CN112163018A - Method, device and system for determining life cycle of photovoltaic module - Google Patents
Method, device and system for determining life cycle of photovoltaic module Download PDFInfo
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Abstract
本发明公开了一种确定光伏组件的生命周期的方法、装置及系统。其中，该方法包括：获取光伏组件的历史运行数据；监测上述光伏组件的当前环境数据和当前运行数据；依据上述当前环境数据、上述历史运行数据和上述当前运行数据，确定上述光伏组件的可使用生命周期。本发明解决了现有技术中仅凭经验设定光伏组件的使用寿命，无法动态评估光伏组件的可使用生命周期的技术问题。
The invention discloses a method, a device and a system for determining the life cycle of a photovoltaic module. Wherein, the method includes: acquiring historical operating data of photovoltaic modules; monitoring current environmental data and current operating data of the photovoltaic modules; The life cycle. The invention solves the technical problem in the prior art that the service life of the photovoltaic components is only set based on experience, and the usable life cycle of the photovoltaic components cannot be dynamically evaluated.
Description
Technical Field
The invention relates to the technical field of photovoltaics, in particular to a method, a device and a system for determining a life cycle of a photovoltaic module.
Background
The demand of optimizing the energy structure in China is urgent, the trend of vigorously developing clean energy such as solar energy, wind energy, geothermal energy and the like is inevitable, the photovoltaic module is used as core equipment of solar power generation, and the quality problem and the attenuation characteristic of the photovoltaic module directly influence the total power generation amount of a photovoltaic power station.
In the traditional design, the service life of a photovoltaic module is set to 25 years only by experience, the quality level and the attenuation stage of the photovoltaic module cannot be dynamically evaluated, and on the one hand, the problem that the photovoltaic module partially working in a high-altitude environment fails and cannot be used when the service life of the photovoltaic module is less than 25 years is caused; on the other hand, the photovoltaic module which is partially in service for 25 years and has good performance is replaced in advance, so that the economic cost is increased.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides a method, a device and a system for determining a life cycle of a photovoltaic module, which are used for at least solving the technical problem that the service life of the photovoltaic module is set only by experience and the usable life cycle of the photovoltaic module cannot be dynamically evaluated in the prior art.
According to an aspect of an embodiment of the present invention, there is provided a method of determining a life cycle of a photovoltaic module, including: acquiring historical operating data of the photovoltaic module; monitoring current environmental data and current operating data of the photovoltaic module; and determining the usable life cycle of the photovoltaic module according to the current environment data, the historical operation data and the current operation data.
Optionally, before determining the usable life cycle of the photovoltaic module according to the current environmental data, the historical operating data, and the current operating data, the method further includes: determining a life cycle attenuation index of the photovoltaic module; acquiring sample environment data, sample historical operating data and sample current operating data; and establishing a photovoltaic module attenuation model according to the sample environment data, the sample historical operating data and the sample current operating data based on the life cycle attenuation index.
Optionally, determining a usable life cycle of the photovoltaic module according to the current environmental data, the historical operating data, and the current operating data includes: determining the corresponding sample environment data, the sample historical operating data and the sample current operating data in the photovoltaic module attenuation model according to the current environment data, the historical operating data and the current operating data; analyzing the current environmental data based on the sample environmental data to obtain a first analysis result, analyzing the historical operating data according to the sample historical operating data to obtain a second analysis result, and analyzing the current operating data according to the sample current operating data to obtain a third analysis result; and acquiring the usable life cycle in at least one analysis result of the first analysis result, the second analysis result and the third analysis result.
Optionally, the life cycle decay index includes at least one of: the method comprises the following steps of providing a photovoltaic module glass scratch index, a light transmittance index, a backboard mechanical property index, a cell subfissure index, a hot spot effect and process control PID (proportion integration differentiation) effect index, a random attenuation index, a backboard and sealing ethylene-vinyl acetate copolymer EVA (ethylene-vinyl acetate) adhesive film chemical deterioration index and a photovoltaic module cleaning index.
Optionally, obtaining historical operating data of the photovoltaic module includes: acquiring historical output current and historical output power of the photovoltaic module; monitoring current environmental data of a photovoltaic module, comprising: control photovoltaic module scanning and detecting system based on unmanned aerial vehicle, gather and obtain above-mentioned current environmental data, wherein, above-mentioned current environmental data includes following at least one: light irradiance, ambient temperature, humidity, positive plate temperature, wind power; monitoring current operating data of the photovoltaic module, including: and controlling a photovoltaic module scanning and detecting system based on the unmanned aerial vehicle, and monitoring the current output current and the current output power of the photovoltaic module.
Optionally, the photovoltaic module is arranged in a high-altitude desert region.
According to another aspect of the embodiments of the present invention, there is also provided a system for determining a life cycle of a photovoltaic module, including: the monitor is used for monitoring the current environmental data and the current operating data of the photovoltaic module; and the processor is connected with the monitor and used for acquiring historical operating data of the photovoltaic module and determining the usable life cycle of the photovoltaic module according to the current environmental data, the historical operating data and the current operating data.
Optionally, the processor is further configured to determine a life cycle decay index of the photovoltaic module; acquiring sample environment data, sample historical operating data and sample current operating data; and establishing a photovoltaic module attenuation model according to the sample environment data, the sample historical operating data and the sample current operating data based on the life cycle attenuation index.
Optionally, the processor is further configured to determine, according to the current environmental data, the historical operating data, and the current operating data, the sample environmental data, the historical operating data, and the current operating data corresponding to the attenuation model of the photovoltaic module; analyzing the current environmental data based on the sample environmental data to obtain a first analysis result, analyzing the historical operating data according to the sample historical operating data to obtain a second analysis result, and analyzing the current operating data according to the sample current operating data to obtain a third analysis result; and acquiring the usable life cycle in at least one analysis result of the first analysis result, the second analysis result and the third analysis result.
Optionally, the system further includes: the photovoltaic module scanning and detecting system is used for acquiring the current environment data and the current operation data, wherein the current environment data comprises at least one of the following data: light irradiance, ambient temperature, humidity, positive plate temperature, wind power, the above current operational data including: the present output current and the present output power.
Optionally, the photovoltaic module is arranged in a high-altitude desert region.
According to another aspect of the embodiments of the present invention, there is also provided an apparatus for determining a life cycle of a photovoltaic module, including: the acquisition module is used for acquiring historical operating data of the photovoltaic module; the monitoring module is used for monitoring the current environmental data and the current operation data of the photovoltaic module; and the determining module is used for determining the usable life cycle of the photovoltaic module according to the current environment data, the historical operating data and the current operating data.
According to another aspect of the embodiments of the present invention, there is also provided a non-volatile storage medium storing a plurality of instructions, the instructions being adapted to be loaded by a processor and to perform any one of the methods of determining a lifecycle of a photovoltaic component.
According to another aspect of the embodiments of the present invention, there is also provided a processor for executing a program, wherein the program is configured to execute the method for determining the life cycle of a photovoltaic module as described in any one of the above.
According to another aspect of the embodiments of the present invention, there is also provided an electronic device, including a memory and a processor, where the memory stores a computer program, and the processor is configured to execute the computer program to perform any of the above methods for determining a life cycle of a photovoltaic module.
In the embodiment of the invention, historical operating data of the photovoltaic module is obtained; monitoring current environmental data and current operating data of the photovoltaic module; the usable life cycle of the photovoltaic module is determined according to the current environmental data, the historical operating data and the current operating data, and the purpose of dynamically evaluating the usable life cycle of the photovoltaic module is achieved, so that the technical effect of avoiding setting the service life of the photovoltaic module only by experience is achieved, and the technical problem that the usable life cycle of the photovoltaic module cannot be dynamically evaluated because the service life of the photovoltaic module is set only by experience in the prior art is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow chart of a method of determining a lifecycle of a photovoltaic assembly according to an embodiment of the invention;
FIG. 2 is a schematic block diagram of a system for determining a lifecycle of a photovoltaic module according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an apparatus for determining a life cycle of a photovoltaic module according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
In accordance with an embodiment of the present invention, there is provided an embodiment of a method of determining a lifecycle of a photovoltaic module, it being noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system, such as a set of computer-executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.
Fig. 1 is a flow chart of a method of determining a lifecycle of a photovoltaic assembly according to an embodiment of the invention, as shown in fig. 1, the method comprising the steps of:
step S102, obtaining historical operating data of the photovoltaic module;
step S104, monitoring the current environmental data and the current operation data of the photovoltaic module;
and step S106, determining the usable life cycle of the photovoltaic module according to the current environment data, the historical operation data and the current operation data.
In the embodiment of the invention, historical operating data of the photovoltaic module is obtained; monitoring current environmental data and current operating data of the photovoltaic module; the usable life cycle of the photovoltaic module is determined according to the current environmental data, the historical operating data and the current operating data, and the purpose of dynamically evaluating the usable life cycle of the photovoltaic module is achieved, so that the technical effect of avoiding setting the service life of the photovoltaic module only by experience is achieved, and the technical problem that the usable life cycle of the photovoltaic module cannot be dynamically evaluated because the service life of the photovoltaic module is set only by experience in the prior art is solved.
Optionally, the photovoltaic module is arranged in a high-altitude desert region.
In the embodiment of the application, the method for determining the life cycle of the photovoltaic module can be operated through a new energy big data platform, the new energy big data platform is used for providing open IaaS infrastructure service, PaaS platform service and DaaS data service, more than 100 general algorithms and models are arranged in the server 223, the access capacity exceeds 1000 ten thousand measuring points/second, the PB-level data storage capacity and high throughput data concurrency capacity are achieved, and the operation management and control requirements of more than 200GW and 600 new energy power stations are met.
Optionally, the new energy big data platform is used for realizing health online monitoring and intelligent diagnosis of the photovoltaic module, real-time acquisition of multi-source heterogeneous data at the source side, the network side and the load side, and acquisition of minimum granularity data at the fan component level and the photovoltaic plate level, wherein the acquisition frequency is 5-7 seconds/time, the accumulated access data exceeds 55 hundred million, the newly added data amount per day exceeds 60GB, and the new energy big data platform efficiently supports construction and use of various industries.
In the embodiment of the application, the health online monitoring and intelligent diagnosis of the photovoltaic module are realized based on an intelligent photovoltaic power station fault detection and life prediction technology, and the usable life cycle of the photovoltaic module is determined, wherein the photovoltaic system fault diagnosis method is the basis for realizing the health online monitoring and intelligent diagnosis of the photovoltaic module, and on the basis, the comprehensive monitoring of environment (input) and power (output) of the solar cell panel is completed through a new energy big data platform of a photovoltaic array with multi-sensor fusion of mechanical, electrical and image sensors and the like, and a good data basis is established for information mining in the later period.
As an optional embodiment, in the embodiment of the present application, in addition to real-time monitoring of the battery panel fault by using data such as output voltage and power, fault detection may also be performed by using data such as surface defects and whether the battery panel is dirty. The unmanned aerial vehicle is controlled to shoot the battery panel image, and then a correlation method based on machine vision is utilized to establish a surface crack and hot spot diagnosis model based on image recognition, so that the data of the surface defects and the dirt degree of the battery panel are obtained, and the real-time online fault diagnosis capability is realized.
In addition, in the embodiment of the application, the new energy big data platform applies data processing technologies such as logistic regression, naive Bayes and decision trees, and aims at the characteristics that data which can be monitored in a photovoltaic power station system have various types and poor structure, methods such as logistic regression, naive Bayes and the like are adopted for fault classification, and regression methods and decision trees are adopted for continuous prediction of the usable life cycle (namely the service life) of the photovoltaic module.
As another alternative embodiment, obtaining historical operating data of the photovoltaic module includes: acquiring historical output current and historical output power of the photovoltaic module; monitoring current environmental data of a photovoltaic module, comprising: control photovoltaic module scanning and detecting system based on unmanned aerial vehicle, gather and obtain above-mentioned current environmental data, wherein, above-mentioned current environmental data includes following at least one: light irradiance, ambient temperature, humidity, positive plate temperature, wind power; monitoring current operating data of the photovoltaic module, including: and controlling a photovoltaic module scanning and detecting system based on the unmanned aerial vehicle, and monitoring the current output current and the current output power of the photovoltaic module.
In this application embodiment, through choosing different producers, the different grade type photovoltaic module that the span is ten years, and supporting laboratory glassware equipment includes irradiator, luminousness appearance, microscope, the special test power supply of PID, solar simulator, EL detector, infrared imager, universal meter, unmanned aerial vehicle, temperature cycle test case, environmental monitoring equipment, photovoltaic module cleaning equipment etc. build photovoltaic module's decay test experiment platform.
And through the angle formed by the component structure, the attenuation indexes of the photovoltaic component are quantized, including the changes of physical and chemical properties of the photovoltaic glass, the back plate, the cell piece and the sealed EVA adhesive film, and the indexes of dust deposition effect, hot spot effect and PID effect which cause the attenuation of the photovoltaic component, and the power generation power comparison experiment of the photovoltaic component, the mechanical property and optical property experiment of the photovoltaic glass, the mechanical property detection and GPC test experiment of the back plate, the hidden crack distribution statistics and EL test experiment of the cell piece, the PID test experiment, the hot spot effect detection experiment, the attenuation comparison experiment of the photovoltaic component with different materials and types, the attenuation comparison experiment of the photovoltaic component with different cleaning degrees, the accelerated attenuation and destructive experiment and the like are developed all the year round.
And finally, the operation condition of the photovoltaic module is monitored in real time by utilizing big data and an unmanned aerial vehicle technology, the unmanned aerial vehicle carries a vision and infrared imaging device to monitor the optical module, and meanwhile, the influence of the photovoltaic module on photovoltaic power generation under the abnormal attenuation condition is reduced by means of artificial measures of periodical cleaning, old replacement, timely fault repair and the like.
In an optional embodiment, aiming at the research of a state monitoring and analyzing system of a wind generating set, the state monitoring of the main shaft vibration and the tower barrel is realized through an ultralow frequency vibration acceleration sensor in the embodiment of the application; monitoring the vibration state of transmission chain equipment such as a planet wheel, a gear box, a generator and the like through a common acceleration vibration acceleration sensor, and triggering a related acquisition strategy by means of a rotating speed sensor; other signals such as current, voltage, power, wind speed and the like of the access unit are transmitted to the same software platform through process quantity signals, intelligent alarm of equipment faults is achieved through various alarm processing modes and an auxiliary diagnosis function, then data transmission is carried out through a computer monitoring system network of the wind generating set, and remote diagnosis and equipment state assessment of experts are achieved.
In an optional embodiment, aiming at the research of a wind turbine tower and a foundation settlement monitoring and analyzing system, the working state and the foundation settlement state of the wind turbine tower can be monitored through the wind turbine tower and the foundation settlement monitoring and analyzing system, the vibration signals, the shaking degree and the inclination angle data of the tower are collected in real time, the running state of the wind turbine is analyzed, the running state of the wind turbine can be diagnosed and analyzed through a real-time unit overturning monitoring graph, a dangerous rotating speed area monitoring graph, an inclination angle distribution graph, a frequency spectrum graph, a trend graph and an analysis comparison graph, data management can be performed through various tools such as alarm display, autonomous alarm, data report forms, log query and user management, and an optimal state monitoring solution is provided for the healthy running of the wind turbine.
In another alternative embodiment, aiming at the research of the health monitoring and analyzing system of the wind generating set blade, the embodiment of the application forms a complex load spectrum of the wind generating set by bearing multiple loads including aerodynamic load, gravity load, inertia load, operation load and the like during the operation of the wind generating set, and the loads act together. The damage or aging of the composite material during the service period of the blade is a process which gradually changes along with time, particularly the environment of a wind power plant is severe and complex, and besides the action of mechanical mechanics, external chemical elements and the blade material can also generate physical and chemical actions, so that the material degradation and the structural failure can be caused. The wind turbine blade health online monitoring system obtains structural dynamics and temperature signals on a fan blade by additionally arranging a special sensor, and performs timing acquisition and analysis processing on the structural dynamics and related signals to obtain running state information of fan impeller equipment, so that early faults of the wind turbine blade can be detected in time, and serious damage and accidents of a machine can be avoided.
In another optional embodiment, aiming at the research of the key equipment health online monitoring and intelligent diagnosis system of the hydropower station, the embodiment of the application can continuously monitor the stability related parameters such as vibration, swing, pressure pulsation, air clearance, magnetic field intensity and the like and the working condition parameters such as active power, reactive power, excitation voltage, servomotor stroke and the like in the operation process of the hydroelectric generating set on line through the research of the online state monitoring and analysis system of the hydroelectric generating set, record data useful for equipment management and diagnosis for a long time, provide a professional diagnosis map, automatically generate a set state analysis report, and finally transmit and release the data on the network; the state of the unit can be identified in time, early signs of the fault can be found, and the reason, the severity and the development trend of the fault can be judged, so that the hidden fault danger can be eliminated in time, and the occurrence of destructive accidents can be avoided.
In yet another alternative embodiment, for the research on the intelligent photovoltaic power station fault detection and life prediction technology, the photovoltaic array online fault diagnosis technology based on the environmental sensor in the embodiment of the present application researches and extracts environmental indicators (e.g., light irradiance, ambient temperature, humidity, photovoltaic panel temperature, wind power) and panel indicators (e.g., size, material, photovoltaic array output current, output power) closely related to a photovoltaic fault, and supervision data indicating whether the fault exists, and the like. And (3) researching a fault diagnosis technology based on variable indexes/characteristics, and establishing an offline/online real-time fault diagnosis model by taking the environmental indexes as input. And a photovoltaic module scanning and detecting system based on the unmanned aerial vehicle is built, the unmanned aerial vehicle scanning path and attitude control method is adopted, the unmanned aerial vehicle is controlled to obtain high-quality fault images of surface cracks and hot spots, a storage platform of the fault images is built, effective acquisition and storage of the fault images are achieved, and therefore the photovoltaic module scanning and detecting system based on the unmanned aerial vehicle is built.
In the above optional embodiments, the present application embodiment is based on an image component surface micro-crack and hot spot real-time diagnosis technology, a fault image (including an infrared image, etc.) image preprocessing and fault feature extraction technology, and establishes a surface crack and hot spot diagnosis model based on image recognition, so as to realize real-time online fault diagnosis capability, for example, by performing image tilt correction (perspective transformation) on an infrared image of a photovoltaic panel, intercepting a single photovoltaic panel, image preprocessing, Otsu threshold selection algorithm, etc., so as to mark a connected region, and by a photovoltaic power station monitoring historical data depth mining technology, perform photovoltaic array attenuation analysis and life prediction, obtain attenuation data of a photovoltaic component, research data mining technology, establish a machine learning model for fault and life prediction, and research a mapping relationship between an environmental index and a life prediction model, the photovoltaic array attenuation degree prediction capability based on the environmental indexes is realized.
In an optional embodiment, before determining the usable life cycle of the photovoltaic module according to the current environmental data, the historical operating data, and the current operating data, the method further comprises:
step S202, determining a life cycle attenuation index of the photovoltaic module;
step S204, obtaining sample environment data, sample historical operation data and sample current operation data;
and step S206, establishing a photovoltaic module attenuation model according to the sample environment data, the sample historical operating data and the sample current operating data based on the life cycle attenuation index.
In the above optional embodiment, the life cycle decay index includes at least one of: the method comprises the following steps of providing a photovoltaic module glass scratch index, a light transmittance index, a backboard mechanical property index, a cell subfissure index, a hot spot effect and process control PID (proportion integration differentiation) effect index, a random attenuation index, a backboard and sealing ethylene-vinyl acetate copolymer EVA (ethylene-vinyl acetate) adhesive film chemical deterioration index and a photovoltaic module cleaning index.
The photovoltaic power generation data are periodically measured by building a photovoltaic module attenuation test experiment platform, and the influence of different environmental factors on the attenuation of the photovoltaic module is explored.
For example, for photovoltaic modules which run year by year in the decade of 2008-2018, 20 photovoltaic modules (200 modules in total in 10 years) in each year are selected, the photovoltaic modules in each year are respectively monocrystalline silicon 14, polycrystalline silicon 4 and amorphous silicon 2 which are produced by a plurality of manufacturers, all the photovoltaic modules are collected, and a photovoltaic module attenuation test experiment platform is built according to the actual photovoltaic module running state; carrying out continuous monitoring on photovoltaic power generation data which lasts for 1 year, wherein the continuous monitoring comprises photovoltaic power generation data such as open-circuit voltage, short-circuit current, power attenuation rate and the like of a component; the photovoltaic modules are grouped, the attenuation conditions of the photovoltaic modules under different irradiation, temperature and dust conditions are compared, the weight of each factor is analyzed, and subsequent experiments are carried out after the photovoltaic power generation data monitoring is completed.
In the above optional embodiment, attenuation test experimental study is performed on the photovoltaic module, and module attenuation indexes including a photovoltaic module glass scratch index, a light transmittance index, a backboard mechanical characteristic index, a cell subfissure index, a hot spot effect and PID effect index, a random attenuation index, a backboard and sealed EVA adhesive film chemical deterioration index, a photovoltaic module cleaning index and the like can be further quantified from physical and chemical angles except for power generation. The method comprises the following steps of developing a photovoltaic module power generation comparison experiment, a photovoltaic glass mechanical characteristic and optical characteristic experiment, a backboard mechanical characteristic detection and GPC test experiment, a cell sheet hidden crack distribution statistics and EL test experiment, a PID test experiment, a hot spot effect detection experiment, a photovoltaic module attenuation comparison experiment of different materials and types, a photovoltaic module attenuation comparison experiment of different cleaning degrees, an accelerated attenuation and destructive experiment and the like all the year round.
By establishing a photovoltaic module attenuation model, predicting the future operating condition of the photovoltaic module and researching the photovoltaic module attenuation monitoring, preventing and controlling measures, for example, establishing a photovoltaic module attenuation model in a high-altitude desert region and accurately predicting the future operating condition of the photovoltaic module; carry on long-term electricity generation data monitoring and unmanned aerial vehicle to photovoltaic module and carry on vision and infrared monitoring, prevent the unusual decay of optical module, take effective measure to photovoltaic module decay, reduce the influence of harmful factors such as strong, the difference in temperature of radiation in decay rate and the environment, the dust is many.
As an optional embodiment, in the aspect of online monitoring and intelligent diagnosis of equipment health, the current health condition of a wind turbine generator, the current running risk point position and possible faults of the wind turbine generator are judged through big data analysis, and a basis is provided for spare part maintenance preparation, maintenance scheme preparation and the like. In the aspect of research on intelligent photovoltaic power station fault detection and service life prediction technologies, aiming at the problem of fault diagnosis of a photovoltaic system in a high-altitude area, the research is combined with historical data, environmental data, real-time monitoring data and the like, the operation and maintenance optimization technology of the photovoltaic power station is researched based on a big data method, and a theoretical basis is provided for accurate diagnosis of a photovoltaic power generation system. The photovoltaic power station component quality evaluation and attenuation mechanism research is developed around photovoltaic component attenuation, attenuation factors of the photovoltaic components are ascertained by quantifying indexes of the photovoltaic component attenuation and combining environmental climate data of the past year, main factors causing the component attenuation are determined, the attenuation mechanism of the photovoltaic components is clarified, and a photovoltaic component attenuation model is established so as to accurately predict the future operation condition of the photovoltaic power station.
In an alternative embodiment, determining the usable life cycle of the photovoltaic module according to the current environmental data, the historical operating data, and the current operating data includes:
step S302, determining the corresponding sample environment data, the corresponding sample historical operation data and the corresponding sample current operation data in the photovoltaic module attenuation model according to the current environment data, the corresponding historical operation data and the corresponding current operation data;
step S304, analyzing the current environmental data based on the sample environmental data to obtain a first analysis result, analyzing the historical operating data according to the sample historical operating data to obtain a second analysis result, and analyzing the current operating data according to the sample current operating data to obtain a third analysis result;
step S306, obtaining the usable life cycle of at least one of the first analysis result, the second analysis result and the third analysis result.
In the above optional embodiment, the sample environmental data, the sample historical operating data, and the sample current operating data corresponding to the photovoltaic module attenuation model are determined according to the current environmental data, the historical operating data, and the current operating data; analyzing the current environmental data based on the sample environmental data to obtain a first analysis result, analyzing the historical operating data according to the sample historical operating data to obtain a second analysis result, and analyzing the current operating data according to the sample current operating data to obtain a third analysis result; and further obtaining the usable life cycle of at least one of the first analysis result, the second analysis result and the third analysis result.
The equipment health on-line monitoring and intelligent diagnosis scheme provided by the embodiment of the application breaks through the regular maintenance mode of the traditional equipment and solves the problems of excessive maintenance or insufficient maintenance of the equipment. The traditional after-the-fact maintenance and scheduled maintenance of the equipment are carried forward to the state maintenance and the predicted maintenance. The equipment health state monitoring and intelligent diagnosis technology is used as a basic means for predicting maintenance, and plays an important role in promoting the continuous development of equipment management. In the aspect of intelligent photovoltaic power station fault detection and service life prediction technology research, firstly, a photovoltaic module detection system based on an unmanned aerial vehicle is built, and the fault analysis is based; and secondly, predicting the service life of the photovoltaic component based on the environment and historical data. In the aspect of photovoltaic power station component quality evaluation and attenuation mechanism research, firstly, aiming at the attenuation of a photovoltaic component in a high-altitude desert region, the attenuation is measured and expanded to multiple indexes (including a photovoltaic component glass scratch index, a light transmittance index, a backboard mechanical characteristic index, a cell sheet subfissure index, a hot spot effect index, a PID effect index, a random attenuation index, a backboard and sealing EVA adhesive film chemical deterioration index and a photovoltaic component cleaning index) by using a single index of power attenuation rate, and the method is a main characteristic and innovation point of the subject. And secondly, establishing a photovoltaic module attenuation model in the high-altitude desert region for the first time, accurately predicting the future operating condition of the photovoltaic module, and providing basis and reference for formulating the module attenuation standard in the photovoltaic industry.
According to the embodiment of the application, the equipment health online monitoring and intelligent diagnosis research are beneficial to actively troubleshooting equipment faults, the running risk is reduced, the service life of the equipment is prolonged, and the utilization rate, the safety and the reliability of the equipment are improved. The maintenance is carried out according to the equipment condition to comprehensively monitor the work and the process, and the times of machine maintenance are reduced, so that the maintenance cost is reduced, and the indirect loss caused by maintenance is reduced. Eliminating the risk of malfunction of a smooth-running machine due to unnecessary maintenance or "over-maintenance". The loss caused by the unplanned shutdown can be greatly reduced by combining the equipment health state monitoring technology with an active and reliable maintenance mode.
According to the embodiment of the application, through the research on the intelligent photovoltaic power station fault detection and service life prediction technology, the technology for diagnosing the faults of the photovoltaic power generation system in the high-altitude area is researched, the key point is based on historical data, environmental data and real-time monitoring data, a three-dimensional diagnosis mechanism of the photovoltaic system is realized, the research result can effectively reduce the fault rate of a photovoltaic module, the photovoltaic power generation quality of a large-scale photovoltaic power station is improved, the life cycle of the battery module is prolonged, the operation and maintenance cost of the photovoltaic power station is reduced, the healthy development of the photovoltaic operation and maintenance industry is assisted, the intelligent level of the photovoltaic power station can be effectively improved, and the reliability of.
In the embodiment of the application, aiming at the quality evaluation and attenuation mechanism research of photovoltaic power station components, the attenuation current situation of the photovoltaic components in the desert regions in western regions with large photovoltaic power generation scale is researched and deeply researched, the photovoltaic components of different types and different manufacturers with spans of being put into operation year by year are selected as research objects through field sampling, a photovoltaic component attenuation test platform is built, the attenuation mechanism of the photovoltaic components is explored, a photovoltaic component attenuation model is built, a theoretical basis is provided for the accurate prediction of the photovoltaic power generation power in the desert regions in our province, a reference is provided for the formulation of the attenuation standard of the photovoltaic components, the competitiveness of photovoltaic component manufacturing enterprises is improved, and the healthy development of the photovoltaic operation and maintenance industry is assisted.
Example 2
According to an embodiment of the present invention, there is further provided a system embodiment for implementing the method for determining the life cycle of the photovoltaic module, and fig. 2 is a schematic structural diagram of a system for determining the life cycle of the photovoltaic module according to an embodiment of the present invention, as shown in fig. 2, the system for determining the life cycle of the photovoltaic module includes: a monitor 30 and a processor 32, wherein:
a monitor 30 for monitoring current environmental data and current operating data of the photovoltaic module; and a processor 32 connected to the monitor 30 for acquiring historical operating data of the photovoltaic module and determining a usable life cycle of the photovoltaic module according to the current environmental data, the historical operating data and the current operating data.
Optionally, the processor 32 is further configured to determine a life cycle decay index of the photovoltaic module; acquiring sample environment data, sample historical operating data and sample current operating data; and establishing a photovoltaic module attenuation model according to the sample environment data, the sample historical operating data and the sample current operating data based on the life cycle attenuation index.
Optionally, the processor 32 is further configured to determine, according to the current environmental data, the historical operating data, and the current operating data, the corresponding sample environmental data, the historical operating data, and the current operating data in the photovoltaic module attenuation model; analyzing the current environmental data based on the sample environmental data to obtain a first analysis result, analyzing the historical operating data according to the sample historical operating data to obtain a second analysis result, and analyzing the current operating data according to the sample current operating data to obtain a third analysis result; and acquiring the usable life cycle in at least one analysis result of the first analysis result, the second analysis result and the third analysis result.
Optionally, the system further includes: the photovoltaic module scanning and detecting system is used for acquiring the current environment data and the current operation data, wherein the current environment data comprises at least one of the following data: light irradiance, ambient temperature, humidity, positive plate temperature, wind power, the above current operational data including: the present output current and the present output power.
Optionally, the photovoltaic module is arranged in a high-altitude desert region.
It should be noted that the specific structure of the system for determining the life cycle of the photovoltaic module shown in fig. 3 in the present application is only illustrative, and the system for determining the life cycle of the photovoltaic module in the present application may have more or less structures than the system for determining the life cycle of the photovoltaic module shown in fig. 3 in a specific application.
It should be noted that any optional or preferred method for determining the life cycle of the photovoltaic module in embodiment 1 above can be implemented or realized in the system for determining the life cycle of the photovoltaic module provided in this embodiment.
In addition, it should be noted that, for alternative or preferred embodiments of the present embodiment, reference may be made to the relevant description in embodiment 1, and details are not described herein again.
Example 3
According to an embodiment of the present invention, there is also provided an embodiment of an apparatus for implementing the method for determining a lifetime of a photovoltaic module, fig. 3 is a schematic structural diagram of an apparatus for determining a lifetime of a photovoltaic module according to an embodiment of the present invention, and as shown in fig. 3, the apparatus for determining a lifetime of a photovoltaic module includes: an acquisition module 40, a monitoring module 42, and a determination module 44, wherein:
the acquisition module 40 is used for acquiring historical operating data of the photovoltaic module; a monitoring module 42, configured to monitor current environmental data and current operating data of the photovoltaic module; a determining module 44, configured to determine a usable life cycle of the photovoltaic module according to the current environmental data, the historical operating data, and the current operating data.
It should be noted that the above modules may be implemented by software or hardware, for example, for the latter, the following may be implemented: the modules can be located in the same processor; alternatively, the modules may be located in different processors in any combination.
It should be noted here that the above-mentioned obtaining module 40, monitoring module 42 and determining module 44 correspond to steps S102 to S106 in embodiment 1, and the above-mentioned modules are the same as the examples and application scenarios realized by the corresponding steps, but are not limited to the disclosure of embodiment 1. It should be noted that the modules described above may be implemented in a computer terminal as part of an apparatus.
It should be noted that, reference may be made to the relevant description in embodiment 1 for alternative or preferred embodiments of this embodiment, and details are not described here again.
The above-mentioned device for determining the life cycle of the photovoltaic module may further include a processor and a memory, and the above-mentioned obtaining module 40, the monitoring module 42, the determining module 44, and the like are all stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to implement corresponding functions.
The processor comprises a kernel, and the kernel calls a corresponding program unit from the memory, wherein one or more than one kernel can be arranged. The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
According to the embodiment of the application, the embodiment of the nonvolatile storage medium is also provided. Optionally, in this embodiment, the nonvolatile storage medium includes a stored program, and when the program runs, the device where the nonvolatile storage medium is located is controlled to execute any one of the above methods for determining the life cycle of the photovoltaic module.
Optionally, in this embodiment, the nonvolatile storage medium may be located in any one of a group of computer terminals in a computer network, or in any one of a group of mobile terminals, and the nonvolatile storage medium includes a stored program.
Optionally, the apparatus in which the non-volatile storage medium is controlled to perform the following functions when the program is executed: acquiring historical operating data of the photovoltaic module; monitoring current environmental data and current operating data of the photovoltaic module; and determining the usable life cycle of the photovoltaic module according to the current environment data, the historical operation data and the current operation data.
Optionally, the apparatus in which the non-volatile storage medium is controlled to perform the following functions when the program is executed: determining a life cycle attenuation index of the photovoltaic module; acquiring sample environment data, sample historical operating data and sample current operating data; and establishing the photovoltaic module attenuation model according to the sample environment data, the sample historical operating data and the sample current operating data based on the life cycle attenuation index.
Optionally, the apparatus in which the non-volatile storage medium is controlled to perform the following functions when the program is executed: determining the corresponding sample environment data, the sample historical operating data and the sample current operating data in the photovoltaic module attenuation model according to the current environment data, the historical operating data and the current operating data; analyzing the current environmental data based on the sample environmental data to obtain a first analysis result, analyzing the historical operating data according to the sample historical operating data to obtain a second analysis result, and analyzing the current operating data according to the sample current operating data to obtain a third analysis result; and acquiring the usable life cycle in at least one analysis result of the first analysis result, the second analysis result and the third analysis result.
Optionally, the apparatus in which the non-volatile storage medium is controlled to perform the following functions when the program is executed: acquiring historical output current and historical output power of the photovoltaic module; control photovoltaic module scanning and detecting system based on unmanned aerial vehicle, gather and obtain above-mentioned current environmental data, wherein, above-mentioned current environmental data includes following at least one: light irradiance, ambient temperature, humidity, positive plate temperature, wind power; and controlling a photovoltaic module scanning and detecting system based on the unmanned aerial vehicle, and monitoring the current output current and the current output power of the photovoltaic module.
According to the embodiment of the application, the embodiment of the processor is also provided. Optionally, in this embodiment, the processor is configured to execute a program, where the program executes any one of the above methods for determining the life cycle of the photovoltaic module.
An embodiment of the present application provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the computer program to perform any one of the above methods for determining a life cycle of a photovoltaic module.
The present application further provides a computer program product adapted to perform a program being initialized with method steps of determining a life cycle of a photovoltaic module when executed on a data processing device.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable non-volatile storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a non-volatile storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned nonvolatile storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (15)
1. A method of determining a lifecycle of a photovoltaic assembly, comprising:
acquiring historical operating data of the photovoltaic module;
monitoring current environmental data and current operating data of the photovoltaic module;
and determining the usable life cycle of the photovoltaic module according to the current environment data, the historical operation data and the current operation data.
2. The method of claim 1, wherein prior to determining the usable life cycle of the photovoltaic module from the current environmental data, the historical operating data, and the current operating data, the method further comprises:
determining a life cycle decay index of the photovoltaic module;
acquiring sample environment data, sample historical operating data and sample current operating data;
and establishing a photovoltaic module attenuation model according to the sample environment data, the sample historical operating data and the sample current operating data based on the life cycle attenuation index.
3. The method of claim 2, wherein determining the usable life cycle of the photovoltaic module from the current environmental data, the historical operating data, and the current operating data comprises:
determining the corresponding sample environment data, the sample historical operating data and the sample current operating data in the photovoltaic module attenuation model according to the current environment data, the historical operating data and the current operating data;
analyzing the current environmental data based on the sample environmental data to obtain a first analysis result, analyzing the historical operating data according to the sample historical operating data to obtain a second analysis result, and analyzing the current operating data according to the sample current operating data to obtain a third analysis result;
obtaining the usable life cycle in at least one of the first, second, and third analysis results.
4. The method of claim 2, wherein the lifecycle decay indicators comprise at least one of: the method comprises the following steps of providing a photovoltaic module glass scratch index, a light transmittance index, a backboard mechanical property index, a cell subfissure index, a hot spot effect and process control PID (proportion integration differentiation) effect index, a random attenuation index, a backboard and sealing ethylene-vinyl acetate copolymer EVA (ethylene-vinyl acetate) adhesive film chemical deterioration index and a photovoltaic module cleaning index.
5. The method of claim 1,
acquiring historical operating data of the photovoltaic module, wherein the historical operating data comprises the following steps: acquiring historical output current and historical output power of the photovoltaic module;
monitoring current environmental data of a photovoltaic module, comprising: controlling a photovoltaic module scanning and detecting system based on an unmanned aerial vehicle, and acquiring the current environment data, wherein the current environment data comprises at least one of the following data: light irradiance, ambient temperature, humidity, positive plate temperature, wind power;
monitoring current operating data of the photovoltaic module, including: and controlling a photovoltaic module scanning and detecting system based on an unmanned aerial vehicle, and monitoring the current output current and the current output power of the photovoltaic module.
6. The method according to any one of claims 1 to 5, wherein the photovoltaic module is a photovoltaic module disposed in high altitude desert regions.
7. A system for determining a lifecycle of a photovoltaic assembly, comprising:
the monitor is used for monitoring the current environmental data and the current operation data of the photovoltaic module;
and the processor is connected with the monitor and used for acquiring historical operating data of the photovoltaic module and determining the usable life cycle of the photovoltaic module according to the current environmental data, the historical operating data and the current operating data.
8. The system of claim 7, wherein the processor is further configured to determine a life cycle decay indicator for the photovoltaic module; acquiring sample environment data, sample historical operating data and sample current operating data; and establishing a photovoltaic module attenuation model according to the sample environment data, the sample historical operating data and the sample current operating data based on the life cycle attenuation index.
9. The system of claim 8, wherein the processor is further configured to determine the corresponding sample environmental data, the sample historical operating data, and the sample current operating data in the photovoltaic module attenuation model based on the current environmental data, the historical operating data, and the current operating data; analyzing the current environmental data based on the sample environmental data to obtain a first analysis result, analyzing the historical operating data according to the sample historical operating data to obtain a second analysis result, and analyzing the current operating data according to the sample current operating data to obtain a third analysis result; obtaining the usable life cycle in at least one of the first, second, and third analysis results.
10. The system of claim 8, further comprising:
the photovoltaic module scanning and detecting system is used for acquiring the current environment data and the current operation data, wherein the current environment data comprises at least one of the following data: light irradiance, ambient temperature, humidity, positive plate temperature, wind power, the current operational data including: the present output current and the present output power.
11. The system according to any one of claims 7 to 10, wherein the photovoltaic module is a photovoltaic module disposed in high altitude desert regions.
12. An apparatus for determining a lifecycle of a photovoltaic module, comprising:
the acquisition module is used for acquiring historical operating data of the photovoltaic module;
the monitoring module is used for monitoring the current environmental data and the current operation data of the photovoltaic module;
and the determining module is used for determining the usable life cycle of the photovoltaic module according to the current environment data, the historical operating data and the current operating data.
13. A non-volatile storage medium, characterized in that it stores a plurality of instructions adapted to be loaded by a processor and to perform the method of determining the life cycle of a photovoltaic module according to any one of claims 1 to 6.
14. A processor, characterized in that the processor is configured to run a program, wherein the program is configured to perform the method of determining a life cycle of a photovoltaic module as claimed in any one of claims 1 to 6 when running.
15. An electronic device comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to execute the computer program to perform the method of determining a life cycle of a photovoltaic component as claimed in any of the claims 1 to 6.
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