CN105337575B - Photovoltaic plant status predication and method for diagnosing faults and system - Google Patents
Photovoltaic plant status predication and method for diagnosing faults and system Download PDFInfo
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- CN105337575B CN105337575B CN201510795939.6A CN201510795939A CN105337575B CN 105337575 B CN105337575 B CN 105337575B CN 201510795939 A CN201510795939 A CN 201510795939A CN 105337575 B CN105337575 B CN 105337575B
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- 238000012423 maintenance Methods 0.000 claims description 7
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- 230000005611 electricity Effects 0.000 description 7
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- 238000010248 power generation Methods 0.000 description 3
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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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- 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 present invention relates to a kind of photovoltaic plant status predication and method for diagnosing faults, wherein, method comprises the following steps：Gather the maximum power point electric current and current weather data of photovoltaic group string；The theoretical generating voltage of photovoltaic group string and theoretical generation current are calculated according to the parameter of dispatching from the factory of the current weather data and photovoltaic group string；The real-time generating efficiency of photovoltaic group string is calculated according to the theoretical generation current and the real-time generation current of photovoltaic group string, and the generating efficiency rate of change of photovoltaic group string is calculated according to the generating efficiency in real time；Status predication and fault diagnosis are carried out to photovoltaic group string according to the generating efficiency rate of change and preset data model.Described method and system improves the efficiency of photovoltaic plant status predication and fault diagnosis, and need not increase additional investment, and cost is low.
Description
Technical field
The present invention relates to technical field of photovoltaic power generation, more particularly to a kind of photovoltaic plant status predication and fault diagnosis side
Method and system.
Background technology
Photovoltaic generation is a kind of important generation mode.The nucleus equipment of photo-voltaic power generation station is photovoltaic module, big absolutely at present
Most photo-voltaic power generation stations use polycrystal silicon cell component.The annual aging characteristic of polysilicon photovoltaic module is the first annual aging characteristic 3%, the
It is 0.7% to start within 2 years annual aging characteristic, and service life is 25 years.In general, the theoretical year rate of return on investment of photovoltaic plant
About 8%~12%, the photovoltaic plant owner wants to withdraw all investments, and power station needs failure-free operation 8~13 years or so.So
And because photovoltaic generating system number of devices is huge, the reason such as photovoltaic generating system distribution remote geographic location, current photovoltaic
Power station traffic-operating period is simultaneously pessimistic.To ensure the reliability service of photovoltaic plant, it is necessary to carry out data acquisition and prison to photovoltaic module
Control, to carry out fault diagnosis and state estimation to photovoltaic module.
The fault diagnosis of photovoltaic generating system and state estimation are primarily present problems with present：
(1) fault diagnosis and state estimation of photovoltaic module are realized, needs to be monitored each component in theory, but
In view of construction cost, the especially medium-and-large-sized photovoltaic plant of current photovoltaic plant is only monitored to photovoltaic group string, monitoring
Dynamics is inadequate, therefore causes effectively to be diagnosed and state estimation；
(2) monitoring data amount is big, and only data are stored for monitoring system and real-time exhibition, fails to carry out rationally data
Effectively processing, it can not realize and state estimation and fault diagnosis are carried out to photovoltaic plant；
(3) system administration lacks digitlization means.Monitoring information simply collection and presentation, mass data form passes through
Excel is handled by hand, and aggregation of data analysis ability is poor, and generating performance analysis and improvement lack quantization means, can not realize polyphyly
System unified management；
(4) it is equal the methods of outer image analytical method, FUSION WITH MULTISENSOR DETECTION method, direct-to-ground capacitance mensuration and Time Domain Reflectometry analytic approach
Need to increase additional investment, realizability is not strong.
Therefore, the fault diagnosis of photovoltaic generating system and state estimation efficiency is low, cost is high at present.
The content of the invention
Based on this, it is necessary to which fault diagnosis and state estimation efficiency for current photovoltaic generating system are low, cost is high
Problem, there is provided a kind of photovoltaic plant status predication and method for diagnosing faults and system.
A kind of photovoltaic plant status predication and method for diagnosing faults, comprise the following steps：
Gather the maximum power point electric current and current weather data of photovoltaic group string；
According to the parameter of dispatching from the factory of the current weather data and photovoltaic group string calculate photovoltaic group string theoretical generating voltage and
Theoretical generation current；
The real-time generating that photovoltaic group string is calculated according to the theoretical generation current and the real-time generation current of photovoltaic group string is imitated
Rate, and according to the generating efficiency rate of change of the calculating photovoltaic group string of generating efficiency in real time；
Status predication and fault diagnosis are carried out to photovoltaic group string according to the generating efficiency rate of change and preset data model.
A kind of photovoltaic plant status predication and fault diagnosis system, including：
Harvester, for gathering the maximum power point electric current and current weather data of photovoltaic group string；
First computing device, for calculating photovoltaic group string according to the parameter of dispatching from the factory of the current weather data and photovoltaic group string
Theoretical generating voltage and theoretical generation current；
Second computing device, for calculating photovoltaic according to the real-time generation current of the theoretical generation current and photovoltaic group string
The real-time generating efficiency of group string, and according to the generating efficiency rate of change of the calculating photovoltaic group string of generating efficiency in real time；
Predictive diagnosis device, for carrying out shape to photovoltaic group string according to the generating efficiency rate of change and preset data model
State is predicted and fault diagnosis.
The photovoltaic plant status predication and method for diagnosing faults and system, by the maximum power point for gathering photovoltaic group string
Electric current and current weather data, the theory of photovoltaic group string is calculated according to the parameter of dispatching from the factory of the current weather data and photovoltaic group string
Generating voltage and theoretical generation current, photovoltaic group is calculated according to the theoretical generation current and the real-time generation current of photovoltaic group string
The real-time generating efficiency of string, and according to the generating efficiency rate of change of the calculating photovoltaic group string of generating efficiency in real time, according to described
Generating efficiency rate of change carries out status predication and fault diagnosis with preset data model to photovoltaic group string, improves photovoltaic plant shape
State is predicted and the efficiency of fault diagnosis, and need not increase additional investment, and cost is low.
Brief description of the drawings
Fig. 1 is the photovoltaic plant status predication and method for diagnosing faults flow chart of one embodiment；
Fig. 2 is the method flow diagram that fault diagnosis is carried out using experts database and diagnostic model of one embodiment；
Fig. 3 is the method flow diagram of the generated power forecasting of one embodiment；
Fig. 4 is the method flow diagram of the maintenance key point of one embodiment；
Fig. 5 is the photovoltaic plant status predication of one embodiment and the structural representation of fault diagnosis system.
Embodiment
Technical scheme is further elaborated below in conjunction with the accompanying drawings.
Fig. 1 is the photovoltaic plant status predication and method for diagnosing faults flow chart of one embodiment.As shown in figure 1, this hair
Bright photovoltaic plant status predication and method for diagnosing faults may include following steps：
S1, gather the maximum power point electric current and current weather data of photovoltaic group string；
S2, the theoretical generating voltage of photovoltaic group string is calculated according to the parameter of dispatching from the factory of the current weather data and photovoltaic group string
With theoretical generation current；
S3, the real-time generating of photovoltaic group string is calculated according to the theoretical generation current and the real-time generation current of photovoltaic group string
Efficiency, and according to the generating efficiency rate of change of the calculating photovoltaic group string of generating efficiency in real time；
S4, status predication is carried out to photovoltaic group string with preset data model according to the generating efficiency rate of change and failure is examined
It is disconnected.
In one embodiment, the maximum power point electric current and current weather data of photovoltaic group string can be gathered first.It is described
Current weather data may include surface temperature, wind speed and solar radiation degree.Current weather number can be gathered by environment monitor
According to.
After collecting related data, photovoltaic group can be calculated according to the parameter of dispatching from the factory of the current weather data and photovoltaic group string
The theoretical generating voltage of string and theoretical generation current.Before calculating, pretreatment operation can be carried out to the data collected, for example,
The data collected can be carried out with digital filtering processing, validity check, the conversion of engineering value, signal contact jitter elimination and scale
Calculate.The average value of pretreated photovoltaic group string characteristic value and current weather data can be calculated with the default time cycle,
And standby that the average value is saved in into background data base.The theoretical generation current of photovoltaic group string can be calculated according to equation below：
I=Im*(S/Sref)*(1+a*(T-Tref))
In formula, I be photovoltaic group string theoretical generation current, ImFor the maximum power point electric current of photovoltaic group string, S is daylight spoke
Illumination, SrefFor specified solar radiation degree, T is surface temperature, TrefFor specified surface temperature, a is constant.In one embodiment
In, a=0.0025/ DEG C.
Then, the real-time of photovoltaic group string can be calculated according to the theoretical generation current and the real-time generation current of photovoltaic group string
Generating efficiency, and according to the generating efficiency rate of change of the calculating photovoltaic group string of generating efficiency in real time.It can be generated electricity in real time to described
Efficiency carries out the generating efficiency rate of change that differential is converted to photovoltaic group string.In one embodiment, the theoretical hair can be calculated
The difference and generating efficiency of electric current and real-time generation current, and obtain the generating efficiency change of generating efficiency in predetermined period
Rate.
Finally, status predication and event can be carried out to photovoltaic group string according to the generating efficiency rate of change and preset data model
Barrier diagnosis.In one embodiment, rate of change threshold value can be set.When rate of change is more than the first thresholding, can determine that as photovoltaic
There is open circuit fault in group string；When rate of change is less than the first thresholding and when being more than the second thresholding, can determine that for photovoltaic group string appearance it is short
Road failure；When rate of change is less than the second thresholding and is more than three thresholdings, it can determine that hot spot failure occur for photovoltaic group string；Work as change
When rate is less than three thresholdings, it can determine that for photovoltaic group string be normal condition.
As shown in Fig. 2 experts database and diagnostic model can be used, status predication and fault diagnosis are carried out to photovoltaic module, together
When can realize generating prediction and maintenance policy optimization.The experts database may include knowledge base and interpreter, wherein, the knowledge
Storehouse is used to accessing and managing acquired Heuristics, professional knowledge and inferenctial knowledge, and the interpreter is used in knowledge base
Knowledge explain, and obtain the failure symptom table of comparisons.The characteristic value of photovoltaic group string and going through for system and equipment can be monitored
History status data, and contrasted with current weather data and the data in the failure symptom table, draw diagnosis.
As shown in figure 3, generated output can be also predicted.As described above, the maximum power point of photovoltaic group string can be gathered
Electric current and meteorological data, and calculate generating efficiency.Then, generating efficiency model can be established according to the generating efficiency.Can also root
Radiation patterns are established according to history meteorological data, and energy predicting is carried out using the radiation patterns.Finally, can be according to the efficiency mould
Type carries out Efficiency correction to the energy predicted, obtains pre- power scale.
As shown in figure 4, can also be system customization maintenance key point strategy.Can be to the historical performance and current performance of photovoltaic group string
Monitored on-line, the variation characteristic of photovoltaic group string parameter is drawn according to historical performance, and light is established according to the variation characteristic
The life model of volt group string, and the remaining longevity of photovoltaic group string is predicted according to the current performance of photovoltaic group string and the life model
Life.The limiting performance of photovoltaic group string is substituted into the residual life, you can draw the generated output of photovoltaic group string.Can be according to described
The corresponding maintenance policy of maintenance cost formulation of generated output and photovoltaic group string.
The photovoltaic plant status predication and method for diagnosing faults, by gather photovoltaic group string maximum power point electric current and
Current weather data, the theoretical electricity that generates electricity of photovoltaic group string is calculated according to the parameter of dispatching from the factory of the current weather data and photovoltaic group string
Pressure and theoretical generation current, the reality of photovoltaic group string is calculated according to the theoretical generation current and the real-time generation current of photovoltaic group string
When generating efficiency, and according to it is described in real time generating efficiency calculate photovoltaic group string generating efficiency rate of change, according to it is described generate electricity imitate
Rate rate of change carries out status predication and fault diagnosis with preset data model to photovoltaic group string, improves photovoltaic plant status predication
And the efficiency of fault diagnosis, and additional investment need not be increased, cost is low.
The embodiment of the photovoltaic plant status predication to the present invention and fault diagnosis system is done further below in conjunction with the accompanying drawings
Description.
Fig. 5 is the photovoltaic plant status predication of one embodiment and the structural representation of fault diagnosis system.Such as Fig. 5 institutes
Show, photovoltaic plant status predication of the invention and fault diagnosis system may include：
Harvester 10, for gathering the maximum power point electric current and current weather data of photovoltaic group string；
First computing device 20, for calculating photovoltaic group according to the parameter of dispatching from the factory of the current weather data and photovoltaic group string
The theoretical generating voltage of string and theoretical generation current；
Second computing device 30, for calculating light according to the real-time generation current of the theoretical generation current and photovoltaic group string
The real-time generating efficiency of volt group string, and according to the generating efficiency rate of change of the calculating photovoltaic group string of generating efficiency in real time；
Predictive diagnosis device 40, for being carried out according to the generating efficiency rate of change and preset data model to photovoltaic group string
Status predication and fault diagnosis.
The photovoltaic plant status predication and fault diagnosis system, by gather photovoltaic group string maximum power point electric current and
Current weather data, the theoretical electricity that generates electricity of photovoltaic group string is calculated according to the parameter of dispatching from the factory of the current weather data and photovoltaic group string
Pressure and theoretical generation current, the reality of photovoltaic group string is calculated according to the theoretical generation current and the real-time generation current of photovoltaic group string
When generating efficiency, and according to it is described in real time generating efficiency calculate photovoltaic group string generating efficiency rate of change, according to it is described generate electricity imitate
Rate rate of change carries out status predication and fault diagnosis with preset data model to photovoltaic group string, improves photovoltaic plant status predication
And the efficiency of fault diagnosis, and additional investment need not be increased, cost is low.
Photovoltaic plant status predication and event of the photovoltaic plant status predication and fault diagnosis system of the present invention with the present invention
Hinder diagnostic method to correspond, in the technical characteristic that the embodiment of above-mentioned photovoltaic plant status predication and method for diagnosing faults illustrates
And its advantage is suitable for the embodiment of photovoltaic plant status predication and fault diagnosis system, hereby give notice that.
Each technical characteristic of embodiment described above can be combined arbitrarily, to make description succinct, not to above-mentioned reality
Apply all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited
In contradiction, the scope that this specification is recorded all is considered to be.
Embodiment described above only expresses the several embodiments of the present invention, and its description is more specific and detailed, but simultaneously
Can not therefore it be construed as limiting the scope of the patent.It should be pointed out that come for one of ordinary skill in the art
Say, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to the protection of the present invention
Scope.Therefore, the protection domain of patent of the present invention should be determined by the appended claims.
Claims (9)
1. a kind of photovoltaic plant status predication and method for diagnosing faults, it is characterised in that comprise the following steps：
Gather the maximum power point electric current and current weather data of photovoltaic group string；
The theoretical generating voltage and theory of photovoltaic group string are calculated according to the parameter of dispatching from the factory of the current weather data and photovoltaic group string
Generation current；
The real-time generating efficiency of photovoltaic group string is calculated according to the theoretical generation current and the real-time generation current of photovoltaic group string, and
The generating efficiency rate of change of photovoltaic group string is calculated according to the generating efficiency in real time；
Status predication and fault diagnosis are carried out to photovoltaic group string according to the generating efficiency rate of change and preset data model；
The theoretical generation current of photovoltaic group string is calculated according to equation below：
I=Im*(S/Sref)*(1+a*(T-Tref))
In formula, I be photovoltaic group string theoretical generation current, ImFor the maximum power point electric current of photovoltaic group string, S is solar radiation degree,
SrefFor specified solar radiation degree, T is surface temperature, TrefFor specified surface temperature, a is constant.
2. photovoltaic plant status predication according to claim 1 and method for diagnosing faults, it is characterised in that the current gas
Image data includes surface temperature, wind speed and solar radiation degree.
3. photovoltaic plant status predication according to claim 1 and method for diagnosing faults, it is characterised in that in collection photovoltaic
After the step of group string characteristic value and current weather data, in addition to：
Pretreatment operation is performed to photovoltaic group string characteristic value and current weather data, the pretreatment operation is included at digital filtering
Reason, validity check, the conversion of engineering value, signal contact jitter elimination and scale calculate.
4. photovoltaic plant status predication according to claim 3 and method for diagnosing faults, it is characterised in that at the pre- place
It is further comprising the steps of after reason operation：
The average value of pretreated photovoltaic group string characteristic value and current weather data is calculated with the default time cycle；
The average value is saved in background data base.
5. photovoltaic plant status predication according to claim 1 and method for diagnosing faults, it is characterised in that according to the reason
The real-time generating efficiency of photovoltaic group string is calculated by generation current and the real-time generation current of photovoltaic group string, and according to the hair in real time
The step of generating efficiency rate of change of electrical efficiency calculating photovoltaic group string, includes：
Calculate the difference and generating efficiency of the theoretical generation current and real-time generation current；
Obtain the generating efficiency rate of change of generating efficiency in predetermined period.
6. photovoltaic plant status predication according to claim 1 and method for diagnosing faults, it is characterised in that according to the hair
The step of electrical efficiency rate of change carries out status predication and fault diagnosis with preset data model to photovoltaic group string includes：
When rate of change is more than the first thresholding, it is determined as that open circuit fault occurs in photovoltaic group string；
When rate of change is less than the first thresholding and is more than the second thresholding, it is determined as that short trouble occurs in photovoltaic group string；
When rate of change is less than the second thresholding and is more than three thresholdings, it is determined as that hot spot failure occurs in photovoltaic group string；
When rate of change is less than three thresholdings, it is normal condition to be determined as photovoltaic group string.
7. photovoltaic plant status predication according to claim 1 and method for diagnosing faults, it is characterised in that also including following
Step：
Monitor history meteorological data on-line, radiation patterns are established according to the history meteorological data, and use the radiation patterns
The generated output of photovoltaic group string is predicted；
Generating efficiency model is established according to the generating efficiency；
The generated output is modified according to the generating efficiency model.
8. photovoltaic plant status predication according to claim 1 and method for diagnosing faults, it is characterised in that also including following
Step：
Monitor the current performance parameters and historical performance parameter of photovoltaic group string on-line；
According to the Parameters variation characteristic of the historical performance parameter acquiring photovoltaic group string；
The life model of photovoltaic group string is established according to the Parameters variation characteristic and current performance parameters；
The residual life of photovoltaic group string is predicted according to the life model；
The limiting performance parameter of photovoltaic group string is substituted into the residual life, calculates the generated output of photovoltaic group string；
Maintenance policy is formulated according to the maintenance cost of the generated output and photovoltaic group string.
9. a kind of photovoltaic plant status predication and fault diagnosis system, it is characterised in that including：
Harvester, for gathering the maximum power point electric current and current weather data of photovoltaic group string；
First computing device, for calculating the reason of photovoltaic group string according to the parameter of dispatching from the factory of the current weather data and photovoltaic group string
By generating voltage and theoretical generation current；
Second computing device, for calculating photovoltaic group string according to the real-time generation current of the theoretical generation current and photovoltaic group string
Real-time generating efficiency, and according to it is described in real time generating efficiency calculate photovoltaic group string generating efficiency rate of change；
Predictive diagnosis device, it is pre- for carrying out state to photovoltaic group string with preset data model according to the generating efficiency rate of change
Survey and fault diagnosis；
Second computing device calculates the theoretical generation current of photovoltaic group string according to equation below：
I=Im*(S/Sref)*(1+a*(T-Tref))
In formula, I be photovoltaic group string theoretical generation current, ImFor the maximum power point electric current of photovoltaic group string, S is solar radiation degree,
SrefFor specified solar radiation degree, T is surface temperature, TrefFor specified surface temperature, a is constant.
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| CN106059496B (en) * | 2016-05-18 | 2018-03-16 | 华北电力大学 | A kind of photovoltaic module array performance monitoring and the method and system of Fault Identification |
| CN106100580A (en) * | 2016-08-05 | 2016-11-09 | 江阴海润太阳能电力有限公司 | A kind of method that photovoltaic plant equipment fault monitors in real time |
| CN106705368B (en) * | 2016-12-30 | 2019-07-30 | 美的集团股份有限公司 | Prejudge the method, apparatus and household electrical appliance of household electrical appliance failure |
| 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 |
| CN107065829A (en) * | 2017-04-13 | 2017-08-18 | 西安西热电站信息技术有限公司 | A kind of photovoltaic module pollution diagnosis method supervised based on solar power generation under big data is excavated |
| CN108418547B (en) * | 2018-05-07 | 2024-03-08 | 东君新能源有限公司 | Solar outdoor power generation test system |
| CN109298228A (en) * | 2018-09-13 | 2019-02-01 | 安徽天尚清洁能源科技有限公司 | A kind of Intelligence Diagnosis method and system based on photovoltaic group string current anomaly |
| CN109271736B (en) * | 2018-10-12 | 2023-02-03 | 阳光电源股份有限公司 | Fault type determination method and device for photovoltaic module |
| CN109743018A (en) * | 2018-11-21 | 2019-05-10 | 中国葛洲坝集团电力有限责任公司 | Photovoltaic power station grading forewarning system method based on big data statistics |
| CN112682972A (en) * | 2020-12-16 | 2021-04-20 | 苏州西热节能环保技术有限公司 | Quick performance diagnosis device for concentrating solar power station |
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| CN102566435B (en) * | 2012-02-17 | 2013-10-02 | 冶金自动化研究设计院 | Performance prediction and fault alarm method for photovoltaic power station |
| CN103678872B (en) * | 2013-09-27 | 2016-08-31 | 国家电网公司 | A kind of photovoltaic power generation system performance evaluation method and device |
| CN104571099B (en) * | 2015-01-26 | 2017-05-24 | 北京国能日新系统控制技术有限公司 | Photovoltaic fault diagnosis system and method based on theoretical calculation and data analysis |
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