Power limiting method and device of target photovoltaic power station and photovoltaic system

Abstract

The invention discloses a power limiting method and device of a target photovoltaic power station and a photovoltaic system, and belongs to the field of photovoltaic power generation. The power limiting method of the target photovoltaic power station comprises the following steps: determining a direct current power reduction value based on an obtained transmission limiting instruction; based on the direct current power reduction value and parameter information of a target photovoltaic power station, determining a target number of the cleaning robots needing to be called; and controlling the target number of cleaning robots to shield a photovoltaic array in the target photovoltaic power station. According to the power limiting method of the target photovoltaic power station, the power limiting requirement can be met without power adjustment through an inverter, the stability of the inverter can be remarkably improved, and the service life of the inverter is prolonged; and by reusing the cleaning robot, no extra construction cost is involved, the adjustment precision, accuracy and flexibility are high, and the construction cost is low.

Description

Technical Field

[0001] This application belongs to the field of photovoltaic power generation, and in particular relates to a power limiting method, apparatus and photovoltaic system for a target photovoltaic power station. Background Technology

[0002] With the rapid growth of photovoltaic (PV) power generation, some regions have experienced insufficient grid absorption capacity, leading to the implementation of PV power curtailment measures to limit the power generation of PV power plants. Among related technologies, a common curtailment method involves power adjustment via inverters. Inverters increase DC voltage and decrease DC current to limit DC power and meet power limiting requirements. However, during curtailment, excessively high DC voltage can increase internal inverter losses, causing overheating and reducing inverter stability and lifespan. Summary of the Invention

[0003] This application aims to address at least one of the technical problems existing in the prior art. To this end, this application proposes a power limiting method, apparatus, and photovoltaic system for a target photovoltaic power plant, which can meet the power limiting requirements without power adjustment through the inverter, significantly improving the stability of the inverter and extending its service life; and by reusing a cleaning robot, no additional construction costs are involved, and it has high adjustment accuracy, precision, and flexibility, as well as low construction costs.

[0004] In a first aspect, this application provides a power limiting method for a target photovoltaic power station, wherein at least one cleaning robot is installed within the target photovoltaic power station; the method includes:

[0005] Based on the acquired power reduction instruction, determine the DC power reduction value;

[0006] Based on the DC power reduction value and the parameter information of the target photovoltaic power station, the target number of the cleaning robots to be called is determined;

[0007] The cleaning robots, controlled by the target number, shield the photovoltaic array within the target photovoltaic power station.

[0008] According to the power limiting method for the target photovoltaic power station of this application, the target number of cleaning robots to be called is determined by the DC power reduction value determined by the power limiting command. The target number of cleaning robots is called to shade the photovoltaic array in the target photovoltaic power station to reduce the power generation of the photovoltaic array, thereby reducing the DC power to meet the power limiting command. The power limiting requirements can be met without adjusting the inverter, which can significantly improve the stability of the inverter and extend its service life. Moreover, by reusing the cleaning robots, no additional construction costs are involved, which has high adjustment accuracy, precision and flexibility, as well as low construction costs.

[0009] According to one embodiment of this application, determining the DC power reduction value based on the acquired power limiting instruction includes:

[0010] Based on the issuance restriction order, the issuance restriction percentage is determined;

[0011] If the power restriction percentage is greater than the triggering threshold, the DC power reduction value is determined based on the power restriction percentage.

[0012] According to one embodiment of this application, determining the DC power reduction value based on the power limiting percentage includes:

[0013] The DC power reduction value is limited to between the power limiting percentage and the call threshold.

[0014] According to one embodiment of this application, determining the target number of cleaning robots to be called based on the DC power reduction value and the parameter information of the target photovoltaic power station includes:

[0015] Obtain a target association table corresponding to the target photovoltaic power station and the parameter information; the target association table is used to characterize the correspondence between the candidate power generation reduction value of the target photovoltaic power station and the candidate number of cleaning robots under the action of the parameter information;

[0016] The target quantity is determined based on the number of candidate values ​​corresponding to the DC power reduction value in the target association table.

[0017] According to one embodiment of this application, determining the target quantity based on the number of candidate values ​​corresponding to the DC power reduction value in the target association table includes:

[0018] From the target correlation table, determine the candidate power generation reduction value that is closest to the DC power reduction value;

[0019] The number of candidates corresponding to the closest candidate power generation decrease value is determined as the target number.

[0020] According to one embodiment of this application, determining the target quantity based on the number of candidate values ​​corresponding to the DC power reduction value in the target association table includes:

[0021] If the DC power reduction value is greater than the maximum value of the candidate power generation reduction values ​​included in the target association table, the target number is determined as the total number of the cleaning robots.

[0022] According to one embodiment of this application, before determining the target number of cleaning robots to be called based on the DC power reduction value and the parameter information of the target photovoltaic power station, the method further includes:

[0023] Based on the parameter information corresponding to the target photovoltaic power station and the basic information of the cleaning robot in the target photovoltaic power station, a power calculation model is constructed.

[0024] The power generation reduction value output by the power calculation model is obtained when the cleaning robot blocks the target photovoltaic power station under various candidate quantities.

[0025] Based on the number of candidates and the corresponding decrease in candidate power generation, a target association table is constructed that corresponds to the target photovoltaic power station and the parameter information.

[0026] According to one embodiment of this application, after determining the DC power reduction value based on the acquired power restriction command, the method further includes:

[0027] Based on the issuance restriction order, the issuance restriction percentage is determined;

[0028] If the power generation limitation percentage is not greater than the triggering threshold, the power of the target photovoltaic power station is adjusted based on the inverter.

[0029] According to one embodiment of this application, controlling the target number of cleaning robots to shade the photovoltaic array within the target photovoltaic power station includes:

[0030] When the number of targets is greater than 1, the cleaning robot controls the number of targets to block the photovoltaic array based on the principle of maximizing shadow occlusion.

[0031] Secondly, this application provides a power limiting device for a target photovoltaic power station, wherein at least one cleaning robot is installed within the target photovoltaic power station; the device includes:

[0032] The first processing module is used to determine the DC power reduction value based on the acquired power restriction instruction;

[0033] The second processing module is used to determine the target number of the cleaning robots to be called based on the DC power reduction value and the parameter information of the target photovoltaic power station.

[0034] The third processing module is used to control the target number of cleaning robots to shield the photovoltaic array in the target photovoltaic power station.

[0035] According to the power limiting device of the target photovoltaic power station of this application, the target number of cleaning robots to be called is determined by the DC power reduction value determined by the power limiting command. The target number of cleaning robots is called to shade the photovoltaic array in the target photovoltaic power station to reduce the power generation of the photovoltaic array, thereby reducing the DC power to meet the power limiting command. The power limiting requirements can be met without adjusting the inverter, which can significantly improve the stability of the inverter and extend the service life of the inverter. Moreover, by reusing the cleaning robots, no additional construction costs are involved, which has high adjustment accuracy, precision and flexibility, as well as low construction costs.

[0036] Thirdly, this application provides a photovoltaic system, comprising:

[0037] Photovoltaic array;

[0038] At least one cleaning robot, which operates based on the power limiting method of the target photovoltaic power plant as described in the first aspect.

[0039] Fourthly, this application provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the power limiting method for the target photovoltaic power plant as described in the first aspect above.

[0040] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the power limiting method for the target photovoltaic power plant as described in the first aspect above.

[0041] The above-described one or more technical solutions in the embodiments of this application have at least one of the following technical effects:

[0042] The target number of cleaning robots to be called is determined by the DC power reduction value specified in the power rationing command. The target number of cleaning robots is then used to shade the photovoltaic arrays in the target photovoltaic power station, thereby reducing the power generation of the photovoltaic arrays and thus reducing the DC power to meet the power rationing command. This method can meet the power rationing requirements without adjusting the inverter's power output, which can significantly improve the stability of the inverter and extend its service life. Furthermore, by reusing cleaning robots, no additional construction costs are involved, and it has high adjustment precision, accuracy, and flexibility, as well as low construction costs.

[0043] Furthermore, by constructing a target association table for each power station under the corresponding parameter information, the target number of cleaning robots to be retrieved can be obtained based on the current actual limited issuance command. The operation is simple and convenient, with high accuracy and fast calculation speed.

[0044] Furthermore, by selecting the corresponding power restriction adjustment strategy based on the power restriction percentage, the most suitable adjustment strategy can be chosen based on the actual power restriction situation. This has high flexibility and a wide range of application scenarios. While meeting the power restriction instructions, it can effectively ensure the stability of the inverter and extend the service life of the inverter.

[0045] Furthermore, by using the principle of maximizing shadow occlusion, controlling the target number of cleaning robots to occlude the photovoltaic array can achieve dispersed occlusion, reducing the probability of overlapping occlusion areas caused by the cleaning robots and improving the reduction effect on the power generation of the photovoltaic array.

[0046] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0047] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which:

[0048] Figure 1 This is one of the flowcharts illustrating the power limiting method for the target photovoltaic power plant provided in the embodiments of this application;

[0049] Figure 2 This is a second schematic flowchart of the power limiting method for the target photovoltaic power station provided in the embodiments of this application;

[0050] Figure 3 This is a schematic diagram illustrating the execution result of the power limiting method for the target photovoltaic power plant provided in the embodiments of this application;

[0051] Figure 4 This is a schematic diagram of the structure of the power limiting device for the target photovoltaic power station provided in the embodiments of this application;

[0052] Figure 5 This is a schematic diagram of the control system of the power limiting method for the target photovoltaic power plant provided in the embodiments of this application;

[0053] Figure 6 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0054] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0055] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0056] The following description, in conjunction with the accompanying drawings, details the power limiting method, power limiting device, photovoltaic system, and readable storage medium for the target photovoltaic power station provided in this application, through specific embodiments and application scenarios.

[0057] The power limiting method for the target photovoltaic power station can be applied to the terminal, and can be executed by the hardware or software in the terminal.

[0058] The power limiting method for a target photovoltaic power station provided in this application embodiment can be implemented by a photovoltaic system or a functional module or entity within the photovoltaic system that can implement the power limiting method for the target photovoltaic power station. The power limiting method for a target photovoltaic power station provided in this application embodiment will be described below using a photovoltaic system as the implementing entity as an example.

[0059] like Figure 1 As shown, the power limiting method for the target photovoltaic power station includes steps 110, 120 and 130.

[0060] Step 110: Determine the DC power reduction value based on the acquired power restriction instruction;

[0061] In this step, the target photovoltaic power station can be any power station that needs to be subject to power limiting.

[0062] The target photovoltaic power station is equipped with a photovoltaic array, which consists of multiple photovoltaic strings.

[0063] In actual implementation, the target photovoltaic power station is equipped with a certain number of cleaning robots.

[0064] The cleaning robot can run along a predetermined track to clean photovoltaic strings, etc.

[0065] A power generation restriction order is an order used to instruct on limiting the power generation of a target photovoltaic power plant.

[0066] The issuance restriction order may include limiting the issuance power or the issuance percentage.

[0067] In practice, the power grid can send power limiting instructions to the target photovoltaic power station or photovoltaic system through SCADA (Supervisory and Data Acquisition System).

[0068] After the target photovoltaic power station receives the power generation restriction order, it can send the power generation restriction order to the inverter and control module.

[0069] The DC power reduction value is the amount of DC power that needs to be reduced in response to the power restriction order.

[0070] In some embodiments, the DC power reduction can be expressed as a percentage.

[0071] like Figure 2 As shown, in some embodiments, step 110 may include:

[0072] Based on the issuance restriction order, determine the issuance restriction percentage;

[0073] If the power restriction percentage is greater than the call threshold, the DC power reduction value is determined based on the power restriction percentage.

[0074] In this embodiment, taking the power limitation instruction as an example, the power limitation percentage can be calculated using the following formula:

[0075] n=(Pl-Pn) / Pn

[0076] Where n is the percentage of power restricted; Pl is the power restricted; and Pn is the current power.

[0077] When the issuance restriction order includes a issuance restriction percentage, the issuance restriction percentage can be obtained directly from the issuance restriction order.

[0078] The trigger threshold is the minimum percentage of calls required to activate the cleaning robot.

[0079] The threshold for triggering calls can be user-defined.

[0080] It is understandable that when the call threshold is 0, that is, after receiving the limited-call instruction, the cleaning robot is triggered.

[0081] In some embodiments, after step 110, the method may further include:

[0082] Based on the issuance restriction order, determine the issuance restriction percentage;

[0083] When the power generation limitation percentage is not greater than the triggering threshold, the power of the target photovoltaic power station is adjusted based on the inverter.

[0084] In this embodiment, if the power limiting percentage is not greater than the trigger threshold, it can be approximated that the adjustment range is low. At this time, conventional power limiting methods are used, such as increasing the DC voltage and reducing the DC current to limit the DC power. The loss to the inverter is small and can be ignored.

[0085] According to the power limiting method for the target photovoltaic power plant provided in the embodiments of this application, the corresponding power limiting adjustment strategy is selected based on the power limiting percentage. The most suitable adjustment strategy can be selected based on the actual power limiting situation, which has high flexibility and wide application scenarios. While meeting the power limiting instructions, it can effectively ensure the stability of the inverter and extend the service life of the inverter.

[0086] If the percentage of power generation restriction exceeds the threshold, using conventional power generation restriction methods will cause significant losses to the inverter. In this case, the power generation of the photovoltaic power station can be reduced by methods such as shading the photovoltaic array to achieve the purpose of power generation restriction.

[0087] In some embodiments, determining the DC power reduction based on the power limiting percentage may include:

[0088] The DC power reduction value is limited to between the power limit percentage and the call threshold.

[0089] In this embodiment, a range interval [x, n] can be constructed based on the power limitation percentage n and the call threshold x, and then any value within this range can be taken as the DC power reduction value y.

[0090] That is, the maximum value of the DC power reduction is the percentage of power restriction, and the minimum value is the trigger threshold.

[0091] In some embodiments, determining the DC power reduction based on the power limiting percentage may include:

[0092] The percentage of power reduction is defined as the reduction in DC power.

[0093] In this embodiment, the power reduction percentage can be directly determined as the DC power reduction value.

[0094] Step 120: Based on the DC power reduction value and the parameter information of the target photovoltaic power station, determine the target number of cleaning robots to be called;

[0095] In this step, the target number is the number of cleaning robots that need to be called to shade the photovoltaic strings.

[0096] The target number ranges from 0 to the total number of cleaning robots included in the target photovoltaic power station.

[0097] The parameter information of the target photovoltaic power station may include, but is not limited to: the latitude and longitude of the target photovoltaic power station, the tilt angle of the photovoltaic modules, the azimuth angle of the photovoltaic modules, the distance between the front and rear rows, the height above the ground, the string arrangement, the number of strings, the number of photovoltaic modules in the strings, and the distribution of the inverter's connected strings.

[0098] Understandably, the parameter information of the target photovoltaic power station is one of the main factors affecting the power generation of the target photovoltaic power station. After calculating the DC power reduction value, combined with the parameter information of the target photovoltaic power station, the number of cleaning robots required to reduce the DC power reduction value can be determined.

[0099] like Figure 2 As shown, in some embodiments, step 120 may further include: determining the target number of cleaning robots to be called based on the DC power reduction value, the parameter information of the target photovoltaic power station, and the environmental parameters of the area where the target photovoltaic power station is located.

[0100] In this embodiment, environmental parameters may include irradiation and temperature, etc.

[0101] By combining calculations based on factors such as irradiation and temperature, the accuracy of the calculation results can be further improved, bringing them closer to the indicators corresponding to the emission restriction order.

[0102] In some embodiments, step 120 can be performed using a pre-trained model, such as inputting the DC power reduction value and parameter information of the target photovoltaic power station into the model to obtain the target quantity predicted by the model.

[0103] The model can be a neural network model, etc., which can be trained based on historical data before application.

[0104] In some embodiments, step 120 may include:

[0105] Obtain the target association table corresponding to the target photovoltaic power plant and its parameter information;

[0106] The target quantity is determined based on the number of candidate values ​​corresponding to the DC power reduction value in the target association table.

[0107] In this embodiment, the target association table is used to characterize the correspondence between the candidate power generation reduction value of the target photovoltaic power station and the candidate number of cleaning robots called for shading under the action of parameter information.

[0108] The target association table can be pre-built based on historical data and experimental data. The construction method of the target association table will be described in the following embodiments, and will not be repeated here.

[0109] Table 1 shows the target association table corresponding to a certain power station.

[0110] Table 1

[0111] Simulation serial number Obstruction (number of candidate cleaning robots) Candidate power generation decline value 1 1 0.05％ 2 2 0.06％ 3 3 0.1％ … … … m m R

[0112] Among them, the candidate power generation reduction value can be expressed as the percentage reduction in power generation of the power station; m is the total number of cleaning robots included in the target photovoltaic power station, and m is a positive integer; R is the maximum value of the candidate power generation reduction value, which is also the maximum value of the command power that the target photovoltaic power station can reduce under the corresponding parameter information when all cleaning robots are called to provide shading, 0≤R≤100%.

[0113] The target quantity can be determined based on the DC power reduction value by looking up the table.

[0114] If a candidate power reduction value that matches the DC power reduction value can be obtained directly from the target association table, such as when the DC power reduction value is 0.1%, the target quantity can be determined as 3 by looking up Table 1, that is, 3 cleaning robots can be called.

[0115] In some embodiments, determining the target quantity based on the number of candidate values ​​corresponding to the DC power reduction value in the target association table may include:

[0116] Identify the candidate power generation reduction value that is closest to the DC power reduction value from the target correlation table;

[0117] The number of candidates corresponding to the closest candidate power generation decrease value is determined as the target number.

[0118] In this embodiment, if a candidate power generation reduction value that matches the DC power reduction value cannot be found in the target association table, the candidate power generation reduction value that is closest to the DC power reduction value can be obtained first, and the number of candidates corresponding to the closest candidate power generation reduction value can be determined as the target number.

[0119] Taking Table 1 as an example, when the DC power reduction value is 0.07%, the candidate power reduction value closest to 0.07% can be obtained by looking up Table 1, which is 0.06%. The target quantity is determined as the candidate quantity 2 corresponding to the candidate power reduction value of 0.06%, that is, it is determined to call 2 cleaning robots.

[0120] In some embodiments, determining the target quantity based on the number of candidate values ​​corresponding to the DC power reduction value in the target association table may include:

[0121] If the DC power reduction value is greater than the maximum value of the candidate power reduction values ​​included in the target association table, the target number will be determined as the total number of cleaning robots.

[0122] In this embodiment, if the calculated DC power reduction value is greater than the maximum value of the candidate power generation reduction value included in the target association table, it indicates that the power limiting percentage exceeds the shading influence range of all the cleaning robots included in the target photovoltaic power station. In this case, the target number is determined as the total number of cleaning robots to maximize the shading range and make it closer to the power limiting percentage.

[0123] According to the power limiting method for target photovoltaic power plants provided in the embodiments of this application, a target association table for each power plant under the corresponding parameter information is constructed to obtain the target number of cleaning robots to be called based on the current actual power limiting command. The operation is simple and convenient, with high accuracy and fast calculation speed.

[0124] Step 130: Control the target number of cleaning robots to shield the photovoltaic array in the target photovoltaic power station.

[0125] In this step, after the target number is calculated through steps 110 to 120, the target number of cleaning robots can be called from all the cleaning robots included in the target photovoltaic power station to shade the photovoltaic array, thereby reducing the power generation of the photovoltaic array and reducing the DC power output to meet the power limiting command.

[0126] In actual execution, each cleaning robot can be assigned a unique identifier (such as a number or ID). After determining the target number, the number of the cleaning robot to be called is determined based on the target number, and a scheduling command to perform shading is sent to the cleaning robot with the corresponding number. The cleaning robot responds to the scheduling command and shades the photovoltaic array.

[0127] like Figure 3 As shown, the photovoltaic array includes multiple photovoltaic strings and is equipped with a certain number of cleaning robots. When not in operation, the cleaning robots are parked at designated parking positions, such as cleaning robot 2 parked on the parking track.

[0128] Understandably, when the cleaning robot is parked at its designated stopping position, it generally does not obstruct the photovoltaic strings.

[0129] When a cleaning robot is used to shade the photovoltaic strings, the robot moves from its designated track to the photovoltaic strings and stops at a stationary position to shade them. Figure 3 In the middle, the cleaning robot 1 blocks the group 1.

[0130] The stationary position is the position where the cleaning robot stops when performing shadow occlusion.

[0131] When there are multiple targets, multiple cleaning robots can be controlled to run on the photovoltaic strings to block them. For example, cleaning robot 1 and cleaning robot 2 can be controlled to run to different positions on string 1 to block string 1; cleaning robot 3 can be controlled to run on string 2 to block string 2.

[0132] In some embodiments, step 130 may include:

[0133] The number of cleaning robots controlled is determined by proximity and they move to the nearest photovoltaic string to block it.

[0134] For example, after receiving a scheduling instruction to perform occlusion, the cleaning robot 1 responds to the scheduling instruction by moving to the nearest cluster and occluding the first component in the cluster.

[0135] Understandably, during the entire adjustment process, there is no need to adjust the power through the inverter, thus avoiding increased internal losses in the inverter, effectively improving the inverter's stability, and extending its service life.

[0136] According to the power limiting method for a target photovoltaic power station provided in this application embodiment, the target number of cleaning robots to be called is determined by the DC power reduction value determined by the power limiting command. The target number of cleaning robots is then called to shade the photovoltaic array in the target photovoltaic power station to reduce the power generation of the photovoltaic array, thereby reducing the DC power to meet the power limiting command. This method can meet the power limiting requirements without adjusting the inverter's power, which can significantly improve the stability of the inverter and extend its service life. Furthermore, by reusing the cleaning robots, the operation and maintenance capabilities of the cleaning robots in the power station are improved without involving additional construction costs. It has high adjustment accuracy, precision, and flexibility, as well as low construction costs.

[0137] In some embodiments, step 130 may include:

[0138] When the number of targets is greater than 1, the cleaning robots that control the number of targets will block the photovoltaic array based on the principle of maximizing shadow occlusion.

[0139] In this embodiment, the principle of maximizing shadow occlusion means that, while keeping the number of cleaning robots called up constant, the degree of shadow occlusion of the photovoltaic array by all called-up cleaning robots is maximized.

[0140] Continue to refer to Figure 3 For example, if the target quantity is 2, cleaning robots 1 and 2 can be used to shade the photovoltaic array.

[0141] When cleaning robots 1 and 2 are controlled to run on string 1 respectively, with cleaning robot 1 shading the first photovoltaic module and cleaning robot 2 shading the second photovoltaic module; if the area or size of the cleaning robots is large, there may be overlapping shading areas between cleaning robots 1 and 2, which may affect the reduction effect on the power generation of the photovoltaic array.

[0142] When the cleaning robot 1 is controlled to shade the first two or three photovoltaic modules on string 1, and the cleaning robot 2 is controlled to shade the fourth and subsequent photovoltaic modules on string 1, the probability of overlapping shading areas caused by the cleaning robot can be reduced, maximizing the shading effect and thus improving the reduction effect on the power generation of the photovoltaic array.

[0143] In actual execution, the correspondence between each cleaning robot and the area of ​​the photovoltaic string / photovoltaic module it is shading can be pre-constructed based on the principle of maximizing shadow occlusion. In subsequent calls, only a scheduling instruction to perform occlusion needs to be sent to the corresponding cleaning robot, and the cleaning robot can run to the corresponding area to shade the photovoltaic module in that area.

[0144] In some embodiments, the correspondence between the cleaning robot and the areas of the photovoltaic strings / photovoltaic modules it blocks can be user-defined.

[0145] In some embodiments, the number of photovoltaic modules corresponding to the cleaning robot can be determined based on the size of the cleaning robot; then, based on the number of modules, a correspondence can be constructed between the cleaning robot and the area of ​​the photovoltaic string / photovoltaic module it shades.

[0146] In some embodiments, the cleaning robot and the photovoltaic string can be configured in a one-to-one correspondence, with one cleaning robot blocking one photovoltaic string.

[0147] For example, taking a photovoltaic array consisting of 8 photovoltaic strings connected to an inverter, a cleaning robot 1 can be set up to block the photovoltaic modules of string 1, and a cleaning robot 2 can be set up to block the photovoltaic modules on other strings besides string 1. Through distributed blocking, the impact (reduction) on power is maximized.

[0148] According to the power limiting method for the target photovoltaic power station provided in the embodiments of this application, by using the principle of maximizing shading, the target number of cleaning robots is controlled to shade the photovoltaic array, which can achieve dispersed shading, reduce the probability of overlapping shading areas caused by the cleaning robots, and improve the effect of reducing the power generation of the photovoltaic array.

[0149] The following explains how the target association table is constructed.

[0150] In some embodiments, prior to step 120, the method may further include:

[0151] Based on the parameter information of the target photovoltaic power station and the basic information of the cleaning robot in the target photovoltaic power station, a power generation calculation model is constructed.

[0152] The power generation reduction value output by the power calculation model is obtained when the cleaning robot blocks the target photovoltaic power station under various candidate numbers.

[0153] Based on the number of candidates and the corresponding decrease in candidate power generation, a target association table is constructed that corresponds to the target photovoltaic power plant and its parameter information.

[0154] In this embodiment, the basic information of the cleaning robot may include: the identification of the cleaning robot (such as number 1 / 2 / 3...), the size of the cleaning robot (such as length and width), and the total number of cleaning robots included in the target photovoltaic power station.

[0155] During the modeling process, PVsyst or other simulation and measurement models can be used for modeling.

[0156] First, a 3D model of the target photovoltaic power station is created. For example, the target photovoltaic power station is modeled based on the corresponding parameter information, such as the component model, tilt angle, azimuth angle, front and rear row spacing, ground clearance, specific distribution of strings, and the correspondence between inverters and connected strings.

[0157] Based on the modeling of the target photovoltaic power station, the distribution of the cleaning robots is refined based on the basic information of the cleaning robots in the target photovoltaic power station (such as the identification and number of cleaning robots), and a correspondence is established with the photovoltaic array and inverter. For example, the correspondence between each cleaning robot and its corresponding shading area is constructed to refine the model.

[0158] Then, based on the size of the cleaning robot and the power station model, a power calculation model is established. Each cleaning robot is controlled to block different photovoltaic strings. By adjusting the number of cleaning robots used for blocking, the model is built with the output impact on the power generation of the target photovoltaic power station (such as the decrease in power generation) as the objective, and the power calculation model is obtained.

[0159] For example, based on the total number of cleaning robots in the target photovoltaic power station, from 1 to m, all shading situations are traversed, and the corresponding power generation impact is listed, thus obtaining the target association table shown in Table 1.

[0160] In some embodiments, continue to refer to Figure 2Furthermore, in the process of constructing the power consumption calculation model, environmental parameters can also be incorporated into the model to further improve the accuracy and precision of the power consumption calculation model.

[0161] According to the power limiting method for target photovoltaic power plants provided in the embodiments of this application, a target association table for each power plant under the corresponding parameter information is constructed to obtain the target number of cleaning robots to be called based on the current actual power limiting command. The operation is simple and convenient, with high accuracy and fast calculation speed.

[0162] In actual implementation, the following methods can be adopted: Figure 5 The background control system shown executes the method of this application.

[0163] like Figure 5 As shown, the background control system includes: a computing module, a data acquisition module, and a communication module.

[0164] The communication module is responsible for receiving power grid restriction instructions and environmental parameters from the meteorological station, and forwarding the received data to the computing module via the data acquisition module.

[0165] The calculation module is equipped with a power measurement model (i.e., a photovoltaic measurement model) to determine the target number of cleaning robots to be called based on the power limitation command, generate a call command based on the target number, and send the call command to the corresponding cleaning robot so that the cleaning robot can block the photovoltaic array.

[0166] The power limiting method for a target photovoltaic power plant provided in this application can be executed by a power limiting device of the target photovoltaic power plant. This application uses the example of a power limiting device of the target photovoltaic power plant executing the power limiting method to illustrate the power limiting device for the target photovoltaic power plant provided in this application.

[0167] This application also provides a power limiting device for a target photovoltaic power plant.

[0168] The target photovoltaic power station is equipped with at least one cleaning robot.

[0169] like Figure 4 As shown, the power limiting device for the target photovoltaic power station includes: a first processing module 410, a second processing module 420, and a third processing module 430.

[0170] The first processing module 410 is used to determine the DC power reduction value based on the acquired power restriction instruction;

[0171] The second processing module 420 is used to determine the target number of cleaning robots to be called based on the DC power reduction value and the parameter information of the target photovoltaic power station.

[0172] The third processing module 430 is used to control a target number of cleaning robots to shield the photovoltaic array in the target photovoltaic power station.

[0173] According to the power limiting device for a target photovoltaic power station provided in this application embodiment, the target number of cleaning robots to be called is determined by the DC power reduction value determined by the power limiting command. The target number of cleaning robots is called to shade the photovoltaic array in the target photovoltaic power station to reduce the power generation of the photovoltaic array, thereby reducing the DC power to meet the power limiting command. The power limiting requirements can be met without adjusting the inverter, which can significantly improve the stability of the inverter and extend the service life of the inverter. Moreover, by reusing the cleaning robots, no additional construction costs are involved, which has high adjustment accuracy, precision and flexibility, as well as low construction costs.

[0174] In some embodiments, the first processing module 410 may also be used for:

[0175] Based on the issuance restriction order, determine the issuance restriction percentage;

[0176] If the power restriction percentage is greater than the call threshold, the DC power reduction value is determined based on the power restriction percentage.

[0177] In some embodiments, the first processing module 410 may also be used for:

[0178] The DC power reduction value is limited to between the power limit percentage and the call threshold.

[0179] In some embodiments, the second processing module 420 may also be used for:

[0180] Obtain the target association table corresponding to the target photovoltaic power station and parameter information; the target association table is used to characterize the correspondence between the candidate power generation reduction value of the target photovoltaic power station and the candidate number of cleaning robots under the influence of parameter information;

[0181] The target quantity is determined based on the number of candidate values ​​corresponding to the DC power reduction value in the target association table.

[0182] In some embodiments, the second processing module 420 may also be used for:

[0183] Identify the candidate power generation reduction value that is closest to the DC power reduction value from the target correlation table;

[0184] The number of candidates corresponding to the closest candidate power generation decrease value is determined as the target number.

[0185] In some embodiments, the second processing module 420 may also be used for:

[0186] If the DC power reduction value is greater than the maximum value of the candidate power reduction values ​​included in the target association table, the target number will be determined as the total number of cleaning robots.

[0187] In some embodiments, the device may further include a fourth processing module for:

[0188] Before determining the target number of cleaning robots to be called based on the DC power reduction value and the parameter information of the target photovoltaic power station, a power calculation model is constructed based on the parameter information corresponding to the target photovoltaic power station and the basic information of the cleaning robots in the target photovoltaic power station.

[0189] The power generation reduction value output by the power calculation model is obtained when the cleaning robot blocks the target photovoltaic power station under various candidate numbers.

[0190] Based on the number of candidates and the corresponding decrease in candidate power generation, a target association table is constructed that corresponds to the target photovoltaic power plant and its parameter information.

[0191] In some embodiments, the device may further include a fifth processing module for:

[0192] After determining the DC power reduction value based on the acquired power restriction instruction, the power restriction percentage is then determined based on the power restriction instruction.

[0193] When the power generation limitation percentage is not greater than the triggering threshold, the power of the target photovoltaic power station is adjusted based on the inverter.

[0194] In some embodiments, the third processing module 430 can also be used for:

[0195] When the number of targets is greater than 1, the cleaning robots that control the number of targets will block the photovoltaic array based on the principle of maximizing shadow occlusion.

[0196] The power limiting device for the target photovoltaic power station in this application embodiment can be an electronic device or a component within an electronic device, such as an integrated circuit or a chip. The electronic device can be a terminal or other devices besides a terminal. For example, the electronic device can be a mobile phone, tablet computer, laptop computer, PDA, in-vehicle electronic device, mobile internet device (MID), augmented reality (AR) / virtual reality (VR) device, robot, wearable device, ultra-mobile personal computer (UMPC), netbook, or personal digital assistant (PDA), etc. It can also be a server, network attached storage (NAS), personal computer (PC), television (TV), ATM, or self-service machine, etc. This application embodiment does not specifically limit the specific implementation.

[0197] The power limiting device for the target photovoltaic power station in this embodiment can be a device with an operating system. This operating system can be Android, iOS, or other possible operating systems; this embodiment does not specifically limit the specific operating system used.

[0198] The power limiting device for the target photovoltaic power station provided in this application embodiment can achieve Figures 1 to 3 The various processes implemented in the method implementation examples will not be described again here to avoid repetition.

[0199] This application also provides a photovoltaic system.

[0200] The photovoltaic system includes a photovoltaic array and at least one cleaning robot.

[0201] The cleaning robot operates based on the power limiting method of the target photovoltaic power station as described in any of the above embodiments.

[0202] According to the photovoltaic system provided in this application embodiment, the target number of cleaning robots to be called is determined by the DC power reduction value determined by the power limiting command. The target number of cleaning robots is called to shade the photovoltaic array in the target photovoltaic power station to reduce the power generation of the photovoltaic array, thereby reducing the DC power to meet the power limiting command. The power limiting requirements can be met without adjusting the inverter, which can significantly improve the stability of the inverter and extend the service life of the inverter. Moreover, by reusing the cleaning robots, no additional construction costs are involved, which has high adjustment accuracy, precision and flexibility, as well as low construction costs.

[0203] In some embodiments, such as Figure 6 As shown, this application embodiment also provides an electronic device 600, including a processor 601, a memory 602, and a computer program stored in the memory 602 and executable on the processor 601. When the program is executed by the processor 601, it implements the various processes of the above-described power limiting method embodiment for the target photovoltaic power station and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0204] It should be noted that the electronic devices in the embodiments of this application include the mobile electronic devices and non-mobile electronic devices described above.

[0205] This application also provides a non-transitory computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the various processes of the above-described power limiting method embodiment for the target photovoltaic power station and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0206] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0207] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the power limiting method for the aforementioned target photovoltaic power plant.

[0208] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0209] This application embodiment also provides a chip, which includes a processor and a communication interface. The communication interface and the processor are coupled. The processor is used to run programs or instructions to implement the various processes of the above-described power limiting method embodiment for the target photovoltaic power station, and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0210] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

[0211] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0212] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a computer software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0213] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

[0214] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0215] Although embodiments of this application have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of this application, the scope of which is defined by the claims and their equivalents.

Claims

1. A power limiting method for a target photovoltaic power station, characterized in that, The target photovoltaic power station is equipped with at least one cleaning robot; the method includes: Based on the acquired power reduction instruction, determine the DC power reduction value; Based on the DC power reduction value and the parameter information of the target photovoltaic power station, the target number of the cleaning robots to be called is determined; The cleaning robots, controlled by the target number, shade the photovoltaic array within the target photovoltaic power station.

2. The power limiting method for the target photovoltaic power station according to claim 1, characterized in that, The determination of the DC power reduction value based on the acquired power limiting instruction includes: Based on the issuance restriction order, the issuance restriction percentage is determined; If the power restriction percentage is greater than the triggering threshold, the DC power reduction value is determined based on the power restriction percentage.

3. The power limiting method for the target photovoltaic power station according to claim 2, characterized in that, Determining the DC power reduction value based on the power limitation percentage includes: The DC power reduction value is limited to between the power limiting percentage and the call threshold.

4. The power limiting method for the target photovoltaic power station according to any one of claims 1-3, characterized in that, The determination of the target number of cleaning robots to be called based on the DC power reduction value and the parameter information of the target photovoltaic power station includes: Obtain a target association table corresponding to the target photovoltaic power station and the parameter information; the target association table is used to characterize the correspondence between the candidate power generation reduction value of the target photovoltaic power station and the candidate number of cleaning robots under the action of the parameter information; The target quantity is determined based on the number of candidate values ​​corresponding to the DC power reduction value in the target association table.

5. The power limiting method for the target photovoltaic power station according to claim 4, characterized in that, Determining the target quantity based on the number of candidate values ​​corresponding to the DC power reduction value in the target association table includes: From the target correlation table, determine the candidate power generation reduction value that is closest to the DC power reduction value; The number of candidates corresponding to the closest candidate power generation decrease value is determined as the target number.

6. The power limiting method for the target photovoltaic power station according to claim 4, characterized in that, Determining the target quantity based on the number of candidate values ​​corresponding to the DC power reduction value in the target association table includes: If the DC power reduction value is greater than the maximum value of the candidate power generation reduction values ​​included in the target association table, the target number is determined as the total number of the cleaning robots.

7. The power limiting method for the target photovoltaic power station according to any one of claims 1-3, characterized in that, Before determining the target number of cleaning robots to be called based on the DC power reduction value and the parameter information of the target photovoltaic power station, the method further includes: Based on the parameter information corresponding to the target photovoltaic power station and the basic information of the cleaning robot in the target photovoltaic power station, a power calculation model is constructed. The power generation reduction value output by the power calculation model is obtained when the cleaning robot blocks the target photovoltaic power station under various candidate quantities. Based on the number of candidates and the corresponding decrease in candidate power generation, a target association table is constructed that corresponds to the target photovoltaic power station and the parameter information.

8. The power limiting method for the target photovoltaic power station according to any one of claims 1-3, characterized in that, After determining the DC power reduction value based on the acquired power limitation command, the method further includes: Based on the issuance restriction order, the issuance restriction percentage is determined; If the power generation limitation percentage is not greater than the triggering threshold, the power of the target photovoltaic power station is adjusted based on the inverter.

9. The power limiting method for the target photovoltaic power station according to any one of claims 1-3, characterized in that, The control of the target number of cleaning robots to shade the photovoltaic array within the target photovoltaic power station includes: When the number of targets is greater than 1, the cleaning robot controls the number of targets to block the photovoltaic array based on the principle of maximizing shadow occlusion.

10. A power limiting device for a target photovoltaic power station, characterized in that, The target photovoltaic power station is equipped with at least one cleaning robot; the device includes: The first processing module is used to determine the DC power reduction value based on the acquired power restriction instruction; The second processing module is used to determine the target number of the cleaning robots to be called based on the DC power reduction value and the parameter information of the target photovoltaic power station. The third processing module is used to control the target number of cleaning robots to shield the photovoltaic array in the target photovoltaic power station.

11. A photovoltaic system, characterized in that, include: Photovoltaic array; At least one cleaning robot, said cleaning robot operating based on the power limiting method of the target photovoltaic power plant as described in any one of claims 1-9.

12. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the power limiting method for the target photovoltaic power plant as described in any one of claims 1-9.

13. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the power limiting method for the target photovoltaic power plant as described in any one of claims 1-9.

Images