CN106357217A - System and method of realization of PV module fault diagnosis based on PV intelligent combiner box - Google Patents
System and method of realization of PV module fault diagnosis based on PV intelligent combiner box Download PDFInfo
- Publication number
- CN106357217A CN106357217A CN201610692520.2A CN201610692520A CN106357217A CN 106357217 A CN106357217 A CN 106357217A CN 201610692520 A CN201610692520 A CN 201610692520A CN 106357217 A CN106357217 A CN 106357217A
- Authority
- CN
- China
- Prior art keywords
- photovoltaic
- header box
- fault
- photovoltaic module
- surveillance center
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000003745 diagnosis Methods 0.000 title claims abstract description 23
- 238000001514 detection method Methods 0.000 claims abstract description 25
- 230000002159 abnormal effect Effects 0.000 claims abstract description 6
- 238000012544 monitoring process Methods 0.000 claims description 8
- 238000012545 processing Methods 0.000 claims description 8
- 238000004891 communication Methods 0.000 claims description 7
- 238000004458 analytical method Methods 0.000 claims description 4
- 230000009466 transformation Effects 0.000 claims description 4
- 238000005070 sampling Methods 0.000 claims description 3
- 230000015556 catabolic process Effects 0.000 claims 1
- 238000012423 maintenance Methods 0.000 abstract description 4
- 230000005856 abnormality Effects 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 230000036541 health Effects 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 238000005303 weighing Methods 0.000 description 2
- 230000032683 aging Effects 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
-
- 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
- H02S50/10—Testing of PV devices, e.g. of PV modules or single PV cells
-
- 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
Landscapes
- Photovoltaic Devices (AREA)
- Alarm Systems (AREA)
Abstract
The invention relates to a system and method of realization of PV module fault diagnosis based on PV intelligent combiner box, and the method comprises the following steps: (1) determining the combiner boxes with abnormalities according to the working state of each group of PV modules; (2) calculating the state parameters of PV modules and determining the state vector of the PV modules in accordance with the state parameters calculated, and (3) determining the fault type according to said PV module state vector, locating the fault location, and informing the staff to perform maintenance.Through this system and method, the monitoring center determines the abnormal combiner box according to the low frequency data of combiner boxes and sends instruction to corresponding combiner boxes to confirm and locate the faults, and the combiner boxes, upon receiving the instruction, starts the fault detection and reports the detection results to the monitoring center, greatly improving the fault detection efficiency. Intelligent fault diagnosis uses the current of the module groups and U-I curve to construct multi-parameters state space, allowing for accurate detection and location of PV module faults and has a wide range of applications.
Description
Technical field
The present invention relates to application of solar, more particularly, to photovoltaic system fault diagnosis technology field, specifically
Refer to a kind of system and method realizing photovoltaic module fault diagnosis based on photovoltaic intelligent header box.
Background technology
Solar energy is a kind of low-density plane energy, needs the photovoltaic module of enormous amount to carry out connection in series-parallel and is combined into light
Photovoltaic array is to reach power demand.In large-sized photovoltaic power station, photovoltaic module substantial amounts, work under bad environment, laying dust, heat
Speckle, the fault such as component aging happen occasionally, and very big reduce system generating efficiency.Photovoltaic plant is carried out real-time monitoring and and
When identify fault type, fault location is the groundwork of modern photovoltaic plant intelligence O＆M.
Photovoltaic system method for diagnosing faults is mainly using dispersion monitoring, the method focusing at present.Using sensor
Real-time acquisition system running voltage, current data are simultaneously sent to Surveillance center, the ambient parameter such as combination temperature, wind direction, constitute system
System characteristic vector, by Surveillance center's centralized calculation, assessment system state.But, this method is difficult to take into account system cost simultaneously
And accuracy of detection.Number of sensors will be significantly greatly increased cost too much, also can increase the workload of O＆M simultaneously；Sensor very little,
Surveillance center is then difficult to accurately identify fault, and fault location is also just more difficult, often remains a need for field maintenance person and carries out event
Barrier investigation, increased the labor intensity of human cost and staff.
Content of the invention
The purpose of the present invention is the shortcoming overcoming above-mentioned prior art, there is provided one kind can be real by intelligent junction box
Now improve accuracy of detection, and fault location precision controlling is realized photovoltaic module in component-level based on photovoltaic intelligent header box
The system and method for fault diagnosis.
To achieve these goals, the present invention has and constitutes as follows:
The method that photovoltaic module fault diagnosis should be realized based on photovoltaic intelligent header box, comprises the following steps:
(1) working condition according to each photovoltaic group string determines there is abnormal header box；
(2) calculate photovoltaic module state parameter, and photovoltaic module state is determined according to described photovoltaic module state parameter
Vector；
(3) fault type, fault location are determined according to described photovoltaic module state vector, and notify staff
Maintenance.
It is preferred that described step (1) comprises the following steps:
(1-1) operating current of each photovoltaic group string of header box Real-time Collection described in and running voltage are simultaneously uploaded in monitoring
The heart；
(1-2) operating current of each photovoltaic group string and running voltage are described by way of bivector；
(1-3) in units of header box, described bivector is merged into header box state vector
(1-4) pass through cluster analyses, judge that according to described header box state vector the working condition of photovoltaic array is normal,
If it is, the working condition of photovoltaic array is designated as 1, otherwise, the working condition of photovoltaic array is designated as 0；
(1-5) system running state is fed back to the header box belonging to each photovoltaic array by the Surveillance center described in；
(1-6) judge the state that described header box receives, if 1, then continue step (1-1), if 0, then continue
Continuous step (2).
It is preferred that described step (2) comprises the following steps:
(2-1) electric current of each photovoltaic group string, the meansigma methodss of calculating current and the variance of electric current are gathered；
(2-2) carry out Fourier transformation after the electric current of photovoltaic group string being filtered processing, obtain frequency domain character；
(2-3) scan u-i curve, calculate short circuit current, open-circuit voltage and fill factor, curve factor；
(2-4) described photovoltaic module state parameter is merged, as photovoltaic module state vector；.
It is preferred that described step (3) comprises the following steps:
(3-1) the distance between described photovoltaic module state vector and standard state vector are calculated, according to this distance
Size determines whether to break down；
(3-2) judging whether to break down, if it is, continuing step (3-3), otherwise, continuing step (1)；
(3-3) the size fault location according to described distance, and abort situation is reported Surveillance center；
(3-4) Surveillance center gives a warning according to the data that header box uploads, and staff of arranging work.
Also include a kind of photovoltaic realizing the method any one of Claims 1-4 based on photovoltaic intelligent header box
The system of component faults diagnosis is it is characterised in that described system includes:
At least one header box, for gathering the operational data of each photovoltaic group string and being uploaded to Surveillance center, and according to prison
The instruction at control center calculates photovoltaic module state parameter, detection fault location, is uploaded to Surveillance center, described confluxes
Case is connected with described Surveillance center；
Surveillance center, for receiving the data of header box upload, judges the work shape of the photovoltaic group string of this header box subordinate
State whether there is extremely, and operating state data is returned to this header box, gives a warning when failures are detected and arranges work
Make staff.
It is preferred that described header box includes:
Communication module, for realizing the real-time Communication for Power of header box and Surveillance center；
Digital sampling and processing, for the operational data of each photovoltaic group string of Real-time Collection；
Fault detection module, for calculating photovoltaic module state parameter, and fault location.
Employ the system and method realizing photovoltaic module fault diagnosis based on photovoltaic intelligent header box in this invention, with
Monitoring system is intimately associated, Surveillance center according to header box low-frequency data, using big data analysis determine abnormal header box and to
Corresponding header box sends fault recognition and positioning instruction, and header box opens fault detection module after receiving fault recognition order
And testing result is reported Surveillance center, greatly improve fault detection efficiency；Fault diagnosis is intelligent, using group string electric current and
U-i curve construction multiparameter state space, accurately detects and positions photovoltaic module fault；Acquisition cost and accuracy of detection flat
Weighing apparatus, has larger practicality；Detection method degree of modularity height, it is easy to the system integration, is with a wide range of applications.
Brief description
Fig. 1 is the overall flow of the method realizing photovoltaic module fault diagnosis based on photovoltaic intelligent header box of the present invention
Figure.
Fig. 2 is the system architecture schematic diagram realizing photovoltaic module fault diagnosis based on photovoltaic intelligent header box of the present invention.
Specific embodiment
In order to more clearly describe the technology contents of the present invention, to carry out further with reference to specific embodiment
Description.
In a preferred embodiment, the side of photovoltaic module fault diagnosis should be realized based on photovoltaic intelligent header box
Method, comprises the following steps:
(1) working condition according to each photovoltaic group string determines there is abnormal header box；
(2) calculate photovoltaic module state parameter, and photovoltaic module state is determined according to described photovoltaic module state parameter
Vector；
(3) fault type, fault location are determined according to described photovoltaic module state vector, and notify staff
Maintenance.
In one kind preferably embodiment, described step (1) comprises the following steps:
(1-1) operating current of each photovoltaic group string of header box Real-time Collection described in and running voltage are simultaneously uploaded in monitoring
The heart；
(1-2) operating current of each photovoltaic group string and running voltage are described by way of bivector；
(1-3) in units of header box, described bivector is merged into header box state vector
(1-4) pass through cluster analyses, judge that according to described header box state vector the working condition of photovoltaic array is normal,
If it is, the working condition of photovoltaic array is designated as 1, otherwise, the working condition of photovoltaic array is designated as 0；
(1-5) system running state is fed back to the header box belonging to each photovoltaic array by the Surveillance center described in；
(1-6) judge the state that described header box receives, if 1, then continue step (1-1), if 0, then continue
Continuous step (2).
In one kind preferably embodiment, described step (2) comprises the following steps:
(2-1) electric current of each photovoltaic group string, the meansigma methodss of calculating current and the variance of electric current are gathered；
(2-2) carry out Fourier transformation after the electric current of photovoltaic group string being filtered processing, obtain frequency domain character；
(2-3) scan u-i curve, calculate short circuit current, open-circuit voltage and fill factor, curve factor；
(2-4) described photovoltaic module state parameter is merged, as photovoltaic module state vector；.
In one kind preferably embodiment, described step (3) comprises the following steps:
(3-1) the distance between described photovoltaic module state vector and standard state vector are calculated, according to this distance
Size determines whether to break down；
(3-2) judging whether to break down, if it is, continuing step (3-3), otherwise, continuing step (1)；
(3-3) the size fault location according to described distance, and abort situation is reported Surveillance center；
(3-4) Surveillance center gives a warning according to the data that header box uploads, and staff of arranging work.
Refer to shown in Fig. 2, present invention additionally comprises a kind of system of the photovoltaic module fault diagnosis of said method, its feature
It is, described system includes:
At least one header box, for gathering the operational data of each photovoltaic group string and being uploaded to Surveillance center, and according to prison
The instruction at control center calculates photovoltaic module state parameter, detection fault location, is uploaded to Surveillance center, described confluxes
Case is connected with described Surveillance center；
Surveillance center, for receiving the data of header box upload, judges the work shape of the photovoltaic group string of this header box subordinate
State whether there is extremely, and operating state data is returned to this header box, gives a warning when failures are detected and arranges work
Make staff.
In one kind preferably embodiment, described header box includes:
Communication module, for realizing the real-time Communication for Power of header box and Surveillance center；
Digital sampling and processing, for the operational data of each photovoltaic group string of Real-time Collection；
Fault detection module, for calculating photovoltaic module state parameter, and fault location.
The technical program carries out fault detect using the intelligent junction box of integrated fault-detecting ability, achieves well
State both balances, on the premise of somewhat increasing system cost, greatly improve accuracy of detection, and by fault location precision control
System, in component-level, greatly reduces attendant's workload.Header box is the important component part of photovoltaic generating system, and tradition is converged
The effect of stream case is sent to inverter after simply collecting photovoltaic group string electric current.Intelligent junction box in this programme is integrated with intelligence
Detection module, can very real-time monitoring each string electric current of photovoltaic module, voltage, be out of order by signal processing in time detection,
Realize the intelligent O＆M of whole photovoltaic plant with Surveillance center collaborative work.
In a kind of specific embodiment, header box passes through integrated online fault-detecting ability, and real with Surveillance center
When communication, realize the intelligent O＆M of photovoltaic plant.Specifically comprise following methods step:
1st, intelligent junction box Real-time Collection each group string operating current, voltage be uploaded to Surveillance center；
2nd, Surveillance center uses bivector (voltage, electric current) description group string-like state, and in units of header box, will be each
The group string-like state bivector that header box is received merges into header box state vector, by cluster analyses, header box state is divided
Become health and fault two class, health is designated as 1, and fault is designated as 0；
3rd, system running state is fed back to intelligent junction box by Surveillance center；
If the 4, intelligent junction box receives state 1, return to step 1；
If the 5, intelligent junction box receives state 0, enter step 6；
6th, intelligent junction box startup separator detection module
7th, detection module high speed acquisition each group string electric current, calculating current meansigma methodss and variance；
8th, carry out Fourier transformation after electric current being filtered processing, obtain frequency domain character；
9th, scan u-i curve, calculate short circuit current, open-circuit voltage and fill factor, curve factor；
10th, step 7 to step 9 is calculated parameters obtained to merge, as component states vector；
11st, the distance between calculation procedure 10 gained state vector and standard vector, determine fault according to this apart from size
Whether occurring and fault location, fault occurs if confirming, enters step 12, otherwise entering step 1；
12nd, abort situation is reported Surveillance center by header box；
13rd, Surveillance center uploads data according to intelligent junction box and sends early warning, and staff of arranging work.
Employ the system and method realizing photovoltaic module fault diagnosis based on photovoltaic intelligent header box in this invention, with
Monitoring system is intimately associated, Surveillance center according to header box low-frequency data, using big data analysis determine abnormal header box and to
Corresponding header box sends fault recognition and positioning instruction, and header box opens fault detection module after receiving fault recognition order
And testing result is reported Surveillance center, greatly improve fault detection efficiency；Fault diagnosis is intelligent, using group string electric current and
U-i curve construction multiparameter state space, accurately detects and positions photovoltaic module fault；Acquisition cost and accuracy of detection flat
Weighing apparatus, has larger practicality；Detection method degree of modularity height, it is easy to the system integration, is with a wide range of applications.
In this description, the present invention is described with reference to its specific embodiment.But it is clear that still can make
Various modifications and alterations are without departing from the spirit and scope of the present invention.Therefore, specification and drawings be considered as illustrative
And it is nonrestrictive.
Claims (6)
1. a kind of the method for photovoltaic module fault diagnosis is realized it is characterised in that described method based on photovoltaic intelligent header box
Comprise the following steps:
(1) working condition according to each photovoltaic group string determines there is abnormal header box；
(2) calculate photovoltaic module state parameter, and photovoltaic module state vector is determined according to described photovoltaic module state parameter；
(3) fault type, fault location are determined according to described photovoltaic module state vector, and notify staff to tie up
Repair.
2. the method that photovoltaic module fault diagnosis is realized based on photovoltaic intelligent header box according to claim 1, its feature
It is, described step (1) comprises the following steps:
(1-1) operating current of each photovoltaic group string of header box Real-time Collection described in and running voltage are simultaneously uploaded to Surveillance center；
(1-2) operating current of each photovoltaic group string and running voltage are described by way of bivector；
(1-3) in units of header box, described bivector is merged into header box state vector
(1-4) pass through cluster analyses, judge that according to described header box state vector the working condition of photovoltaic array is normal, if
It is then the working condition of photovoltaic array to be designated as 1, otherwise, the working condition of photovoltaic array is designated as 0；
(1-5) system running state is fed back to the header box belonging to each photovoltaic array by the Surveillance center described in；
(1-6) judge the state that described header box receives, if 1, then continue step (1-1), if 0, then continue step
Suddenly (2).
3. the method that photovoltaic module fault diagnosis is realized based on photovoltaic intelligent header box according to claim 1, its feature
It is, described step (2) comprises the following steps:
(2-1) electric current of each photovoltaic group string, the meansigma methodss of calculating current and the variance of electric current are gathered；
(2-2) carry out Fourier transformation after the electric current of photovoltaic group string being filtered processing, obtain frequency domain character；
(2-3) scan u-i curve, calculate short circuit current, open-circuit voltage and fill factor, curve factor；
(2-4) described photovoltaic module state parameter is merged, as photovoltaic module state vector.
4. the method that photovoltaic module fault diagnosis is realized based on photovoltaic intelligent header box according to claim 1, its feature
It is, described step (3) comprises the following steps:
(3-1) the distance between described photovoltaic module state vector and standard state vector are calculated, according to the size of this distance
Determine whether to break down；
(3-2) judging whether to break down, if it is, continuing step (3-3), otherwise, continuing step (1)；
(3-3) the size fault location according to described distance, and abort situation is reported Surveillance center；
(3-4) Surveillance center gives a warning according to the data that header box uploads, and staff of arranging work.
5. a kind of photovoltaic module fault realizing the method any one of Claims 1-4 based on photovoltaic intelligent header box
The system of diagnosis is it is characterised in that described system includes:
At least one header box, for gathering the operational data of each photovoltaic group string and being uploaded to Surveillance center, and according in monitoring
The instruction of the heart calculates photovoltaic module state parameter, detection fault location, is uploaded to Surveillance center, described header box with
Described Surveillance center connects；
Surveillance center, for receiving the data of header box upload, judges that the working condition of the photovoltaic group string of this header box subordinate is
No exist extremely, and operating state data is returned to this header box, and give a warning and arrange work people when failures are detected
Member fixes a breakdown.
6. the system of the photovoltaic module fault diagnosis based on photovoltaic intelligent header box according to claim 5, its feature exists
In described header box includes:
Communication module, for realizing the real-time Communication for Power of header box and Surveillance center；
Digital sampling and processing, for the operational data of each photovoltaic group string of Real-time Collection；
Fault detection module, for calculating photovoltaic module state parameter, and fault location.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610692520.2A CN106357217A (en) | 2016-08-19 | 2016-08-19 | System and method of realization of PV module fault diagnosis based on PV intelligent combiner box |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610692520.2A CN106357217A (en) | 2016-08-19 | 2016-08-19 | System and method of realization of PV module fault diagnosis based on PV intelligent combiner box |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106357217A true CN106357217A (en) | 2017-01-25 |
Family
ID=57844643
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610692520.2A Pending CN106357217A (en) | 2016-08-19 | 2016-08-19 | System and method of realization of PV module fault diagnosis based on PV intelligent combiner box |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106357217A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108306270A (en) * | 2018-02-27 | 2018-07-20 | 华翔翔能电气股份有限公司 | Photo-voltaic power supply power distribution network short circuit current control method, intelligent terminal and storage medium |
| CN108696249A (en) * | 2017-04-11 | 2018-10-23 | 丰郅(上海)新能源科技有限公司 | Photovoltaic module Fault Quick Diagnosis method |
| CN108964606A (en) * | 2018-08-23 | 2018-12-07 | 上海电气分布式能源科技有限公司 | A kind of photovoltaic system hot spot fault detection method |
| CN109085437A (en) * | 2018-09-03 | 2018-12-25 | 苏州协鑫新能源运营科技有限公司 | A kind of detection method of photovoltaic plant equipment health value |
| CN109284840A (en) * | 2018-10-30 | 2019-01-29 | 安徽尚特杰清洁能源集团有限公司 | A kind of fault handling method of photovoltaic power station |
| CN111740698A (en) * | 2020-07-01 | 2020-10-02 | 江苏新塔物联网研究院有限公司 | Photovoltaic module parameter on-line monitoring and fault diagnosis system |
| 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 |
-
2016
- 2016-08-19 CN CN201610692520.2A patent/CN106357217A/en active Pending
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108696249A (en) * | 2017-04-11 | 2018-10-23 | 丰郅(上海)新能源科技有限公司 | Photovoltaic module Fault Quick Diagnosis method |
| CN108696249B (en) * | 2017-04-11 | 2021-05-14 | 丰郅(上海)新能源科技有限公司 | Rapid diagnosis method for faults of photovoltaic module |
| CN108306270A (en) * | 2018-02-27 | 2018-07-20 | 华翔翔能电气股份有限公司 | Photo-voltaic power supply power distribution network short circuit current control method, intelligent terminal and storage medium |
| CN108964606A (en) * | 2018-08-23 | 2018-12-07 | 上海电气分布式能源科技有限公司 | A kind of photovoltaic system hot spot fault detection method |
| CN109085437A (en) * | 2018-09-03 | 2018-12-25 | 苏州协鑫新能源运营科技有限公司 | A kind of detection method of photovoltaic plant equipment health value |
| CN109284840A (en) * | 2018-10-30 | 2019-01-29 | 安徽尚特杰清洁能源集团有限公司 | A kind of fault handling method of photovoltaic power station |
| 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 |
| JP2023508758A (en) * | 2020-03-13 | 2023-03-03 | エンヴィジョン デジタル インターナショナル ピーティーイー．エルティーディー． | Method and Apparatus, Device and Storage Medium for Determining Operating State of Photovoltaic Array |
| JP7314424B2 (en) | 2020-03-13 | 2023-07-25 | エンヴィジョン デジタル インターナショナル ピーティーイー．エルティーディー． | Method and Apparatus, Device and Storage Medium for Determining Operating State of Photovoltaic Array |
| US11736062B2 (en) | 2020-03-13 | 2023-08-22 | Envision Digital International Pte. Ltd. | Method and apparatus for determining operating state of photovoltaic array, device and storage medium |
| CN111740698A (en) * | 2020-07-01 | 2020-10-02 | 江苏新塔物联网研究院有限公司 | Photovoltaic module parameter on-line monitoring and fault diagnosis system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106357217A (en) | System and method of realization of PV module fault diagnosis based on PV intelligent combiner box | |
| CN106777984B (en) | A method of photovoltaic array Working state analysis and fault diagnosis are realized based on density clustering algorithm | |
| CN106160659B (en) | A kind of photovoltaic plant region orients method for diagnosing faults | |
| CN103901882B (en) | A kind of system and method for train dynamics system on-line monitoring fault diagnosis | |
| CN104767482B (en) | A kind of photovoltaic module is aging and short trouble inline diagnosis method | |
| CN103235221B (en) | Fault detecting system and fault detecting method for photovoltaic power station remote monitoring | |
| CN104391189B (en) | Large-sized photovoltaic array fault diagnosis localization method based on three-level diagnosis | |
| CN106059496B (en) | A kind of photovoltaic module array performance monitoring and the method and system of Fault Identification | |
| CN102723394B (en) | Junction box of photovoltaic assembly | |
| CN106100579B (en) | A kind of photovoltaic plant method for diagnosing faults based on data analysis | |
| CN102565625A (en) | Method for intelligently diagnosing thermal defects of high-voltage transmission line based on infrared image | |
| CN104753461A (en) | Method for diagnosing and classifying faults of photovoltaic power generation arrays on basis of particle swarm optimization support vector machines | |
| CN104579166A (en) | Distributed photovoltaic power station monitoring system and fault diagnosis method thereof | |
| CN102331540A (en) | On-line monitoring device and method for corona discharge of ultra-high voltage power transmission line | |
| CN107346899A (en) | A kind of photovoltaic power station system stability assessment method and system | |
| CN106130480B (en) | A kind of photovoltaic module outdoor generating characteristic and decay situation test system | |
| CN105891659A (en) | Open-circuit fault diagnosis method for wind power converter | |
| KR101743485B1 (en) | Diagnosis system of photovoltaic generation using internet of small things | |
| CN106291230A (en) | A kind of Multifunctional power cable fault location on-line monitoring system | |
| CN111010083A (en) | Early warning system is synthesized to photovoltaic power plant trouble | |
| CN107294492A (en) | The fault detect alignment system of battery panel in a kind of large-sized photovoltaic array | |
| CN107843285A (en) | A kind of charming appearance and behaviour dynamic effect remote supervision system of Transmission Tower-line and application | |
| CN108599724A (en) | A kind of photovoltaic module on-line monitoring system and monitoring method | |
| CN103323753A (en) | Ultraviolet partial discharge on-line monitoring system based on photon-type positioning | |
| CN107727997A (en) | A kind of transmission line of electricity makes an inspection tour flight monitoring system online |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information |
Address after: 200122 Pudong New Area Pu circuit 489, Shanghai, 11 floor, Yan Qiao building. Applicant after: Shanghai Xuji Electric Co., Ltd. Applicant after: Xuji Group Co., Ltd. Applicant after: State Grid Corporation of China Address before: 200122 Pudong New Area Pu circuit 489, Shanghai, 11 floor, Yan Qiao building. Applicant before: Shanghai Xuji Electric Co., Ltd. Applicant before: Xuji Group Co., Ltd. Applicant before: State Grid Corporation of China |
|
| CB02 | Change of applicant information | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170125 |
|
| RJ01 | Rejection of invention patent application after publication |