Disclosure of Invention
In view of this, the invention provides a method and a system for detecting surface dust deposition of a photovoltaic module, and a photovoltaic power generation system, so as to accurately determine the surface dust deposition degree of the photovoltaic module in any area in the photovoltaic power generation system.
A method for detecting surface dust deposition of a photovoltaic module comprises the following steps:
in the normal power generation process of the photovoltaic power generation system, power generation data of a clean component and a dust component under a maximum power point tracking control strategy based on an error correction algorithm are respectively obtained; selecting two photovoltaic modules with equal capacity from a designated area in the photovoltaic power generation system in advance, wherein one photovoltaic module is used as a clean module after surface cleaning, and the other photovoltaic module is directly used as a dust module;
and comparing the power generation data of the dust component with the power generation data of the clean component to determine the dust deposition degree of the surface of the dust component, wherein the dust deposition degree is used as the detection result of the dust deposition degree of the surfaces of all the photovoltaic components except the clean component in the designated area.
Optionally, the power generation data is maximum power; or the power generation data is the maximum power generation amount within the preset time.
Optionally, the determining the dust deposition degree on the surface of the dust component by comparing the power generation data of the dust component with the power generation data of the clean component includes:
calculating e1 according to a formula e1 ═ S1-S2)/S1 ═ 100% or a formula e1 ═ S2-S1)/S1 ═ 100%, and determining the dust deposition degree of the surface of the dust component according to e 1; wherein S1 is the power generation data of clean components, and S2 is the power generation data of dust components.
Optionally, the maximum power point tracking control strategy based on the error correction algorithm includes:
periodically acquiring the maximum power Pmax3 of the photovoltaic module by using an IV scanning technology;
in the same period, if the maximum power Pmax3 of the photovoltaic module obtained by the IV scanning technique is greater than the maximum power Pmax4 of the photovoltaic module obtained by the maximum power point tracking control algorithm, the maximum power Pmax4 is corrected to the maximum power Pmax3 and then fed back to the maximum power point tracking control algorithm.
Optionally, the clean component and the dust component are photovoltaic components connected to a power optimizer with an IV scanning function.
Optionally, the clean component and the dust component are photovoltaic components connected to a micro inverter with an IV scanning function.
Optionally, the photovoltaic module is an independent photovoltaic module or an equivalent photovoltaic module formed by combining a plurality of photovoltaic modules in series and parallel.
A photovoltaic module surface dust deposition detection system comprises: a cleaning assembly, a dust assembly and a controller; two photovoltaic modules with equal capacity are selected from a designated area in a photovoltaic power generation system in advance, one photovoltaic module is used as a clean module after surface cleaning, and the other photovoltaic module is directly used as a dust module;
the controller is used for respectively acquiring power generation data of the clean component and the dust component under a maximum power point tracking control strategy based on an error correction algorithm in the normal power generation process of the photovoltaic power generation system; and comparing the power generation data of the dust component with the power generation data of the clean component to determine the dust deposition degree of the surface of the dust component, wherein the dust deposition degree is used as the detection result of the dust deposition degree of the surfaces of all the photovoltaic components except the clean component in the designated area.
Optionally, the power generation data is maximum power; or the power generation data is the maximum power generation amount within the preset time.
Optionally, the maximum power point tracking control strategy based on the error correction algorithm includes:
periodically acquiring the maximum power Pmax3 of the photovoltaic module by using an IV scanning technology;
in the same period, if the maximum power Pmax3 of the photovoltaic module obtained by the IV scanning technique is greater than the maximum power Pmax4 of the photovoltaic module obtained by the maximum power point tracking control algorithm, the maximum power Pmax4 is corrected to the maximum power Pmax3 and then fed back to the maximum power point tracking control algorithm.
A photovoltaic power generation system is divided into N areas, N is larger than or equal to 1, and each area is respectively provided with any one of the photovoltaic module surface dust deposition detection systems disclosed above.
According to the technical scheme, two photovoltaic modules with equal capacity are selected from a designated area in the photovoltaic power generation system, one photovoltaic module is used as a clean module after surface cleaning, and the other photovoltaic module is directly used as a dust module; under the condition that normal power generation of the photovoltaic power generation system is not interfered, the surface dust deposition degree of all photovoltaic modules which are not subjected to surface cleaning in the designated area can be determined at one time according to the power generation data difference value of the clean modules and the dust modules, and no power generation amount loss and no extra hardware cost input exist in the whole detection process. Moreover, the acquired power generation data is error-corrected data, so that the accuracy of the detection result is improved.
Detailed Description
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.
Referring to fig. 1, an embodiment of the invention discloses a method for detecting surface dust deposition of a photovoltaic module, which includes:
step S01: in the normal Power generation process of the photovoltaic Power generation system, Power generation data of a clean component and a dust component under an MPPT (Maximum Power Point Tracking) control strategy based on an error correction algorithm are respectively obtained; two photovoltaic modules with equal capacity are selected from a designated area in the photovoltaic power generation system in advance, one photovoltaic module is used as a clean module after surface cleaning, and the other photovoltaic module is directly used as a dust module.
Specifically, the power generation data may be a maximum power or a maximum power generation amount within a preset time, and the maximum power generation amount within the preset time of the photovoltaic module is equal to a product of the maximum power of the photovoltaic module and the preset time. The analysis of step S01 will be described below by taking the generated power data as the maximum power.
The maximum power of the photovoltaic module is influenced by internal factors and external environmental factors. The internal factor affecting the maximum power of the photovoltaic module is the capacity of the photovoltaic module. External environmental factors affecting the maximum power of the photovoltaic module include: the installation inclination angle, the ambient temperature, the illumination intensity, the surface dust deposition degree and the like of the photovoltaic module.
According to whether the external environmental factors influencing the maximum power of the photovoltaic modules are the same or not, the photovoltaic power generation system is divided into regions, and for each photovoltaic module divided into the same region, the external environmental factors influencing the maximum power of the photovoltaic module are basically the same. Therefore, when the photovoltaic power generation system normally generates power, the maximum powers of any two photovoltaic modules with equal capacity in the same region are basically equal. Based on this, when the dust deposition degree of each photovoltaic module surface in a certain designated area is to be detected, any two photovoltaic modules with equal capacity can be selected from the designated area in advance, and one of the photovoltaic modules can be cleaned on the surface, and the cleaning mode can be, for example, cleaning the surface by using a tool such as rag, water or brush; when the photovoltaic module subjected to surface cleaning is called a clean module, and the photovoltaic module not subjected to surface cleaning is called a dust module, the maximum power difference between the clean module and the dust module can reflect the surface ash deposition degree of the dust module, and the surface ash deposition degree of the dust module can represent the surface ash deposition degree of all the photovoltaic modules not subjected to surface cleaning in the designated area.
The MPPT control strategy of the photovoltaic module is to gradually approach the actual working point of the photovoltaic module by adjusting the output voltage of the photovoltaic module and finally stabilize the maximum power point of the photovoltaic module under the current environmental condition. In practical application, the maximum power point of the photovoltaic module tracked under the MPPT control strategy inevitably has an error, and further, the surface dust deposition degree of the dust module determined according to the maximum power difference is inaccurate, so that it is necessary to correct the error of the maximum power point of the dust module and the maximum power point of the clean module tracked under the MPPT control strategy.
Step S02: and comparing the power generation data of the dust component with the power generation data of the clean component to determine the dust deposition degree of the surface of the dust component, wherein the dust deposition degree is used as the detection result of the dust deposition degree of the surfaces of all the photovoltaic components except the clean component in the designated area.
Specifically, after error correction is performed on the maximum power point of the dust component and the maximum power point of the clean component, which are tracked under the MPPT control strategy, the maximum power difference (or the maximum generated power difference) between the clean component and the dust component can accurately represent the surface dust deposition degree of all photovoltaic components, which are not subjected to surface cleaning, in the designated area. In addition, normal power generation of the photovoltaic power generation system cannot be interfered in the whole dust deposition degree detection process, and extra hardware cost investment is avoided.
As can be seen from the above description, in the embodiment of the present invention, two photovoltaic modules with equal capacity are selected from a designated area in a photovoltaic power generation system, one of the photovoltaic modules is used as a clean module after surface cleaning, and the other is directly used as a dust module; under the condition that normal power generation of the photovoltaic power generation system is not interfered, the surface dust deposition degree of all photovoltaic modules which are not subjected to surface cleaning in the designated area can be determined at one time according to the power generation data difference value of the clean modules and the dust modules, and no power generation amount loss and no extra hardware cost input exist in the whole detection process. Moreover, the acquired power generation data is error-corrected data, so that the accuracy of the detection result is improved.
Optionally, when the dust deposition degree of the surface of the dust component is determined according to the power generation data difference value of the clean component and the dust component, the capacity of the photovoltaic component needs to be considered, and the method is complex. For example, when the maximum power difference between a 100W clean component and a 100W dust component is equal to 20W, and the maximum power difference between a 200W clean component and a 100W dust component is also equal to 20W, it is apparent that the surface ash deposition thickness of the 100W dust component is different from that of the 200W dust component, and the 100W dust component surface ash deposition is thicker. Therefore, in order to avoid considering the influence of the capacity of the photovoltaic module on determining the dust accumulation degree of the surface of the dust module, the embodiment of the invention recommends calculating e1 according to the formula e1 ═ 100% (S1-S2)/S1 ═ 100% or the formula e1 ═ 100% (S2-S1)/S1 ═ 100%, and determining the dust accumulation degree of the surface of the dust module according to e 1; s1 represents the power generation data of clean components, S2 represents the power generation data of dust components.
Optionally, in any embodiment disclosed above, the maximum power point tracking control strategy based on the error correction algorithm includes: periodically acquiring the maximum power Pmax3 of the photovoltaic module by using an IV scanning technology; in the same period, if the maximum power Pmax3 of the photovoltaic module obtained by the IV scanning technology is larger than the maximum power Pmax4 of the photovoltaic module obtained by the maximum power point tracking control algorithm, correcting the maximum power Pmax4 into the maximum power Pmax3 and feeding back the maximum power Pmax3 into the maximum power point tracking control algorithm; if the maximum power Pmax3 of the photovoltaic module obtained by the IV scanning technology is not larger than the maximum power Pmax4 of the photovoltaic module obtained by the maximum power point tracking control algorithm, the maximum power Pmax4 does not need to be corrected.
Optionally, in any of the embodiments disclosed above, to further improve the detection accuracy, in the process of obtaining the power generation data of the clean components and the power generation data of the dust components, data preprocessing such as removing abnormal data, obtaining the power generation powers of a plurality of clean components at the same time, then averaging, obtaining the power generation powers of a plurality of dust components at the same time, then averaging, and the like may be performed.
Optionally, in any of the embodiments disclosed above, the clean component and the dust component are both photovoltaic components connected to a power optimizer with an IV scanning function, and the clean component and the dust component may be connected to the same power optimizer with an IV scanning function or may be connected to two different power optimizers with an IV scanning function respectively.
Or the clean component and the dust component are photovoltaic components connected to the micro inverter with the IV scanning function, and the clean component and the dust component can be connected to the same micro inverter with the IV scanning function or can be respectively connected to two different micro inverters with the IV scanning function. The micro inverter generally refers to an inverter with power less than or equal to 1000 watts and module level MPPT in a photovoltaic power generation system, and is called a micro photovoltaic grid-connected inverter.
Optionally, in any of the embodiments disclosed above, the photovoltaic module described herein is an independent photovoltaic module or an equivalent photovoltaic module formed by combining a plurality of photovoltaic modules in series and parallel.
Corresponding to the above method embodiment, the embodiment of the present invention further discloses a system for detecting surface dust deposition of a photovoltaic module, including: a cleaning assembly, a dust assembly and a controller; two photovoltaic modules with equal capacity are selected from a designated area in a photovoltaic power generation system in advance, one photovoltaic module is used as a clean module after surface cleaning, and the other photovoltaic module is directly used as a dust module;
the controller is used for respectively acquiring power generation data of the clean component and the dust component under a maximum power point tracking control strategy based on an error correction algorithm in the normal power generation process of the photovoltaic power generation system; and comparing the power generation data of the dust component with the power generation data of the clean component to determine the dust deposition degree of the surface of the dust component, wherein the dust deposition degree is used as the detection result of the dust deposition degree of the surfaces of all the photovoltaic components except the clean component in the designated area.
Optionally, the power generation data is maximum power; or the power generation data is the maximum power generation amount within the preset time.
Optionally, in any one of the above-disclosed photovoltaic module surface ash detection systems, the maximum power point tracking control strategy based on the error correction algorithm includes:
periodically acquiring the maximum power Pmax3 of the photovoltaic module by using an IV scanning technology;
in the same period, if the maximum power Pmax3 of the photovoltaic module obtained by the IV scanning technique is greater than the maximum power Pmax4 of the photovoltaic module obtained by the maximum power point tracking control algorithm, the maximum power Pmax4 is corrected to the maximum power Pmax3 and then fed back to the maximum power point tracking control algorithm.
Optionally, in any one of the above-disclosed photovoltaic module surface dust deposition detection systems, in order to further improve detection accuracy, in the process of obtaining the power generation data of clean modules and the power generation data of dust modules, data preprocessing such as removing abnormal data, obtaining the power generation powers of a plurality of clean modules at the same time, then taking an average value, obtaining the power generation powers of a plurality of dust modules at the same time, then taking an average value, and the like may be performed.
Optionally, in any one of the above-disclosed photovoltaic module surface dust deposition detection systems, the clean module and the dust module are photovoltaic modules connected to a power optimizer with an IV scanning function, and the clean module and the dust module may be connected to the same power optimizer with the IV scanning function or may be connected to two different power optimizers with the IV scanning function respectively.
Or the clean component and the dust component are photovoltaic components connected to the micro inverter with the IV scanning function, and the clean component and the dust component can be connected to the same micro inverter with the IV scanning function or can be respectively connected to two different micro inverters with the IV scanning function.
For example, fig. 2 illustrates an example in which the clean component and the dust component are respectively connected to two different power optimizers with an IV scan function. Fig. 3 illustrates an example in which the generated power of three clean components is obtained at the same time and then averaged, the generated power of three dust components is obtained at the same time and then averaged, and six photovoltaic components including the three clean components and the three dust components are respectively connected to different power optimizers with an IV scanning function. Fig. 4 is a schematic diagram of an example in which the cleaning component and the dust component are respectively connected to two different micro-inverters with an IV scanning function. The module marked PV panel in fig. 2 to 4 represents a photovoltaic module.
Optionally, in any one of the above-disclosed systems for detecting surface dust deposition on a photovoltaic module, the photovoltaic module is an independent photovoltaic module or an equivalent photovoltaic module formed by combining a plurality of photovoltaic modules in series and parallel.
Optionally, in any one of the above-disclosed photovoltaic module surface dust deposition detection systems, the controller may be a local controller or a cloud server.
Optionally, in any of the above-disclosed systems for detecting surface ash deposition on a photovoltaic module, the communication between the controller and the power optimizer/micro-inverter may be 485 communication, for example, as shown in fig. 2, 3 or 4.
The embodiment of the invention also discloses a photovoltaic power generation system, which is divided into N areas according to whether the external environmental factors influencing the maximum power of the photovoltaic module are the same or not, wherein N is more than or equal to 1, and each area is respectively provided with any one of the photovoltaic module surface dust accumulation detection systems disclosed above.
Usually, each photovoltaic module surface dust deposition detection system is correspondingly configured with a photovoltaic module surface dust deposition cleaning system, for example, as shown in fig. 5, a photovoltaic power generation system is divided into 4 regions, namely a photovoltaic region a, a photovoltaic region B, a photovoltaic region C, and a photovoltaic region D, and each region is configured with a photovoltaic module surface dust deposition detection system and a cleaning system.
In summary, two photovoltaic modules with equal capacity are selected from a designated area in a photovoltaic power generation system, one photovoltaic module is used as a clean module after surface cleaning, and the other photovoltaic module is directly used as a dust module; under the condition that normal power generation of the photovoltaic power generation system is not interfered, the surface dust deposition degree of all photovoltaic modules which are not subjected to surface cleaning in the designated area can be determined at one time according to the power generation data difference value of the clean modules and the dust modules, and no power generation amount loss and no extra hardware cost input exist in the whole detection process. Moreover, the acquired power generation data is error-corrected data, so that the accuracy of the detection result is improved.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the detection system disclosed by the embodiment, the detection method disclosed by the embodiment corresponds to the detection system disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the description of the detection method.
The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the use of the verb "comprise a" to define an element does not exclude the presence of another, identical element in a process, method, article, or apparatus that comprises the element.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the embodiments. Thus, the present embodiments are not intended to be limited to the embodiments shown herein but are to be accorded the widest scope consistent with the principles and novel features disclosed herein.