Distributed photovoltaic power generation evaluation control method and device

Abstract

A distributed photovoltaic power generation evaluation and control method and device, which instantly obtains the real-time photovoltaic panel information of the distributed photovoltaic power station during the photovoltaic panel power generation period; obtains basic parameters, and jointly calculates the basic parameters and the real-time photovoltaic panel information to obtain the power generation misalignment parameters; derives the power generation status of the photovoltaic panel based on the power generation misalignment parameters, where the power generation status of the equipment includes a reasonable status and an abnormal status; displays an abnormal message under the abnormal status, and stores the abnormal message; through the analysis of the real-time photovoltaic panel information, the power generation misalignment value of the photovoltaic panel can be derived, and the power generation misalignment value is analyzed during the reasonable power generation of the photovoltaic panel, so as to determine the arrangement rule of the power generation misalignment value, and then executes different estimation processes according to its different arrangement rules, so as to evaluate the power generation status of the photovoltaic panel, so as to instantly find out the reliability deficiencies of the photovoltaic panel, and can provide an effective guarantee for the reliable power generation of the photovoltaic panel.

Description

Technical Field

[0001] The present invention belongs to the technical field of distributed photovoltaic power generation evaluation, and in particular relates to a distributed photovoltaic power generation evaluation control method and device. Background Art

[0002] The characteristics of distributed photovoltaic power generation include decentralization, flexibility and renewability. This power generation method can reduce the loss of power transmission and distribution, improve power generation efficiency and economic benefits, and is also more environmentally friendly. In addition, distributed photovoltaic power generation also has the characteristics of relatively small output power, less pollution, and outstanding environmental benefits.

[0003] To evaluate the distributed photovoltaic power station that performs distributed photovoltaic power generation, it is often necessary to use the existing technical solution with patent publication number "CN106230112A" to achieve it, which specifically includes providing a current transmitter, a voltage transmitter and a light intensity transmitter connected to a microcomputer processor on the photovoltaic panels of the distributed photovoltaic power station, respectively sampling the current value, voltage value and photovoltaic panel attenuation value of the photovoltaic panels of the distributed photovoltaic power station, and the current value, voltage value and photovoltaic panel attenuation value of the photovoltaic panels of the distributed photovoltaic power station are the photovoltaic panel information, and the sampled photovoltaic panel information is transmitted to the microcomputer processor for display.

[0004] At present, the sampling of photovoltaic panel information transmitted to the microcomputer processor for execution and display generally involves timeliness and accuracy. Even if the photovoltaic panel failure can be detected and repaired at the starting point of the photovoltaic panel failure, many of the losses caused by the photovoltaic panel failure cannot be repaired. Before the photovoltaic panel failure, there must be relevant signs in the sampled photovoltaic panel information, which shows that the reliability of photovoltaic panel power generation is insufficient. However, because the photovoltaic panel power generation is affected by many factors, its power generation often has fluctuations. The current method is to evaluate the photovoltaic panel status based on the power generation trend of the photovoltaic panel. However, during the photovoltaic panel power generation, its power generation load often remains constant for a period of time, and often has fluctuations, which will cause the sampled photovoltaic panel information to have significant fluctuations. At this time, the trend evaluation is inaccurate. Summary of the invention

[0005] In order to solve the defects in the prior art, the present invention proposes a distributed photovoltaic power generation evaluation control method and device, which instantly obtains the real-time photovoltaic panel information of the distributed photovoltaic power station during the photovoltaic panel power generation period; obtains basic parameters, and jointly calculates the basic parameters and the real-time photovoltaic panel information to obtain the power generation misalignment parameters; derives the power generation status of the photovoltaic panel according to the power generation misalignment parameters, where the power generation status of the equipment includes a reasonable status and an abnormal status; displays an abnormal message under the abnormal status, and stores the abnormal message; through the analysis of the real-time photovoltaic panel information, the power generation misalignment value of the photovoltaic panel can be derived, and the power generation misalignment value is analyzed during the reasonable power generation of the photovoltaic panel, so as to determine the arrangement rule of the power generation misalignment value, and then executes different estimation processes according to its different arrangement rules, so as to evaluate the power generation status of the photovoltaic panel, so as to detect the reliability deficiency of the photovoltaic panel in real time, and can provide an effective guarantee for the reliable power generation of the photovoltaic panel.

[0006] The present invention utilizes the following technical solutions.

[0007] A distributed photovoltaic power generation evaluation and control method, comprising:

[0008] The current transmitter, voltage transmitter and light intensity transmitter respectively sample the current value, voltage value and photovoltaic panel attenuation value of the photovoltaic panel of the distributed photovoltaic power station. The current value, voltage value and photovoltaic panel attenuation value of the photovoltaic panel of the distributed photovoltaic power station are the photovoltaic panel information, and the sampled photovoltaic panel information is transmitted to the microcomputer processor for display and evaluation;

[0009] A method for performing an evaluation on a microcomputer processor, running on a microcomputer processor, comprises:

[0010] Real-time acquisition of real-time photovoltaic panel information during the photovoltaic panel power generation period of distributed photovoltaic power stations;

[0011] Obtain basic parameters, and perform joint calculations on the basic parameters and real-time photovoltaic panel information to obtain power generation misalignment parameters;

[0012] The power generation status of the photovoltaic panel is derived according to the power generation misalignment parameter. Here, the power generation status of the equipment includes a reasonable status and an abnormal status;

[0013] In an abnormal situation, an abnormal message is displayed and stored.

[0014] A distributed photovoltaic power generation evaluation and control device, comprising:

[0015] A current transmitter, a voltage transmitter and a light intensity transmitter connected to a microcomputer processor are arranged on the photovoltaic panels of the distributed photovoltaic power station. The current transmitter, the voltage transmitter and the light intensity transmitter are used to sample the current value, the voltage value and the attenuation value of the photovoltaic panels of the distributed photovoltaic power station respectively. The current value, the voltage value and the attenuation value of the photovoltaic panels of the distributed photovoltaic power station are the photovoltaic panel information, and the sampled photovoltaic panel information is transmitted to the microcomputer processor for display and evaluation;

[0016] The modules running on the microcomputer processor include:

[0017] An information acquisition module, which is used to instantly acquire real-time photovoltaic panel information of a distributed photovoltaic power station during the photovoltaic panel power generation period;

[0018] An information estimation module is used to obtain basic parameters and jointly calculate the basic parameters and the real-time photovoltaic panel information to obtain the power generation misalignment parameters;

[0019] An information evaluation module is used to derive the power generation status of the photovoltaic panel based on the power generation misalignment parameter. Here, the power generation status of the equipment includes a reasonable status and an abnormal status;

[0020] The notification module is used to display an abnormal message under an abnormal condition and store the abnormal message.

[0021] Preferably, the real-time photovoltaic panel information includes the current value, voltage value and photovoltaic panel attenuation value of the photovoltaic panel obtained in real time.

[0022] Preferably, the information estimation module comprises a detection submodule and a derivation submodule, the detection submodule is used to construct a detection interval, and obtain the past photovoltaic panel information and the current photovoltaic panel information in the detection interval, and combine them into a raw information group;

[0023] The derivation submodule is used to perform alienation processing on the current photovoltaic panel information and basic parameters to obtain alienated values, and derive the alienated values ​​as power generation dislocation parameters.

[0024] Preferably, the start time of photovoltaic panel power generation is taken as the starting point of the detection time interval. In this time interval, past photovoltaic panel information and current photovoltaic panel information will be obtained. The past photovoltaic panel information is the photovoltaic panel information collected before, and the current photovoltaic panel information is the photovoltaic panel information collected now. The past photovoltaic panel information is the current photovoltaic panel information in the past.

[0025] Preferably, power generation misalignment parameter = basic parameter - current photovoltaic panel information.

[0026] Preferably, the information estimation module further comprises a comparison submodule, which is executed after the power generation misalignment parameter is derived, and is used to arrange the power generation misalignment parameter according to the derived time point, and register the power generation misalignment parameter corresponding to each photovoltaic panel information in the detection time interval as the parameter to be compared;

[0027] A pair of adjacent parameters to be compared is regarded as a cluster, and a comparison mode is enabled in the comparison submodule, and then the parameters to be compared in each cluster are sent to the comparison mode to obtain the arrangement rule of the power generation dislocation parameters;

[0028] Here, the arrangement rules include traceable arrangement and non-traceable arrangement.

[0029] Preferably, the method of sending the parameters to be compared of each cluster into the comparison mode and obtaining the arrangement rule of the power generation dislocation parameters includes:

[0030] Obtain all parameters to be compared in the detection time interval;

[0031] After the calibration equation is activated in the comparison mode, all the parameters to be compared are then sent to the calibration equation, and the derived values ​​are registered as the calibration parameters;

[0032] The comparison equation is activated in the comparison mode, and the calibration parameters and the parameters to be compared of each cluster are sent to the comparison equation to obtain the comparison offset, and the arrangement rule of the power generation offset parameters is adapted according to the comparison offset.

[0033] Preferably, the calibration equation is as follows:

[0034] ,

[0035] In the equation, Represents the standard parameter, Represents the time interval of the detection time interval, and Represents a pair of adjacent parameters to be compared. Represents the number of parameters to be compared; the comparison equation is as follows:

[0036] ,

[0037] In the equation, Represents the amount of deviation. Represents the parameters to be compared within the same cluster. Represents the parameters to be compared within the same cluster. Represents the sampling time interval between photovoltaic panels corresponding to the parameters to be compared in the same cluster.

[0038] Preferably, when the arrangement rule of the power generation misalignment parameter is adapted according to the comparison misalignment amount, the allowable misalignment threshold amount is enabled in the comparison mode, and the allowable misalignment threshold amount is compared with the comparison misalignment amount, and then all the comparison misalignments that are higher than the allowable misalignment threshold amount are selected, and their proportion in all the comparison misalignments is registered as the parameter to be evaluated;

[0039] The method of enabling the allowed misalignment threshold in the comparison mode and comparing the allowed misalignment threshold with the comparison misalignment includes:

[0040] If the comparison critical value is higher than the parameter to be evaluated, the arrangement method of the corresponding power generation dislocation parameter is registered as a traceable arrangement;

[0041] If the comparison critical quantity is not higher than the parameter to be evaluated, the arrangement method of the corresponding power generation dislocation parameter will be registered as an untraceable arrangement.

[0042] Preferably, the information evaluation module comprises an estimation subunit 1 and an estimation subunit 2, wherein the estimation subunit 1 is used to estimate the power generation misalignment parameter under a traceable arrangement, and the estimation subunit 2 is used to estimate the power generation misalignment parameter under an untraceable arrangement;

[0043] Here, when the estimation subunit is executed, the estimation equation is activated, and the current photovoltaic panel information and the standard parameters are sent to the estimation equation to obtain the evaluation parameters, and then the evaluation parameters are compared with the basic parameters;

[0044] If the evaluation parameter is not lower than the basic parameter, the power generation status of the photovoltaic panel is registered as an abnormal status, and an abnormal message is generated and transmitted to the notification module;

[0045] If the evaluation parameter is lower than the basic parameter, the power generation status of the photovoltaic panel is registered as a reasonable status.

[0046] Preferably, the estimation equation is as follows:

[0047] ,

[0048] In the equation, represents the evaluation parameter, Represents the current photovoltaic panel information, It represents the reliable execution time. If the evaluation parameter is not lower than the basic parameter, the power generation status of the photovoltaic panel is registered as an abnormal status. Otherwise, if the evaluation parameter is lower than the basic parameter, it means that the power generation status of the photovoltaic panel is within a reasonable range, and the power generation status of the photovoltaic panel is registered as a reasonable status.

[0049] When the estimation subunit 2 is executed, the past photovoltaic panel information in the original information group is obtained, and the current entity information is recorded, and then the entity information is moved according to the reliable execution time to obtain the sample information;

[0050] Obtain the past photovoltaic panel information under each entity information and sample information, and register the entity parameters and sample parameters respectively;

[0051] The setting range is activated in the estimation subunit 2, and the past photovoltaic panel information is selected and processed according to the current photovoltaic panel information and the setting range to obtain the selected parameters, and then the number of the selected parameters is counted and registered as the parameters to be estimated;

[0052] Enable estimation of critical quantities and perform comparison with the parameters to be estimated;

[0053] If the parameter to be estimated is not lower than the estimation threshold, the proportion of sample parameters that are higher than the basic parameter is summed up and registered as the abnormal body rate;

[0054] Enable the set abnormality rate (the set market rate is a positive number less than 1 determined according to actual requirements), then compare it with the abnormal body rate, and when the abnormal body rate is higher than the set abnormality rate, register the power generation status of the photovoltaic panel as an abnormal status, otherwise, register the power generation status of the photovoltaic panel as a reasonable status;

[0055] If the parameter to be estimated is lower than the estimated critical value, when any sample parameter is higher than the basic parameter, the power generation status of the photovoltaic panel is registered as an abnormal status, otherwise, the power generation status of the photovoltaic panel is registered as a reasonable status.

[0056] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include:

[0057] By analyzing the real-time photovoltaic panel information, the power generation misalignment value of the photovoltaic panel can be derived, and the power generation misalignment value can be analyzed during the period of reasonable power generation of the photovoltaic panel to determine the arrangement rule of the power generation misalignment value, and then different estimation processes are performed according to its different arrangement rules to evaluate the power generation status of the photovoltaic panel, so as to detect the reliability deficiencies of the photovoltaic panel in real time and provide an effective guarantee for the reliable power generation of the photovoltaic panel. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 is a flow chart of the distributed photovoltaic power generation evaluation and control method described in the present invention;

[0059] Figure 2 It is a partial structural schematic diagram of the distributed photovoltaic power generation evaluation and control device described in the present invention. DETAILED DESCRIPTION

[0060] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely expressed in combination with the drawings in the embodiments of the present invention. The embodiments expressed in this application are only part of the embodiments of the present invention, not all of them. According to the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the protection scope of the present invention.

[0061] like Figure 1 As shown, a distributed photovoltaic power generation evaluation and control method according to the present invention comprises:

[0062] The current transmitter, voltage transmitter and light intensity transmitter respectively sample the current value, voltage value and photovoltaic panel attenuation value of the photovoltaic panel of the distributed photovoltaic power station. The current value, voltage value and photovoltaic panel attenuation value of the photovoltaic panel of the distributed photovoltaic power station are the photovoltaic panel information, and the sampled photovoltaic panel information is transmitted to the microcomputer processor for display and evaluation;

[0063] A method for performing an evaluation on a microcomputer processor, running on a microcomputer processor, comprises:

[0064] Real-time acquisition of real-time photovoltaic panel information during the photovoltaic panel power generation period of distributed photovoltaic power stations;

[0065] Obtain basic parameters, and perform joint calculations on the basic parameters and real-time photovoltaic panel information to obtain power generation misalignment parameters;

[0066] The power generation status of the photovoltaic panel is derived according to the power generation misalignment parameter. Here, the power generation status of the equipment includes a reasonable status and an abnormal status;

[0067] In an abnormal situation, an abnormal message is displayed and stored.

[0068] like Figure 2 As shown, a distributed photovoltaic power generation evaluation and control device according to the present invention comprises:

[0069] A current transmitter, a voltage transmitter and a light intensity transmitter connected to a microcomputer processor are arranged on the photovoltaic panels of the distributed photovoltaic power station. The current transmitter, the voltage transmitter and the light intensity transmitter are used to sample the current value, the voltage value and the attenuation value of the photovoltaic panels of the distributed photovoltaic power station respectively. The current value, the voltage value and the attenuation value of the photovoltaic panels of the distributed photovoltaic power station are the photovoltaic panel information, and the sampled photovoltaic panel information is transmitted to the microcomputer processor for display and evaluation;

[0070] The modules running on the microcomputer processor include:

[0071] An information acquisition module, which is used to instantly acquire real-time photovoltaic panel information of a distributed photovoltaic power station during the photovoltaic panel power generation period;

[0072] In a preferred but non-limiting embodiment of the present invention, the real-time photovoltaic panel information includes the current value, voltage value and photovoltaic panel attenuation value of the photovoltaic panel obtained in real time.

[0073] An information estimation module is used to obtain basic parameters and jointly calculate the basic parameters and the real-time photovoltaic panel information to obtain the power generation misalignment parameters;

[0074] An information evaluation module is used to derive the power generation status of the photovoltaic panel based on the power generation misalignment parameter. Here, the power generation status of the equipment includes a reasonable status and an abnormal status;

[0075] The notification module is used to display an abnormal message under an abnormal condition and store the abnormal message.

[0076] In the present application, in the photovoltaic panel power generation of distributed photovoltaic power stations, reliable power generation has always been an important link in the photovoltaic panel power generation of distributed photovoltaic power stations. The current reliable power generation control generally relies on manual inspection and regular inspection. This type of method is not only inefficient, but also difficult to achieve real-time evaluation and advance notification. The present application achieves reliable evaluation and information analysis of the power generation process of the photovoltaic panels of the distributed photovoltaic power station through an information acquisition module, an information estimation module, an information evaluation module and a notification module to improve the reliability and efficiency of the power generation process. The information acquisition module is an important link in the present application. The information acquisition module includes real-time collection of current, voltage and photovoltaic panel attenuation values ​​of the photovoltaic panels of the distributed photovoltaic power station during power generation transmitted by current sensors, voltage sensors and photovoltaic panel attenuation value sensors. It collects important parameters during power generation, namely current, voltage and photovoltaic panel attenuation values. Such real-time photovoltaic panel information is used to identify the power generation status of the photovoltaic panels. The information estimation module is used to obtain the pre-defined basic parameters (the basic parameters can be the photovoltaic panel information when the photovoltaic panel is generating electricity without fault, and the basic parameters can also be the photovoltaic panel information defined according to actual requirements), and compare and calculate the basic parameters with the real-time photovoltaic panel information to obtain the power generation misalignment parameters, so that the microcomputer processor can detect the abnormal conditions during power generation in real time and provide a basis for subsequent treatment. Then the information evaluation module evaluates the power generation status of the photovoltaic panel according to the power generation misalignment parameters. The evaluation value includes the reasonable condition and abnormal condition of the photovoltaic panel, which is conducive to the controller to grasp the power generation status of the photovoltaic panel and take repair measures in time to ensure the reliability of the power generation process. Finally, when the notification module detects the abnormal condition, it will immediately display the abnormal message (just like the text message of the abnormal power generation of the photovoltaic panel) to inform the controller to repair the photovoltaic panel, and the microcomputer processor also stores the abnormal message to form a backup.

[0077] In a preferred but non-limiting embodiment of the present invention, the information estimation module includes a detection submodule and a derivation submodule, the detection submodule is used to construct a detection interval, and obtain the past photovoltaic panel information and the current photovoltaic panel information in the detection interval, and combine them into a raw information group;

[0078] The derivation submodule is used to perform alienation processing on the current photovoltaic panel information and basic parameters to obtain alienated values, and derive the alienated values ​​as power generation dislocation parameters.

[0079] In a preferred but non-restrictive implementation of the present invention, the detection submodule is first allowed to construct a detection time interval, which sets the evaluation scope of the information. The start time of photovoltaic panel power generation is often used as the starting point of the detection time interval. In this time interval, past photovoltaic panel information and current photovoltaic panel information are obtained. Past photovoltaic panel information is the photovoltaic panel information collected before, and the current photovoltaic panel information is the photovoltaic panel information collected now. Past photovoltaic panel information is the current photovoltaic panel information collected now.

[0080] In a preferred but non-restrictive embodiment of the present invention, the detection submodule arranges and combines the past photovoltaic panel information and the current photovoltaic panel information according to the sequence of their sampling time points to form a primitive information group, which is suitable for accurately evaluating the power generation status of the photovoltaic panel. Then, the derivation submodule is used to process the current photovoltaic panel information and the basic parameters. The process is to calculate the power generation misalignment parameter (power generation misalignment parameter = basic parameter - current photovoltaic panel information) through alienation value calculation. The power generation misalignment parameter is the amount obtained by subtracting the current photovoltaic panel information from the basic parameter at each current time point (including the previous current time point, that is, the past and the current current time point) of the primitive information group according to the sequence of time points. The power generation misalignment parameter presents the difference between the power generation status of the photovoltaic panel and the basic status. It is very important to detect the hidden faults of the photovoltaic panel and evaluate the efficiency of power generation. This allows the controller to view and analyze it, which is suitable for real-time detection and the use of relevant methods to ensure the reliable power generation of the photovoltaic panel.

[0081] In a preferred but non-limiting embodiment of the present invention, the information estimation module further includes a comparison submodule, which is executed after the power generation misalignment parameter is derived (that is, calculated), and is used to arrange the power generation misalignment parameter according to the derived time point, and register the corresponding power generation misalignment parameter obtained by subtracting each photovoltaic panel information in the detection time interval from the basic parameter as the parameter to be compared;

[0082] A pair of adjacent parameters to be compared is regarded as a cluster, and a comparison mode is enabled in the comparison submodule, and then the parameters to be compared in each cluster are sent to the comparison mode to obtain the arrangement rule of the power generation dislocation parameters;

[0083] Here, the arrangement rules include traceable arrangement and non-traceable arrangement.

[0084] In this application, in order to achieve information evaluation more effectively, a comparison submodule is also set up in the information estimation module. After the power generation misalignment parameters are exported, these parameters will be arranged according to the export time point. On this basis, the comparison submodule will face the information of each photovoltaic panel in the detection time interval, which is conducive to more accurate acquisition and analysis of the power generation misalignment parameters. Then the comparison submodule will register the power generation misalignment parameters under each photovoltaic panel information as the parameters to be compared. The operation of the comparison submodule is not limited to the comparison of a single photovoltaic panel information, but uses a method of using a pair of adjacent parameters to be compared as a cluster to perform. The purpose is to more accurately identify the arrangement rules of power generation misalignment parameters by comparing the misalignment conditions of adjacent parameters, which is achieved through a comparison mode. After the comparison mode is executed, the arrangement rules of power generation misalignment parameters will be obtained. The arrangement method includes two types of conditions: traceable arrangement and untraceable arrangement. The traceable arrangement refers to the traceable changes of power generation misalignment parameters in a range, while the untraceable arrangement means that the misalignment parameters show untraceable changes in different ranges. These two types of arrangement methods are suitable for grasping the power generation misalignment conditions, so as to tendentiously evaluate the conditions of photovoltaic panels.

[0085] In a preferred but non-limiting embodiment of the present invention, the method of sending the parameters to be compared of each cluster into the comparison mode and obtaining the arrangement rule of the power generation dislocation parameters includes:

[0086] Obtain all parameters to be compared in the detection time interval;

[0087] After the calibration equation is activated in the comparison mode, all the parameters to be compared are then sent to the calibration equation, and the derived values ​​are registered as the calibration parameters;

[0088] The comparison equation is activated in the comparison mode, and the calibration parameters and the parameters to be compared of each cluster are sent to the comparison equation to obtain the comparison offset, and the arrangement rule of the power generation offset parameters is adapted according to the comparison offset.

[0089] In a preferred but non-limiting embodiment of the present invention, when the comparison mode is executed, all the parameters to be compared in the detection interval are first sent to the calibration equation as the calculation basis. Here, the calibration equation is as follows:

[0090] ,

[0091] In the equation, Represents the standard parameter, Represents the time interval of the detection time interval, and Represents a pair of adjacent parameters to be compared. Represents the number of parameters to be compared; according to this equation, the standard parameters can be determined first, and then the comparison deviation can be determined according to the comparison equation. Here, the comparison equation is as follows:

[0092] ,

[0093] In the equation, Represents the amount of deviation. Represents the parameters to be compared within the same cluster. Represents the parameters to be compared within the same cluster. The sampling time intervals between photovoltaic panels corresponding to the parameters to be compared in the same cluster represent the size of the sampling time intervals. After the comparison deviation is determined, the adaptation operation of the arrangement rule can be directly executed to provide information support for evaluating the status of the photovoltaic panels.

[0094] In a preferred but non-limiting embodiment of the present invention, when the arrangement rule of the power generation misalignment parameter is adapted according to the comparison misalignment amount, the allowable misalignment threshold amount is enabled in the comparison mode, and the allowable misalignment threshold amount is compared with the comparison misalignment amount, and then all the comparison misalignments that are higher than the allowable misalignment threshold amount are selected, and their proportion in the total comparison misalignments (the proportion is the amount obtained by dividing the total number of comparison misalignments that are higher than the allowable misalignment threshold amount by the total number of comparison misalignments) is registered as the parameter to be evaluated;

[0095] The method of enabling the allowed misalignment threshold in the comparison mode and comparing the allowed misalignment threshold with the comparison misalignment includes:

[0096] If the comparison critical value is higher than the parameter to be evaluated, the arrangement method of the corresponding power generation dislocation parameter is registered as a traceable arrangement;

[0097] If the comparison threshold is not higher than the parameter to be evaluated, the corresponding power generation dislocation parameter arrangement method is registered as an untraceable arrangement. The allowable dislocation threshold can be determined according to actual requirements.

[0098] In the above, during the period of adapting the arrangement rule of the power generation dislocation parameters according to the comparison dislocation amount, the allowed dislocation critical amount is first activated in the comparison mode, and then the allowed dislocation critical amount and the comparison dislocation amount are compared, so that all the comparison dislocation amounts that are higher than the allowed dislocation critical amount can be selected, and then the proportion of such comparison dislocation amounts that are higher than the allowed dislocation critical amount in the total comparison dislocation amounts is calculated, and the proportion is used as the parameter to be evaluated, which is used to measure the arrangement rule of the power generation dislocation parameters, and then the comparison critical amount is obtained in the comparison mode. The comparison critical amount is the primary parameter for evaluating whether the parameter to be evaluated meets the arrangement rule of the power generation dislocation parameters. The quantity is compared with the parameter to be evaluated, and the arrangement method of the corresponding power generation dislocation parameters is determined to be a traceable arrangement or an untraceable arrangement. If the comparison critical quantity is higher than the parameter to be evaluated, it means that the misalignment of the parameter to be evaluated is within the allowed range, and the corresponding arrangement method of the power generation dislocation parameters is a traceable arrangement. This situation represents that the photovoltaic panel power generation is reliable and meets the reasonable power generation requirements. However, if the comparison critical quantity is not higher than the parameter to be evaluated, it means that the misalignment of the parameter to be evaluated is outside the allowed range, and the corresponding arrangement method of the power generation dislocation parameters is an untraceable arrangement, thereby providing corresponding information support for the execution of the information evaluation module.

[0099] In a preferred but non-limiting embodiment of the present invention, the information evaluation module includes an estimation subunit 1 and an estimation subunit 2, wherein the estimation subunit 1 is used to estimate the power generation misalignment parameter under a traceable arrangement, and the estimation subunit 2 is used to estimate the power generation misalignment parameter under an untraceable arrangement;

[0100] Here, when the estimation subunit is executed, the estimation equation is activated, and the current photovoltaic panel information and the standard parameters are sent to the estimation equation to obtain the evaluation parameters, and then the evaluation parameters are compared with the basic parameters;

[0101] If the evaluation parameter is not lower than the basic parameter, the power generation status of the photovoltaic panel is registered as an abnormal status, and an abnormal message is generated and transmitted to the notification module;

[0102] If the evaluation parameter is lower than the basic parameter, the power generation status of the photovoltaic panel is registered as a reasonable status.

[0103] In a preferred but non-limiting embodiment of the present invention, during the photovoltaic panel power generation period, the operation of the estimation subunit 1 is to detect the power generation status of the photovoltaic panel in real time, and to evaluate the function of the photovoltaic panel by enabling the estimation equation. To ensure the accuracy of the estimation, the current photovoltaic panel information and the standard parameters are sent to the estimation equation, and the estimation equation can deduce the evaluation parameters to evaluate the future power generation status of the photovoltaic panel. Here, the estimation equation is as follows:

[0104] ,

[0105] In the equation, represents the evaluation parameter, Represents the current photovoltaic panel information, Represents the reliable execution time (the reliable execution time is the sampling interval of the photovoltaic panel (that is, the time interval between two samplings of the photovoltaic panel information) times, is a natural number greater than 2, and its value can be determined according to actual requirements). After obtaining the evaluation parameters, compare them with the basic parameters to determine the power generation status of the photovoltaic panels. If the evaluation parameters are not lower than the basic parameters, it means that the power generation status of the photovoltaic panels is out of the reasonable range, and the power generation status of the photovoltaic panels can be registered as an abnormal state. In this case, the controller must repair the photovoltaic panels in time, and generate an abnormal message and transmit it to the notification module, so that the controller can use corresponding methods to prevent hidden faults in time. Otherwise, if the evaluation parameters are lower than the basic parameters, it means that the power generation status of the photovoltaic panels is still in the reasonable range. At this time, the power generation status of the photovoltaic panels can be registered as a reasonable state, which means that the photovoltaic panels can generate electricity reliably and do not need special repairs.

[0106] When the estimation subunit 2 is executed, the past photovoltaic panel information in the original information group is obtained, and the current body information is registered, and then the body information is moved according to the reliable execution time (that is, the past photovoltaic panel information obtained at the sampling time interval of the reliable execution time according to the order of the body information is formed into sample information), and the sample information is obtained;

[0107] Obtain the past photovoltaic panel information under each entity information and sample information, and register the entity parameters and sample parameters respectively;

[0108] The setting range is enabled in the estimation subunit 2, and the past photovoltaic panel information is selected based on the current photovoltaic panel information and the setting range to obtain the selected parameters (the method for obtaining the selected parameters can be that if the past photovoltaic panel information is within the setting range, it is selected and combined with the current photovoltaic panel information to form the selected parameters), then the number of the selected parameters is counted and registered as the parameters to be estimated;

[0109] Enable the estimation threshold and perform a comparison with the parameter to be estimated; the setting scope and estimation threshold can be determined according to actual requirements.

[0110] If the parameter to be estimated is not lower than the estimation threshold, the proportion of sample parameters that are higher than the basic parameter is summed up (that is, the number of sample parameters that are higher than the basic parameter divided by the total number of sample parameters) and registered as the abnormal body rate;

[0111] Enable the set abnormality rate (the set market rate is a positive number less than 1 determined according to actual requirements), then compare it with the abnormal body rate, and when the abnormal body rate is higher than the set abnormality rate, register the power generation status of the photovoltaic panel as an abnormal status, otherwise, register the power generation status of the photovoltaic panel as a reasonable status;

[0112] If the parameter to be estimated is lower than the estimated critical value, when any sample parameter is higher than the basic parameter, the power generation status of the photovoltaic panel is registered as an abnormal status, otherwise, the power generation status of the photovoltaic panel is registered as a reasonable status.

[0113] When the above estimation sub-unit 2 is executed, the past photovoltaic panel information in the original information group is first obtained, and it is identified as the main body information. Then, the main body information is moved according to the reliable execution time to obtain the sample information. Then, the past photovoltaic panel information under each main body information and sample information is obtained, and these parameters are respectively registered as the main body parameters and sample parameters. These parameters are used as the basis for estimating the power generation status of the photovoltaic panel. Then, the setting range is activated in the estimation sub-module 2, and the past photovoltaic panel information is selected according to the current photovoltaic panel information and the setting range to obtain the selected parameters. That is, the past photovoltaic panel information often has a large gap between the current photovoltaic panel information. To avoid the occurrence of this situation, by setting the corresponding setting range, the past photovoltaic panel information close to the current photovoltaic panel information can be selected, and then the number of selected parameters is counted and the selected parameters are counted. Just register the parameter to be estimated, then compare the parameter to be estimated with the estimated critical value. If the parameter to be estimated is not lower than the estimated critical value, the sample parameter ratio higher than the basic parameter should be totaled and registered as the abnormal body rate. At this time, the set abnormal rate is then enabled and compared with the abnormal body rate. If the abnormal body rate is higher than the set abnormal rate, the power generation status of the photovoltaic panel is registered as an abnormal status. Otherwise, it means that the photovoltaic panel failure is a random status. At this time, the power generation status of the photovoltaic panel can be registered as a reasonable status. However, if the parameter to be estimated is lower than the estimated critical value, the status will be different. In this case, as long as any sample parameter is higher than the basic parameter, the power generation status of the photovoltaic panel will be registered as an abnormal status. Otherwise, if all sample parameters are not higher than the basic parameter, the power generation status of the photovoltaic panel will be registered as a reasonable status. The microcomputer processor can be an industrial computer.

[0114] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include:

[0115] By analyzing the real-time photovoltaic panel information, the power generation misalignment value of the photovoltaic panel can be derived, and the power generation misalignment value can be analyzed during the period of reasonable power generation of the photovoltaic panel to determine the arrangement rule of the power generation misalignment value, and then different estimation processes are performed according to its different arrangement rules to evaluate the power generation status of the photovoltaic panel, so as to detect the reliability deficiencies of the photovoltaic panel in real time and provide an effective guarantee for the reliable power generation of the photovoltaic panel.

[0116] The present disclosure can be a system, method and / or computer program product. The computer program product can include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to achieve various aspects of the present disclosure.

[0117] A computer-readable storage medium can be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium can be, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the above. More specific examples (a non-exhaustive list) of computer-readable storage media include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the above. As used herein, a computer-readable storage medium is not to be interpreted as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (such as, a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0118] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in each computing / processing device.

[0119] The computer program instructions for performing the operations of the present disclosure can be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, etc., and conventional procedural programming languages ​​such as "C" language or similar programming languages. Computer-readable program instructions can be executed entirely on the controller computer, partially on the controller computer, as a separate software package, partially on the controller computer and partially on the remote computer, or completely on the remote computer or server. In the case of a remote computer, the remote computer can be connected to the controller computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (just as using an Internet service provider to connect through the Internet). In some embodiments, the electronic circuit is customized by using state information of computer-readable program instructions, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), which can execute computer-readable program instructions to achieve various aspects of the present disclosure.

[0120] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A distributed photovoltaic power generation evaluation and control device, characterized in that: include: A current transmitter, a voltage transmitter and a light intensity transmitter connected to a microcomputer processor are arranged on the photovoltaic panels of the distributed photovoltaic power station. The current transmitter, the voltage transmitter and the light intensity transmitter are used to sample the current value, the voltage value and the attenuation value of the photovoltaic panels of the distributed photovoltaic power station respectively. The current value, the voltage value and the attenuation value of the photovoltaic panels of the distributed photovoltaic power station are the photovoltaic panel information, and the sampled photovoltaic panel information is transmitted to the microcomputer processor for display and evaluation; The modules running on the microcomputer processor include: An information acquisition module, which is used to instantly acquire real-time photovoltaic panel information of a distributed photovoltaic power station during the photovoltaic panel power generation period; An information estimation module is used to obtain basic parameters and jointly calculate the basic parameters and the real-time photovoltaic panel information to obtain the power generation misalignment parameters; An information evaluation module is used to derive the power generation status of the photovoltaic panel based on the power generation misalignment parameter. Here, the power generation status of the equipment includes a reasonable status and an abnormal status; A notification module, which is used to display an abnormal message in an abnormal state and store the abnormal message; The real-time photovoltaic panel information includes the real-time current value, voltage value and photovoltaic panel attenuation value of the photovoltaic panel; The information estimation module includes a detection submodule and a derivation submodule. The detection submodule is used to construct a detection interval, obtain the past photovoltaic panel information and the current photovoltaic panel information in the detection interval, and combine them into a raw information group. The derivation submodule is used to perform alienation processing on the current photovoltaic panel information and basic parameters to obtain alienation values, and derive the alienation values ​​as power generation dislocation parameters; The start time of photovoltaic panel power generation is taken as the starting point of the detection interval. In this interval, the past photovoltaic panel information and the current photovoltaic panel information are obtained. The past photovoltaic panel information is the photovoltaic panel information collected before, and the current photovoltaic panel information is the photovoltaic panel information collected now. The past photovoltaic panel information is the current photovoltaic panel information in the past. Power generation dislocation parameters = basic parameters - current photovoltaic panel information; The information estimation module further includes a comparison submodule, which is executed after the power generation misalignment parameter is derived, and is used to arrange the power generation misalignment parameter according to the derived time point, and register the power generation misalignment parameter corresponding to each photovoltaic panel information in the detection time interval as the parameter to be compared; A pair of adjacent parameters to be compared is regarded as a cluster, and a comparison mode is enabled in the comparison submodule, and then the parameters to be compared in each cluster are sent to the comparison mode to obtain the arrangement rule of the power generation dislocation parameters; Here, the arrangement rules include traceable arrangement and non-traceable arrangement.

2. The distributed photovoltaic power generation evaluation and control device according to claim 1, characterized in that: The method of sending the parameters to be compared of each cluster into the comparison mode and obtaining the arrangement rule of the power generation dislocation parameters includes: Obtain all parameters to be compared in the detection time interval; After the calibration equation is activated in the comparison mode, all the parameters to be compared are then sent to the calibration equation, and the derived values ​​are registered as the calibration parameters; The comparison equation is activated in the comparison mode, and the calibration parameters and the parameters to be compared of each cluster are sent to the comparison equation to obtain the comparison offset, and the arrangement rule of the power generation offset parameters is adapted according to the comparison offset.

3. The distributed photovoltaic power generation evaluation and control device according to claim 2, characterized in that: The standard equation is as follows: In the equation, Represents the standard parameter, Represents the time interval of the detection time interval, and Represents a pair of adjacent parameters to be compared. Represents the number of parameters to be compared; the comparison equation is as follows: In the equation, Represents the amount of deviation. Represents the parameters to be compared within the same cluster. Represents the parameters to be compared within the same cluster. Represents the sampling time interval between photovoltaic panels corresponding to the parameters to be compared in the same cluster.

4. The distributed photovoltaic power generation evaluation and control device according to claim 3, characterized in that: When the arrangement rule of the power generation misalignment parameters is adapted according to the comparison misalignment, the allowable misalignment threshold is activated in the comparison mode, and the allowable misalignment threshold is compared with the comparison misalignment, and then all the comparison misalignments that are higher than the allowable misalignment threshold are selected, and their proportion in all the comparison misalignments is registered as the parameter to be evaluated; The method of enabling the allowed misalignment threshold in the comparison mode and comparing the allowed misalignment threshold with the comparison misalignment includes: If the comparison critical value is higher than the parameter to be evaluated, the arrangement method of the corresponding power generation dislocation parameter is registered as a traceable arrangement; If the comparison critical quantity is not higher than the parameter to be evaluated, the arrangement method of the corresponding power generation dislocation parameter will be registered as an untraceable arrangement; The information evaluation module includes an estimation subunit 1 and an estimation subunit 2. The estimation subunit 1 is used to estimate the power generation misalignment parameters under a traceable arrangement, and the estimation subunit 2 is used to estimate the power generation misalignment parameters under an untraceable arrangement.

5. The distributed photovoltaic power generation evaluation and control device according to claim 4, characterized in that: When the estimation subunit is executed, the estimation equation is activated, and the current photovoltaic panel information and the standard parameters are sent to the estimation equation to obtain the evaluation parameters, and then the evaluation parameters are compared with the basic parameters; If the evaluation parameter is not lower than the basic parameter, the power generation status of the photovoltaic panel is registered as an abnormal status, and an abnormal message is generated and transmitted to the notification module; If the evaluation parameter is lower than the basic parameter, the power generation status of the photovoltaic panel is registered as a reasonable status.

6. The distributed photovoltaic power generation evaluation and control device according to claim 5, characterized in that: The estimated equation is as follows: In the equation, represents the evaluation parameter, Represents the current photovoltaic panel information, Represents reliable execution time. If the evaluation parameter is not lower than the basic parameter, the power generation status of the photovoltaic panel is registered as abnormal. Otherwise, if the evaluation parameter is lower than the basic parameter, it means that the power generation status of the photovoltaic panel is within a reasonable range, and the power generation status of the photovoltaic panel is registered as a reasonable status. When the estimation subunit 2 is executed, the past photovoltaic panel information in the original information group is obtained, and the current entity information is recorded, and then the entity information is moved according to the reliable execution time to obtain the sample information; Obtain the past photovoltaic panel information under each entity information and sample information, and register the entity parameters and sample parameters respectively; The setting range is activated in the estimation subunit 2, and the past photovoltaic panel information is selected and processed according to the current photovoltaic panel information and the setting range to obtain the selected parameters, and then the number of the selected parameters is counted and registered as the parameters to be estimated; Enable estimation of critical quantities and perform comparison with the parameters to be estimated; If the parameter to be estimated is not lower than the estimation threshold, the proportion of sample parameters that are higher than the basic parameter is summed up and registered as the abnormal body rate; Enable the set abnormality rate, then compare it with the abnormal body rate, and when the abnormal body rate is higher than the set abnormality rate, register the power generation status of the photovoltaic panel as an abnormal status, otherwise, register the power generation status of the photovoltaic panel as a reasonable status; If the parameter to be estimated is lower than the estimated critical value, when any sample parameter is higher than the basic parameter, the power generation status of the photovoltaic panel is registered as an abnormal status, otherwise, the power generation status of the photovoltaic panel is registered as a reasonable status.

7. A distributed photovoltaic power generation evaluation and control method, characterized in that: include: The distributed photovoltaic power generation evaluation and control device according to claim 1 is implemented, and specifically comprises: The current transmitter, voltage transmitter and light intensity transmitter respectively sample the current value, voltage value and photovoltaic panel attenuation value of the photovoltaic panel of the distributed photovoltaic power station. The current value, voltage value and photovoltaic panel attenuation value of the photovoltaic panel of the distributed photovoltaic power station are the photovoltaic panel information, and the sampled photovoltaic panel information is transmitted to the microcomputer processor for display and evaluation; A method for performing an evaluation on a microcomputer processor, running on a microcomputer processor, comprises: Real-time acquisition of real-time photovoltaic panel information during the photovoltaic panel power generation period of distributed photovoltaic power stations; Obtain basic parameters, and perform joint calculations on the basic parameters and real-time photovoltaic panel information to obtain power generation misalignment parameters; The power generation status of the photovoltaic panel is derived according to the power generation misalignment parameter. Here, the power generation status of the equipment includes a reasonable status and an abnormal status; In an abnormal situation, an abnormal message is displayed and stored.

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