Offset control method and optimization device for photovoltaic power generation prediction

Abstract

The invention discloses an offset control method and optimization device for photovoltaic power generation prediction, and the method comprises the steps: enabling a current photovoltaic panel when a photovoltaic power generation prediction system works to collect the real-time monocrystalline silicon conversion efficiency data of the monocrystalline silicon of the photovoltaic panel, and uploading the real-time monocrystalline silicon conversion efficiency data to a conversion efficiency change data monitoring host of a remote computer management center; historical monocrystalline silicon conversion efficiency data and historical energy conversion loss data are stored in the conversion efficiency change data supervision host. Historical monocrystalline silicon conversion efficiency data and historical energy conversion loss data which meet the optimal power generation efficiency and are uploaded by the working photovoltaic panel are calculated in a conversion efficiency change data supervision host; and controlling the energy conversion inverter of the current photovoltaic panel by using the historical energy conversion loss data conforming to the optimal power generation efficiency. According to the control method and the optimization device provided by the invention, the self-adaptive control of the energy conversion work and the energy conversion inverter can be realized, so that the safety of the energy conversion control of the photovoltaic panel is improved.

Description

Technical Field

[0001] The present invention relates to the field of photovoltaic power generation prediction, and in particular to an offset control method and an optimization device for photovoltaic power generation prediction. Background Art

[0002] Photovoltaic power generation prediction is a key technology to improve the power generation efficiency and stability of photovoltaic systems. Offset control methods and optimization devices play an important role in this regard. The power generation of photovoltaic systems is affected by many factors, including light intensity, weather conditions, and the performance of the equipment. In order to accurately predict and optimize photovoltaic power generation, offset control methods can help adjust the working state of the system to maximize its power generation potential. The core of offset control is to adjust the angle and orientation of photovoltaic panels in real time to ensure that they always receive sunlight at the best angle. This is usually achieved through a solar tracking system, which can dynamically adjust the position of photovoltaic panels to reduce the shading effect of light, thereby improving power generation efficiency.

[0003] However, the existing technology has certain defects in offset control and optimization devices. The existing method is to use solar tracking technology to effectively increase photovoltaic power generation, but its complex control algorithm and changeable weather conditions may cause prediction deviations in the actual operation of the system. This deviation makes it impossible for the system to always maintain the best state, thus affecting the overall power generation efficiency. This type of algorithm ignores the impact of energy conversion efficiency when performing offset control, resulting in low accuracy in photovoltaic power generation prediction.

[0004] Therefore, the present invention proposes an offset control method and optimization device for photovoltaic power generation prediction, which are used to control and optimize the offset of energy conversion during photovoltaic power generation prediction, so as to compensate for or solve the above-mentioned defects or shortcomings of the prior art. Summary of the invention

[0005] The technical problem to be solved by the present invention is to overcome the defect that the existing photovoltaic panel energy conversion work control technology needs to judge the photovoltaic module power generation offset through the short circuit / open circuit failure of the photovoltaic panel monocrystalline silicon and the photovoltaic module electrical equipment, thereby increasing the safety risk of the photovoltaic panel and adversely affecting the service life and economy of the related components of the energy conversion system. At the same time, the energy conversion effect is too dependent on the accuracy of sensor devices such as photovoltaic panel wind inverter devices. An offset control method and optimization device for photovoltaic power generation prediction are proposed.

[0006] The present invention solves the above technical problems through the following technical solutions:

[0007] The present invention provides an offset control method for photovoltaic power generation prediction, the method comprising:

[0008] The current photovoltaic panel when the photovoltaic power generation prediction system is working collects real-time single crystal silicon conversion efficiency data of the photovoltaic panel single crystal silicon, and uploads the acquired real-time single crystal silicon conversion efficiency data to a remote computer management center, wherein the remote computer management center includes a host computer for supervising conversion efficiency change data of the photovoltaic panel single crystal silicon, and the host computer for supervising conversion efficiency change data stores historical single crystal silicon conversion efficiency data and historical energy conversion loss data uploaded by the working photovoltaic panel when performing energy conversion work on the photovoltaic panel single crystal silicon;

[0009] The historical monocrystalline silicon conversion efficiency data and the historical energy conversion loss data uploaded by the working photovoltaic panel that meet the best power generation efficiency are calculated in the conversion efficiency change data supervision host, wherein the best power generation efficiency is defined as the photovoltaic module power generation offset displayed by the historical monocrystalline silicon conversion efficiency data and the photovoltaic module power generation offset reflected by the real-time monocrystalline silicon conversion efficiency data being consistent, and the uploaded light intensity of the historical monocrystalline silicon conversion efficiency data meets the photovoltaic module power generation offset fluctuation range set in advance;

[0010] The energy conversion inverter of the current photovoltaic panel is controlled using the historical energy conversion loss data that meets the optimal power generation efficiency, and the real-time single crystal silicon conversion efficiency data and energy conversion loss data collected by the current photovoltaic panel are uploaded to the conversion efficiency change data monitoring host.

[0011] Furthermore, the conversion efficiency change data monitoring host also stores conversion efficiency change laws extracted from the historical monocrystalline silicon conversion efficiency data based on a pre-set conversion efficiency change law extraction algorithm, and the conversion efficiency change laws include photovoltaic panel energy conversion damping change data and photovoltaic panel energy conversion meteorological and temperature change data.

[0012] Further, the step of calculating the historical single crystal silicon conversion efficiency data and the historical energy conversion loss data that meet the optimal power generation efficiency includes:

[0013] Extracting the conversion efficiency variation law contained in the real-time single crystal silicon conversion efficiency data using the conversion efficiency variation law extraction algorithm;

[0014] By comparing the conversion efficiency variation rules and uploading the light intensity, the historical single crystal silicon conversion efficiency data and the historical energy conversion loss data that meet the optimal power generation efficiency are calculated in the conversion efficiency variation data monitoring host.

[0015] Furthermore, the method further comprises the step of forming the conversion efficiency change data monitoring host, and the step of forming the conversion efficiency change data monitoring host comprises:

[0016] By using the conversion efficiency variation law, the historical monocrystalline silicon conversion efficiency data stored in the conversion efficiency variation data monitoring host is divided into compliance deviation intervals of power generation of different photovoltaic modules; and,

[0017] The step of calculating the historical single crystal silicon conversion efficiency data and the historical energy conversion loss data that meet the optimal power generation efficiency also includes:

[0018] Determine the compliance deviation interval of the photovoltaic module power generation to which the real-time single crystal silicon conversion efficiency data belongs by using the conversion efficiency change rule contained in the real-time single crystal silicon conversion efficiency data;

[0019] The historical monocrystalline silicon conversion efficiency data and the historical energy conversion loss data are calculated in the conversion efficiency change data monitoring host, which have the same photovoltaic module power generation compliance offset interval as the real-time monocrystalline silicon conversion efficiency data and the covariance of the uploaded light intensity offset of the current light intensity does not exceed the photovoltaic module power generation offset fluctuation interval.

[0020] Furthermore, the compliance deviation intervals of power generation of different photovoltaic modules involve power generation deviations of photovoltaic modules in set grid-connected time periods under different natural conditions.

[0021] Furthermore, the compliance deviation ranges of power generation of different photovoltaic modules involve the energy band width of single crystal silicon of photovoltaic panels or the failure rate of electrical equipment of photovoltaic modules under different natural conditions.

[0022] Further, the historical energy conversion loss data includes output to an energy conversion inverter of the energy conversion device.

[0023] Furthermore, the historical energy conversion loss data also includes photovoltaic cell efficiency loss, transmission and wiring loss, heat loss and hot spot effect information, and AC / DC inverter.

[0024] Furthermore, the method further comprises:

[0025] If the historical monocrystalline silicon conversion efficiency data and the historical energy conversion loss data that meet the optimal power generation efficiency cannot be calculated in the conversion efficiency change data monitoring host, the manual conversion control mode of the power center is switched to control the energy conversion inverter of the current photovoltaic panel, while the real-time monocrystalline silicon conversion efficiency data and energy conversion loss data collected by the current photovoltaic panel are still uploaded to the conversion efficiency change data monitoring host.

[0026] Furthermore, the method further comprises:

[0027] Monitor the AC / DC inverter of the current photovoltaic panel, and determine whether the current photovoltaic panel has a short circuit / open circuit fault between the photovoltaic panel monocrystalline silicon and the photovoltaic component electrical equipment based on the AC / DC inverter. If a short circuit / open circuit fault occurs between the photovoltaic panel monocrystalline silicon and the photovoltaic component electrical equipment, switch to the manual conversion control mode of the power center to control the energy conversion inverter of the current photovoltaic panel.

[0028] Furthermore, a conversion efficiency change data monitoring host is established on the power server cluster platform, and the power server cluster platform executes the steps of calculating the historical monocrystalline silicon conversion efficiency data and the historical energy conversion loss data that meet the optimal power generation efficiency, and then the historical energy conversion loss data that meets the optimal power generation efficiency is sent to the energy conversion control system of the current photovoltaic panel, so that the energy conversion control system controls the energy conversion inverter.

[0029] The present invention also provides an offset optimization device for photovoltaic power generation prediction, which is characterized in that the device comprises:

[0030] A remote computer management center, wherein the remote computer management center has a host computer for monitoring conversion efficiency changes of photovoltaic panel monocrystalline silicon, wherein the host computer for monitoring conversion efficiency changes stores historical monocrystalline silicon conversion efficiency data and historical energy conversion loss data uploaded when the working photovoltaic panel performs energy conversion work on the photovoltaic panel monocrystalline silicon;

[0031] A photovoltaic panel conversion efficiency acquisition platform, wherein the photovoltaic panel conversion efficiency acquisition platform is used to collect real-time single crystal silicon conversion efficiency data of the photovoltaic panel single crystal silicon when the photovoltaic panel is in operation of the photovoltaic power generation prediction system;

[0032] A photovoltaic panel energy conversion loss data integration module, the photovoltaic panel energy conversion loss data integration module is used to collect energy conversion loss data when the photovoltaic panel performs energy conversion work on the photovoltaic panel monocrystalline silicon;

[0033] A photovoltaic panel data transmission module, the photovoltaic panel information transmission module is used to obtain the real-time single crystal silicon conversion efficiency data and the energy conversion loss data and upload them to the remote computer management center;

[0034] A conversion efficiency correlation analysis module, the conversion efficiency correlation analysis module is used to calculate the historical monocrystalline silicon conversion efficiency data and the historical energy conversion loss data uploaded by the working photovoltaic panel that meet the best power generation efficiency in the conversion efficiency change data supervision host and provide them to the energy conversion control module installed on the photovoltaic panel, wherein the best power generation efficiency is defined as the photovoltaic module power generation offset displayed by the historical monocrystalline silicon conversion efficiency data and the photovoltaic module power generation offset reflected by the real-time monocrystalline silicon conversion efficiency data are consistent, and the uploaded light intensity of the historical monocrystalline silicon conversion efficiency data meets the photovoltaic module power generation offset fluctuation range set in advance;

[0035] The photovoltaic panel energy conversion control module is used to control the energy conversion inverter of the photovoltaic panel when the photovoltaic power generation prediction system is working by using the historical energy conversion loss data that meets the optimal power generation efficiency.

[0036] Furthermore, the conversion efficiency correlation analysis module is arranged in the remote computer management center, or the conversion efficiency correlation analysis module is installed on the photovoltaic panel.

[0037] Furthermore, the photovoltaic panel energy conversion control module is also used to switch to the manual conversion control mode of the power center to control the energy conversion inverter of the photovoltaic panel when the conversion efficiency correlation analysis module fails to calculate the historical monocrystalline silicon conversion efficiency data and the historical energy conversion loss data that meet the optimal power generation efficiency.

[0038] Furthermore, the device also includes:

[0039] Photovoltaic panel wind inverter device, the photovoltaic panel wind inverter device is used to measure the AC / DC inverter of the photovoltaic panel;

[0040] The photovoltaic panel energy conversion control module is also used to obtain the AC / DC inverter measured by the photovoltaic panel wind inverter device and determine whether the photovoltaic panel has a short circuit / open circuit fault between the photovoltaic panel monocrystalline silicon and the photovoltaic component electrical equipment based on the AC / DC inverter. If a short circuit / open circuit fault occurs between the photovoltaic panel monocrystalline silicon and the photovoltaic component electrical equipment, the module switches to the manual conversion control mode of the power center to control the energy conversion inverter of the photovoltaic panel.

[0041] On the basis of being in accordance with the common sense in the art, the above-mentioned preferred conditions can be arbitrarily combined to obtain the preferred embodiments of the present invention.

[0042] Beneficial effects:

[0043] The present invention proposes an offset control method and an optimization device for photovoltaic power generation prediction, which can realize adaptive control of energy conversion work and energy conversion inverter by identifying the conversion efficiency of photovoltaic panels during energy conversion, thereby reducing the safety risk of photovoltaic panel energy conversion control and facilitating improving the service life and economy of related components of the energy conversion system, while avoiding the adverse effect of light intensity brought by the photovoltaic panel wind inverter device on the energy conversion control effect. The present invention improves the supervision efficiency of the photovoltaic power generation system and effectively enhances the operating efficiency of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a schematic flow chart of the control method of the present invention;

[0045] Figure 2 It is a schematic diagram of the module structure of the optimization device of the present invention. DETAILED DESCRIPTION

[0046] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application may be combined with each other. The present application is further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0047] According to the method based on conversion efficiency identification technology of the preferred embodiment of the present invention, in general, the state of the target photovoltaic panel monocrystalline silicon is identified, and the energy conversion inverter is adaptively controlled based on the identified photovoltaic component power generation offset, thereby achieving adaptive control of the energy conversion inverter of the photovoltaic panel at least to a certain extent.

[0048] like Figure 1 As shown, the offset control method for photovoltaic power generation prediction includes the following steps:

[0049] S1. Establishing a photovoltaic panel monocrystalline silicon conversion efficiency change data monitoring host in a remote computer management center, wherein the conversion efficiency change data monitoring host stores historical monocrystalline silicon conversion efficiency data and historical energy conversion loss data uploaded when the photovoltaic panel performs energy conversion work on the photovoltaic panel monocrystalline silicon;

[0050] S2, when the photovoltaic power generation prediction system is working, the current photovoltaic panel collects the real-time single crystal silicon conversion efficiency data of the single crystal silicon of the photovoltaic panel and uploads the acquired real-time single crystal silicon conversion efficiency data to the remote computer management center;

[0051] S3, calculating the historical monocrystalline silicon conversion efficiency data and the historical energy conversion loss data uploaded by the working photovoltaic panel that meet the best power generation efficiency in the conversion efficiency change data monitoring host, wherein the best power generation efficiency is defined as the photovoltaic module power generation offset displayed by the historical monocrystalline silicon conversion efficiency data and the photovoltaic module power generation offset reflected by the real-time monocrystalline silicon conversion efficiency data being consistent, and the uploaded light intensity of the historical monocrystalline silicon conversion efficiency data meets the photovoltaic module power generation offset fluctuation range set in advance;

[0052] S4. Use the historical energy conversion loss data that meets the optimal power generation efficiency to control the energy conversion inverter of the current photovoltaic panel, and upload the real-time single crystal silicon conversion efficiency data and energy conversion loss data collected by the current photovoltaic panel to the conversion efficiency change data monitoring host.

[0053] It should be understood that the step of establishing a conversion efficiency change data monitoring host in the implementation described herein is only for easier reading and understanding of the implementation of the method, and does not limit the step of establishing a conversion efficiency change data monitoring host to be performed every time the method is executed. In fact, it is easy to understand that, usually after the conversion efficiency change data monitoring host of the photovoltaic panel monocrystalline silicon is established, it is only necessary to update the stored related data and information and perform the usual necessary processing for a considerable period of time, without the need to establish the database again. In other words, for each photovoltaic panel that is in, close to, or about to enter the operation or approach stage of the photovoltaic power generation prediction system, the above method will execute the steps after establishing the conversion efficiency change data monitoring host of the photovoltaic panel monocrystalline silicon.

[0054] It should be understood that an example of the remote computer management center referred to herein is an electric energy server cluster platform, which can be built at a ground base station at a suitable location at an airport or directly at a tower. The electric energy server cluster platform can have a relatively large storage space and the ability to process complex conversion efficiency data, so that the collected large quantities of conversion efficiency data can be processed according to a preset algorithm to obtain the corresponding photovoltaic module power generation offset information, and has the function of transmitting and receiving signals or data.

[0055] In an embodiment using an electric energy server cluster platform, the conversion efficiency change data supervision host can be established on the electric energy server cluster platform, and the electric energy server cluster platform performs the steps of calculating the historical single crystal silicon conversion efficiency data and the historical energy conversion loss data that meet the optimal power generation efficiency, and then sends the historical energy conversion loss data that meets the optimal power generation efficiency to the energy conversion control system of the current photovoltaic panel, so that the energy conversion control system controls the energy conversion inverter. The advantage of this embodiment is that most of the algorithms that require a large amount of calculation will be concentrated on the ground electric energy server cluster platform for processing, and the burden on the onboard energy conversion control unit and related airborne systems can be reduced. Of course, it is understandable that part of the data processing is performed by the onboard energy conversion control unit without the need for a cloud processing platform, which is also feasible. This solution relatively reduces the intermediate links of using information related to the single crystal silicon conversion efficiency data to identify and control the energy conversion inverter, which may be beneficial to improving the processing efficiency and the reliability of adaptive control of energy conversion in some aspects.

[0056] It should be understood that the optimal power generation efficiency actually includes two conditions. One is the consistency or similarity to a certain extent of the monocrystalline silicon conversion efficiency data determined based on the identification of the monocrystalline silicon conversion efficiency data, which means that the photovoltaic module power generation offset reflected by the historical monocrystalline silicon conversion efficiency data is consistent with the photovoltaic module power generation offset reflected by the real-time monocrystalline silicon conversion efficiency data. The second is that the uploaded light intensity of the historical monocrystalline silicon conversion efficiency data meets the pre-set photovoltaic module power generation offset fluctuation range, for example, the covariance of the offset current light intensity does not exceed a certain photovoltaic module power generation offset fluctuation range.

[0057] Therefore, for example, the judgment logic is used to judge whether the data uploaded by the working photovoltaic panel meets the optimal power generation efficiency, that is, first determine whether the uploaded light intensity of the working photovoltaic panel data or the covariance of the generation time offset of the current light intensity exceeds a certain photovoltaic module power generation offset fluctuation range. If it exceeds, the data of the working photovoltaic panel is considered invalid. If it does not exceed, it is further determined based on the monocrystalline silicon conversion efficiency data whether the photovoltaic module power generation offset has not changed. If it is considered that the photovoltaic module power generation offset has changed, the data of the working photovoltaic panel is also considered invalid. If it is considered that the photovoltaic module power generation offset is still the same as before, the data from the working photovoltaic panel is considered valid, and the energy conversion inverter of the current photovoltaic panel can be further adaptively controlled based on the data of the working photovoltaic panel.

[0058] It should also be understood that the photovoltaic module power generation offset referred to herein may include a variety of pre-set or predefined photovoltaic module power generation compliance offset intervals, which are used to distinguish the set grid-connected time periods of various photovoltaic panel monocrystalline silicon that are different for energy conversion control. For example, the grid-connected time period is set according to the wind force level table, and can also be used to distinguish the photovoltaic panel monocrystalline silicon energy band width or photovoltaic module electrical equipment failure rate under different natural conditions. These different photovoltaic panel monocrystalline silicon grid-connected time periods and photovoltaic panel monocrystalline silicon energy band widths or photovoltaic module electrical equipment failure rates can be distinguished through some conversion efficiency change rules of monocrystalline silicon conversion efficiency data. On this basis, the photovoltaic module power generation offset reflected by the monocrystalline silicon conversion efficiency data referred to in the above description is consistent, which may refer to the processing and analysis of the conversion efficiency processing or identification algorithm or feature extraction algorithm set in advance, and the result is that a certain historical monocrystalline silicon conversion efficiency data and the real-time monocrystalline silicon conversion efficiency data reflect that the collected photovoltaic panel monocrystalline silicon belongs to the same predefined photovoltaic module power generation compliance offset range, that is, the photovoltaic panel monocrystalline silicon grid-connected period is the same, or on the basis of the same grid-connected period, the photovoltaic panel monocrystalline silicon energy band width or the photovoltaic module electrical equipment failure rate is also the same.

[0059] Based on the above considerations, according to some preferred embodiments of the present invention, the conversion efficiency change data monitoring host also stores conversion efficiency change laws extracted from the historical monocrystalline silicon conversion efficiency data based on a pre-set conversion efficiency change law extraction algorithm, and the conversion efficiency change laws include photovoltaic panel energy conversion damping change data and photovoltaic panel energy conversion meteorological and temperature change data.

[0060] Among them, more specifically, the photovoltaic panel energy conversion damping change data and the photovoltaic panel energy conversion meteorological and temperature change data may refer to visual features associated with the energy band width distribution, energy band width, energy band width depth and energy band width length of the photovoltaic panel monocrystalline silicon. In other words, the photovoltaic panel energy conversion damping change data and the photovoltaic panel energy conversion meteorological and temperature change data that can be extracted based on the conversion efficiency change law extraction algorithm can reflect or distinguish the energy band width of the photovoltaic panel monocrystalline silicon.

[0061] Preferably, in the above method, the step of calculating the historical single crystal silicon conversion efficiency data and the historical energy conversion loss data that meet the optimal power generation efficiency includes:

[0062] Extracting the conversion efficiency variation law contained in the real-time single crystal silicon conversion efficiency data using the conversion efficiency variation law extraction algorithm;

[0063] By comparing the conversion efficiency variation rules and uploading the light intensity, the historical single crystal silicon conversion efficiency data and the historical energy conversion loss data that meet the optimal power generation efficiency are calculated in the conversion efficiency variation data monitoring host.

[0064] The step of establishing a host computer for monitoring the conversion efficiency change data of photovoltaic panel monocrystalline silicon also includes:

[0065] The historical monocrystalline silicon conversion efficiency data stored in the conversion efficiency change data monitoring host is divided into compliance deviation intervals of different photovoltaic module power generation by utilizing the conversion efficiency change law; and the step of calculating the historical monocrystalline silicon conversion efficiency data and the historical energy conversion loss data that meet the optimal power generation efficiency also includes:

[0066] Determine the compliance deviation interval of the photovoltaic module power generation to which the real-time single crystal silicon conversion efficiency data belongs by using the conversion efficiency change rule contained in the real-time single crystal silicon conversion efficiency data;

[0067] The historical monocrystalline silicon conversion efficiency data and the historical energy conversion loss data are calculated in the conversion efficiency change data monitoring host, which have the same photovoltaic module power generation compliance offset interval as the real-time monocrystalline silicon conversion efficiency data and the covariance of the uploaded light intensity offset of the current light intensity does not exceed the photovoltaic module power generation offset fluctuation interval.

[0068] According to some preferred embodiments of the present invention, the historical energy conversion loss data includes the energy conversion inverter output to the energy conversion device. Preferably, the historical energy conversion loss data also includes photovoltaic cell efficiency loss, transmission and wiring loss, heat loss and hot spot effect information and AC / DC inverter. In some embodiments, the above method can be applied or combined with an existing energy conversion work control method, such as a method for passively controlling an energy conversion inverter based on heat loss and hot spot effect information.

[0069] The manual conversion control mode of the power center is called the "normal energy conversion mode", which is the existing energy conversion mode that can be adopted when the above-mentioned active energy conversion control method based on single crystal silicon conversion efficiency data identification fails. Typically, it can be, for example, the manual conversion control mode of the power center that controls the energy conversion inverter based on heat loss and hot spot effect information.

[0070] According to some preferred embodiments of the present invention, the method further comprises the following steps:

[0071] If the historical monocrystalline silicon conversion efficiency data and the historical energy conversion loss data that meet the optimal power generation efficiency cannot be calculated in the conversion efficiency change data monitoring host, the manual conversion control mode of the power center is switched to control the energy conversion inverter of the current photovoltaic panel, while the real-time monocrystalline silicon conversion efficiency data and energy conversion loss data collected by the current photovoltaic panel are still uploaded to the conversion efficiency change data monitoring host.

[0072] According to some preferred embodiments of the present invention, the method further comprises the following steps:

[0073] Monitor the AC / DC inverter of the current photovoltaic panel, and determine whether the current photovoltaic panel has a short circuit / open circuit fault between the photovoltaic panel monocrystalline silicon and the photovoltaic component electrical equipment based on the AC / DC inverter. If a short circuit / open circuit fault occurs between the photovoltaic panel monocrystalline silicon and the photovoltaic component electrical equipment, switch to the manual conversion control mode of the power center to control the energy conversion inverter of the current photovoltaic panel.

[0074] It should be understood that the current photovoltaic panels referred to above may generally refer to photovoltaic panels that have entered the energy conversion stage.

[0075] like Figure 2 As shown, according to some preferred embodiments of the present invention, an offset optimization device for photovoltaic power generation prediction can also be provided. The photovoltaic panel energy conversion work control system can include, on the one hand, a remote computer management center having a photovoltaic panel monocrystalline silicon conversion efficiency change data monitoring host, wherein the conversion efficiency change data monitoring host stores historical monocrystalline silicon conversion efficiency data and historical energy conversion loss data uploaded when the working photovoltaic panel performs energy conversion work on the photovoltaic panel monocrystalline silicon, and on the other hand, can also include multiple parts installed on the photovoltaic panel, including a conversion efficiency acquisition sensor, an energy conversion loss data integration module, an information transmission module, and an energy conversion control module.

[0076] The conversion efficiency acquisition sensor is used to collect the real-time single crystal silicon conversion efficiency data of the photovoltaic panel monocrystalline silicon when the photovoltaic panel is in the operation of the photovoltaic power generation prediction system. The energy conversion loss data integration module is used to collect the energy conversion loss data when the photovoltaic panel performs energy conversion work on the photovoltaic panel monocrystalline silicon. The information transmission module is used to obtain the real-time single crystal silicon conversion efficiency data and the energy conversion loss data and upload them to the remote computer management center.

[0077] The photovoltaic panel energy conversion working control system may also include a conversion efficiency correlation analysis module, which is used to calculate the historical monocrystalline silicon conversion efficiency data and the historical energy conversion loss data uploaded by the working photovoltaic panel that meet the optimal power generation efficiency in the conversion efficiency change data monitoring host and provide them to the energy conversion control module installed on the photovoltaic panel, wherein the optimal power generation efficiency is defined as the photovoltaic module power generation offset displayed by the historical monocrystalline silicon conversion efficiency data and the photovoltaic module power generation offset reflected by the real-time monocrystalline silicon conversion efficiency data are consistent, and the uploaded light intensity of the historical monocrystalline silicon conversion efficiency data meets the pre-set photovoltaic module power generation offset fluctuation range.

[0078] On this basis, the energy conversion control module on the photovoltaic panel will be able to obtain the historical energy conversion loss data that meets the optimal power generation efficiency and control the energy conversion inverter of the photovoltaic panel when the photovoltaic power generation prediction system is working based on this information.

[0079] According to some preferred embodiments of the present invention, the conversion efficiency correlation analysis module is arranged in the remote computer management center, or the conversion efficiency correlation analysis module is installed on a photovoltaic panel.

[0080] According to some preferred embodiments of the present invention, the photovoltaic panel energy conversion control module is also used to switch to the manual conversion control mode of the power center to control the energy conversion inverter of the photovoltaic panel when the conversion efficiency correlation analysis module fails to calculate the historical monocrystalline silicon conversion efficiency data and the historical energy conversion loss data that meet the optimal power generation efficiency.

[0081] According to some preferred embodiments of the present invention, the device further comprises:

[0082] Photovoltaic panel wind inverter device, the photovoltaic panel wind inverter device is used to measure the AC / DC inverter of the photovoltaic panel;

[0083] The photovoltaic panel energy conversion control module is also used to obtain the AC / DC inverter measured by the photovoltaic panel wind inverter device and determine whether the photovoltaic panel has a short circuit / open circuit fault between the photovoltaic panel monocrystalline silicon and the photovoltaic component electrical equipment based on the AC / DC inverter. If a short circuit / open circuit fault occurs between the photovoltaic panel monocrystalline silicon and the photovoltaic component electrical equipment, the module switches to the manual conversion control mode of the power center to control the energy conversion inverter of the photovoltaic panel.

[0084] Those skilled in the art should understand that the technical advantages of the photovoltaic panel energy conversion working control system based on the conversion efficiency identification technology according to the preferred embodiment as described above can be referred to the description of the method in the previous text, and some preferred settings in the control method described in the previous text are not mentioned when describing the photovoltaic panel energy conversion working control system here. This is mainly because the relevant preferred settings can be combined with the photovoltaic panel energy conversion working control system in a basically similar manner, and similar preferred effects can be achieved, so they will not be repeated here.

[0085] According to the offset control method and optimization device for photovoltaic power generation prediction of the present invention, it is possible to realize adaptive control of energy conversion work and energy conversion inverter at least to a certain extent by identifying the state of monocrystalline silicon of the target photovoltaic panel, thereby reducing the safety risk of photovoltaic panel energy conversion control and facilitating improving the service life and economy of related components of the energy conversion system.

[0086] Although the specific embodiments of the present invention are described above, those skilled in the art should understand that these are only examples, and the protection scope of the present invention is defined by the appended claims. Those skilled in the art may make various changes or modifications to these embodiments without departing from the principles and essence of the present invention, but these changes and modifications all fall within the protection scope of the present invention.

Claims

1. An offset control method for photovoltaic power generation prediction, characterized in that: The method includes: When the photovoltaic power generation prediction system is working, the current photovoltaic panel collects real-time single crystal silicon conversion efficiency data of the photovoltaic panel single crystal silicon, and uploads the acquired real-time single crystal silicon conversion efficiency data to a remote computer management center, wherein the remote computer management center includes a host computer for supervising the conversion efficiency change data of the photovoltaic panel single crystal silicon, and the host computer for supervising the conversion efficiency change data stores historical single crystal silicon conversion efficiency data and historical energy conversion loss data uploaded by the working photovoltaic panel when performing energy conversion work on the photovoltaic panel single crystal silicon; The historical monocrystalline silicon conversion efficiency data and the historical energy conversion loss data uploaded by the working photovoltaic panel that meet the best power generation efficiency are calculated in the conversion efficiency change data supervision host, wherein the best power generation efficiency is defined as the photovoltaic module power generation offset displayed by the historical monocrystalline silicon conversion efficiency data and the photovoltaic module power generation offset reflected by the real-time monocrystalline silicon conversion efficiency data being consistent, and the uploaded light intensity of the historical monocrystalline silicon conversion efficiency data meets the photovoltaic module power generation offset fluctuation range set in advance; The energy conversion inverter of the current photovoltaic panel is controlled using the historical energy conversion loss data that meets the optimal power generation efficiency, and the real-time single crystal silicon conversion efficiency data and energy conversion loss data collected by the current photovoltaic panel are uploaded to the conversion efficiency change data monitoring host.

2. The offset control method for photovoltaic power generation prediction according to claim 1, characterized in that: The conversion efficiency change data monitoring host also stores conversion efficiency change laws extracted from the historical single crystal silicon conversion efficiency data based on a pre-set conversion efficiency change law extraction algorithm, and the conversion efficiency change laws include photovoltaic panel energy conversion damping change data and photovoltaic panel energy conversion meteorological and temperature change data.

3. The offset control method for photovoltaic power generation prediction according to claim 2, characterized in that: The step of calculating the historical single crystal silicon conversion efficiency data and the historical energy conversion loss data that meet the optimal power generation efficiency comprises: Extracting the conversion efficiency variation law contained in the real-time single crystal silicon conversion efficiency data using the conversion efficiency variation law extraction algorithm; By comparing the conversion efficiency variation rules and uploading the light intensity, the historical single crystal silicon conversion efficiency data and the historical energy conversion loss data that meet the optimal power generation efficiency are calculated in the conversion efficiency variation data monitoring host.

4. The offset control method for photovoltaic power generation prediction according to claim 3, characterized in that: The method further comprises the step of forming the conversion efficiency change data monitoring host, and the step of forming the conversion efficiency change data monitoring host comprises: By using the conversion efficiency variation law, the historical monocrystalline silicon conversion efficiency data stored in the conversion efficiency variation data monitoring host is divided into compliance deviation intervals of power generation of different photovoltaic modules; The step of calculating the historical single crystal silicon conversion efficiency data and the historical energy conversion loss data that meet the optimal power generation efficiency also includes: Determine the compliance deviation interval of the photovoltaic module power generation to which the real-time single crystal silicon conversion efficiency data belongs by using the conversion efficiency change rule contained in the real-time single crystal silicon conversion efficiency data; The historical monocrystalline silicon conversion efficiency data and the historical energy conversion loss data are calculated in the conversion efficiency change data monitoring host, which have the same photovoltaic module power generation compliance offset interval as the real-time monocrystalline silicon conversion efficiency data and the covariance of the uploaded light intensity offset of the current light intensity does not exceed the photovoltaic module power generation offset fluctuation interval.

5. The offset control method for photovoltaic power generation prediction according to claim 4, characterized in that: The compliance deviation intervals of different photovoltaic module power generation amounts involve the deviations of photovoltaic module power generation amounts in set grid-connected time periods under different natural conditions; The compliance deviation range of power generation of different photovoltaic modules involves the energy band width of monocrystalline silicon of photovoltaic panels or the failure rate of electrical equipment of photovoltaic modules under different natural conditions.

6. The offset control method for photovoltaic power generation prediction according to claim 1, characterized in that: The historical energy conversion loss data includes output to an energy conversion inverter of an energy conversion device; The historical energy conversion loss data also includes photovoltaic cell efficiency loss, transmission and wiring loss, heat loss and hot spot effect information, and AC / DC inverter.

7. The offset control method for photovoltaic power generation prediction according to claim 1, characterized in that: The method further includes: If the historical monocrystalline silicon conversion efficiency data and the historical energy conversion loss data that meet the optimal power generation efficiency cannot be calculated in the conversion efficiency change data monitoring host, the manual conversion control mode of the power center is switched to control the energy conversion inverter of the current photovoltaic panel, while the real-time monocrystalline silicon conversion efficiency data and energy conversion loss data collected by the current photovoltaic panel are still uploaded to the conversion efficiency change data monitoring host.

8. The offset control method for photovoltaic power generation prediction according to claim 1, characterized in that: The method further includes: Monitor the AC / DC inverter of the current photovoltaic panel, and determine whether the current photovoltaic panel has a short circuit / open circuit fault between the photovoltaic panel monocrystalline silicon and the photovoltaic component electrical equipment based on the AC / DC inverter. If a short circuit / open circuit fault occurs between the photovoltaic panel monocrystalline silicon and the photovoltaic component electrical equipment, switch to the manual conversion control mode of the power center to control the energy conversion inverter of the current photovoltaic panel.

9. The offset control method for photovoltaic power generation prediction according to claim 1, characterized in that: A conversion efficiency change data monitoring host is established on the power server cluster platform, and the power server cluster platform executes the steps of calculating the historical monocrystalline silicon conversion efficiency data and the historical energy conversion loss data that meet the optimal power generation efficiency, and then sends the historical energy conversion loss data that meets the optimal power generation efficiency to the energy conversion control system of the current photovoltaic panel, so that the energy conversion control system controls the energy conversion inverter.

10. An offset optimization device for photovoltaic power generation prediction, characterized in that: The device includes: a remote computer management center, a photovoltaic panel conversion efficiency acquisition platform, a photovoltaic panel energy conversion loss data integration module, a photovoltaic panel data transmission module, a conversion efficiency correlation analysis module, a photovoltaic panel energy conversion regulation module, a photovoltaic panel wind inverter device, a photovoltaic panel information transmission module, and a photovoltaic panel energy conversion control module; The remote computer management center has a photovoltaic panel monocrystalline silicon conversion efficiency change data monitoring host, and the conversion efficiency change data monitoring host stores historical monocrystalline silicon conversion efficiency data and historical energy conversion loss data uploaded when the working photovoltaic panel performs energy conversion work on the photovoltaic panel monocrystalline silicon; The photovoltaic panel conversion efficiency acquisition platform is used to collect real-time single crystal silicon conversion efficiency data of the photovoltaic panel single crystal silicon when the photovoltaic panel is in the operation of the photovoltaic power generation prediction system; The photovoltaic panel energy conversion loss data integration module is used to collect energy conversion loss data when the photovoltaic panel performs energy conversion work on the photovoltaic panel monocrystalline silicon; The photovoltaic panel information transmission module is used to obtain the real-time single crystal silicon conversion efficiency data and the energy conversion loss data and upload them to the remote computer management center; The conversion efficiency correlation analysis module is used to calculate the historical monocrystalline silicon conversion efficiency data and the historical energy conversion loss data uploaded by the working photovoltaic panel that meet the best power generation efficiency in the conversion efficiency change data supervision host and provide them to the energy conversion control module installed on the photovoltaic panel, wherein the best power generation efficiency is defined as the photovoltaic module power generation offset displayed by the historical monocrystalline silicon conversion efficiency data and the photovoltaic module power generation offset reflected by the real-time monocrystalline silicon conversion efficiency data are consistent, and the uploaded light intensity of the historical monocrystalline silicon conversion efficiency data meets the photovoltaic module power generation offset fluctuation range set in advance; The photovoltaic panel energy conversion control module is used to control the energy conversion inverter of the photovoltaic panel when the photovoltaic power generation prediction system is working by using the historical energy conversion loss data that meets the optimal power generation efficiency; The photovoltaic panel energy conversion control module is used to obtain the AC / DC inverter measured by the photovoltaic panel wind inverter device and determine whether the photovoltaic panel has a short circuit / open circuit fault between the photovoltaic panel monocrystalline silicon and the photovoltaic component electrical equipment based on the AC / DC inverter. If a short circuit / open circuit fault occurs between the photovoltaic panel monocrystalline silicon and the photovoltaic component electrical equipment, the module switches to the manual conversion control mode of the power center to control the energy conversion inverter of the photovoltaic panel.

Images