitoring sensitivity analysis based on the Q distributed photovoltaic devices to obtain Q leakage current monitoring sensitivities;
based on the Q pieces of equipment basic information and the Q pieces of leakage current monitoring sensitivity, obtaining Q pieces of equipment leakage current monitoring layout decisions according to a leakage current monitoring layout database;
and executing the layout of the leakage current monitoring sensor on the first photovoltaic grid-connected system based on the Q equipment leakage current monitoring layout decisions to generate the photovoltaic leakage current monitoring system.
3. The method of claim 2, wherein performing a leakage current monitoring sensitivity analysis based on the Q distributed photovoltaic devices to obtain Q leakage current monitoring sensitivities comprises:
collecting Q leakage current monitoring records of the Q distributed photovoltaic devices based on a preset historical time zone;
based on the Q leakage current monitoring records, calibrating leakage current abnormal triggering frequencies of the Q distributed photovoltaic devices respectively to obtain Q device leakage current abnormal triggering frequencies;
and traversing the leakage current abnormal triggering frequencies of the Q devices to calculate the duty ratio of the leakage current abnormal triggering frequencies, and generating the Q leakage current monitoring sensitivities.
4. The method of claim 1, wherein signal compensating the Q-group real-time leakage current signal set based on the Q-group real-time sensing environment signal set to obtain a Q-group device leakage current signal set comprises:
traversing the Q groups of real-time sensing environment signal sets to obtain a first group of real-time sensing environment signal sets;
performing environment abnormality influence degree identification of the leakage current monitoring sensor based on the first real-time sensing environment signal set to obtain a first sensing environment abnormality influence degree;
Obtaining a preset sensing environment abnormality influence degree;
judging whether the first sensing environment abnormality influence degree meets the preset sensing environment abnormality influence degree or not;
when the first sensing environment abnormality influence degree meets the preset sensing environment abnormality influence degree, a leakage current signal compensation instruction is obtained;
and extracting a first group of real-time leakage current signal sets corresponding to the first group of real-time sensing environment signal sets according to the Q group of real-time leakage current signal sets based on the leakage current signal compensation instruction, and performing signal compensation on the first group of real-time leakage current signal sets based on the abnormal influence degree of the first sensing environment.
5. The method of claim 1, wherein performing a trace-source analysis on the set of Q-group device leakage current signals based on the leakage current trace-source analysis model to obtain a leakage current trace-source analysis result comprises:
traversing the Q groups of equipment leakage current signal sets to obtain a first group of equipment leakage current signal sets;
performing abnormal comparison on the first equipment leakage current signal set based on normal equipment leakage current constraint to obtain a first equipment leakage current abnormal comparison result;
when the abnormal comparison result of the leakage current of the first equipment is that the leakage current of the first equipment does not pass, collecting a real-time photovoltaic equipment data set corresponding to the leakage current signal set of the first group of equipment;
And inputting the first group of equipment leakage current signal sets and the real-time photovoltaic equipment data sets into leakage current traceability analysis units corresponding to the leakage current traceability analysis model to obtain a first leakage current traceability analysis result, and adding the first leakage current traceability analysis result to the leakage current traceability analysis result.
6. The method of claim 1, wherein constructing a leakage current traceability analysis model based on the Q distributed photovoltaic devices comprises:
based on a BP neural network, obtaining a basic network architecture of the leakage current traceability analysis model;
based on big data, collecting Q equipment leakage current traceability analysis record libraries of the Q distributed photovoltaic equipment;
respectively performing supervised training on the Q leakage current traceability analysis record libraries of the equipment to obtain Q leakage current traceability analysis units meeting preset output accuracy;
the Q leakage current traceability analysis units are used as parallel leakage current traceability analysis network layers;
and embedding the parallel leakage current traceability analysis network layer into an implicit layer of the basic network architecture to generate the leakage current traceability analysis model.
7. The method of claim 1, wherein the method comprises:
Based on the Q distributed photovoltaic devices, collecting leakage current traceability analysis results of a plurality of sample devices and leakage current operation and maintenance schemes of the plurality of sample devices respectively;
performing mapping relation analysis based on the leakage current traceability analysis results of the plurality of sample devices and the leakage current operation and maintenance schemes of the plurality of sample devices to obtain a sample mapping relation;
setting the Q distributed photovoltaic devices as Q leakage current operation and maintenance main bodies;
setting a sample equipment leakage current traceability analysis result as an equipment leakage current control index characteristic, and setting a sample equipment leakage current operation and maintenance scheme as an equipment leakage current control response characteristic;
obtaining a plurality of equipment leakage current control index characteristic parameters and a plurality of equipment leakage current control response characteristic parameters according to the leakage current tracing analysis results of the plurality of sample equipment and the leakage current operation and maintenance schemes of the plurality of sample equipment;
based on a knowledge graph, constructing the leakage current operation and maintenance graph according to the Q leakage current operation and maintenance main bodies, the sample mapping relation, the equipment leakage current control index characteristic, the equipment leakage current control response characteristic, the equipment leakage current control index characteristic parameters and the equipment leakage current control response characteristic parameters.
8. A distributed photovoltaic device leakage current monitoring and control system, the system comprising:
the system comprises a first photovoltaic grid-connected system acquisition module, a second photovoltaic grid-connected system acquisition module and a third photovoltaic grid-connected system acquisition module, wherein the first photovoltaic grid-connected system acquisition module is used for acquiring a first photovoltaic grid-connected system, the first photovoltaic grid-connected system comprises Q distributed photovoltaic devices, and Q is a positive integer greater than 1;
the photovoltaic leakage current monitoring system building module is used for building a photovoltaic leakage current monitoring system based on the arrangement of the leakage current monitoring sensors of the first photovoltaic grid-connected system, wherein the photovoltaic leakage current monitoring system comprises Q photovoltaic leakage current monitoring sensing units;
the real-time leakage current signal set acquisition module is used for performing real-time equipment leakage current monitoring of the first photovoltaic grid-connected system based on the photovoltaic leakage current monitoring system to obtain Q groups of real-time leakage current signal sets;
the device leakage current signal set obtaining module is used for obtaining Q groups of real-time sensing environment signal sets of the photovoltaic leakage current monitoring system, and carrying out signal compensation on the Q groups of real-time leakage current signal sets based on the Q groups of real-time sensing environment signal sets to obtain Q groups of device leakage current signal sets;
The leakage current traceability analysis model construction module is used for constructing a leakage current traceability analysis model based on the Q distributed photovoltaic devices, wherein the leakage current traceability analysis model comprises Q leakage current traceability analysis units;
the leakage current tracing analysis result acquisition module is used for carrying out tracing analysis on the leakage current signal set of the Q group of equipment based on the leakage current tracing analysis model to obtain a leakage current tracing analysis result;
the leakage current control module is used for inputting the leakage current tracing analysis result into a pre-constructed leakage current operation and maintenance map to obtain a leakage current operation and maintenance scheme, and performing leakage current control of the first photovoltaic grid-connected system according to the leakage current operation and maintenance scheme.
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