CN109450376A - Photovoltaic generating system state on_line monitoring and fault location system and method - Google Patents
Photovoltaic generating system state on_line monitoring and fault location system and method Download PDFInfo
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Classifications
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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
- H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
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- H02J13/0013—
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
Abstract
The invention discloses a kind of photovoltaic generating system state on_line monitoring and fault location system and methods, are related to photovoltaic generating system monitoring device technical field.The present invention is integrated with the LoRa module that low-power consumption freely wirelessly communicates over long distances, and fieldbus module, the communications such as Ethernet or GPRS or 3G or 4G module realize the access and diversiform data acquisition, convergence, processing and analysis of polymorphic type monitoring device；LoRa module, fieldbus and sensor are directly accessed to the connection type combined as with local supervising and measuring equipment and instrument, the self-adapted protocol for realizing the communications such as LoRa and fieldbus, LoRa and Industrial Ethernet, LoRa and GPRS or 3G or 4G, Industrial Ethernet and fieldbus is converted, and the data collection type and application range of photovoltaic generating system on-line monitoring are extended；The invention also achieves the deteriorations of the status assessment of photovoltaic generating system, photovoltaic module and inverter and initial failure to identify and position, and can send warning information in time.
Description
Technical field
The present invention relates to photovoltaic generating system monitoring device technical fields, and in particular to a kind of real time on-line monitoring photovoltaic hair
Electric system state and photovoltaic generating system state on_line monitoring and fault location system and the side that failure prediction and positioning can be carried out
Method.
Background technique
With the continuous development of photovoltaic power generation technology, the structure deployment of photovoltaic generating system is more and more, photovoltaic system
The deterioration condition of operating status, power quality and equipment more and more attention has been paid to.
Photovoltaic module is exposed under sunlight, often there is the region blocked by sundries such as mud, birds droppings or leaves in component, or
The defective region of person's photovoltaic panel itself, such as crackle, bubble, delamination, dirty, internal Joint failure.These areas of photovoltaic module
Domain can be taken as energy caused by the other regions of load consumption；The part that photovoltaic module is blocked can consume whole normal photovoltaic group
Portion of energy caused by part or all energy reduce output power；Lead to hot-spot when serious, generates hot spot effect.
Hot spot may cause the damage of entire photovoltaic module, and one piece of hot spot for accounting for about 1/60 area of battery will affect monolith photovoltaic battery plate 1/3
Generated energy, while the service life for also resulting in photovoltaic module at least reduces 10%.Under serious conditions, it will permanent damage
Solar cell module even burns component, causes irreparable damage.
Photovoltaic module requires quality guarantee 20-25, but many photovoltaic modulies are damaged in 6-8, such as find not in time
And replacement, it will affect the generating efficiency of entire photovoltaic system.
It is seldom gone or not readily accessible area since photovoltaic panel light is typically deployed at the maintenance personals such as farmland, desert or roof
Domain.Photovoltaic generating system monitoring point is more, and photovoltaic module, header box and distributed group string inverter are mounted on roof and open country mostly
Outer equal personnel are not easy to reach, and are also not easy the occasion being routed, it is therefore desirable to power using using battery, low power dissipation design, communication away from
From remote wireless monitoring device.The mode of detection hot spot generallys use two methods at present.A kind of method is using thermal imaging side
Formula judged by manual inspection or unmanned plane periodic detection according to heat generating spot, this mode can only periodic detection, be difficult
Accomplish real-time online；In addition, this mode judgment bias is big, many situations cannot be detected.Another method is using monitoring
Device on-line checking.The parameters such as voltage, electric current and temperature being detected, but existing on-Line Monitor Device has a single function, communication cost is high,
It is difficult to adapt to the feature of photovoltaic system installation environment and occasion complexity.
At present in terms of photovoltaic system state on_line monitoring device, need to adapt to unattended, low-power consumption is free at a distance
The demand of communication, acquisition device adapt to the multi-functional mould of the demands such as acquisition, transmission, data processing, status assessment and fault pre-alarming
Block assembly.
Summary of the invention
The purpose of the present invention is to provide one kind, and online real-time unattended surveillance can be carried out to photovoltaic generating system, and
The photovoltaic generating system state of the multiple functions such as integrated data acquisition, transmission, analysis, status assessment and fault pre-alarming positioning is online
Monitoring and fault location system and method, to solve technical problem present in above-mentioned background technique.
To achieve the goals above, this invention takes following technical solutions:
On the one hand, a kind of photovoltaic generating system state on_line monitoring and fault location system provided by the invention, including it is existing
Field device data acquisition device, data convergence processing device and network end data server；
The field equipment data acquisition device, the state parameter of the field device for acquiring photovoltaic generating system；
The data convergence processing device, including central processing unit, memory module, bottom communication module and upper layer communication
Module；
The central processing unit carries out at data convergence for receiving the state parameter, and to the state parameter
Reason obtains fault location result；
The memory module is converged for storing the received state parameter of the central processing unit and the data
Poly- processing result；
The bottom communication module includes LoRa communication unit and field bus communication unit；The LoRa communication unit,
For completing the data radio communication between the data convergence processing device and the field equipment data acquisition device；It is described existing
Field bus communication unit, for completing the data between the data convergence processing device and the field equipment data acquisition device
Wire communication；
The upper layer communication module includes ethernet communication unit and GPRS/3G/4G communication unit, is used for the center
The received state parameter of processing unit is sent to data server.
Further, the field equipment data acquisition device includes wireless monitoring device, wired monitoring device and scene
Instrument；The state parameter is sent to the data convergence processing by LoRa communication unit and filled by the wireless monitoring device
It sets, wired monitoring device and the field instrument pass through fieldbus unit and the state parameter are sent to the number
According to convergence processing device.
Further, the central processing unit, be also used to complete LoRa communication unit and ethernet communication unit and
LoRa communication protocol-TCP/IP communication protocol conversion, LoRa communication unit and fieldbus between GPRS/3G/4G communication unit
LoRa communication protocol-fieldbus communication protocol conversion and ethernet communication unit and GPRS/3G/4G between communication unit is logical
Believe that TCP/IP communication agreement-fieldbus communication protocol between unit and field bus communication unit is converted.
Further, the LoRa communications protocol link layer frame structure includes lead code, physical header, physical header verification, MAC
Head, MAC data domain and verification domain；The link-layer frame structure of the fieldbus communication protocol includes frame starting, control domain, data
Domain, verification domain and frame end；The frame structure of the TCP/IP communication agreement include lead code, destination address, raw address, type,
Sub- message, verification domain.
Further, the LoRa communication protocol-TCP/IP communication protocol conversion includes: to read LoRa communication protocol first
In data field, then carry out framing according to ICP/IP protocol frame, if sending data to data server, source in frame
Location is identity or the address of central processing unit, and destination address is data server address；If being received from data server,
Destination address is the address of central processing unit, and source address is the address of data server；
The LoRa communication protocol-fieldbus communication protocol conversion includes: to obtain LoRa communication protocol and scene respectively
Then the data information and data address or identity information of the frame structure of bus communication protocol carry out identity marks to data, such as
Fruit conversion, then carry out framing according to the requirement of target protocol frame, at this point, the corresponding MAC header of LoRa frame, physical header, and scene
The corresponding control domain of bus is address or the identity information of central processing unit itself；
The TCP/IP communication agreement-fieldbus communication protocol conversion includes: to read field data bus communication first
Then data field in agreement carries out framing according to ICP/IP protocol frame, if sending data to data server, in frame
Source address is identity or the address of central processing unit, and destination address is data server address；If being connect from data server
It receives, then destination address is the address of central processing unit, and source address is the address of data server.
Further, the state parameter includes: the irradiance data of photovoltaic module, DC voltage, the direct current of header box
Electric current and energy data, alternating voltage, alternating current and the electricity data of inverter, and it is received by signal conditioning circuit
Monitoring signals.
On the other hand, the present invention provides a kind of fixed using above-mentioned photovoltaic generating system state on_line monitoring and fault pre-alarming
The method that position system carries out fault pre-alarming positioning, including following process step:
Determine the header box data obtained and the corresponding weather pattern of inverter data and period；
The header box DC parameter data under identical weather pattern and period are analyzed, the incipient failure of header box is obtained
Positioning；
The inverter ac electrical parameter data under identical weather pattern and period is analyzed, the incipient failure of inverter is obtained
Positioning.
Further, the determining header box data obtained and the corresponding weather pattern of inverter data and period tool
Body includes:
According to the irradiation level parameter of photovoltaic module, the weather pattern in conjunction with corresponding to historical data, to the header box of acquisition
DC parameter data and the alternating current parameter data of inverter carry out abnormal judgement and update different remittances if data are normal
Flow the threshold operator under the correspondence weather pattern of case and inverter.
Further, the incipient failure positioning for obtaining header box specifically includes:
By the data of the voltage and current of each header box synchronization respectively with the voltage and current number of other header boxs
According to ratio is made, the corresponding one group of voltage ratio of each header box and electric current ratio are obtained, voltage ratio and electricity are determined according to environmental monitoring data
Flow the weather pattern of ratio, then by under same weather pattern and synchronization voltage ratio and electric current ratio average, and by voltage
Than average value and electric current than average value as the weather pattern and when the voltage reference value and current reference value of header box inscribed；
If there is new data arrive, then a reference value is updated, determines that header box threshold operator is the value for subtracting error rate；
If current time header box monitoring data are normal, central processing unit collected header box data will be made in real time
Than compared with a reference value, if it is judged that ratio and a reference value have deviation and be more than preset error threshold, then ratio institute is right
There are faulty components in a string of the photovoltaic modulies answered；Finally by each photovoltaic module temperature data in failure photovoltaic group string into
The highest photovoltaic module of temperature is simultaneously set as possible faulty components by row analysis, sends early warning instruction.
Further, the incipient failure positioning for obtaining inverter specifically includes:
It, should if the difference of inverter input terminal instantaneous power and the instantaneous power of inverter output end is greater than error threshold
There may be failures for the corresponding inverter of instantaneous power, send early warning instruction；The wherein instantaneous voltage of header box output end and wink
When electric current can be used as the instantaneous voltage and transient current of inverter input terminal, for calculating the instantaneous function of inverter input terminal
Rate, inverter threshold operator are the values for subtracting header box and inverter cable and inverter power loss rate itself.
The invention has the advantages that: the LoRa communication modes for introducing long range low-power consumption to connect live wireless monitoring device,
Solve that communication cost existing in the prior art is high, can not adapt to multiple node deployments, polymorphic type photovoltaic generating system to light
Lie prostrate the problem of adaptability of monitoring etc..Convergence analysis is carried out to the data that on-line monitoring obtains, obtains the operation shape of photovoltaic module
State, and early warning is carried out to possible failure；Photovoltaic system performance evaluation and evaluation can not be provided by solving existing monitoring device, with
And the early warning problem of early stage photovoltaic system deterioration.
It is specific:
(1) can carry out polymorphic type monitoring input convergence analysis: multifunction module device converged photovoltaic module, header box and
The status data of inverter.According to the temperature of the status monitoring of photovoltaic module and illumination to data carry out natural conditions classification and
The classification of period.Diversiform data processing is carried out according to identical natural conditions and period, obtains historical data, threshold value and knowledge
Deng.
(2) can deterioration to photovoltaic module and initial failure carry out Primary Location: the direct current monitored according to header box
The comparison of pressure and DC current and historical data, can tentatively judge the deterioration or initial failure of photovoltaic module, and can position
To a group string.
(3) state of photovoltaic DC-to-AC converter can be analyzed and evaluated: according to the alternating voltage of inverter state monitoring, is handed over
The comparison of galvanic electricity stream, AC energy and historical data can tentatively judge the working condition of photovoltaic DC-to-AC converter, to its possible event
Barrier issues warning information.
The additional aspect of the present invention and advantage will be set forth in part in the description, these will become from the following description
Obviously, or practice through the invention is recognized.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, required use in being described below to embodiment
Attached drawing be briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for this
For the those of ordinary skill of field, without creative efforts, it can also be obtained according to these attached drawings others
Attached drawing.
Fig. 1 is the data remittance of photovoltaic generating system state on_line monitoring described in the embodiment of the present invention and fault location system
Poly- processing device structure diagram.
Fig. 2 is photovoltaic generating system state on_line monitoring and fault location system and photovoltaic described in the embodiment of the present invention two
The field device connection status diagram of electricity generation system.
Fig. 3 is photovoltaic generating system state on_line monitoring described in the embodiment of the present invention two and fault location system and scene
The wireless monitor module of equipment uses LoRa attachment structure schematic diagram.
Fig. 4 is photovoltaic generating system state on_line monitoring described in the embodiment of the present invention two and fault location system and scene
Wired monitoring modular of equipment uses bus interface attachment structure schematic diagram.
Fig. 5 is photovoltaic generating system state on_line monitoring described in the embodiment of the present invention two and fault location system and scene
Monitor the attachment structure schematic diagram of sensor.
Fig. 6 is the agreement of photovoltaic generating system state on_line monitoring described in the embodiment of the present invention two and fault location system
Flow path switch schematic diagram.
Fig. 7 be described in the embodiment of the present invention three using photovoltaic generating system state on_line monitoring and fault location system into
The method flow schematic diagram of the analysis of row data and fault location.
Fig. 8 is the data of photovoltaic generating system state on_line monitoring described in the embodiment of the present invention four and fault location system
Convergence processing apparatus structure schematic diagram.
Fig. 9 is photovoltaic generating system state on_line monitoring and fault location system and photovoltaic described in the embodiment of the present invention four
The field device connection status diagram of electricity generation system.
Specific embodiment
Embodiments of the present invention are described in detail below, and the example of the embodiment is shown in the accompanying drawings, wherein from beginning
Same or similar element or element with the same or similar functions are indicated to same or similar label eventually.Below by attached
The embodiment of figure description is exemplary, and for explaining only the invention, and is not construed as limiting the claims.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, all terms used herein (including technology art
Language and scientific term) there is meaning identical with the general understanding of those of ordinary skill in fields of the present invention.Should also
Understand, those terms such as defined in the general dictionary, which should be understood that, to be had and the meaning in the context of the prior art
The consistent meaning of justice, and unless defined as here, it will not be explained in an idealized or overly formal meaning.
It is of the invention for ease of understanding, explanation is further explained to the present invention with specific embodiment with reference to the accompanying drawing, and
Specific embodiment does not constitute the restriction to the embodiment of the present invention.
It should be appreciated by those skilled in the art that attached drawing is the schematic diagram of embodiment, the component in attached drawing is not necessarily
Implement necessary to the present invention.
Embodiment one
As shown in Figure 1, the embodiment of the present invention one provides a kind of photovoltaic generating system state on_line monitoring and fault location system
The data convergence processing device of system, for realizing the state data acquisition of photovoltaic module and field device in photo-voltaic power generation station system
And photovoltaic module performance evaluation and fault pre-alarming position.
LoRa (long range) is low-power consumption wide area network LPWAN (Low power wide-area network) communication
One of technology is that a kind of realization based on spread spectrum that Semtech company, the U.S. uses and promotes is remote, low function
Consumption, the wireless transmission scheme of multinode networking are very suitable to the occasion of photovoltaic panel state acquisition without operating cost.
In the embodiment of the present invention one, LoRa technology is introduced to the condition monitoring system of photo-voltaic power generation station, it is existing to constitute fusion
The communications such as field bus, Industrial Ethernet, LoRa, GPRS, 4G are integrated, while using multi-signal conditioning circuit structure
At sensor can be accessed, the multi-functional collecting transmitter of a variety of transmission modes is used according to field demand.The dress
It sets and can be used as independent connection sensor, as sensor access node；It can be used as LoRa and Industrial Ethernet, fieldbus
With the transfer gateway of Industrial Ethernet；It can be used as the access node and gateway of angle of solar battery system, grid-connected photovoltaic system monitoring
Node etc..The reality that present apparatus adaptation photovoltaic system is unattended, is not easy to reach is to low-power consumption battery powered and long range
It freely transmits, the demand of multi-functional collecting transmitter.
Above-mentioned photo-voltaic power generation station status monitoring and fault pre-alarming positioning system, including field equipment data acquisition device, number
According to convergence processing device and network end data server；
The field equipment data acquisition device, the state parameter of the field device for acquiring photovoltaic generating system；
The data convergence processing device, including central processing unit, memory module, bottom communication module and upper layer communication
Module；
The central processing unit carries out at data convergence for receiving the state parameter, and to the state parameter
Reason obtains fault location result；
The memory module is converged for storing the received state parameter of the central processing unit and the data
Poly- processing result；
The bottom communication module includes LoRa communication unit and field bus communication unit；The LoRa communication unit,
For completing the data radio communication between the data convergence processing device and the field equipment data acquisition device；It is described existing
Field bus communication unit, for completing the data between the data convergence processing device and the field equipment data acquisition device
Wire communication；
The upper layer communication module includes ethernet communication unit and GPRS/3G/4G communication unit, is used for the center
The received state parameter of processing unit is sent to data server.
The field equipment data acquisition device includes wireless monitoring device, wired monitoring device and field instrument；It is described
The state parameter is sent to the data convergence processing device by LoRa communication unit by wireless monitoring device, described wired
Monitoring device and the field instrument pass through fieldbus unit and the state parameter are sent to the data convergence processing
Device.
The central processing unit, is also used to complete LoRa communication unit and ethernet communication unit and GPRS/3G/4G is logical
Between LoRa communication protocol-TCP/IP communication protocol conversion, LoRa communication unit between letter unit and field bus communication unit
LoRa communication protocol-fieldbus communication protocol conversion and ethernet communication unit and GPRS/3G/4G communication unit and scene
TCP/IP communication agreement-fieldbus communication protocol conversion between bus communication unit.
The LoRa communications protocol link layer frame structure includes lead code, physical header, physical header verification, MAC header, MAC number
According to domain and verification domain；The link-layer frame structure of the fieldbus communication protocol includes frame starting, control domain, data field, verification
Domain and frame end；The frame structure of the TCP/IP communication agreement include lead code, destination address, raw address, type, sub- message,
Verify domain.
LoRa communication protocol-TCP/IP communication the protocol conversion includes: the data read in LoRa communication protocol first
Then domain carries out framing according to ICP/IP protocol frame, if sending data to data server, the source address in frame is center
The identity of processing unit or address, destination address are data server address；If being received from data server, destination address
For the address of central processing unit, source address is the address of data server；
The LoRa communication protocol-fieldbus communication protocol conversion includes: to obtain LoRa communication protocol and scene respectively
Then the data information and data address or identity information of the frame structure of bus communication protocol carry out identity marks to data, such as
Fruit conversion, then carry out framing according to the requirement of target protocol frame, at this point, the corresponding MAC header of LoRa frame, physical header, and scene
The corresponding control domain of bus is address or the identity information of central processing unit itself；
The TCP/IP communication agreement-fieldbus communication protocol conversion includes: to read field data bus communication first
Then data field in agreement carries out framing according to ICP/IP protocol frame, if sending data to data server, in frame
Source address is identity or the address of central processing unit, and destination address is data server address；If being connect from data server
It receives, then destination address is the address of central processing unit, and source address is the address of data server.
The state parameter includes: the irradiance data of photovoltaic module, DC voltage, DC current and the electric energy of header box
Data, alternating voltage, alternating current and the electricity data of inverter, and pass through the received monitoring signals of signal conditioning circuit.
In a specific embodiment one of the invention, the LoRa communication unit includes that LoRa chip and LoRa antenna connect
Mouthful, be divided into two parts: LoRa management passage and LoRa communication channel, the LoRa management passage are responsible for LoRa node application and are entered
Net, the address of node LoRa newly accessed distribution；The LoRa communication channel is to pass through the LoRa node for obtaining address distribution
The communication channel sends and receives data.
In the embodiment of the present invention one, LoRa communication channel can be specifically arranged in those skilled in the art as the case may be
Number, each channel can transmit data using different frequencies as the case may be.LoRa is usually applied to photovoltaic module, confluence
The monitoring of the states such as row pattern state.
Embodiment two
Since the data type that photovoltaic generating system state on_line monitoring needs to acquire is more, range is wide.The embodiment of the present invention
Two provide a kind of photo-voltaic power generation station status monitoring and fault pre-alarming positioning system is integrally divided into double-layer structure.
First layer is field equipment state data collection layer.By wireless monitoring device, wired monitoring device, field instrument etc.
Composition.This layer is mainly used for acquiring the phases such as the photovoltaic module state, header box state, outdoor weather conditions of photovoltaic generating system
Close data information；The photovoltaic module and header box of photovoltaic generating system are typically mounted on the occasions such as roof, desert, fish pond, farmland,
The status monitoring of photovoltaic module need to acquire the temperature of photovoltaic module, the voltage and current of header box, inverter output end electricity
Pressure, electric current, instantaneous power and power factor.The first layer field equipment state data collection layer namely field equipment data
Acquisition device.
Wireless monitoring device be generally arranged at manually be not easy reach and can not deployment signal transmission line occasion, such as roof light
Lie prostrate the acquisition of the temperature of component, the voltage and current of header box.Wireless acquisition node uses LoRa communication mode to aggregation node
(multifunction module device) transmission acquisition data.
Wired monitoring device is transmitted by fieldbus, such as RS485, CAN to aggregation node (multifunction module device)
Data.Field instrument is also a seed type of wired acquisition node.
The second layer is data convergence and analysis layer.This layer technological means that integrated, function merges using module, fills at one
In setting, disparate modules are integrated, the effective integration of multiple functions is realized under the same central processing unit controls, constitute more than one function
It can modular device.This layer of structure includes GPRS or 3G or 4G module, ethernet module, fieldbus module and LoRa module, can
To realize the setting of these modules according to setting, and relevant wireless acquisition node is configured by the setting of LoRa module and converges it
The data that acquire；Relevant wired acquisition node is configured by fieldbus module and the data for converging their acquisitions are more simultaneously
Functional module device can also access different types of sensor.At second layer data convergence and analysis layer namely data convergence
Manage device.
Multifunction module device is in the second layer, mainly converges the data of first layer acquisition device.Pass through LoRa mode
The data for converging wireless acquisition node, the data of wired acquisition node and field instrument are converged by fieldbus mode.Simultaneously
Aggregation node can be directly connected to some state of sensor detection field device.
Multifunction module device can be used as Multifunctional gateway, realize the conversion of different agreement, the parsing of frame and recombination.It is more
Functional module device realizes the wireless networking of remote, low-power consumption, low cost and multinode using LoRa function；Using GPRS or
3G or 4G is transmitted to server for data are converged in the occasion that can not dispose cable；(work is used in the occasion that can dispose cable
Industry) Ethernet is to data server Transmission Convergence data；It is realized and the metering ammeter of photovoltaic system and other using fieldbus
Pertinent instruments are attached.
Multifunction module device carries out correlation according between photovoltaic devices running state data each in same class monitoring point
Analysis, find out the threshold range of photovoltaic module under normal circumstances and as knowledge store in a device.Photovoltaic module if there is
Deterioration or initial failure, the voltage and current value of header box can change.By being carried out pair with storage threshold value in a device
Than it can be found that and positioning deterioration or the initial failure region of photovoltaic module.And deterioration information is transmitted to data server, and
Warning information is issued, realizes the deterioration of photovoltaic system photovoltaic module and the discovery of initial failure and processing problem.
Multifunction module device realizes that acquisition, data processing, agreement turn by the control of software and scheduling of resource and distribution
It changes, the functions such as assay and early warning combine together.
As shown in Figure 1, being above-mentioned a kind of multifunction module device composition schematic diagram provided by Embodiment 2 of the present invention.More function
Energy modular device is made of controller module, functional module and power module.
Controller module includes central processing unit, memory module, USB module etc..Central processing unit is entire more function
The controller of energy gateway, completes the work of control modules, completes the protocol conversion work of data.Storage section mainly includes
Memory and storage control, can not be timely in the result or caching of data and data processing that central processing unit will acquire
The data of processing are temporarily stored in memory；The deposit and removing of storage control control memory data.USB module includes USB
Chip and interface are debugged for gateway.
Functional module includes conditioning circuit, bottom communication module, upper layer communication module etc..
Conditioning circuit is for being directly accessed sensor, the conditioning circuit including three types, respectively correspond three kinds it is general
The output signal of sensor.Voltage-type conditioning circuit is to be input to centre after the output voltage of sensor is carried out voltage-frequency conversion
Manage the counter of unit；The output electric current of sensor is first converted to voltage signal by current mode conditioning circuit, is then pressed again
Frequency is input to central processing unit after converting；During impulse type conditioning circuit after the pulse model integer of sensor, will be first input to
The I/O port of Central Processing Unit.
Bottom communication module includes LoRa module and fieldbus module.LoRa module application is in long range low-power consumption occasion
Acquisition data communication, LoRa module includes LoRa chip and antennal interface, and LoRa module is divided into two parts, and a part is LoRa
Management passage is responsible for the address of node the LoRa distribution that the application of LoRa node networks, newly accesses；Another part is that LoRa communication is logical
Road, the LoRa node for obtaining address distribution send and receive data by communication channel.LoRa communication channel can have multiple, adopt
Data are transmitted with different frequencies.LoRa is usually applied to the monitoring of the states such as photovoltaic module, busbar connector state.Fieldbus mould
Block includes bus control unit, bus driver and interface；Wired monitoring device or field instrument with scene is using identical total
Line type obtains the data of wired monitoring device or field instrument by fieldbus module.Both bottom communication modules can
It is one such or two kinds to be arranged according to field demand.
Upper layer communication module includes ethernet module, GPRS or 3G or 4G module.Ethernet segment includes Ethernet control
Device, isolation and Industrial Ethernet interface, the data that central processing unit to be sent are issued from Industrial Ethernet interface.GPRS
Or 3G or 4G module includes communication chip and communication antenna.The data for the wireless monitoring device that multifunction module device obtains have
The data of line monitoring device, direct-connected sensing data pass through upper layer communication module after carrying out fusion treatment according to monitoring task
Send data to data server.Ethernet module, GPRS or 3G or 4G module can be configured and make according to field condition
With.GPRS or 3G or 4G module can acquire the difference of data volume according to photovoltaic generating system and select different radio communication molds
Block.
Power supply needed for power module provides work for gateway.Power module include two class interfaces: battery interface with exchange
Electrical interface is respectively applied to the occasion using battery and alternating current.
As shown in Fig. 2, being the application state schematic diagram of multifunction module device described above.Multifunction module device is
The core of photovoltaic generating system on-line monitoring.Multifunction module device can pass through LoRa interface, field-bus interface and conditioning
Circuit connect and communicates with photovoltaic generating system local supervising and measuring equipment, obtains the status data of field device；It can be according to scene
Monitoring data are transmitted to data server by condition selection ethernet module, GPRS or 3G or 4G module.
According to the field condition of photovoltaic generating system, the state acquisition of field device is by wired monitoring device, wirelessly
One of monitoring device, field instrument or sensor are a variety of.
Wired monitoring device includes sensor and conditioning circuit, controller and field-bus interface, completes field device shape
Data are uploaded to multifunction module device by fieldbus by state acquisition, processing and transmission.
Wireless monitoring device includes sensor and conditioning circuit, controller and LoRa interface, completes field equipment state and adopts
Data are uploaded to multifunction module device by LoRa by collection, processing and transmission.
Field instrument has field-bus interface, can transmit data by the interface and multifunction module device.
The sensor of status monitoring needs to be installed on field device under the conditions of some, these sensors pass through multi-functional
The different type conditioning circuit of modular device transmits a signal to its processing of center.
Multifunction module device can receive the data of fieldbus and LoRa interface simultaneously, can also individually receive LoRa
Or the data of fieldbus.After multifunction module device receives data, after treatment, pass through Ethernet interface or GPRS or 3G
Or 4G module is uploaded to data server.
Show as shown in figure 3, being connect with on-site wireless monitoring device using LoRa for multifunction module device described above
It is intended to.Battery power supply is generallyd use using the wireless monitoring device that LoRa is communicated, using low energy consumption operation mode.Multifunction module
Device can connect several hundred a on-site wireless monitoring devices, be provided with LoRa management passage and LoRa communication channel.Pass through management
Channel, multifunction module device can LoRa module to the wireless monitoring device of access be configured, including setting node
Location, communication channel, operating mode etc..Monitoring data are uploaded to multi-functional mould in predetermined channel by wireless monitoring device after setting
Block assembly.After multifunction module device receives, data processing is carried out.Then it carries out uploading frame together with other monitoring data again
Assembling.
As shown in figure 4, being connect with live cable monitoring device using fieldbus for multifunction module device described above
Mouth connection schematic diagram.Using field-bus interface, multifunction module device can be mutual with wired monitoring device and field instrument
Transmit data and network consisting.
Wired monitoring device includes sensor and conditioning circuit, controller and field-bus interface, completes field device shape
Data are uploaded to multifunction module device by fieldbus by state acquisition, processing and transmission.
Field instrument usually has field-bus interface, can transmit data by the interface and multifunction module device.
Multifunction module device passes through field-bus interface first and configures wired monitoring device and field instrument, it is arranged and patrols
Collect address, transmission rate.Then the data of wired monitoring device and field instrument are obtained one by one using polling mode.
As shown in figure 5, being the sensor connection schematic diagram of above-mentioned multifunction module device and field monitoring.
In some occasions, field device needs to increase deployment sensor, and multifunction module device can directly pass through conditioning
Circuit connection sensor.Conditioning circuit includes the conditioning circuit of three types, respectively corresponds the output of three kinds of general sensors
Signal.
Voltage-type conditioning circuit will be input to the meter of central processing unit after the output voltage progress voltage-frequency conversion of sensor
Number device；Mainly it is made of voltage conversion circuit, voltage-frequency conversion circuit；Voltage conversion circuit is the voltage signal for exporting sensor
It zooms in or out to the voltage range of suitable rear class input requirements, voltage-frequency conversion circuit is converted to voltage signal is in therewith
The frequency signal of linear relationship, frequency signal is input in the counter of central processing unit, and central processing unit is according to fixed
When the time count number calculate frequency values, be then converted into voltage value.
The output electric current of sensor is first converted to voltage signal by current mode conditioning circuit, after then carrying out voltage-frequency conversion again
It is input to central processing unit；Mainly it is made of Current Voltage conversion, voltage-frequency conversion circuit and impulse type conditioning circuit.Electric current electricity
Pressure conversion is that the current signal of sensor output is converted to voltage signal, and conversion while amplifies or contracts to voltage signal
The small voltage range to be suitble to rear class input requirements；Voltage-frequency circuit and following stage input are identical as voltage-type conditioning circuit.
Impulse type conditioning circuit first by after the pulse model integer of sensor, is input to the I/O port of central processing unit, in
Central Processing Unit is according to the numerical value of related protocol pickup.
As shown in fig. 6, being the protocol conversion schematic diagram of multifunction module device described above.Multifunction module device packet
Include three kinds of LoRa communication, field bus communication and TCP/IP communication agreements.It includes that LoRa and TCP/IP, scene are total that it, which fills and changes type,
Mutual conversion between line and TCP/IP and fieldbus and LoRa.
LoRa link-layer frame structure includes lead code, physical header, physical header verification, MAC header, MAC data domain and verification domain；
The structure of fieldbus link layer frame includes frame starting, control domain, data field, verification domain and frame end；The frame structure of Ethernet
Including lead code, destination address, raw address, type, sub- message (several), verification domain.
Multifunction module device carries out channel distribution and ID address to the LoRa of wireless monitoring device by management passage
Distribution, corresponding in the frame structure is physical header and MAC header.Its data is received by communication channel or is sent to it inquiry letter
Breath.After multifunction module device receives the data of wireless monitoring device LoRa transmission, the data of its data field are taken out, according to physics
Head and MAC header are stand-by after data are marked.
Multifunction module device is connect by fieldbus with wired monitoring device, and the process of fieldbus is parsed are as follows: when
It receives fieldbus frame to read out data field after verification passes through, the identity or address information provided according to control domain is to data
It is marked, then for use.
Multifunction module device is connect by Ethernet, GPRS or 3G or 4G with data server, data frame TCP/
The format of IP agreement frame.
The LoRa module of multifunction module device and the conversion of field bus protocol are to read the data of these two types of frames respectively
Then information and data address or identity information carry out identity marks to data.If dress changes, according still further to wanting for target protocol frame
Carry out framing is sought, the corresponding MAC header of LoRa frame, physical header and the corresponding control domain of fieldbus are all multi-functional moulds at this time
The address of block assembly itself or identity information.
The dress of multifunction module device ICP/IP protocol and field bus protocol changes and ICP/IP protocol and LoRa agreement
Dress change that method is similar, first read the data field in fieldbus or LoRa agreement, then carry out group according to ICP/IP protocol frame
Frame.If sending data to data server, the source address in frame is identity or the address of multifunction module device；Destination
Location is data server address.If receiving from data server, wherein destination address is the address of multifunction module device, source
Address is the address of data server.
Embodiment three
As shown in fig. 7, the embodiment of the present invention three provides and a kind of system described in above-described embodiment is utilized to carry out data point
The method for analysing early warning positioning.
It is not easy since photovoltaic module, header box and distributed group string inverter are mounted on the personnel such as roof and field mostly
It reaches, is also not easy the occasion being routed, using wireless monitoring device, utilize LoRa module transfer data to multifunction module device.It converges
Stream case be it is in parallel again after the series connection of multiple photovoltaic modulies after access point；Photovoltaic module is usually that several series connection are one group, several groups of light
Component is lied prostrate in header box parallel connection, the output of several groups of header boxs is connected to inverter.Photovoltaic DC-to-AC converter be divided into centralized inverter and
String type inverter respectively corresponds the grid-connected photovoltaic generating system with distribution string type low-pressure grid-connection of centralized high pressure.
The status monitoring of photovoltaic module mainly includes temperature and illumination；Header box status monitoring mainly include DC voltage,
DC current, electric energy and environment temperature；Inverter state monitoring mainly includes alternating voltage, alternating current, AC energy and ring
Border temperature.
Multifunction module device is when analyzing photovoltaic module, header box and inverter state, first by weather, illumination and temperature
The natural conditions such as degree are divided into several classes (sleet, the cloudy day, the nether world is cloudy, cloudy turn to fine, fine)；Research and application data be same class from
Under the conditions of so.Secondly, the time to generate electricity by photovoltaic generating system under different type natural conditions is divided into different periods (root
According to situation can determine 15 minutes or 30 minutes for a period), the data of identical period are analyzed and are judged.
The central processing unit of multifunction module device converges wireless monitoring device, wired monitoring device and field instrument
Data carry out fusion treatment and analysis.
The central processing unit of multifunction module device is as follows to the treatment process of the monitoring data of acquisition:
1) type judgement is carried out to weather according to environmental monitoring data at that time, and the period locating for the acquisition moment is carried out
Judgement.Identical natural weather type and identical period data are calculated.
2) according to identical weather pattern and identical day part, maximum value, the minimum of respective monitoring device related data are calculated
Value, average value, variance and standard deviation；These values are for judging whether subsequent monitoring data are abnormal.Obtained data are header box
DC voltage and DC current maximin, average value, variance and standard deviation；The maximum value of inverter output electric energy,
Minimum value, average value, variance and standard deviation.
3) data obtained for header box calculate the phase of each group voltage according to identical weather pattern and identical day part
Mutual ratio, obtained ratio are averaged, as benchmark ratio；The benchmark ratio of electric current is obtained according to same way.It is converged
Flow the benchmark ratio of case voltage, the benchmark ratio of electric current.
4) data obtained for inverter input and defeated according to identical weather pattern and identical day part according to inversion
The voltage and current of outlet calculates the instantaneous power of inverter input and output side.
To all kinds of values obtained under normal circumstances above as knowledge store in memory.
On the basis of above, fusion treatment, analysis and evaluation are carried out to sensor data, it can be determined that photovoltaic group
The deterioration and incipient failure of part and inverter, and position possible failure.
The central processing unit of multi-function device is to the analysis of photovoltaic generating system online monitoring data, evaluation and early warning
Workflow includes:
1) temperature and photometric data for obtaining photovoltaic module, obtain weather pattern and the period at that time.
DC voltage, DC current and the energy data for obtaining the header box of photovoltaic module, obtain the alternating current of inverter
Pressure, alternating current and electricity data.To every item data of acquisition, according to the processing result of historical data, according to statistical law into
The abnormal judgement of row.If data are normal, it is added in threshold value and the renewal of knowledge, and update the threshold value of different header boxs and inverter
Operator α n (n=1,2,3,4,5；N respectively represent sleet, the cloudy day, the nether world is cloudy, cloudy turn to fine, five kinds of weather patterns such as fine) and
β。
2) header box data are analyzed, deterioration condition and the incipient failure positioning of photovoltaic module are obtained.
Under normal circumstances by photovoltaic module, the DC voltage of header box and the data of DC current are obtained.By normal condition
Under the voltage of each header box synchronization or the data of electric current make ratio with the voltage and current data of other header boxs respectively, this
The each header box of sample will have one group of voltage and current ratio, which kind of nature belonged to according to the judgement of environmental monitoring data same day weather
DirectCurrent Voltage Ratio and the DC current ratio of condition, then by the voltage ratio and electric current ratio under same class natural conditions and synchronization
It is averaging, and as the benchmark ratio of header box voltage and current under such natural conditions and synchronization.If there is new
Data arrive, update benchmark ratio, determine header box threshold operator an, wherein anFor the value for subtracting error rate.
Below by taking the electric current of header box as an example: assuming that header box there are four photovoltaic systems, its threshold value in the case where fine day
Operator is a1, measure the electric current of m days synchronizations, the benchmark ratio of electric current are as follows:
Wherein InmWhat is represented is the current value of n-th of header box, the m days synchronizations.Header box voltage reference ratio and meter
It is identical to calculate current reference ratio principle.
If current time header box monitoring data are normal, multi-functional acquisition device arithmetic element will real-time collected remittance
It flows case data and makees ratio compared with benchmark ratio, if it is judged that ratio and benchmark ratio have deviation and is more than preset error threshold
Value, this illustrates that there are faulty components in that a string of photovoltaic modulies corresponding to ratio error data.Finally by failure photovoltaic
Each photovoltaic module temperature data analyze and the highest photovoltaic module of temperature is set as possible faulty components in group string,
Send early warning instruction.
By taking above example as an example, concrete analysis process is as follows:
Current ratio:
Corresponding benchmark ratioCompare, if there isIt sets up, wherein a=2,3,4.
There are faulty components in photovoltaic group string corresponding to this first header box of explanation.Then this is determined by analysis temperature data
Failure photovoltaic module present in photovoltaic group string.
The comparison of judgement and voltage ratio that remaining confluence tank current compares is similarly.
3) inverter data are analyzed, deterioration condition and the incipient failure positioning of inverter are obtained.
Since group string inverter number is few many relative to photovoltaic module quantity in photovoltaic generating system, inversion can be passed through
The operating condition of device input terminal and the variance analysis inverter of output end instantaneous power.If inverter input terminal instantaneous power with
The difference of the instantaneous power of inverter output end is greater than error threshold, this illustrate inverter there may be failure, send early warning and refer to
Show.Wherein the voltage and current of header box output end can be used as the voltage and current of inverter input terminal, and threshold operator β is to subtract
Go the value of header box and inverter cable and inverter power loss rate itself.
For example, the voltage of inverter input terminal, electric current is respectively U1And I1, the voltage and current of output end is U2And I2。
Input terminal instantaneous power: P1=U1×I1, output end instantaneous power:If there is P2
<β×P1, this illustrates inverter, and there are failures.
The above calculation method eliminates the adverse effect because of illumination variation factor to photovoltaic module and fault of converter early warning.
Example IV
As shown in figure 8, a kind of photovoltaic generating system state on_line monitoring and fault location that the embodiment of the present invention four provides
The data convergence processing device of system.
Central processing unit has ARM STM32F4 composition, and memory is made of W25Q128, and LoRa uses SX1278, scene
Bus uses RS485, and Ethernet is constituted using CS8900.
Voltage-type conditioning circuit constitutes voltage conversion circuit by amplifier, has voltage controlled oscillator to generate pulse relevant to voltage
Frequency signal is input to central processing unit.
Current mode conditioning circuit is made of current-voltage conversion circuit amplifier, then related to voltage by voltage controlled oscillator generation
Pulse duration frequency signal be input to central processing unit.
Impulse type conditioning circuit is made of optocoupler, not only realizes level translation, also achieves isolation.
As shown in figure 9, being above-mentioned photo-voltaic power generation station status monitoring and fault pre-alarming positioning system in a group string contravariant photovoltaic
The application schematic diagram of electricity generation system.Several photovoltaic module (solar panel) DC currents converge to header box, by distribution
Enter exchange cabinet after the small-sized inverter of formula.
Wireless environment monitoring device is responsible for acquiring solar panel front and back sides temperature and intensity of illumination, is mainly passed by temperature
Sensor, signal conditioning circuit, lighting detecting circuit, STM8L master control and LoRa wireless module composition.
Wireless header box monitoring device is responsible for DC parameter after detection confluence, mainly by STM32 main control unit, direct current
Pressure, direct current detection unit, environment temperature detection unit and power management module composition.
Wireless inverter monitoring device is responsible for detecting the alternating current parameter of inverter leading-out terminal, mainly by STM32 master control list
Member, alternating voltage, alternating current detection unit, AC energy detection unit, environment temperature detection unit and power management module
Composition.
Multi-function device receives wireless environment monitoring device, wireless header box monitoring device, wireless inverter by LoRa
The data of monitoring device.The data of metering ammeter are received by RS485 simultaneously.Analyzed on this basis, Condition evaluation and
Fault pre-alarming.
In conclusion photovoltaic generating system state on_line monitoring and fault location system described in the embodiment of the present invention pass through
Integrated LoRa module, fieldbus module, Ethernet and GPRS/3G/4G module and central processing unit realize polymorphic type
The access of monitoring device, the real-time online of diversiform data acquire, and realize the logical of diversiform data by central processing unit
Believe protocol conversion, and analyzed by processing to data, realize the status monitoring of photo-voltaic power generation station, and can tentatively judge and
Position the deterioration and initial failure of photovoltaic module and inverter；Ethernet and GPRS or 3G or 4G are as the transmission side with server
LoRa module, fieldbus and sensor are directly connected to combine the connection side as with local supervising and measuring equipment and instrument by formula
Formula extends the application range of photovoltaic generating system on-Line Monitor Device, can adapt to all kinds of field conditions.Especially with low
The LoRa technology and correlation module of power consumption and long-distance radio communication can adapt to photovoltaic module status monitoring and supplied using battery
Electricity meets the needs of low cost operation.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
In the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of by anyone skilled in the art,
It should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with scope of protection of the claims
Subject to.
Claims (10)
1. a kind of photovoltaic generating system state on_line monitoring and fault location system, it is characterised in that: including field equipment data
Acquisition device, data convergence processing device and network end data server；
The field equipment data acquisition device, the state parameter of the field device for acquiring photovoltaic generating system；
The data convergence processing device, including central processing unit, memory module, bottom communication module and upper layer communication mould
Block；
The central processing unit carries out data convergence processing for receiving the state parameter, and to the state parameter, obtains
Take fault location result；
The memory module, for storing at the received state parameter of the central processing unit and the data convergence
Manage result；
The bottom communication module includes LoRa communication unit and field bus communication unit；The LoRa communication unit, is used for
Complete the data radio communication between the data convergence processing device and the field equipment data acquisition device；The scene is total
Line communication unit, for completing the Data Over Cable between the data convergence processing device and the field equipment data acquisition device
Communication；
The upper layer communication module includes ethernet communication unit and GPRS/3G/4G communication unit, is used for the central processing
The received state parameter of unit is sent to the network end data server.
2. photovoltaic generating system state on_line monitoring according to claim 1 and fault location system, it is characterised in that: institute
Stating field equipment data acquisition device includes wireless monitoring device, wired monitoring device and field instrument；The wireless monitor is set
It is standby that the state parameter is sent to by the data convergence processing device by LoRa communication unit, wired monitoring device with
The field instrument passes through fieldbus unit and the state parameter is sent to the data convergence processing device.
3. photovoltaic generating system state on_line monitoring according to claim 2 and fault location system, it is characterised in that: institute
Central processing unit is stated, is also used to complete between LoRa communication unit and ethernet communication unit and GPRS/3G/4G communication unit
LoRa communication protocols between LoRa communication protocol-TCP/IP communication protocol conversion, LoRa communication unit and field bus communication unit
View-fieldbus communication protocol conversion and ethernet communication unit and GPRS/3G/4G communication unit and field bus communication list
TCP/IP communication agreement-fieldbus communication protocol conversion between member；The central processing unit is adaptive according to facilities
Protocol conversion type is set.
4. photovoltaic generating system state on_line monitoring according to claim 3 and fault location system, it is characterised in that:
The LoRa communications protocol link layer frame structure includes lead code, physical header, physical header verification, MAC header, MAC data domain
With verification domain；The link-layer frame structure of the fieldbus communication protocol include frame starting, control domain, data field, verification domain and
Frame end；The frame structure of the TCP/IP communication agreement includes lead code, destination address, raw address, type, sub- message, verification
Domain.
5. photovoltaic generating system state on_line monitoring according to claim 4 and fault location system, it is characterised in that:
LoRa communication protocol-TCP/IP communication the protocol conversion includes: the data field read in LoRa communication protocol first, so
Framing is carried out according to ICP/IP protocol frame afterwards, if sending data to data server, the source address in frame is central processing
The identity of unit or address, destination address are data server address；If being received from data server, during destination address is
The address of Central Processing Unit, source address are the address of data server；
The LoRa communication protocol-fieldbus communication protocol conversion includes: to obtain LoRa communication protocol and fieldbus respectively
Then the data information and data address or identity information of the frame structure of communication protocol carry out identity marks to data, if turned
It changes, then framing is carried out according to the requirement of target protocol frame, at this point, the corresponding MAC header of LoRa frame, physical header and fieldbus
Corresponding control domain is address or the identity information of central processing unit itself；
The TCP/IP communication agreement-fieldbus communication protocol conversion includes: to read field data bus communication protocol first
In data field, then carry out framing according to ICP/IP protocol frame, if sending data to data server, source in frame
Location is identity or the address of central processing unit, and destination address is data server address；If being received from data server,
Destination address is the address of central processing unit, and source address is the address of data server.
6. photovoltaic generating system state on_line monitoring according to claim 5 and fault location system, which is characterized in that
The state parameter includes: the exchange of the irradiance data of photovoltaic module, the DC parameter data, inverter of header box
Electrical parameter data, and pass through the received monitoring signals of signal conditioning circuit.
7. carrying out event using photovoltaic generating system state on_line monitoring described in any one of claims 1-6 and fault location system
Hinder the method for early warning positioning, which is characterized in that including following process step:
Determine the header box data obtained and the corresponding weather pattern of inverter data and period；
The header box DC parameter data under identical weather pattern and period are analyzed, the incipient failure for obtaining header box is fixed
Position；
The inverter ac electrical parameter data under identical weather pattern and period is analyzed, the incipient failure for obtaining inverter is fixed
Position.
8. the method according to the description of claim 7 is characterized in that the determining header box data and inverter data obtained
Corresponding weather pattern and period specifically include:
According to the irradiation level parameter of photovoltaic module, the weather pattern in conjunction with corresponding to historical data, to the straight of the header box of acquisition
The alternating current parameter data of galvanic electricity supplemental characteristic and inverter carry out abnormal judgement and update different header boxs if data are normal
With the threshold operator under the correspondence weather pattern of inverter.
9. according to the method described in claim 8, it is characterized in that, the specific packet of incipient failure positioning for obtaining header box
It includes:
The data of the voltage and current of each header box synchronization are made with the voltage and current data of other header boxs respectively
Than obtaining the corresponding one group of voltage ratio of each header box and electric current ratio, determining voltage ratio and electric current ratio according to environmental monitoring data
Weather pattern, then by under same weather pattern and synchronization voltage ratio and electric current ratio average, and by voltage than flat
Mean value and electric current than average value as the weather pattern and when the voltage reference value and current reference value of header box inscribed；If
There are new data to arrive, then updates a reference value, determine that header box threshold operator is the value for subtracting error rate；
If current time header box monitoring data are normal, central processing unit will in real time collected header box data make than with
A reference value compares, if it is judged that ratio and a reference value have deviation and be more than preset error threshold, then corresponding to the ratio
There are faulty components in a string of photovoltaic modulies；Divide finally by each photovoltaic module temperature data in failure photovoltaic group string
It analyses and the highest photovoltaic module of temperature is set as possible faulty components, send early warning instruction.
10. according to the method described in claim 9, it is characterized in that, the specific packet of incipient failure positioning for obtaining inverter
It includes:
If the difference of inverter input terminal instantaneous power and the instantaneous power of inverter output end is greater than error threshold, this is instantaneous
There may be failures for the corresponding inverter of power, send early warning instruction；The wherein instantaneous voltage of header box output end and instantaneous electricity
Stream can be used as the instantaneous voltage and transient current of inverter input terminal, inverse for calculating the instantaneous power of inverter input terminal
Becoming device threshold operator is the value for subtracting header box and inverter cable and inverter power loss rate itself.
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| CN111726081A (en) * | 2020-07-22 | 2020-09-29 | 邱鑫梅 | Solar photovoltaic panel intelligent detection processing system based on big data |
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| CN112039435A (en) * | 2020-07-29 | 2020-12-04 | 深圳供电局有限公司 | Photovoltaic power generation monitoring system |
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| CN112637347A (en) * | 2020-12-24 | 2021-04-09 | 北京源清慧虹信息科技有限公司 | General thing networking collection system |
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| WO2021183054A1 (en) * | 2020-03-13 | 2021-09-16 | Envision Digital International Pte. Ltd. | Method and apparatus for determining operating state of photovoltaic array, device and storage medium |
| CN113607213A (en) * | 2021-07-29 | 2021-11-05 | 西南交通大学 | Engineering structure monitoring device and system and engineering structure monitoring data collection method |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104601086A (en) * | 2015-01-29 | 2015-05-06 | 湖北民族学院 | PV (Photovoltaic) power generation system and fault detection method thereof |
| CN106845845A (en) * | 2017-01-23 | 2017-06-13 | 中国电力科学研究院 | A kind of photovoltaic generation multi-stage combination status assessing system and appraisal procedure |
| CN206961303U (en) * | 2017-06-13 | 2018-02-02 | 上海厚尚电力科技有限公司 | A kind of photovoltaic plant wireless remote data Transmission system |
| CN207184418U (en) * | 2017-09-20 | 2018-04-03 | 广西申能态科技发展有限公司 | A kind of photovoltaic array conflux box of LoRA spread spectrum communications |
-
2018
- 2018-11-20 CN CN201811382936.XA patent/CN109450376A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104601086A (en) * | 2015-01-29 | 2015-05-06 | 湖北民族学院 | PV (Photovoltaic) power generation system and fault detection method thereof |
| CN106845845A (en) * | 2017-01-23 | 2017-06-13 | 中国电力科学研究院 | A kind of photovoltaic generation multi-stage combination status assessing system and appraisal procedure |
| CN206961303U (en) * | 2017-06-13 | 2018-02-02 | 上海厚尚电力科技有限公司 | A kind of photovoltaic plant wireless remote data Transmission system |
| CN207184418U (en) * | 2017-09-20 | 2018-04-03 | 广西申能态科技发展有限公司 | A kind of photovoltaic array conflux box of LoRA spread spectrum communications |
Cited By (24)
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| WO2021183054A1 (en) * | 2020-03-13 | 2021-09-16 | Envision Digital International Pte. Ltd. | Method and apparatus for determining operating state of photovoltaic array, device and storage medium |
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| CN111682925B (en) * | 2020-06-05 | 2022-07-12 | 四川艾贝斯科技发展有限公司 | Data acquisition and processing method for intelligent street lamp |
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| CN112039435A (en) * | 2020-07-29 | 2020-12-04 | 深圳供电局有限公司 | Photovoltaic power generation monitoring system |
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| CN112532421A (en) * | 2020-10-27 | 2021-03-19 | 南京国电南自电网自动化有限公司 | FPGA-based channel state online sensing and multiplexing unit, device and method |
| CN112532421B (en) * | 2020-10-27 | 2023-12-22 | 南京国电南自电网自动化有限公司 | Channel state on-line sensing and multiplexing unit, device and method based on FPGA |
| CN112637347A (en) * | 2020-12-24 | 2021-04-09 | 北京源清慧虹信息科技有限公司 | General thing networking collection system |
| CN112637347B (en) * | 2020-12-24 | 2023-04-18 | 北京源清慧虹信息科技有限公司 | General thing networking collection system |
| CN112866352A (en) * | 2021-01-04 | 2021-05-28 | 李彭军 | Campus network monitored control system based on LORA technique |
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| CN113725893A (en) * | 2021-08-02 | 2021-11-30 | 华能陕西定边电力有限公司 | Wind-powered electricity generation field power quality monitoring devices with multiple wireless communication mode |
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