CN115085369A - Intelligent photovoltaic data acquisition system of photovoltaic inverter - Google Patents
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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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- 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
- H02J13/00006—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 characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00028—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 characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment involving the use of Internet protocols
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Abstract
The invention provides an intelligent photovoltaic data acquisition system of a photovoltaic inverter, and relates to the technical field of photovoltaic. The system comprises: the device comprises an inverter parameter acquisition module, a sensitivity analysis module, an actual measurement scheme determination module, a data analysis model establishment module, a data acquisition unit and a data processing module. The system carries out sensitivity analysis on the parameter to be identified through a sensitivity analysis module, and provides an actual measurement scheme aiming at the photovoltaic inverter through an actual measurement scheme determination module. And establishing a data analysis model by using the measured data through a data analysis model establishing module. Therefore, the photovoltaic data are effectively identified through the data analysis model and processed according to the identification result, so that the processed photovoltaic data are more in line with the operation data of practical engineering, the processed photovoltaic data are more accurate, the inaccuracy or the overlarge error of the collected photovoltaic data are avoided, and the fault shutdown of the photovoltaic inverter can be effectively avoided from the data acquisition angle.
Description
Technical Field
The invention relates to the technical field of photovoltaics, in particular to an intelligent photovoltaic data acquisition system of a photovoltaic inverter.
Background
With the development of the photovoltaic industry, photovoltaic inverters are also widely applied to power grid systems. Photovoltaic inverters (PV inverters or solar inverters) can convert variable dc voltage generated by Photovoltaic (PV) solar panels into mains frequency Alternating Current (AC) and can be fed back to commercial power transmission systems or used for off-grid power grids.
The operation data of the photovoltaic inverter can be collected through the data collector, the data of a plurality of inverters can be collected to a certain extent by the existing intelligent photovoltaic data collector, but the collected photovoltaic data cannot be identified, or the simulation data is utilized to identify. Although the simulation data can be used for identifying the photovoltaic data, the simulation data cannot be applied to parameter identification of actual engineering.
In fact, in the transmission process of the photovoltaic data, due to the fact that access configuration is complex, a network transmission mode is single, the probability of data packet loss is high, and the transmission accuracy cannot be guaranteed, the collected photovoltaic data has error. If the photovoltaic data cannot be effectively identified, the acquired photovoltaic data is inaccurate, or deviation of certain parameters of the photovoltaic inverter is large, and the photovoltaic inverter may be halted due to faults.
Disclosure of Invention
The invention aims to provide an intelligent photovoltaic data acquisition system of a photovoltaic inverter, which is used for solving the problems that in the prior art, in the actual engineering, the photovoltaic data cannot be effectively identified, so that the acquired photovoltaic data is inaccurate, or the deviation of certain parameters of the photovoltaic inverter is large.
The embodiment of the invention is realized by the following steps:
in a first aspect, an embodiment of the present application provides an intelligent photovoltaic data acquisition system for a photovoltaic inverter, which includes:
the inverter parameter acquisition module is used for acquiring a parameter to be identified of any photovoltaic inverter within a target range;
the sensitivity analysis module is used for carrying out sensitivity analysis on the parameter to be identified according to the preset observed quantity to obtain a sensitivity analysis result of the photovoltaic inverter;
the actual measurement scheme determining module is used for determining a corresponding actual measurement scheme according to the sensitivity analysis result;
the data analysis model establishing module is used for acquiring multiple groups of measured data of the photovoltaic inverter according to the measured scheme and establishing a data analysis model matched with the photovoltaic inverter through the multiple groups of measured data;
the data acquisition unit is connected with the corresponding photovoltaic inverter protocol and used for acquiring photovoltaic data of the corresponding photovoltaic inverter;
and the data processing module is used for inputting the photovoltaic data into the corresponding data analysis model, identifying the photovoltaic data to obtain an identification result, and processing the photovoltaic data according to the identification result.
In some embodiments of the invention, the data analysis model building module includes:
the preliminary identification unit is used for carrying out preliminary identification on all the measured data to obtain a parameter identification preliminary result;
an optimal parameter extraction unit, configured to extract an optimal parameter from the plurality of sets of parameter identification preliminary results based on the parameter identification preliminary results;
the comparison unit is used for inputting the optimal parameters into the data analysis model to obtain an output result, and comparing the output result with any actually measured data to obtain a difference value;
and the model correction unit is used for correcting and adjusting the data analysis model according to the difference.
In some embodiments of the present invention, the above-mentioned intelligent photovoltaic data acquisition system for a photovoltaic inverter further includes:
the communication protocol acquisition module is used for acquiring a communication protocol between the data acquisition unit and the corresponding photovoltaic inverter;
and the photovoltaic data receiving module is used for receiving and storing the photovoltaic data acquired by the data acquisition unit according to a communication protocol.
In some embodiments of the present invention, the intelligent photovoltaic data acquisition system of the photovoltaic inverter further includes a cloud platform, the cloud platform is in wireless communication connection with the data acquisition device, and the cloud platform is configured to receive and store the photovoltaic data acquired by the data acquisition device.
In some embodiments of the invention, the inverter parameter obtaining module includes:
the photovoltaic inverter distribution system comprises a distribution position information acquisition unit, a distribution position information acquisition unit and a distribution control unit, wherein the distribution position information acquisition unit is used for acquiring distribution position information of a photovoltaic inverter in a target range;
the ID number determining unit is used for determining the ID number of each photovoltaic inverter according to the layout position information;
and the parameter to be identified obtaining unit is used for determining the parameter to be identified of the photovoltaic inverter according to the ID number of any photovoltaic inverter.
In some embodiments of the present invention, the above-mentioned intelligent photovoltaic data acquisition system for a photovoltaic inverter further includes:
and the data collector configuration module is used for configuring a data collector for each photovoltaic inverter and binding the ID number of each photovoltaic inverter with the corresponding data collector.
In some embodiments of the present invention, the data processing module includes:
the identification result judging unit is used for judging whether the value of the photovoltaic data is greater than a preset standard or not according to the identification result;
the data discarding unit is used for discarding the photovoltaic data if the numerical value of the photovoltaic data is greater than a preset standard;
and the data retention unit is used for retaining the photovoltaic data if the numerical value of the photovoltaic data is not greater than the preset standard.
In some embodiments of the present invention, the above-mentioned intelligent photovoltaic data acquisition system for a photovoltaic inverter further includes:
and the data set generating module is used for generating a data set by using all the reserved photovoltaic data according to a preset template.
In a second aspect, an embodiment of the present application provides an electronic device, which includes a memory for storing one or more programs; a processor. The one or more programs, when executed by the processor, implement the system of any of the first aspects as described above.
In a third aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the system according to any one of the above first aspects.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
the invention provides an intelligent photovoltaic data acquisition system of a photovoltaic inverter, which comprises: and the inverter parameter acquisition module is used for acquiring the parameter to be identified of any photovoltaic inverter within the target range. And the sensitivity analysis module is used for carrying out sensitivity analysis on the parameter to be identified according to the preset observed quantity to obtain a sensitivity analysis result of the photovoltaic inverter. And the actual measurement scheme determining module is used for determining the corresponding actual measurement scheme according to the sensitivity analysis result. After the sensitivity analysis module carries out sensitivity analysis on the parameter to be identified, the actual measurement scheme for the photovoltaic inverter is provided through the actual measurement scheme determining module. Therefore, a corresponding actual measurement scheme is designed for each photovoltaic inverter in the target range, so that the actual measurement scheme and the photovoltaic inverters are adapted one by one. And the data analysis model establishing module is used for acquiring multiple groups of measured data of the photovoltaic inverter according to the measured scheme and establishing a data analysis model matched with the photovoltaic inverter through the multiple groups of measured data. Therefore, multiple groups of measured data are obtained for the photovoltaic inverter based on the measured scheme. Compared with simulation data, the measured data is more in line with actual engineering. The measured data are used as training samples to be trained to obtain a data analysis model, the training samples are guaranteed to be consistent with actual operation data of the photovoltaic inverter as much as possible, the measured data are used for establishing the data analysis model, the purpose of accurate modeling can be achieved, and therefore the photovoltaic data can be analyzed more accurately by using the data analysis model in the following process. And the data acquisition unit is in protocol connection with the corresponding photovoltaic inverter and is used for acquiring photovoltaic data of the corresponding photovoltaic inverter. And the data processing module is used for inputting the photovoltaic data into the corresponding data analysis model, identifying the photovoltaic data to obtain an identification result, and processing the photovoltaic data according to the identification result. Therefore, the photovoltaic data are effectively identified through the data analysis model, the photovoltaic data are processed according to the identification result, the processed photovoltaic data can better accord with the operation data of practical engineering, the processed photovoltaic data are more accurate, the condition that the acquired photovoltaic data are inaccurate or have overlarge error is avoided, the unreasonable photovoltaic data are processed from the data acquisition angle, and the fault shutdown of the photovoltaic inverter can be effectively avoided.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a block diagram of an intelligent photovoltaic data acquisition system of a photovoltaic inverter according to an embodiment of the present invention;
fig. 2 is a block diagram of a data analysis model building module according to an embodiment of the present invention;
fig. 3 is a block diagram of another intelligent photovoltaic data acquisition system for a photovoltaic inverter according to an embodiment of the present invention;
fig. 4 is a block diagram of an inverter parameter obtaining module according to an embodiment of the present invention;
fig. 5 is a schematic structural block diagram of an electronic device according to an embodiment of the present invention.
Icon: 110-inverter parameter acquisition module; 111-a layout position information acquisition unit; 112-ID number determination unit; 113-a parameter obtaining unit to be identified; 120-sensitivity analysis module; 130-actual measurement scheme determination module; 140-a data analysis model building module; 141-a preliminary identification unit; 142-an optimal parameter extraction unit; 143-a comparison unit; 144-a model modification unit; 150-a data collector; 160-a data processing module; 170-communication protocol acquisition module; 180-a photovoltaic data receiving module; 101-a memory; 102-a processor; 103-communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. 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.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not construed as indicating or implying relative importance.
It should be noted that, in this document, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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, the presence of an element identified by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In the description of the present application, it should be noted that if the terms "upper", "lower", "inner", "outer", etc. are used to indicate an orientation or positional relationship based on that shown in the drawings or that the application product is usually placed in use, the description is merely for convenience and simplicity, and it is not intended to indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and therefore should not be construed as limiting the present application.
In the description of the present application, it should also be noted that, unless explicitly stated or limited otherwise, the terms "disposed" and "connected" should be interpreted broadly, e.g., as being fixed or detachable or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the individual features of the embodiments can be combined with one another without conflict.
Examples
Referring to fig. 1, fig. 1 is a block diagram illustrating an intelligent photovoltaic data acquisition system of a photovoltaic inverter according to an embodiment of the present invention. The embodiment of the application provides a photovoltaic inverter's intelligent photovoltaic data acquisition system, it includes:
an inverter parameter obtaining module 110, configured to obtain a parameter to be identified of any one of the photovoltaic inverters within a target range;
in the implementation process, a user defines the target range according to the actual situation so as to acquire the intelligent photovoltaic data of the photovoltaic inverter within the target range. Specifically, according to a target range selected by a user, parameters to be identified of each photovoltaic inverter in the target range are obtained.
For example, the parameter to be identified may be an active current recovery slope or a reactive current support coefficient of the photovoltaic inverter. The active current recovery slope of the photovoltaic inverter determines the speed of active power recovery after the fault is cleared. The reactive current support factor of the photovoltaic inverter determines how much reactive power the inverter generates during a fault.
It should be noted that the parameter to be identified is the active current recovery slope or the reactive current support coefficient of the photovoltaic inverter, which is only used as various options in the embodiment of the present invention, and the parameter to be identified is not limited to the options.
The sensitivity analysis module 120 is configured to perform sensitivity analysis on the parameter to be identified according to a preset observed quantity to obtain a sensitivity analysis result of the photovoltaic inverter;
illustratively, active power and reactive power of the photovoltaic inverter are selected as preset observed quantities, the degree of association of the preset observed quantities to the parameter to be identified is analyzed, and then sensitivity analysis is carried out according to the parameter to be identified.
An actual measurement scheme determining module 130, configured to determine a corresponding actual measurement scheme according to the sensitivity analysis result;
specifically, after the sensitivity analysis module 120 performs sensitivity analysis on the parameter to be identified, the actual measurement scheme determination module 130 proposes an actual measurement scheme for the photovoltaic inverter. Therefore, a corresponding actual measurement scheme is designed for each photovoltaic inverter in the target range, so that the actual measurement scheme and the photovoltaic inverters are adapted one by one.
The data analysis model establishing module 140 is configured to obtain multiple sets of measured data of the photovoltaic inverter according to the measured scheme, and establish a data analysis model matched with the photovoltaic inverter through the multiple sets of measured data;
specifically, aiming at the photovoltaic inverter, multiple groups of measured data are obtained based on the measured scheme. Compared with simulation data, the measured data is more in line with actual engineering. The measured data is used as a training sample to be trained to obtain a data analysis model, the training sample is ensured to be consistent with the actual operation data of the photovoltaic inverter as much as possible, the measured data is used for establishing the data analysis model, the purpose of accurate modeling can be achieved, and the photovoltaic data can be analyzed more accurately by using the data analysis model subsequently.
The data acquisition unit 150 is in protocol connection with the corresponding photovoltaic inverter and is used for acquiring photovoltaic data of the corresponding photovoltaic inverter;
specifically, the data collectors 150 are matched with the photovoltaic inverters one by one, and any one of the data collectors 150 can only collect photovoltaic data corresponding to the photovoltaic inverter. Therefore, data confusion caused by collection of photovoltaic data of a plurality of photovoltaic inverters is avoided.
For example, the photovoltaic data of the photovoltaic inverter may include operation data such as the number of inverters, current, voltage, temperature, power generation amount, and the like of the photovoltaic inverter, and equipment information such as the equipment model, the equipment parameter, the equipment location, the equipment investment time, and the like of the photovoltaic inverter.
And the data processing module 160 is configured to input the photovoltaic data into the corresponding data analysis model, identify the photovoltaic data to obtain an identification result, and process the photovoltaic data according to the identification result.
Specifically, the photovoltaic data are effectively identified through the data analysis model and processed according to the identification result, so that the processed photovoltaic data can better accord with the operation data of actual engineering, the processed photovoltaic data are more accurate, the collected photovoltaic data are prevented from being inaccurate or too large in error, unreasonable photovoltaic data are processed from the data collection angle, and the fault shutdown of the photovoltaic inverter can be effectively avoided.
Referring to fig. 2, fig. 2 is a block diagram illustrating a data analysis model building module 140 according to an embodiment of the present invention. In some embodiments of this embodiment, the data analysis model building module 140 includes:
a preliminary identification unit 141, configured to perform preliminary identification on all measured data to obtain a preliminary parameter identification result;
an optimal parameter extracting unit 142, configured to extract an optimal parameter from the sets of preliminary parameter identification results based on the preliminary parameter identification results;
the comparing unit 143 is configured to input the optimal parameter into the data analysis model to obtain an output result, and compare the output result with any actually measured data to obtain a difference value;
and the model modifying unit 144 is configured to modify and adjust the data analysis model according to the difference.
Specifically, the unit 141 is preliminarily identified for all the measured data, and compared with the identification for a single measured data, the randomness of the running environment can be better adapted to the identification for a plurality of measured data. Therefore, the optimal parameter is extracted from the group of parameter identification preliminary results through the optimal parameter extraction unit 142, the extracted optimal parameter can be more reliable, and the data analysis model is corrected by using the difference value between the optimal parameter and any measured data, so that accurate modeling can be further realized.
Referring to fig. 3, fig. 3 is a block diagram illustrating a structure of another intelligent photovoltaic data acquisition system for a photovoltaic inverter according to an embodiment of the present invention. In some embodiments of this embodiment, the above-mentioned intelligent photovoltaic data acquisition system for a photovoltaic inverter further includes:
a communication protocol acquisition module 170, configured to acquire a communication protocol between the data acquisition device 150 and a corresponding photovoltaic inverter;
for example, the communication protocol between the data collector 150 and the corresponding photovoltaic inverter includes serial port communication such as RS485, RS232, and RS 422.
And the photovoltaic data receiving module 180 is configured to receive and store the photovoltaic data acquired by the data acquirer 150 according to a communication protocol.
In particular, a communication protocol refers to rules and conventions that must be followed by two entities to complete a communication or service. In consideration of different data formats of different communication protocols, the photovoltaic data are received and stored according to the communication protocols, and therefore the loss of the photovoltaic data is further avoided.
In some embodiments of this embodiment, the intelligent photovoltaic data acquisition system of the photovoltaic inverter further includes a cloud platform, the cloud platform is in wireless communication connection with the data acquisition unit 150, and the cloud platform is configured to receive and store the photovoltaic data acquired by the data acquisition unit 150.
Referring to fig. 4, fig. 4 is a block diagram illustrating a structure of an inverter parameter obtaining module 110 according to an embodiment of the present invention. In some embodiments of the present embodiment, the inverter parameter obtaining module 110 includes:
a layout position information obtaining unit 111, configured to obtain layout position information of the photovoltaic inverter within a target range;
an ID number determination unit 112 configured to determine an ID number of each photovoltaic inverter according to the layout position information;
and a parameter to be identified obtaining unit 113, configured to determine a parameter to be identified of any one of the photovoltaic inverters according to the ID number of the photovoltaic inverter.
When the photovoltaic inverter is set, a user uploads and stores the set layout position information of the photovoltaic inverter and the ID number of the photovoltaic inverter. Specifically, according to a target range selected by a user, the layout position information and the ID numbers of all the photovoltaic inverters in the target range are acquired, and because the ID numbers are unique, the corresponding photovoltaic inverters and the parameters to be identified thereof can be determined according to the ID numbers.
In some embodiments of this embodiment, the above-mentioned intelligent photovoltaic data acquisition system for a photovoltaic inverter further includes:
and a data collector 150 configuration module, configured to configure the data collector 150 for each photovoltaic inverter, and bind the ID number of each photovoltaic inverter with the corresponding data collector 150. Therefore, the purpose of configuring the data collector 150 for any photovoltaic inverter is achieved, and the photovoltaic inverter and the data collector 150 are ensured to be in one-to-one correspondence.
In some embodiments of this embodiment, the data processing module 160 includes:
the identification result judging unit is used for judging whether the value of the photovoltaic data is greater than a preset standard or not according to the identification result;
the data discarding unit is used for discarding the photovoltaic data if the numerical value of the photovoltaic data is greater than a preset standard;
and the data retention unit is used for retaining the photovoltaic data if the numerical value of the photovoltaic data is not greater than the preset standard.
Specifically, the photovoltaic data are processed according to the identification result, the photovoltaic data with the numerical value larger than the preset standard are abandoned, and the photovoltaic data with the numerical value not larger than the preset standard are reserved, so that the reserved photovoltaic data are more accurate, and the inaccuracy or overlarge error of the collected photovoltaic data is avoided.
In some embodiments of this embodiment, the above-mentioned intelligent photovoltaic data acquisition system for a photovoltaic inverter further includes:
and the data set generating module is used for generating a data set by using all the reserved photovoltaic data according to a preset template.
Specifically, the reserved photovoltaic data can be displayed to the user more intuitively according to the result set obtained by typesetting the reserved photovoltaic data according to the preset template, so that the user can conveniently inquire the photovoltaic data.
Referring to fig. 5, fig. 5 is a schematic structural block diagram of an electronic device according to an embodiment of the present disclosure. The electronic device comprises a memory 101, a processor 102 and a communication interface 103, wherein the memory 101, the processor 102 and the communication interface 103 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be configured to store software programs and modules, such as program instructions/modules corresponding to an intelligent photovoltaic data acquisition system of a photovoltaic inverter provided in an embodiment of the present application, and the processor 102 executes the software programs and modules stored in the memory 101, so as to execute various functional applications and data processing. The communication interface 103 may be used for communicating signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like.
The processor 102 may be an integrated circuit chip having signal processing capabilities. The Processor 102 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.
It will be appreciated that the configuration shown in fig. 5 is merely illustrative and that the electronic device may include more or fewer components than shown in fig. 5 or have a different configuration than shown in fig. 5. The components shown in fig. 5 may be implemented in hardware, software, or a combination thereof.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
To sum up, the intelligent photovoltaic data acquisition system of photovoltaic inverter that this application embodiment provided, it includes: the inverter parameter obtaining module 110 is configured to obtain a parameter to be identified of any one of the photovoltaic inverters within a target range. And the sensitivity analysis module 120 is configured to perform sensitivity analysis on the parameter to be identified according to the preset observed quantity, so as to obtain a sensitivity analysis result of the photovoltaic inverter. And an actual measurement scheme determining module 130, configured to determine a corresponding actual measurement scheme according to the sensitivity analysis result. Therefore, after the sensitivity analysis module 120 performs sensitivity analysis on the parameter to be identified, the actual measurement scheme for the photovoltaic inverter is proposed by the actual measurement scheme determining module 130. Therefore, a corresponding actual measurement scheme is designed for each photovoltaic inverter in the target range, so that the actual measurement scheme and the photovoltaic inverters are adapted one by one. And the data analysis model establishing module 140 is configured to obtain multiple sets of measured data of the photovoltaic inverter according to the measured scheme, and establish a data analysis model matched with the photovoltaic inverter through the multiple sets of measured data. Therefore, multiple groups of measured data are obtained for the photovoltaic inverter based on the measured scheme. Compared with simulation data, the measured data is more in line with actual engineering. The measured data is used as a training sample to be trained to obtain a data analysis model, the training sample is ensured to be consistent with the actual operation data of the photovoltaic inverter as much as possible, the measured data is used for establishing the data analysis model, the purpose of accurate modeling can be achieved, and the photovoltaic data can be analyzed more accurately by using the data analysis model subsequently. And the data collector 150 is connected with the corresponding photovoltaic inverter protocol and is used for collecting photovoltaic data of the corresponding photovoltaic inverter. And the data processing module 160 is configured to input the photovoltaic data into the corresponding data analysis model, identify the photovoltaic data to obtain an identification result, and process the photovoltaic data according to the identification result. Therefore, the photovoltaic data are effectively identified through the data analysis model, the photovoltaic data are processed according to the identification result, the processed photovoltaic data can better accord with the operation data of practical engineering, the processed photovoltaic data are more accurate, the condition that the acquired photovoltaic data are inaccurate or have overlarge error is avoided, the unreasonable photovoltaic data are processed from the data acquisition angle, and the fault shutdown of the photovoltaic inverter can be effectively avoided.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. An intelligent photovoltaic data acquisition system of a photovoltaic inverter, comprising:
the inverter parameter acquisition module is used for acquiring a parameter to be identified of any photovoltaic inverter within a target range;
the sensitivity analysis module is used for carrying out sensitivity analysis on the parameter to be identified according to a preset observed quantity to obtain a sensitivity analysis result of the photovoltaic inverter;
the actual measurement scheme determining module is used for determining a corresponding actual measurement scheme according to the sensitivity analysis result;
the data analysis model establishing module is used for acquiring multiple groups of measured data of the photovoltaic inverter according to the measured scheme and establishing a data analysis model matched with the photovoltaic inverter through the multiple groups of measured data;
the data acquisition unit is in protocol connection with the corresponding photovoltaic inverter and is used for acquiring photovoltaic data of the corresponding photovoltaic inverter;
and the data processing module is used for inputting the photovoltaic data into a corresponding data analysis model, identifying the photovoltaic data to obtain an identification result, and processing the photovoltaic data according to the identification result.
2. The intelligent photovoltaic data collection system for photovoltaic inverters according to claim 1, wherein the data analysis model building module comprises:
the preliminary identification unit is used for carrying out preliminary identification on all the measured data to obtain a parameter identification preliminary result;
an optimal parameter extraction unit, configured to extract an optimal parameter from the plurality of sets of parameter identification preliminary results based on the parameter identification preliminary results;
the comparison unit is used for inputting the optimal parameters into the data analysis model to obtain an output result, and comparing the output result with any actually measured data to obtain a difference value;
and the model correction unit is used for correcting and adjusting the data analysis model according to the difference.
3. The intelligent photovoltaic data acquisition system for photovoltaic inverters according to claim 1, further comprising:
the communication protocol acquisition module is used for acquiring a communication protocol between the data acquisition unit and the corresponding photovoltaic inverter;
and the photovoltaic data receiving module is used for receiving and storing the photovoltaic data acquired by the data acquisition unit according to the communication protocol.
4. The intelligent photovoltaic data acquisition system of a photovoltaic inverter according to claim 3, further comprising a cloud platform, wherein the cloud platform is in wireless communication connection with the data acquisition unit, and the cloud platform is configured to receive and store the photovoltaic data acquired by the data acquisition unit.
5. The intelligent photovoltaic data acquisition system of a photovoltaic inverter of claim 1, wherein the inverter parameter acquisition module comprises:
the photovoltaic inverter layout control device comprises a layout position information acquisition unit, a layout position information acquisition unit and a layout position information acquisition unit, wherein the layout position information acquisition unit is used for acquiring the layout position information of the photovoltaic inverter within a target range;
the ID number determining unit is used for determining the ID number of each photovoltaic inverter according to the layout position information;
and the parameter to be identified obtaining unit is used for determining the parameter to be identified of the photovoltaic inverter according to the ID number of any photovoltaic inverter.
6. The intelligent photovoltaic data acquisition system for photovoltaic inverters according to claim 5, further comprising:
and the data collector configuration module is used for configuring a data collector for each photovoltaic inverter and binding the ID number of each photovoltaic inverter with the corresponding data collector.
7. The intelligent photovoltaic data acquisition system of a photovoltaic inverter of claim 1, wherein the data processing module comprises:
the identification result judging unit is used for judging whether the value of the photovoltaic data is greater than a preset standard or not according to the identification result;
the data discarding unit is used for discarding the photovoltaic data if the numerical value of the photovoltaic data is greater than a preset standard;
and the data retention unit is used for retaining the photovoltaic data if the numerical value of the photovoltaic data is not greater than the preset standard.
8. The intelligent photovoltaic data acquisition system for photovoltaic inverters according to claim 7, further comprising:
and the data set generating module is used for generating a data set by using all the reserved photovoltaic data according to a preset template.
9. An electronic device, comprising:
a memory for storing one or more programs;
a processor;
the one or more programs, when executed by the processor, implement the system of any of claims 1-8.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, implements a system according to any one of claims 1-8.
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