CN106100578A - A kind of fault detection method being applicable to photovoltaic parallel in system and system thereof - Google Patents
A kind of fault detection method being applicable to photovoltaic parallel in system and system thereof Download PDFInfo
- Publication number
- CN106100578A CN106100578A CN201610375184.9A CN201610375184A CN106100578A CN 106100578 A CN106100578 A CN 106100578A CN 201610375184 A CN201610375184 A CN 201610375184A CN 106100578 A CN106100578 A CN 106100578A
- Authority
- CN
- China
- Prior art keywords
- photovoltaic
- efficiency
- photovoltaic array
- output
- environmental condition
- 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
- 238000001514 detection method Methods 0.000 title claims abstract description 37
- 230000007613 environmental effect Effects 0.000 claims abstract description 37
- 238000000034 method Methods 0.000 claims abstract description 15
- 238000004364 calculation method Methods 0.000 claims description 4
- 239000000700 radioactive tracer Substances 0.000 claims 1
- 238000006243 chemical reaction Methods 0.000 abstract description 3
- 238000010998 test method Methods 0.000 abstract 1
- 238000011161 development Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 241000406668 Loxodonta cyclotis Species 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 230000035484 reaction time Effects 0.000 description 1
- 230000001172 regenerating effect Effects 0.000 description 1
- 238000012360 testing method Methods 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R21/00—Arrangements for measuring electric power or power factor
- G01R21/001—Measuring real or reactive component; Measuring apparent energy
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
-
- H02J3/383—
-
- 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
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
-
- 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
- Y04S10/52—Outage or fault management, e.g. fault detection or location
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Inverter Devices (AREA)
- Photovoltaic Devices (AREA)
Abstract
The invention discloses a kind of fault detection method being applicable to photovoltaic parallel in system and system thereof.Wherein, described method includes: A, calculate under current environmental condition, the peak power output of photovoltaic array；B, according to described peak power output, in conjunction with control efficiency and the efficiency of combining inverter of MPPT controller, calculate and obtain photovoltaic array theoretical maximum output under current environmental condition；C, detection obtain the real output that photovoltaic array is current；Theoretical maximum output and real output described in D, comparison, when difference of them exceedes predetermined threshold value, it is judged that photovoltaic array breaks down.It belongs to online test method, the failure condition of photovoltaic system can be reflected timely, it is easy to engineering staff safeguard timely, and consider each energy conversion link in photovoltaic parallel in system during detection, there is higher accuracy higher, estimating of photovoltaic system gross generation can also be realized simultaneously.
Description
Technical field
The present invention relates to photovoltaic fault detection technique field, particularly relate to a kind of fault inspection being applicable to photovoltaic parallel in system
Survey method and system thereof.
Background technology
Along with becoming increasingly conspicuous of environmental problem, the problem that traditional wide area bulk power grid stability, reliability, safety run
Emerge in large numbers, force people to direct attention to cleaning, the utilization of green regenerative resource.Solar photovoltaic industry has huge
Market potential and development space, be not only always maintained at the development speed more than 50%, in past 10 years in coming 10 years
Also by expansion continuously and healthily.Quantity and the Rapid Expansion of scale, photovoltaic system along with distributed photovoltaic power generation system Construction
Maintenance increasingly become a white elephant of operating agency.Photovoltaic system generally runs in the case of unmanned,
The system failure may result in whole system output and efficiency reduces, and affects the operation of whole system time serious.
Existing fault detect usually uses the non-online forms such as artificial investigation, and fault generation the reaction time is relatively slow, therefore for
The stable operation of parallel net type photovoltaic system has undesirable effect.
Therefore, prior art need development.
Summary of the invention
In place of above-mentioned the deficiencies in the prior art, it is an object of the invention to provide one and be applicable to photovoltaic parallel in system
Fault detection method and system, it is intended to solve existing photovoltaic system when breaking down, be not easy to safeguard in time, cause be
The problem that system output and efficiency reduce.
In order to achieve the above object, this invention takes techniques below scheme:
A kind of fault detection method being applicable to photovoltaic parallel in system, described photovoltaic parallel in system includes: photovoltaic array,
MPPT controller and combining inverter, wherein, including:
A, calculate under current environmental condition, the peak power output of photovoltaic array；
B, according to described peak power output, in conjunction with control efficiency and the efficiency of combining inverter of MPPT controller,
Calculate and obtain photovoltaic array theoretical maximum output under current environmental condition；
C, detection obtain the real output that photovoltaic array is current；
Theoretical maximum output and real output described in D, comparison, when difference of them exceedes predetermined threshold value,
Judge that photovoltaic array breaks down.
The fault detection method of described photovoltaic parallel in system, wherein, described step A specifically includes:
A1, the intensity of sunshine obtained in current environmental condition and ambient temperature；
A2, by photovoltaic array region characteristic predictor method, according to current intensity of sunshine and temperature, calculate and obtain light
The peak power output of photovoltaic array.
The fault detection method of described photovoltaic parallel in system, wherein, before step A, described method also includes:
A01, gather under the environmental condition of some different intensity of sunshines and ambient temperature, the short circuit current of photovoltaic array,
Open-circuit voltage, maximum power point voltage and four characterisitic parameters of maximum power point electric current；
A02, according to described characterisitic parameter, the characteristic curve that reduction photovoltaic array is relevant to environmental condition.
The fault detection method of described photovoltaic parallel in system, wherein, described step B specifically includes:
B1, the efficiency curve obtaining MPPT controller and the efficiency curve of combining inverter；
B2, respectively according to efficiency curve and the efficiency curve of combining inverter of described MPPT controller, calculate MPPT
The control efficiency of controller and the efficiency of combining inverter；
B3, described peak power output is multiplied with the control efficiency of MPPT controller and the efficiency of combining inverter, obtains
Obtain theoretical maximum output.
A kind of fault detection system being applicable to photovoltaic parallel in system, described photovoltaic parallel in system includes: photovoltaic array,
MPPT controller and combining inverter, wherein, described fault detection system includes:
Computing module, for calculating under current environmental condition, the peak power output of photovoltaic array；
Output power acquisition module, for according to described peak power output, in conjunction with MPPT controller control efficiency with
And the efficiency of combining inverter, calculate and obtain photovoltaic array theoretical maximum output under current environmental condition；
Fault detection module, obtains, for detecting, the real output that photovoltaic array is current；
Comparison module, for relatively described theoretical maximum output and real output, exceedes pre-in difference of them
During fixed threshold value, it is judged that photovoltaic array breaks down.
The described fault detection system being applicable to photovoltaic parallel in system, wherein, described computing module specifically includes:
Temperature sensor, for obtaining the ambient temperature in current environmental condition；
Standard solar cell, for obtaining the intensity of sunshine in current environmental condition；
Computing unit, for by photovoltaic array region characteristic predictor method, according to current intensity of sunshine and temperature,
Calculate the peak power output obtaining photovoltaic array.
The described fault detection system being applicable to photovoltaic parallel in system, wherein, described system also includes a characteristic curve
Build module, for gathering under the environmental condition of some different intensity of sunshines and ambient temperature, the short circuit current of photovoltaic array,
Open-circuit voltage, maximum power point voltage and four characterisitic parameters of maximum power point electric current；And according to described characterisitic parameter, also
The characteristic curve that former photovoltaic array is relevant to environmental condition.
The described fault detection system being applicable to photovoltaic parallel in system, wherein, described output power acquisition module includes:
Efficiency curve collecting unit, the efficiency of efficiency curve and combining inverter for obtaining MPPT controller is bent
Line；
Efficiency calculation unit, for respectively according to efficiency curve and the efficiency of combining inverter of described MPPT controller
Curve, calculates control efficiency and the efficiency of combining inverter of MPPT controller；
Output calculates unit, for by described peak power output and the control efficiency of MPPT controller and grid-connected inverse
The efficiency becoming device is multiplied, it is thus achieved that theoretical maximum output.
Beneficial effect: a kind of fault detection method being applicable to photovoltaic parallel in system of present invention offer and system thereof, belongs to
In on-line checking, it is possible to reflect the failure condition of photovoltaic system timely, it is simple to engineering staff safeguards timely, Er Qie
Consider each energy conversion link in photovoltaic parallel in system during detection, there is higher accuracy higher.Examine in fault
While survey, it is also possible to realize estimating of photovoltaic system gross generation.
Accompanying drawing explanation
Fig. 1 is the method flow diagram of the fault detection method being applicable to photovoltaic parallel in system of the specific embodiment of the invention.
Fig. 2 is photovoltaic parallel in system and the structural representation of fault detection system thereof of the specific embodiment of the invention.
Fig. 3 is the functional block diagram of the fault detection system being applicable to photovoltaic parallel in system of the specific embodiment of the invention.
Fig. 4 is the typical efficiencies curve of MPPT controller.
Fig. 5 is the typical efficiencies curve of photovoltaic combining inverter.
Detailed description of the invention
The present invention provides a kind of fault detection method being applicable to photovoltaic parallel in system and system thereof.For making the mesh of the present invention
, technical scheme and effect clearer, clear and definite, the present invention is described in more detail for the embodiment that develops simultaneously referring to the drawings.
Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.
As in figure 2 it is shown, for the photovoltaic parallel in system described in the specific embodiment of the invention.Comprising: photovoltaic array 10, MPPT
Controller 20 and combining inverter 30.
As it is shown in figure 1, be the fault detection method being applicable to photovoltaic parallel in system of the specific embodiment of the invention.Described side
Method comprises the steps:
S100, calculate under current environmental condition, the peak power output of photovoltaic array.
S200, according to described peak power output, in conjunction with control efficiency and the effect of combining inverter of MPPT controller
Rate, calculates and obtains photovoltaic array theoretical maximum output under current environmental condition.
S300, detection obtain the real output that photovoltaic array is current.
Theoretical maximum output P described in S400, comparison1With real output P2, exceed predetermined threshold in difference of them
During value, it is judged that photovoltaic array breaks down.Described threshold value can be by P1、P2Data record and analyze, in conjunction with actual
Situation obtains, and the process of its concrete analysis is well known to those skilled in the art, and therefore not to repeat here.And thus to system whether
Normal work judges and gives the instruction of corresponding state, and prompting engineering staff keep in repair in time, fixes a breakdown.
Concrete, step S100 specifically includes: first, obtains the intensity of sunshine in current environmental condition and ambient temperature.
Then, by photovoltaic array region characteristic predictor method, according to current intensity of sunshine and temperature, calculate and obtain photovoltaic array
Peak power output.
More specifically, before step S100, described method also includes the characteristic curve building photovoltaic array, thus estimates
Peak power output under current environmental condition.
Its concrete grammar includes: first, gathers under the environmental condition of some different intensity of sunshines and ambient temperature, photovoltaic
The short circuit current of array, open-circuit voltage, maximum power point voltage and four characterisitic parameters of maximum power point electric current, then, root
According to described characterisitic parameter, the characteristic curve that reduction photovoltaic array is relevant to environmental condition.
In photovoltaic parallel in system meter, system is analyzed by the general engineering model using photovoltaic array.Engineering model
Learning with environmental correclation four key property parameters (short circuit current, open-circuit voltage, maximum power point voltage and maximum works
Rate point electric current) just can reduce the characteristic curve of photovoltaic array.
Therefore, (temperature sensor shown in Fig. 1 can be used to carry out site environment temperature when system debug is installed
Measure), intensity of sunshine (use Fig. 1 shown in normal cell measure), the short circuit current of photovoltaic array, open circuit electricity in system
Pressure, maximum power point voltage and maximum power point electric current are tested.
According to above-mentioned testing result, can to photovoltaic array under any intensity of sunshine, temperature conditions in conjunction with equation below
Big output is estimated.
Δ T '=T '-Tref (1)
Wherein, coefficient a, the representative value of b, c is: a=0.0025/ DEG C, b=0.5, c=0.00288/ DEG C；SrefFor standard
Under the conditions of intensity of sunshine；TrefFor temperature value under standard conditions；Isc、Voc、Im、Vm, S, T photovoltaic when being respectively system installation and debugging
The short circuit current of array, open-circuit voltage, maximum power point electric current, maximum power point voltage, intensity of sunshine and temperature；I′sc、V
′oc、I′m、V′m, S ', T ' be respectively system run time, the short circuit current of photovoltaic array, open-circuit voltage, peak power under new environment
Point electric current, maximum power point voltage and intensity of sunshine and temperature.Estimate situation according to above-mentioned, photovoltaic array can be obtained
Big output f (xpv)。
It is preferred that step S200 specifically includes:
First the efficiency curve (as shown in Figure 4) of MPPT controller and the efficiency curve of combining inverter, are obtained (such as figure
Shown in 5).
Then, respectively according to efficiency curve and the efficiency curve of combining inverter of described MPPT controller, calculate
The control efficiency of MPPT controller and the efficiency of combining inverter.
Finally, described peak power output is multiplied with the control efficiency of MPPT controller and the efficiency of combining inverter,
Obtain theoretical maximum output.
Owing to MPPT controller can not very follow the tracks of the maximum power point of system, MPPT controller itself has simultaneously
Certain power attenuation.Here, set the control efficiency of MPPT controller as f (xmppt).It addition, the efficiency of combining inverter also root
There is certain change (as shown in Figure 5) according to real-time behavior, the efficiency of combining inverter can be set as f (xinv)。
Therefore, final theoretical maximum output P1=f (xpv)×f(xmppt)×f(xinv).Above-mentioned calculation, fills
Each energy conversion links considered in photovoltaic system divided, has higher accuracy.
As shown in Figures 2 and 3, for a kind of fault detect system being applicable to photovoltaic parallel in system of the specific embodiment of the invention
System.Described photovoltaic parallel in system includes: photovoltaic array 10, MPPT controller 20 and combining inverter 30.Described fault detect
System 40 includes:
Computing module 100, for calculating under current environmental condition, the peak power output of photovoltaic array；
Output power acquisition module 200, for according to described peak power output, in conjunction with the control efficiency of MPPT controller
And the efficiency of combining inverter, calculate and obtain photovoltaic array theoretical maximum output under current environmental condition；
Fault detection module 300, obtains, for detecting, the real output that photovoltaic array is current；
Comparison module 400, for relatively described theoretical maximum output and real output, exceedes in difference of them
During predetermined threshold value, it is judged that photovoltaic array breaks down.
Concrete, as it is shown on figure 3, described computing module 100 specifically includes: temperature sensor 110, work as front ring for obtaining
Ambient temperature in the condition of border；Standard solar cell 120, for obtaining the intensity of sunshine in current environmental condition；Computing unit
130, for by photovoltaic array region characteristic predictor method, according to current intensity of sunshine and temperature, calculate and obtain photovoltaic
The peak power output of array.
It is also preferred that the left as it is shown on figure 3, described system also includes that a characteristic curve builds module 500, be used for gathering some differences
Intensity of sunshine and ambient temperature environmental condition under, the short circuit current of photovoltaic array, open-circuit voltage, maximum power point voltage with
And four characterisitic parameters of maximum power point electric current；And according to described characterisitic parameter, reduction photovoltaic array is relevant to environmental condition
Characteristic curve.
More specifically, described output power acquisition module 200 includes: efficiency curve collecting unit 210, is used for obtaining MPPT
The efficiency curve of controller and the efficiency curve of combining inverter；Efficiency calculation unit 220, for respectively according to described MPPT
The efficiency curve of controller and the efficiency curve of combining inverter, calculate control efficiency and the combining inverter of MPPT controller
Efficiency；Output calculates unit 230, for by described peak power output and the control efficiency of MPPT controller and grid-connected
The efficiency of inverter is multiplied, it is thus achieved that theoretical maximum output.As detailed above.
It is understood that for those of ordinary skills, can according to technical scheme and this
Bright design in addition equivalent or change, and all these change or replace the guarantor that all should belong to appended claims of the invention
Protect scope.
Claims (8)
1. being applicable to a fault detection method for photovoltaic parallel in system, described photovoltaic parallel in system includes: photovoltaic array, MPPT
Controller and combining inverter, it is characterised in that including:
A, calculate under current environmental condition, the peak power output of photovoltaic array；
B, according to described peak power output, in conjunction with control efficiency and the efficiency of combining inverter of MPPT controller, calculate
Obtain photovoltaic array theoretical maximum output under current environmental condition；
C, detection obtain the real output that photovoltaic array is current；
Theoretical maximum output and real output described in D, comparison, when difference of them exceedes predetermined threshold value, it is judged that
Photovoltaic array breaks down.
The fault detection method of photovoltaic parallel in system the most according to claim 1, it is characterised in that described step A is concrete
Including:
A1, the intensity of sunshine obtained in current environmental condition and ambient temperature；
A2, by photovoltaic array region characteristic predictor method, according to current intensity of sunshine and temperature, calculate and obtain photovoltaic battle array
The peak power output of row.
The fault detection method of photovoltaic parallel in system the most according to claim 1, it is characterised in that before step A, institute
Method of stating also includes:
A01, gather under the environmental condition of some different intensity of sunshines and ambient temperature, the short circuit current of photovoltaic array, open circuit
Voltage, maximum power point voltage and four characterisitic parameters of maximum power point electric current；
A02, according to described characterisitic parameter, the characteristic curve that reduction photovoltaic array is relevant to environmental condition.
The fault detection method of photovoltaic parallel in system the most according to claim 1, it is characterised in that described step B is concrete
Including:
B1, the efficiency curve obtaining MPPT controller and the efficiency curve of combining inverter；
B2, respectively according to efficiency curve and the efficiency curve of combining inverter of described MPPT controller, calculate MPPT and control
The control efficiency of device and the efficiency of combining inverter；
B3, described peak power output is multiplied with the control efficiency of MPPT controller and the efficiency of combining inverter, it is thus achieved that reason
Opinion peak power output.
5. being applicable to a fault detection system for photovoltaic parallel in system, described photovoltaic parallel in system includes: photovoltaic array, MPPT
Controller and combining inverter, it is characterised in that described fault detection system includes:
Computing module, for calculating under current environmental condition, the peak power output of photovoltaic array；
Output power acquisition module, for according to described peak power output, in conjunction with the control efficiency and also of MPPT controller
The efficiency of net inverter, calculates and obtains photovoltaic array theoretical maximum output under current environmental condition；
Tracer, obtains, for detecting, the real output that photovoltaic array is current；
Comparison module, for relatively described theoretical maximum output and real output, exceedes predetermined in difference of them
During threshold value, it is judged that photovoltaic array breaks down.
The fault detection system being applicable to photovoltaic parallel in system the most according to claim 5, it is characterised in that described calculating
Module specifically includes:
Temperature sensor, for obtaining the ambient temperature in current environmental condition；
Standard solar cell, for obtaining the intensity of sunshine in current environmental condition；
Computing unit, for by photovoltaic array region characteristic predictor method, according to current intensity of sunshine and temperature, calculates
Obtain the peak power output of photovoltaic array.
The fault detection system being applicable to photovoltaic parallel in system the most according to claim 5, it is characterised in that described system
Also include that a characteristic curve builds module, under the environmental condition gathering some different intensity of sunshines and ambient temperature, light
The short circuit current of photovoltaic array, open-circuit voltage, maximum power point voltage and four characterisitic parameters of maximum power point electric current；And root
According to described characterisitic parameter, the characteristic curve that reduction photovoltaic array is relevant to environmental condition.
The fault detection system being applicable to photovoltaic parallel in system the most according to claim 5, it is characterised in that described output
Power acquisition module includes:
Efficiency curve collecting unit, for obtaining the efficiency curve of MPPT controller and the efficiency curve of combining inverter；
Efficiency calculation unit, for bent according to the efficiency curve of described MPPT controller and the efficiency of combining inverter respectively
Line, calculates control efficiency and the efficiency of combining inverter of MPPT controller；
Output calculates unit, for by the control efficiency of described peak power output and MPPT controller and combining inverter
Efficiency be multiplied, it is thus achieved that theoretical maximum output.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610375184.9A CN106100578A (en) | 2016-05-30 | 2016-05-30 | A kind of fault detection method being applicable to photovoltaic parallel in system and system thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610375184.9A CN106100578A (en) | 2016-05-30 | 2016-05-30 | A kind of fault detection method being applicable to photovoltaic parallel in system and system thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106100578A true CN106100578A (en) | 2016-11-09 |
Family
ID=57230855
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610375184.9A Pending CN106100578A (en) | 2016-05-30 | 2016-05-30 | A kind of fault detection method being applicable to photovoltaic parallel in system and system thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106100578A (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106656042A (en) * | 2016-12-30 | 2017-05-10 | 安徽晶润新能源有限公司 | Safety detection and service life evaluation method of photovoltaic panel |
| CN107909096A (en) * | 2017-11-08 | 2018-04-13 | 南京因泰莱电器股份有限公司 | A kind of fault of converter early warning criterion implementation method based on two points of K mean clusters |
| CN108323219A (en) * | 2017-03-22 | 2018-07-24 | 胡炎申 | The control method of photovoltaic generating system and MPPT maximum power point tracking MPPT |
| CN109004903A (en) * | 2018-08-14 | 2018-12-14 | 中国计量大学 | Fault detection system and method suitable for photovoltaic array |
| CN109756185A (en) * | 2017-11-03 | 2019-05-14 | 财团法人资讯工业策进会 | Judge solar array whether abnormal computer installation and method |
| CN111049476A (en) * | 2019-12-30 | 2020-04-21 | 杭州光曲智能科技有限公司 | Distributed photovoltaic power station monitoring device and method |
| CN111082749A (en) * | 2020-01-09 | 2020-04-28 | 远景智能国际私人投资有限公司 | Method and device for identifying running state of photovoltaic string and storage medium |
| CN112491360A (en) * | 2020-10-19 | 2021-03-12 | 阳光电源股份有限公司 | Fault diagnosis method and system for photovoltaic string and readable storage medium |
| CN112884360A (en) * | 2021-03-18 | 2021-06-01 | 国家电网有限公司 | Distributed photovoltaic power station comprehensive effect evaluation method, system, equipment and medium |
| CN115996022A (en) * | 2023-02-21 | 2023-04-21 | 华能新疆吉木萨尔新能源有限公司 | Photovoltaic module fault detection method and system |
| CN117060849A (en) * | 2023-07-26 | 2023-11-14 | 重庆望变电气（集团）股份有限公司 | Box-type substation equipment detection method for photovoltaic and related equipment thereof |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103439572A (en) * | 2013-08-15 | 2013-12-11 | 国家电网公司 | Electricity larceny prevention monitoring method based on photovoltaic power generation power prediction |
| CN103544356A (en) * | 2013-10-30 | 2014-01-29 | 中冶南方（武汉）信息技术工程有限公司 | Heat treatment furnace heating model calculation method based on graphic processing unit (GPU) |
| CN104167988A (en) * | 2014-09-09 | 2014-11-26 | 河海大学常州校区 | Method for judging efficiency anomaly alarms of photovoltaic system |
-
2016
- 2016-05-30 CN CN201610375184.9A patent/CN106100578A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103439572A (en) * | 2013-08-15 | 2013-12-11 | 国家电网公司 | Electricity larceny prevention monitoring method based on photovoltaic power generation power prediction |
| CN103544356A (en) * | 2013-10-30 | 2014-01-29 | 中冶南方（武汉）信息技术工程有限公司 | Heat treatment furnace heating model calculation method based on graphic processing unit (GPU) |
| CN104167988A (en) * | 2014-09-09 | 2014-11-26 | 河海大学常州校区 | Method for judging efficiency anomaly alarms of photovoltaic system |
Non-Patent Citations (2)
| Title |
|---|
| 何英蕾 等.: "光伏阵列区域特性曲线拟合与预估算法研究", 《电测与仪表》 * |
| 姜楠 等.: "并网光伏逆变器转换效率的仿真与实验研究", 《太阳能》 * |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106656042A (en) * | 2016-12-30 | 2017-05-10 | 安徽晶润新能源有限公司 | Safety detection and service life evaluation method of photovoltaic panel |
| CN106656042B (en) * | 2016-12-30 | 2018-11-06 | 安徽晶润新能源有限公司 | A kind of photovoltaic panel safety detection and lifetime estimation method |
| CN108323219A (en) * | 2017-03-22 | 2018-07-24 | 胡炎申 | The control method of photovoltaic generating system and MPPT maximum power point tracking MPPT |
| CN109756185A (en) * | 2017-11-03 | 2019-05-14 | 财团法人资讯工业策进会 | Judge solar array whether abnormal computer installation and method |
| CN107909096A (en) * | 2017-11-08 | 2018-04-13 | 南京因泰莱电器股份有限公司 | A kind of fault of converter early warning criterion implementation method based on two points of K mean clusters |
| CN109004903A (en) * | 2018-08-14 | 2018-12-14 | 中国计量大学 | Fault detection system and method suitable for photovoltaic array |
| CN111049476A (en) * | 2019-12-30 | 2020-04-21 | 杭州光曲智能科技有限公司 | Distributed photovoltaic power station monitoring device and method |
| CN111082749B (en) * | 2020-01-09 | 2023-08-04 | 远景智能国际私人投资有限公司 | Photovoltaic string running state identification method, device and storage medium |
| CN111082749A (en) * | 2020-01-09 | 2020-04-28 | 远景智能国际私人投资有限公司 | Method and device for identifying running state of photovoltaic string and storage medium |
| CN112491360A (en) * | 2020-10-19 | 2021-03-12 | 阳光电源股份有限公司 | Fault diagnosis method and system for photovoltaic string and readable storage medium |
| CN112491360B (en) * | 2020-10-19 | 2022-04-08 | 阳光电源股份有限公司 | Fault diagnosis method and system for photovoltaic string and readable storage medium |
| CN112884360A (en) * | 2021-03-18 | 2021-06-01 | 国家电网有限公司 | Distributed photovoltaic power station comprehensive effect evaluation method, system, equipment and medium |
| CN115996022A (en) * | 2023-02-21 | 2023-04-21 | 华能新疆吉木萨尔新能源有限公司 | Photovoltaic module fault detection method and system |
| CN115996022B (en) * | 2023-02-21 | 2024-01-23 | 华能新疆吉木萨尔新能源有限公司 | Photovoltaic module fault detection method and system |
| CN117060849A (en) * | 2023-07-26 | 2023-11-14 | 重庆望变电气（集团）股份有限公司 | Box-type substation equipment detection method for photovoltaic and related equipment thereof |
| CN117060849B (en) * | 2023-07-26 | 2024-06-11 | 重庆望变电气（集团）股份有限公司 | Box-type substation equipment detection method for photovoltaic and related equipment thereof |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106100578A (en) | A kind of fault detection method being applicable to photovoltaic parallel in system and system thereof | |
| Gokmen et al. | Simple diagnostic approach for determining of faulted PV modules in string based PV arrays | |
| Wang et al. | Comparison of different simplistic prediction models for forecasting PV power output: assessment with experimental measurements | |
| CN105375878B (en) | A kind of method of on-line checking and assessment photovoltaic system efficiency | |
| Ventura et al. | Utility scale photovoltaic plant indices and models for on-line monitoring and fault detection purposes | |
| Chouder et al. | Automatic supervision and fault detection of PV systems based on power losses analysis | |
| Silvestre et al. | Automatic fault detection in grid connected PV systems | |
| Hasselbrink et al. | Validation of the PVLife model using 3 million module-years of live site data | |
| Li et al. | A fault diagnosis method for photovoltaic arrays based on fault parameters identification | |
| Madeti et al. | Online modular level fault detection algorithm for grid-tied and off-grid PV systems | |
| CN112163018A (en) | Method, device and system for determining life cycle of photovoltaic module | |
| CN102566435A (en) | Performance prediction and fault alarm method for photovoltaic power station | |
| JP6093465B1 (en) | Power generation diagnosis method and power generation diagnosis apparatus for solar power generation system | |
| CN104391189A (en) | Three-stage-diagnosis-based large-scale photovoltaic array fault diagnosis and positioning method | |
| CN205792451U (en) | A kind of failure detector of photovoltaic parallel in system | |
| Sarikh et al. | Characteristic curve diagnosis based on fuzzy classification for a reliable photovoltaic fault monitoring | |
| CN113037214B (en) | Photovoltaic module shadow shielding fault diagnosis method based on S-V curve | |
| CN111460644A (en) | Photovoltaic array monitoring system with fault diagnosis and power prediction functions | |
| Livera et al. | Failure diagnosis of short-and open-circuit fault conditions in PV systems | |
| WO2023033002A1 (en) | Failure diagnosis method for solar cell module, and program | |
| Bressan et al. | A new method for fault detection and identification of shadows based on electrical signature of defects | |
| CN103399219B (en) | Photo-voltaic power generation station performance method of real-time | |
| Gao et al. | Out-door reliability and degradation of HIT, CIGS, n-type multi-busbar, PERC, and CdTe modules in Shanghai, China | |
| Garro et al. | Reliability analysis of residential photovoltaic systems | |
| Harrou et al. | Online model-based fault detection for grid connected PV systems monitoring |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20161109 |
|
| RJ01 | Rejection of invention patent application after publication |