Electric energy loss abnormity identification method and device, electronic equipment and storage medium

Abstract

The invention provides an electric energy loss abnormity identification method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring electrical parameters of the photovoltaic inverter system within a specified duration; wherein the photovoltaic inverter system comprises at least one inverter, the inverter comprises at least one maximum power point tracking module, and the electrical parameters comprise DC voltages of the at least one maximum power point tracking module at a plurality of acquisition moments; judging whether the photovoltaic inverter system is in a power generation limiting state or not; and if the photovoltaic inverter system is not in the power generation limiting state, identifying whether an electric energy loss abnormity occurs in the inverter according to the DC voltage. According to the method and the device, the electric energy loss abnormity can be identified on the basis of the least and most easily obtained parameters, the abnormity identification difficulty is reduced without depending on uncontrollable external data, misdiagnosis can be avoided, and the abnormity identification accuracy is improved.

Description

Technical Field

[0001] The present disclosure relates to the field of photovoltaic technology, and in particular to a method, device, electronic device and storage medium for identifying abnormal power loss. Background Art

[0002] In the field of photovoltaic power generation technology, a photovoltaic inverter system can always operate at the maximum power point that can be generated under different environmental conditions. If the photovoltaic inverter system does not operate at the maximum power point, abnormal power loss will occur.

[0003] The above anomalies may be caused by a variety of factors, such as human factors, natural factors, equipment factors, etc. How to eliminate the uncontrollable or non-interventional factors and accurately identify the above anomalies, the existing technology often needs to obtain a large number of external and internal parameters to achieve. Summary of the invention

[0004] In view of this, the purpose of the present disclosure is to provide a method, device, electronic device and storage medium for identifying abnormal power loss, so as to identify abnormal power loss in a photovoltaic inverter system with a small number of parameters.

[0005] In a first aspect, an embodiment of the present disclosure provides a method for identifying abnormal power loss, the method comprising: obtaining electrical parameters of a photovoltaic inverter system within a specified time period; wherein the photovoltaic inverter system comprises at least one inverter, the inverter comprises at least one maximum power point tracking module, and the electrical parameters comprise a DC voltage of the at least one maximum power point tracking module at multiple acquisition times; determining whether the photovoltaic inverter system is in a restricted power generation state; if the photovoltaic inverter system is not in a restricted power generation state, identifying whether the inverter has abnormal power loss based on the DC voltage.

[0006] In a second aspect, an embodiment of the present disclosure provides an apparatus for identifying abnormal power loss, the apparatus comprising: an acquisition module for acquiring electrical parameters of a photovoltaic inverter system within a specified time period; wherein the photovoltaic inverter system comprises at least one inverter, the inverter comprises at least one maximum power point tracking module, and the electrical parameters comprise the DC voltage of the at least one maximum power point tracking module at multiple acquisition times; a judgment module for judging whether the photovoltaic inverter system is in a restricted power generation state; and an identification module for identifying whether an abnormal power loss occurs in the inverter based on the DC voltage if the photovoltaic inverter system is not in a restricted power generation state.

[0007] In a third aspect, an embodiment of the present disclosure provides an electronic device, including a processor and a memory, wherein the memory stores machine executable instructions that can be executed by the processor, and the processor executes the machine executable instructions to implement the above-mentioned method for identifying abnormal power loss.

[0008] In a fourth aspect, an embodiment of the present disclosure provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the above-mentioned method for identifying abnormal power loss.

[0009] The embodiments of the present disclosure bring the following beneficial effects:

[0010] The above-mentioned power loss abnormality identification method, device, electronic device and storage medium can identify whether the inverter has power loss by analyzing the DC voltage of different maximum power point tracking modules in the inverter at different collection times, excluding the situation that the photovoltaic inverter system is in a restricted power generation state. The power loss abnormality can be identified based on the minimum and most easily obtained parameters, reducing the difficulty of abnormality identification without relying on uncontrollable external data, avoiding misdiagnosis, and improving the accuracy of abnormality identification.

[0011] Other features and advantages of the present disclosure will be described in the following description, and partly become apparent from the description, or understood by practicing the present disclosure. The purpose and other advantages of the present disclosure are realized and obtained by the structures particularly pointed out in the description, claims and drawings.

[0012] In order to make the above-mentioned objectives, features and advantages of the present disclosure more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the specific embodiments of the present disclosure or the technical solutions in the prior art, the drawings required for use in the specific embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present disclosure. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0014] Figure 1 A flow chart of an embodiment of a method for identifying abnormal power loss in an embodiment of the present disclosure;

[0015] Figure 2 A schematic diagram of a device for identifying abnormal power loss provided by an embodiment of the present disclosure;

[0016] Figure 3 A schematic diagram of an electronic device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the embodiments of the present disclosure clearer, the technical solution of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present disclosure, rather than all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present disclosure.

[0018] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" or "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0019] For ease of understanding, the specific process of the embodiment of the present disclosure is described below. Figure 1 , an embodiment of the method for identifying abnormal power loss in the embodiment of the present disclosure includes:

[0020] Step S10, obtaining electrical parameters of a photovoltaic inverter system within a specified time period; wherein the photovoltaic inverter system includes at least one inverter, the inverter includes at least one maximum power point tracking module, and the electrical parameters include a DC voltage of at least one maximum power point tracking module at multiple acquisition times;

[0021] It can be understood that the photovoltaic inverter system is a subsystem in the photovoltaic power generation system, which is mainly used to convert the direct current generated by the photovoltaic modules into alternating current to supply power to the power grid. The photovoltaic inverter system includes at least one inverter. The photovoltaic inverter system may also include a DC junction box, an AC distribution box, a monitoring / automatic power generation control system and protective devices (such as overvoltage protection, overcurrent protection), etc., to ensure that the direct current generated by the photovoltaic modules is efficiently and safely converted into alternating current.

[0022] It is understandable that in order to monitor the operation of the photovoltaic power generation system / photovoltaic inverter system, the monitoring / automatic power generation control system will collect the electrical parameters of the photovoltaic inverter system according to the preset collection frequency. For example, the preset collection frequency may be once every 1 minute or every 5 minutes, which is not specifically limited here. This embodiment obtains the electrical parameters of the photovoltaic inverter system within a specified time length. For example, the specified time length may be 10 minutes, 30 minutes, etc., which is not specifically limited here. In one embodiment, the electrical parameters may include a first electrical parameter of direct current and a second electrical parameter of alternating current. The electrical parameters may be electrical parameters of each maximum power point tracking module, which is not specifically limited here.

[0023] In this embodiment, the electrical parameters include the DC voltage of at least one maximum power point tracking module at multiple collection moments, wherein the multiple collection moments are moments for collecting at a preset collection frequency within a specified period, and the electrical parameters include the DC voltage of each maximum power point tracking module at each collection moment. This embodiment can identify the power loss abnormality of the inverter based on the DC voltage, requires a small number of parameters, and is easy to obtain, and is a convenient and efficient method for identifying abnormalities.

[0024] In one embodiment, the electrical parameters are electrical parameters of a photovoltaic inverter system in operation within a specified time period. After obtaining the electrical parameters of the photovoltaic inverter system within the specified time period, the data in the electrical parameters indicating that the photovoltaic inverter system is not in operation can be removed based on the electrical parameters. Specifically, it can be identified whether the photovoltaic inverter system is in operation based on parameters such as power, voltage, and current in the electrical parameters. The specific details are not limited here.

[0025] Step S20, determining whether the photovoltaic inverter system is in a power generation restriction state;

[0026] It can be understood that limiting power generation is a way of regulating the photovoltaic power generation system / photovoltaic inverter system. Due to the decrease in electricity demand, it is necessary to limit the amount of electricity transmitted by the photovoltaic power generation system to the power grid. Therefore, by limiting the power generation of the photovoltaic power generation system / photovoltaic inverter system and putting the photovoltaic inverter system in a restricted power generation state, the power output of the photovoltaic inverter system can be reduced.

[0027] Normally, the Automatic Generation Control (AGC) system of the photovoltaic power generation system can send a power-limiting instruction to the photovoltaic inverter system, and the photovoltaic inverter system responds to the power-limiting instruction and adjusts to a limited power generation state. Based on this, in one embodiment, according to the power-limiting instruction, it can be determined whether the photovoltaic inverter system is in a limited power generation state. Specifically, if the current moment is in the power-limiting period indicated by the power-limiting instruction, it is determined that the photovoltaic inverter system is in a limited power generation state. Otherwise, it is determined that the photovoltaic inverter system is not in a limited power generation state.

[0028] In one embodiment, it is also possible to determine whether the photovoltaic inverter system is in a restricted power generation state based on electrical parameters. It should be noted that since the restricted power generation is for one or more inverters, the restricted power generation is evenly distributed to all maximum power point tracking modules. When the photovoltaic inverter system is in a restricted power generation state and is not running at full load, the maximum power point tracking module should generate power evenly. Based on this, it is possible to determine whether the maximum power point tracking module in the photovoltaic inverter system is in a balanced power generation state without full load based on electrical parameters. If so, it means that the photovoltaic inverter system is in a restricted power generation state. Otherwise, it means that the photovoltaic inverter system is not in a restricted power generation state. By identifying whether the photovoltaic inverter system is in a restricted power generation state through electrical parameters, the acquisition of external data can be reduced, and there is no need to rely on external data such as power limit / power instructions. It is not easy to have misdiagnosis due to factors such as uncontrollable external data, thereby improving the accuracy of abnormal diagnosis.

[0029] Step S30: If the photovoltaic inverter system is not in a restricted power generation state, then identify whether the inverter has an abnormal power loss according to the DC voltage.

[0030] It is understandable that under different environmental conditions such as solar irradiance, temperature, and weather, floating clouds, tree shadows, and dust in the working environment of the photovoltaic power generation system will affect the output power, and the maximum power point of the inverter / maximum power point tracking module will also change. By tracking the maximum power point, the photovoltaic power generation system can always operate at the maximum power point under the current environmental conditions and output the maximum power under the current environmental conditions. If the photovoltaic inverter system is not restricted from generating electricity, then each maximum power point tracking module should reach the maximum power generation that can be achieved under the current environmental conditions, that is, operate at the maximum power point.

[0031] In this embodiment, based on the DC voltage corresponding to each maximum power point tracking module in each inverter, it can be identified whether the corresponding inverter has abnormal power loss. In one embodiment, when there is only one inverter, it can be identified whether the inverter has abnormal power loss based on the DC voltage between the maximum power point tracking modules. If there is more than one inverter, it can be identified whether the inverter has abnormal power loss based on the DC voltage between the inverters.

[0032] In one embodiment, different methods can be used to identify abnormal power loss of the inverter for the DC voltage according to the maximum power point tracking method of the photovoltaic inverter system. As an example but not a limitation, the maximum power point tracking method can include centralized, distributed and distributed methods. Among them, the centralized method refers to the centralized maximum power point tracking of the DC power input to the photovoltaic inverter system, the distributed method refers to the multi-channel maximum power point tracking of the DC power input to the photovoltaic inverter system, and the distributed method refers to both centralized and distributed maximum power point tracking methods, which are not specifically limited here.

[0033] The method for identifying power loss anomalies provided in the above-mentioned implementation mode can identify whether power loss has occurred in the inverter by analyzing the DC voltages of different maximum power point tracking modules in the inverter at different acquisition times, excluding the case where the photovoltaic inverter system is in a restricted power generation state. The power loss anomaly can be identified based on the minimum and most easily obtained parameters, thereby reducing the difficulty of anomaly identification without relying on uncontrollable external data, avoiding misdiagnosis, and improving the accuracy of anomaly identification.

[0034] Next, specific forms of abnormal power loss will be described.

[0035] In one embodiment, when identifying whether an abnormal power loss occurs in the inverter based on the DC voltage, the average DC voltage of each maximum power point tracking module within a specified time period is calculated based on the electrical parameters to obtain the average DC voltage corresponding to each maximum power point tracking module; the reference DC voltage of the photovoltaic inverter system is determined based on the type of the photovoltaic inverter system and the average DC voltage; and whether an abnormal power loss occurs in the inverter is identified based on the reference DC voltage and the average DC voltage.

[0036] It can be understood that photovoltaic inverter systems can be divided into different types according to the differences in the number, distribution method, connection method, and maximum power point tracking method of inverters in the photovoltaic inverter system. For different types of photovoltaic inverter systems, the reference DC voltage is determined in different ways. Among them, the reference DC voltage serves as the standard for the DC voltage in the photovoltaic inverter system. By comparing it with the average DC voltage corresponding to each maximum power point tracking module, it can be determined whether the inverter has power loss.

[0037] It should be noted that each maximum power point tracking module in the inverter is responsible for inverting part of the DC power. The average DC voltage of each maximum power point tracking module within a specified period of time is calculated to obtain the average DC voltage corresponding to each maximum power point tracking module. The average DC voltage of different maximum power point tracking modules reflects the average value of the DC voltage of the maximum power point tracking module over a period of time. It can be used to measure the deviation from the reference DC voltage and whether the inverter is operating at the maximum power point, thereby reducing the number of parameters required for identifying abnormal power loss and reducing the difficulty of identification.

[0038] In one embodiment, the types of photovoltaic inverter systems include centralized and decentralized types; wherein the inverter of the centralized photovoltaic inverter system includes a centralized inverter, and the inverter of the decentralized photovoltaic inverter system includes a decentralized inverter; the centralized inverter is used to: perform maximum power point tracking on the DC power input to the photovoltaic inverter system in a centralized manner; and the decentralized inverter is used to: perform multi-channel maximum power point tracking on the DC power distributed to the photovoltaic inverter system.

[0039] It can be understood that the inverter of the centralized photovoltaic inverter system is a centralized inverter, which can track the maximum power point of the DC power input to the photovoltaic inverter system in a centralized manner, while the inverter of the decentralized photovoltaic inverter system is a decentralized inverter (also known as: string inverter), which can track the maximum power point of the DC power input to the photovoltaic inverter system in a decentralized manner in multiple channels, with each channel inputting a portion of the DC power and independently tracking the maximum power point of that channel.

[0040] It should be noted that centralized inverters usually aggregate the DC power generated by photovoltaic modules into a larger DC power before performing maximum power point tracking and inversion, while decentralized inverters usually perform separate maximum power point tracking for multiple groups of photovoltaic modules / multiple photovoltaic panels before unified inversion. Based on this, the photovoltaic modules of a centralized photovoltaic inverter system are usually connected to a combiner box, and the output of the combiner box is then connected to the inverter, while the photovoltaic modules of a decentralized photovoltaic inverter system are usually connected to an inverter, and the output of the inverter can be connected to a combiner box, thus reflecting the differences between different types of photovoltaic inverter systems.

[0041] In one embodiment, when determining the reference DC voltage of the photovoltaic inverter system according to the type and average DC voltage of the photovoltaic inverter system, for a centralized photovoltaic inverter system, the minimum value of the average DC voltages of all maximum power point tracking modules in the inverter is determined as the reference DC voltage of the centralized photovoltaic inverter system; for a distributed photovoltaic inverter system, the median DC voltage of each inverter is calculated according to the average DC voltage corresponding to each maximum power point tracking module; and the reference DC voltage of the distributed photovoltaic inverter system is determined according to the median DC voltage of each inverter.

[0042] It is understandable that since the centralized photovoltaic inverter system / centralized inverter tracks the maximum power point of direct current in a centralized manner, and since the specifications and quantity of photovoltaic components corresponding to each maximum power point tracking module are generally the same, and the usage scenarios of the centralized photovoltaic inverter system usually do not involve local shading, even if local shading occurs, it will not have much impact on the inverter as a whole. Therefore, the difference between the maximum power point voltages of each maximum power point tracking module will not be too large.

[0043] Based on this, for centralized photovoltaic inverter systems, the minimum average DC voltage of all maximum power point tracking modules in the inverter is used as the reference DC voltage to measure whether the maximum power point voltages of each maximum power point tracking module are balanced, and then identify whether the inverter has abnormal power loss, which can obtain more accurate identification results.

[0044] In addition, for distributed photovoltaic inverter systems, since each maximum power point tracking module contains a maximum power point tracking device, local shading may cause large fluctuations in the DC voltage of the maximum power point tracking module. Based on this, the median of the average DC voltage of all maximum power point tracking modules in the inverter is regarded as the normal DC voltage of the inverter, that is, the DC voltage of the photovoltaic components connected to the inverter when there is no shading. Then, the reference DC voltage of the photovoltaic inverter system is determined based on the median DC voltage of all inverters.

[0045] Specifically, in one embodiment, one of the median DC voltages of all inverters can be determined as the reference DC voltage, or the reference DC voltage can be calculated based on the median DC voltages of all inverters. For example, the average value of the median DC voltages of all inverters can be used as the reference DC voltage. The specific details are not limited here.

[0046] Furthermore, in one embodiment, for a distributed photovoltaic inverter system, when calculating the median DC voltage of each inverter based on the average DC voltage corresponding to each maximum power point tracking module, for the distributed photovoltaic inverter system, the average DC voltages corresponding to all maximum power point tracking modules of each inverter are clustered to obtain multiple types of average DC voltages corresponding to each inverter; the mean of each type of average DC voltage is calculated to obtain multiple types of average values ​​corresponding to each inverter; and the median of the multiple types of average values ​​corresponding to each inverter is determined as the median DC voltage of the corresponding inverter.

[0047] In this implementation, by clustering, the average DC voltage of all maximum power point tracking modules of each inverter is divided into multiple categories, and the multiple categories of average DC voltage corresponding to each inverter are obtained, and then the average value of each category is calculated to obtain the multiple categories of average values ​​corresponding to each inverter, and finally, the median of the average values ​​of the categories is determined as the median DC voltage of the corresponding inverter. Among them, the number of categories generated when clustering can be a preset number, for example, clustering into 3 categories of average DC voltage, representing the average DC voltages of low, medium and high levels, respectively, which is not limited here.

[0048] As an example but not a limitation, assume that an inverter includes 9 MPPTs, that is, 9 maximum power point tracking modules, and the average DC voltages of these 9 MPPTs are (1) 1078.4 V, (2) 1096.3 V, (3) 1087.4 V, (4) 661.1 V, (5) 710.9 V, (6) 644.2 V, (7) 1054.5 V, (8) 1175.5 V, and (9) 750.4 V. Through clustering, the average DC voltages of these 9 MPPTs are The DC voltage can be divided into three categories of average DC voltages, 1-3, 7 are one category of average DC voltages, 4-6, 9 are one category of average DC voltages, and 8 is a separate category of average DC voltages. For these three categories of average DC voltages, the averages are calculated respectively, and the three average values ​​of the inverter voltage are 1079.2V, 691.7V, and 1175.5V respectively. The median of these three average values ​​is 1079.2. Therefore, the median DC voltage of the inverter is 1079.2V, which is not limited here. This implementation fully considers the application scenarios of the distributed photovoltaic inverter system, avoids the influence of shading on the abnormal identification of power loss, and improves the accuracy of abnormal identification of power loss.

[0049] In one implementation, when determining the reference DC voltage of the distributed photovoltaic inverter system according to the median DC voltage of each inverter, the minimum value of the median DC voltages of all inverters is determined as the reference DC voltage of the distributed photovoltaic inverter system.

[0050] It can be understood that the inverters controlled by the same automatic power generation control system can be regarded as the inverters of the same inverter system. The automatic power generation control system can send a power limit instruction to the inverter system, and the maximum power point tracking module limits the required power generation indicated by the instruction to be evenly distributed to each maximum power point tracking module of the inverter system. In this embodiment, the minimum median DC voltage in all inverters is determined as the reference DC voltage, which is used to identify the abnormal power loss of the inverter in combination with the average DC voltage of each maximum power point tracking module. The difference between the average DC voltage and the minimum normal DC voltage of the inverter can be known, so as to know whether the inverter has abnormal power loss.

[0051] In one embodiment, when identifying whether an inverter has an abnormal power loss based on a reference DC voltage and an average DC voltage, for a centralized photovoltaic inverter system, if a first difference between an average DC voltage corresponding to any maximum power point tracking module and the reference DC voltage is greater than a preset first threshold, it is determined that an abnormal power loss has occurred in the inverter; for a distributed photovoltaic inverter system, if a second difference between a minimum average DC voltage of any inverter and the reference DC voltage is greater than a preset second threshold, it is determined that an abnormal power loss has occurred in the inverter; wherein, the minimum average DC voltage of the inverter is the minimum value of the average DC voltages of all maximum power point tracking modules in the inverter.

[0052] It is understandable that different types of photovoltaic inverter systems identify abnormal power loss in different ways. In the present embodiment, for a centralized photovoltaic inverter system, if the average DC voltage of any maximum power point tracking module in the inverter is greater than a preset first threshold value of the reference DC voltage of the same inverter, it indicates that the average DC voltage deviation between all maximum power point tracking modules of the inverter is large, and at least one maximum power point tracking module of the inverter is not operating at the maximum power point, resulting in abnormal power loss.

[0053] On the other hand, for a distributed photovoltaic inverter system, if the minimum average DC voltage of any inverter is greater than the second threshold preset for the reference DC voltage of the same photovoltaic inverter system, it means that the average DC voltage of all maximum power point tracking modules of the inverter is greater than the reference DC voltage of the photovoltaic inverter system, but the average DC voltage of non-individual maximum power point tracking modules is greater than the reference DC voltage of the photovoltaic inverter system (possibly due to local shading). In this case, there is a problem with the inverter itself, and abnormal power loss occurs as a result.

[0054] Next, the inverter running at full load is described in detail. It is understandable that the inverter running at full load has generated the maximum power it can generate, so the inverter running at full load must not have power loss abnormality.

[0055] In one embodiment, after obtaining the electrical parameters of the photovoltaic inverter system within a specified time period, the data in the electrical parameters indicating the time when the inverter is running at full load is removed based on the electrical parameters. It should be noted that the full load operation of the inverter means that the inverter is running at the maximum power that can be achieved, and the maximum power is usually equal to the rated power of the inverter, which is not specifically limited here. Removing the data in the electrical parameters indicating the collection time when the inverter is running at full load helps to improve the efficiency of identifying abnormal power loss. In one embodiment, the data indicating the time when the inverter is running at full load can be identified and removed based on the power, current, voltage and other parameters in the electrical parameters.

[0056] Specifically, in one embodiment, the electrical parameters include the apparent power and AC current of the inverter at multiple collection moments; based on the electrical parameters, when the data indicating the full-load operation moment of the inverter is removed from the electrical parameters, the collection moments in the electrical parameters when the apparent power is less than the maximum apparent power and the AC current is less than the maximum AC current are determined as non-full-load operation moments, and the remaining collection moments are determined as full-load operation moments; the data of the full-load operation moment in the electrical parameters are removed.

[0057] In this implementation, the maximum apparent power and maximum AC current of the inverter are the rated parameters of the inverter. The apparent power and AC current at each collection moment in the electrical parameters are compared with the maximum apparent power and maximum AC current of the inverter respectively. The collection moments when the apparent power < maximum apparent power and the AC current < maximum AC current are regarded as the operating moments of the inverter at non-full load, and the remaining collection moments are the operating moments at full load. The data of the full load operating moments in the electrical parameters are deleted to reduce the amount of data required to be processed when identifying power loss anomalies and improve the efficiency of identifying power loss anomalies.

[0058] In one embodiment, after obtaining the electrical parameters of the photovoltaic inverter system within a specified time period, the data in the electrical parameters indicating that the inverter is not running can also be removed based on the electrical parameters. Specifically, whether the inverter is in operation can be identified by the active power in the electrical parameters. The electrical parameters at the time of collection when the active power is greater than 0 are the electrical parameters of the inverter in operation, and the electrical parameters at the time of collection when the active power is less than or equal to 0 are the electrical parameters of the inverter not in operation. Therefore, after obtaining the electrical parameters of the photovoltaic inverter system within the specified time period, the data at the time when the active power in the electrical parameters is less than or equal to zero can also be removed.

[0059] Next, the method of identifying the power generation restriction state will be described in detail.

[0060] In one embodiment, the electrical parameters include the active power of each maximum power point tracking module of the inverter at multiple collection times; when judging whether the photovoltaic inverter system is in a restricted power generation state, the average active power of the minimum allocation object indicated by the restricted power generation instruction at multiple collection times is calculated according to the electrical parameters to obtain the average active power of each minimum allocation object; wherein the minimum allocation object is a maximum power point tracking module or an inverter; and according to the third difference between the maximum value and the minimum value of the average active power of all minimum allocation objects, it is determined whether the photovoltaic inverter system is in a restricted power generation state.

[0061] It should be noted that, for a centralized photovoltaic inverter system / inverter, the minimum allocation object of the power generation limit instruction indication is the maximum power point tracking module, and the power limitation status of each maximum power point tracking module in the centralized photovoltaic inverter system / inverter is the same, while for a distributed photovoltaic inverter system / inverter, the minimum allocation object of the power generation limit instruction indication is the inverter, and the power limitation status of each inverter in the distributed photovoltaic inverter system / inverter is the same.

[0062] Therefore, for centralized photovoltaic inverter systems / inverters, based on the electrical parameters, the average active power of each maximum power point tracking module at multiple collection times is calculated to obtain the average active power of each maximum power point tracking module. For decentralized photovoltaic inverter systems / inverters, based on the electrical parameters, the average active power of each inverter at multiple collection times is calculated to obtain the average active power of each inverter.

[0063] Next, the difference between the maximum value and the minimum value in the average active power is calculated to obtain a third difference, and whether the photovoltaic inverter system is in a restricted power generation state is determined based on the third difference. Specifically, when determining whether the photovoltaic inverter system is in a restricted power generation state based on the third difference between the maximum value and the minimum value in the average active power of all minimum allocation objects, if the third difference between the maximum value and the minimum value in the average active power of all minimum allocation objects is greater than a preset third threshold, it is determined that the photovoltaic inverter system is not in a restricted power generation state, otherwise, it is determined that the photovoltaic inverter system is in a restricted power generation state.

[0064] Furthermore, for the centralized photovoltaic inverter system / inverter, it can be determined whether the third difference is greater than the preset fourth threshold value. If so, it means that the power difference between the maximum power point tracking modules is large, and not all maximum power point tracking modules are in the restricted power generation state, that is, some maximum power point tracking modules are in the restricted power generation state, and some maximum power point tracking modules are not in the restricted power generation state, then the actual power of the inverter cannot reach the required power generation indicated by the power limit instruction, that is, power loss is generated.

[0065] In addition, for distributed photovoltaic inverter systems / inverters, it can be determined whether the third difference is greater than the preset fifth threshold value. If so, it means that the power difference between the inverters is large, and not all inverters are in a restricted power generation state, that is, some inverters are in a restricted power generation state, and some inverters are not in a restricted power generation state. Then, the actual power of the photovoltaic inverter system cannot reach the required power generation indicated by the power restriction instruction, that is, power loss is generated.

[0066] Corresponding to the above method embodiment, see Figure 2A schematic diagram of a device for identifying abnormal power loss is shown, the device comprising: an acquisition module 201, used to acquire electrical parameters of a photovoltaic inverter system within a specified time period; wherein the photovoltaic inverter system comprises at least one inverter, the inverter comprises at least one maximum power point tracking module, and the electrical parameters comprise a DC voltage of the at least one maximum power point tracking module at multiple acquisition moments; a judgment module 202, used to judge whether the photovoltaic inverter system is in a restricted power generation state; an identification module 203, used to identify whether the inverter has an abnormal power loss according to the DC voltage if the photovoltaic inverter system is not in a restricted power generation state.

[0067] The above-mentioned power loss abnormality identification device can identify whether power loss occurs in the inverter by analyzing the DC voltages of different maximum power point tracking modules in the inverter at different collection times, excluding the situation where the photovoltaic inverter system is in a restricted power generation state. The power loss abnormality can be identified based on the minimum and most easily obtained parameters, thereby reducing the difficulty of abnormality identification without relying on uncontrollable external data, avoiding misdiagnosis, and improving the accuracy of abnormality identification.

[0068] Optionally, the above-mentioned identification module 203 includes: a first calculation submodule, which is used to calculate the average DC voltage of each maximum power point tracking module within the specified time period according to the electrical parameters if the photovoltaic inverter system is not in a restricted power generation state, and obtain the average DC voltage corresponding to each maximum power point tracking module; a first determination submodule, which is used to determine the reference DC voltage of the photovoltaic inverter system according to the type of the photovoltaic inverter system and the average DC voltage; and a first identification submodule, which is used to identify whether the inverter has an abnormal power loss according to the reference DC voltage and the average DC voltage.

[0069] Optionally, the types of the photovoltaic inverter system include centralized and decentralized types; wherein, the inverter of the centralized photovoltaic inverter system includes a centralized inverter, and the inverter of the decentralized photovoltaic inverter system includes a decentralized inverter; the centralized inverter is used for: performing centralized maximum power point tracking on the direct current input to the photovoltaic inverter system; the decentralized inverter is used for: performing multi-channel maximum power point tracking on the decentralized direct current input to the photovoltaic inverter system.

[0070] Optionally, the above-mentioned first determination submodule includes: a first determination unit, used to determine, for a centralized photovoltaic inverter system, the minimum value of the average DC voltages of all maximum power point tracking modules in the inverter as a reference DC voltage of the centralized photovoltaic inverter system; a first calculation unit, used to calculate, for a distributed photovoltaic inverter system, the median DC voltage of each inverter according to the average DC voltage corresponding to each maximum power point tracking module; and a second determination unit, used to determine the reference DC voltage of the distributed photovoltaic inverter system according to the median DC voltage of each inverter.

[0071] Optionally, the above-mentioned first calculation unit is specifically used for: for a distributed photovoltaic inverter system, clustering the average DC voltages corresponding to all maximum power point tracking modules of each inverter to obtain multiple types of average DC voltages corresponding to each inverter; calculating the mean of each type of average DC voltage to obtain multiple types of average values ​​corresponding to each inverter; and determining the median of the multiple types of average values ​​corresponding to each inverter as the median DC voltage of the corresponding inverter.

[0072] Optionally, the second determining unit is specifically configured to: determine a minimum value among the median DC voltages of all inverters as a reference DC voltage of the distributed photovoltaic inverter system.

[0073] Optionally, the above-mentioned first identification submodule is specifically used for: for a centralized photovoltaic inverter system, if the first difference between the average DC voltage corresponding to any maximum power point tracking module and the reference DC voltage is greater than a preset first threshold, it is determined that the inverter has an abnormal power loss; for a distributed photovoltaic inverter system, if the second difference between the minimum average DC voltage of any inverter and the reference DC voltage is greater than a preset second threshold, it is determined that the inverter has an abnormal power loss; wherein, the minimum average DC voltage of the inverter is the minimum value of the average DC voltages of all maximum power point tracking modules in the inverter.

[0074] Optionally, the above-mentioned device also includes: a first removal module, used to remove data indicating the time when the inverter is running at full load in the electrical parameters according to the electrical parameters.

[0075] Optionally, the electrical parameters include the apparent power and AC current of the inverter at multiple collection moments; the above-mentioned first removal module is specifically used to: determine the collection moment when the apparent power in the electrical parameters is less than the maximum apparent power and the AC current is less than the maximum AC current as a non-full-load operation moment, and determine the remaining collection moments as full-load operation moments; remove the data of the full-load operation moment in the electrical parameters.

[0076] Optionally, the electrical parameters include the active power of the inverter at multiple collection moments; the above-mentioned device also includes: a second removal module, used to remove the moment data of the active power in the electrical parameters being less than or equal to zero.

[0077] Optionally, the electrical parameters include the active power of each maximum power point tracking module of the inverter at multiple collection times; the above-mentioned judgment module 202 includes: a second calculation unit, used to calculate the average active power of the minimum allocation object indicated by the power generation restriction instruction at the multiple collection times according to the electrical parameters, and obtain the average active power of each minimum allocation object; wherein the minimum allocation object is the maximum power point tracking module or the inverter; a third determination unit, used to determine whether the photovoltaic inverter system is in a restricted power generation state according to a third difference between the maximum value and the minimum value of the average active power of all minimum allocation objects.

[0078] Optionally, the third determination unit is specifically used to: determine that the photovoltaic inverter system is not in a restricted power generation state if a third difference between a maximum value and a minimum value in the average active power of all minimum allocation objects is greater than a preset third threshold.

[0079] This embodiment also provides an electronic device, including a processor and a memory, wherein the memory stores machine executable instructions that can be executed by the processor, and the processor executes the machine executable instructions to implement the above-mentioned power loss abnormality identification method. The electronic device can be a server or a terminal device.

[0080] See also Figure 3 As shown, the electronic device includes a processor 100 and a memory 101, wherein the memory 101 stores machine executable instructions that can be executed by the processor 100, and the processor 100 executes the machine executable instructions to implement the above-mentioned method for identifying abnormal power loss.

[0081] Further, Figure 3 The electronic device shown further includes a bus 102 and a communication interface 103 , and the processor 100 , the communication interface 103 and the memory 101 are connected via the bus 102 .

[0082] The memory 101 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk storage. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 103 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used. The bus 102 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0083] The processor 100 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 100. The above processor 100 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present disclosure can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in conjunction with the embodiments of the present disclosure can be directly embodied as a hardware decoding processor for execution, or a combination of hardware and software modules in the decoding processor for execution. The software module may be located in a storage medium mature in the art, such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 101, and the processor 100 reads the information in the memory 101 and completes the steps of the method of the above embodiment in combination with its hardware, for example:

[0084] Obtain electrical parameters of a photovoltaic inverter system within a specified time period; wherein the photovoltaic inverter system includes at least one inverter, the inverter includes at least one maximum power point tracking module, and the electrical parameters include the DC voltage of at least one maximum power point tracking module at multiple acquisition times; determine whether the photovoltaic inverter system is in a restricted power generation state; if the photovoltaic inverter system is not in a restricted power generation state, identify whether the inverter has abnormal power loss based on the DC voltage.

[0085] In this method, excluding the situation where the photovoltaic inverter system is in a restricted power generation state, by analyzing the DC voltages of different maximum power point tracking modules in the inverter at different collection times, it is possible to identify whether the inverter has power loss, so that the power loss anomaly can be identified based on the minimum and most easily obtained parameters, reducing the difficulty of anomaly identification without relying on uncontrollable external data, avoiding misdiagnosis, and improving the accuracy of anomaly identification.

[0086] Optionally, if the photovoltaic inverter system is not in a restricted power generation state, the step of identifying whether the inverter has an abnormal power loss according to the DC voltage includes: if the photovoltaic inverter system is not in a restricted power generation state, calculating the average DC voltage of each maximum power point tracking module within a specified time period according to electrical parameters, and obtaining the average DC voltage corresponding to each maximum power point tracking module; determining a reference DC voltage of the photovoltaic inverter system according to the type of the photovoltaic inverter system and the average DC voltage; and identifying whether the inverter has an abnormal power loss according to the reference DC voltage and the average DC voltage.

[0087] Optionally, the types of photovoltaic inverter systems include centralized and decentralized types; wherein, the inverter of the centralized photovoltaic inverter system includes a centralized inverter, and the inverter of the decentralized photovoltaic inverter system includes a decentralized inverter; the centralized inverter is used for: performing maximum power point tracking on the DC power input to the photovoltaic inverter system in a centralized manner; the decentralized inverter is used for: performing multi-channel maximum power point tracking on the DC power distributed input to the photovoltaic inverter system.

[0088] Optionally, the step of determining a reference DC voltage of the photovoltaic inverter system according to the type and average DC voltage of the photovoltaic inverter system includes: for a centralized photovoltaic inverter system, determining the minimum value of the average DC voltages of all maximum power point tracking modules in the inverter as the reference DC voltage of the centralized photovoltaic inverter system; for a distributed photovoltaic inverter system, calculating the median DC voltage of each inverter according to the average DC voltage corresponding to each maximum power point tracking module; and determining the reference DC voltage of the distributed photovoltaic inverter system according to the median DC voltage of each inverter.

[0089] Optionally, for a distributed photovoltaic inverter system, the step of calculating the median DC voltage of each inverter based on the average DC voltage corresponding to each maximum power point tracking module includes: for the distributed photovoltaic inverter system, clustering the average DC voltages corresponding to all maximum power point tracking modules of each inverter to obtain multiple categories of average DC voltages corresponding to each inverter; calculating the mean of each category of average DC voltage to obtain multiple categories of average values ​​corresponding to each inverter; and determining the median of the multiple categories of average values ​​corresponding to each inverter as the median DC voltage of the corresponding inverter.

[0090] Optionally, the step of determining a reference DC voltage of the distributed photovoltaic inverter system according to the median DC voltage of each inverter includes: determining a minimum value of the median DC voltages of all inverters as the reference DC voltage of the distributed photovoltaic inverter system.

[0091] Optionally, the step of identifying whether an abnormal power loss occurs in the inverter based on a reference DC voltage and an average DC voltage includes: for a centralized photovoltaic inverter system, if a first difference between an average DC voltage corresponding to any maximum power point tracking module and the reference DC voltage is greater than a preset first threshold, it is determined that an abnormal power loss occurs in the inverter; for a distributed photovoltaic inverter system, if a second difference between a minimum average DC voltage of any inverter and the reference DC voltage is greater than a preset second threshold, it is determined that an abnormal power loss occurs in the inverter; wherein the minimum average DC voltage of the inverter is the minimum value of the average DC voltages of all maximum power point tracking modules in the inverter.

[0092] Optionally, after the step of obtaining the electrical parameters of the photovoltaic inverter system within a specified time period, the method further includes: removing data in the electrical parameters indicating the time when the inverter is running at full load according to the electrical parameters.

[0093] Optionally, the electrical parameters include apparent power and AC current of the inverter at multiple collection moments; based on the electrical parameters, the step of removing data in the electrical parameters indicating the full-load operating moment of the inverter includes: determining the collection moment in the electrical parameters when the apparent power is less than the maximum apparent power and the AC current is less than the maximum AC current as a non-full-load operating moment, and determining the remaining collection moments as full-load operating moments; removing the data of the full-load operating moment in the electrical parameters.

[0094] Optionally, the electrical parameters include the active power of the inverter at multiple acquisition moments; after the step of acquiring the electrical parameters of the photovoltaic inverter system within a specified time period, it also includes: removing the moment data when the active power in the electrical parameters is less than or equal to zero.

[0095] Optionally, the electrical parameters include the active power of each maximum power point tracking module of the inverter at multiple collection times; the step of determining whether the photovoltaic inverter system is in a restricted power generation state includes: calculating, based on the electrical parameters, the average active power of the minimum allocation object indicated by the restricted power generation instruction at multiple collection times, and obtaining the average active power of each minimum allocation object; wherein the minimum allocation object is a maximum power point tracking module or an inverter; determining whether the photovoltaic inverter system is in a restricted power generation state based on the third difference between the maximum value and the minimum value of the average active power of all minimum allocation objects.

[0096] Optionally, the step of determining whether the photovoltaic inverter system is in a restricted power generation state based on a third difference between the maximum value and the minimum value of the average active power of all minimum allocated objects includes: if the third difference between the maximum value and the minimum value of the average active power of all minimum allocated objects is greater than a preset third threshold, determining that the photovoltaic inverter system is not in a restricted power generation state.

[0097] This embodiment further provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the above-mentioned power loss abnormality identification method, for example:

[0098] Obtain electrical parameters of a photovoltaic inverter system within a specified time period; wherein the photovoltaic inverter system includes at least one inverter, the inverter includes at least one maximum power point tracking module, and the electrical parameters include the DC voltage of at least one maximum power point tracking module at multiple acquisition times; determine whether the photovoltaic inverter system is in a restricted power generation state; if the photovoltaic inverter system is not in a restricted power generation state, identify whether the inverter has abnormal power loss based on the DC voltage.

[0099] In this method, excluding the situation where the photovoltaic inverter system is in a restricted power generation state, by analyzing the DC voltages of different maximum power point tracking modules in the inverter at different collection times, it is possible to identify whether the inverter has power loss, so that the power loss anomaly can be identified based on the minimum and most easily obtained parameters, reducing the difficulty of anomaly identification without relying on uncontrollable external data, avoiding misdiagnosis, and improving the accuracy of anomaly identification.

[0100] Optionally, if the photovoltaic inverter system is not in a restricted power generation state, the step of identifying whether the inverter has an abnormal power loss according to the DC voltage includes: if the photovoltaic inverter system is not in a restricted power generation state, calculating the average DC voltage of each maximum power point tracking module within a specified time period according to electrical parameters, and obtaining the average DC voltage corresponding to each maximum power point tracking module; determining a reference DC voltage of the photovoltaic inverter system according to the type of the photovoltaic inverter system and the average DC voltage; and identifying whether the inverter has an abnormal power loss according to the reference DC voltage and the average DC voltage.

[0101] Optionally, the types of photovoltaic inverter systems include centralized and decentralized types; wherein, the inverter of the centralized photovoltaic inverter system includes a centralized inverter, and the inverter of the decentralized photovoltaic inverter system includes a decentralized inverter; the centralized inverter is used for: performing maximum power point tracking on the DC power input to the photovoltaic inverter system in a centralized manner; the decentralized inverter is used for: performing multi-channel maximum power point tracking on the DC power distributed input to the photovoltaic inverter system.

[0102] Optionally, the step of determining a reference DC voltage of the photovoltaic inverter system according to the type and average DC voltage of the photovoltaic inverter system includes: for a centralized photovoltaic inverter system, determining the minimum value of the average DC voltages of all maximum power point tracking modules in the inverter as the reference DC voltage of the centralized photovoltaic inverter system; for a distributed photovoltaic inverter system, calculating the median DC voltage of each inverter according to the average DC voltage corresponding to each maximum power point tracking module; and determining the reference DC voltage of the distributed photovoltaic inverter system according to the median DC voltage of each inverter.

[0103] Optionally, for a distributed photovoltaic inverter system, the step of calculating the median DC voltage of each inverter based on the average DC voltage corresponding to each maximum power point tracking module includes: for the distributed photovoltaic inverter system, clustering the average DC voltages corresponding to all maximum power point tracking modules of each inverter to obtain multiple categories of average DC voltages corresponding to each inverter; calculating the mean of each category of average DC voltage to obtain multiple categories of average values ​​corresponding to each inverter; and determining the median of the multiple categories of average values ​​corresponding to each inverter as the median DC voltage of the corresponding inverter.

[0104] Optionally, the step of determining a reference DC voltage of the distributed photovoltaic inverter system according to the median DC voltage of each inverter includes: determining a minimum value of the median DC voltages of all inverters as the reference DC voltage of the distributed photovoltaic inverter system.

[0105] Optionally, the step of identifying whether an abnormal power loss occurs in the inverter based on a reference DC voltage and an average DC voltage includes: for a centralized photovoltaic inverter system, if a first difference between an average DC voltage corresponding to any maximum power point tracking module and the reference DC voltage is greater than a preset first threshold, it is determined that an abnormal power loss occurs in the inverter; for a distributed photovoltaic inverter system, if a second difference between a minimum average DC voltage of any inverter and the reference DC voltage is greater than a preset second threshold, it is determined that an abnormal power loss occurs in the inverter; wherein the minimum average DC voltage of the inverter is the minimum value of the average DC voltages of all maximum power point tracking modules in the inverter.

[0106] Optionally, after the step of obtaining the electrical parameters of the photovoltaic inverter system within a specified time period, the method further includes: removing data in the electrical parameters indicating the time when the inverter is running at full load according to the electrical parameters.

[0107] Optionally, the electrical parameters include apparent power and AC current of the inverter at multiple collection moments; based on the electrical parameters, the step of removing data in the electrical parameters indicating the full-load operating moment of the inverter includes: determining the collection moment in the electrical parameters when the apparent power is less than the maximum apparent power and the AC current is less than the maximum AC current as a non-full-load operating moment, and determining the remaining collection moments as full-load operating moments; removing the data of the full-load operating moment in the electrical parameters.

[0108] Optionally, the electrical parameters include the active power of the inverter at multiple acquisition moments; after the step of acquiring the electrical parameters of the photovoltaic inverter system within a specified time period, it also includes: removing the moment data when the active power in the electrical parameters is less than or equal to zero.

[0109] Optionally, the electrical parameters include the active power of each maximum power point tracking module of the inverter at multiple collection times; the step of determining whether the photovoltaic inverter system is in a restricted power generation state includes: calculating, based on the electrical parameters, the average active power of the minimum allocation object indicated by the restricted power generation instruction at multiple collection times, and obtaining the average active power of each minimum allocation object; wherein the minimum allocation object is a maximum power point tracking module or an inverter; determining whether the photovoltaic inverter system is in a restricted power generation state based on the third difference between the maximum value and the minimum value of the average active power of all minimum allocation objects.

[0110] Optionally, the step of determining whether the photovoltaic inverter system is in a restricted power generation state based on a third difference between the maximum value and the minimum value of the average active power of all minimum allocated objects includes: if the third difference between the maximum value and the minimum value of the average active power of all minimum allocated objects is greater than a preset third threshold, determining that the photovoltaic inverter system is not in a restricted power generation state.

[0111] The computer program product of the method, device, electronic device and storage medium for identifying abnormal power loss provided in the embodiments of the present disclosure includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the methods described in the previous method embodiments. The specific implementation can be found in the method embodiments, which will not be repeated here.

[0112] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the system and device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0113] In addition, in the description of the embodiments of the present disclosure, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present disclosure can be understood according to specific circumstances.

[0114] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present disclosure, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present disclosure. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0115] In the description of the present disclosure, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present disclosure and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present disclosure. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0116] Finally, it should be noted that the above embodiments are only specific implementation methods of the present disclosure, which are used to illustrate the technical solutions of the present disclosure, rather than to limit them. The protection scope of the present disclosure is not limited thereto. Although the present disclosure is described in detail with reference to the above embodiments, those skilled in the art should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above embodiments within the technical scope disclosed in the present disclosure, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present disclosure, and should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be based on the protection scope of the claims.

Claims

1. A method for identifying abnormal power loss, characterized in that: The method comprises: Acquiring electrical parameters of a photovoltaic inverter system within a specified time period; wherein the photovoltaic inverter system includes at least one inverter, the inverter includes at least one maximum power point tracking module, and the electrical parameters include a DC voltage of the at least one maximum power point tracking module at multiple acquisition times; Determining whether the photovoltaic inverter system is in a power generation restriction state; If the photovoltaic inverter system is not in a restricted power generation state, whether an abnormal power loss occurs in the inverter is identified based on the DC voltage.

2. The method according to claim 1, characterized in that If the photovoltaic inverter system is not in a restricted power generation state, the step of identifying whether the inverter has an abnormal power loss according to the DC voltage includes: If the photovoltaic inverter system is not in a power generation restriction state, then calculating the average DC voltage of each maximum power point tracking module within the specified time period according to the electrical parameters to obtain the average DC voltage corresponding to each maximum power point tracking module; Determining a reference DC voltage of the photovoltaic inverter system according to the type of the photovoltaic inverter system and the average DC voltage; Whether an abnormal power loss occurs in the inverter is identified based on the reference DC voltage and the average DC voltage.

3. The method according to claim 2, characterized in that The types of the photovoltaic inverter system include centralized and decentralized types; wherein the inverter of the centralized photovoltaic inverter system includes a centralized inverter, and the inverter of the decentralized photovoltaic inverter system includes a decentralized inverter; The centralized inverter is used to: perform maximum power point tracking on the DC power input into the photovoltaic inverter system; The distributed inverter is used to perform multi-channel maximum power point tracking on the DC power input into the photovoltaic inverter system.

4. The method according to claim 3, characterized in that The step of determining a reference DC voltage of the photovoltaic inverter system according to the type of the photovoltaic inverter system and the average DC voltage comprises: For a centralized photovoltaic inverter system, a minimum value of average DC voltages of all maximum power point tracking modules in the inverter is determined as a reference DC voltage of the centralized photovoltaic inverter system; For the distributed photovoltaic inverter system, the median DC voltage of each inverter is calculated according to the average DC voltage corresponding to each maximum power point tracking module; The reference DC voltage of the distributed photovoltaic inverter system is determined according to the median DC voltage of each inverter.

5. The method according to claim 4, characterized in that For a distributed photovoltaic inverter system, the steps of calculating the median DC voltage of each inverter according to the average DC voltage corresponding to each maximum power point tracking module include: For the distributed photovoltaic inverter system, the average DC voltages corresponding to all maximum power point tracking modules of each inverter are clustered to obtain multiple types of average DC voltages corresponding to each inverter; Calculate the average value of each type of average DC voltage to obtain multiple types of average values ​​corresponding to each inverter; The median of the multiple class average values ​​corresponding to each inverter is determined as the median DC voltage of the corresponding inverter.

6. The method according to claim 4, characterized in that The step of determining the reference DC voltage of the distributed photovoltaic inverter system according to the median DC voltage of each inverter comprises: The minimum value of the median DC voltages of all inverters is determined as the reference DC voltage of the distributed photovoltaic inverter system.

7. The method according to claim 3, characterized in that The step of identifying whether the inverter has abnormal power loss according to the reference DC voltage and the average DC voltage comprises: For a centralized photovoltaic inverter system, if a first difference between an average DC voltage corresponding to any maximum power point tracking module and the reference DC voltage is greater than a preset first threshold, it is determined that an abnormal power loss occurs in the inverter; For a distributed photovoltaic inverter system, if the second difference between the minimum average DC voltage of any inverter and the reference DC voltage is greater than a preset second threshold, it is determined that the inverter has an abnormal power loss; wherein the minimum average DC voltage of the inverter is the minimum value of the average DC voltages of all maximum power point tracking modules in the inverter.

8. The method according to claim 1, characterized in that: After the step of obtaining the electrical parameters of the photovoltaic inverter system within the specified time period, the following steps are also included: According to the electrical parameters, data indicating the time when the inverter is running at full load is removed from the electrical parameters.

9. The method according to claim 8, characterized in that The electrical parameters include the apparent power and AC current of the inverter at multiple acquisition moments; The step of removing data in the electrical parameters indicating the inverter is running at full load according to the electrical parameters comprises: Determine the acquisition time when the apparent power in the electrical parameters is less than the maximum apparent power and the AC current is less than the maximum AC current as the non-full-load operation time, and determine the other acquisition times as the full-load operation time; The data of the full load operation time in the electrical parameters is removed.

10. The method according to claim 1, characterized in that The electrical parameters include the active power of the inverter at multiple acquisition moments; After the step of obtaining the electrical parameters of the photovoltaic inverter system within the specified time period, the following steps are also included: The time data when the active power in the electrical parameters is less than or equal to zero is removed.

11. The method according to claim 1, characterized in that: The electrical parameters include the active power of each maximum power point tracking module of the inverter at multiple acquisition moments; The step of determining whether the photovoltaic inverter system is in a power generation restriction state comprises: According to the electrical parameters, the average active power of the minimum allocation object indicated by the power generation restriction instruction at the multiple acquisition moments is calculated to obtain the average active power of each minimum allocation object; wherein the minimum allocation object is the maximum power point tracking module or the inverter; Whether the photovoltaic inverter system is in a limited power generation state is determined according to a third difference between a maximum value and a minimum value of average active powers of all minimum allocated objects.

12. The method according to claim 11, characterized in that The step of determining whether the photovoltaic inverter system is in a power generation restriction state according to a third difference between a maximum value and a minimum value of average active powers of all minimum allocated objects comprises: If a third difference between the maximum value and the minimum value of the average active power of all minimum allocated objects is greater than a preset third threshold, it is determined that the photovoltaic inverter system is not in a restricted power generation state.

13. A device for identifying abnormal power loss, characterized in that: The device comprises: An acquisition module, used to acquire electrical parameters of a photovoltaic inverter system within a specified time period; wherein the photovoltaic inverter system includes at least one inverter, the inverter includes at least one maximum power point tracking module, and the electrical parameters include a DC voltage of the at least one maximum power point tracking module at multiple acquisition times; A judgment module, used to judge whether the photovoltaic inverter system is in a power generation restriction state; The identification module is used to identify whether the inverter has abnormal power loss according to the DC voltage if the photovoltaic inverter system is not in a restricted power generation state.

14. An electronic device, characterized in that: It comprises a processor and a memory, wherein the memory stores machine executable instructions that can be executed by the processor, and the processor executes the machine executable instructions to implement the method for identifying abnormal power loss as described in any one of claims 1-12.

15. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the method for identifying abnormal power loss according to any one of claims 1 to 12.

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