Photovoltaic tracking support adjusting method and related device

Abstract

The invention discloses a photovoltaic tracking support adjusting method and a related device, which can be used in the field of photovoltaic power generation, and the method comprises the steps: firstly, obtaining real-time meteorological data, real-time electricity price data and a current angle of a photovoltaic tracking support; then, based on the real-time meteorological data, determining a first function relationship between the angle of the photovoltaic tracking bracket and the power generation variation; based on the current angle of the photovoltaic tracking support, determining a second function relationship between the angle of the photovoltaic support and the first electric quantity consumed for adjusting the angle; then, based on the real-time electricity price data, the first function relationship and the second function relationship, calculating a target angle corresponding to the maximum value of the net income; and finally, outputting an adjusting instruction for adjusting the photovoltaic tracking bracket to the target angle. Therefore, under the condition that the electricity price is negative, the loss caused by power generation can be reduced, so that the operation cost of the photovoltaic power plant is reduced; under the scene that the electricity price is positive, the income of the photovoltaic power plant can be improved.

Description

Technical Field

[0001] The present application relates to the field of photovoltaic power generation technology, and in particular to a photovoltaic tracking bracket adjustment method and related devices. Background Art

[0002] With the gradual advancement of the electricity spot market reform, the electricity sales model in which electricity prices fluctuate over time has gradually been promoted.

[0003] At present, in photovoltaic tracking bracket projects, the bracket adjustment tracking algorithm generally aims to achieve the maximum power generation in each period. However, as electricity prices gradually change from fixed prices to prices that fluctuate over time, some electricity spot markets allow negative electricity prices. If the photovoltaic tracking bracket adjustment strategy that maximizes power generation at all times is still adopted, the higher the power generation, the higher the loss will be during certain periods of negative electricity prices, increasing the operating costs of photovoltaic power plants.

[0004] Therefore, how to reduce the operating costs of photovoltaic power plants in the context of spot electricity has become a problem that needs to be solved. Summary of the invention

[0005] Based on the above problems, the present application provides a photovoltaic tracking bracket adjustment method and related devices, which can reduce the operating costs of photovoltaic power plants in the context of spot electricity.

[0006] The embodiments of the present application disclose the following technical solutions:

[0007] In a first aspect, an embodiment of the present application provides a photovoltaic tracking bracket adjustment method, the method comprising:

[0008] Obtain real-time meteorological data, real-time electricity price data, and the current angle of the photovoltaic tracking bracket;

[0009] Based on the real-time meteorological data, determining a first functional relationship between the angle of the photovoltaic tracking bracket and the amount of power generation change; based on the current angle of the photovoltaic tracking bracket, determining a second functional relationship between the angle of the photovoltaic bracket and a first amount of electricity consumed to adjust the angle;

[0010] Calculating a target angle corresponding to a maximum net profit based on the real-time electricity price data, the first functional relationship, and the second functional relationship;

[0011] Output an adjustment instruction for adjusting the photovoltaic tracking bracket to the target angle.

[0012] Optionally, the calculating the target angle corresponding to the maximum net profit based on the real-time electricity price data, the first functional relationship and the second functional relationship includes:

[0013] Based on the real-time electricity price data, the first functional relationship and the second functional relationship, a target angle corresponding to the maximum value of the product of the power difference and the real-time electricity price is calculated; the power difference is the difference between the power generation change and the first power.

[0014] Optionally, the calculating the target angle corresponding to the maximum net profit based on the real-time electricity price data, the first functional relationship and the second functional relationship includes:

[0015] Based on the real-time electricity price data, the first functional relationship and the second functional relationship, a target angle corresponding to the maximum value of the sum of the net revenues of multiple unit time periods within a preset time period is calculated.

[0016] Optionally, before calculating the target angle corresponding to the maximum net profit based on the real-time electricity price data, the first functional relationship and the second functional relationship, the method further includes:

[0017] Obtain the medium- and long-term decomposed electricity volume within the preset time, the unified settlement electricity price of the entire network, and the predicted value of photovoltaic power generation;

[0018] Based on the medium- and long-term decomposed electricity and the photovoltaic power generation forecast value, a power generation deviation value is obtained; based on the network-wide unified settlement electricity price and the real-time electricity price data, a price deviation value is obtained; the power generation deviation value and the price deviation value are both non-negative values;

[0019] Calculating a profit difference based on the power generation deviation value and the price deviation value;

[0020] The calculating the target angle corresponding to the maximum net profit value based on the real-time electricity price data, the first functional relationship and the second functional relationship includes:

[0021] Based on the revenue difference, the real-time electricity price data, the first functional relationship and the second functional relationship, a target angle corresponding to the maximum net revenue is calculated.

[0022] Optionally, before calculating the target angle corresponding to the maximum net profit based on the real-time electricity price data, the first functional relationship and the second functional relationship, the method further includes:

[0023] Determine the angle range of the target angle based on the current angle of the photovoltaic tracking bracket, the adjustable angle range, the maximum rate of angle adjustment, and the maximum time for angle adjustment;

[0024] The calculating the target angle corresponding to the maximum net profit value based on the real-time electricity price data, the first functional relationship and the second functional relationship includes:

[0025] Based on the real-time electricity price data, the first functional relationship and the second functional relationship, a target angle corresponding to the maximum value of the net profit within the angle range is calculated.

[0026] In a second aspect, an embodiment of the present application provides a photovoltaic tracking bracket adjustment device, the device comprising: an acquisition module, a determination module, an angle calculation module and an output module;

[0027] The acquisition module is used to acquire real-time meteorological data, real-time electricity price data and the current angle of the photovoltaic tracking bracket;

[0028] The determination module is used to determine a first functional relationship between the angle of the photovoltaic tracking bracket and the power generation change based on the real-time meteorological data; and to determine a second functional relationship between the angle of the photovoltaic bracket and a first amount of electricity consumed to adjust the angle based on the current angle of the photovoltaic tracking bracket;

[0029] The angle calculation module is used to calculate the target angle corresponding to the maximum net profit based on the real-time electricity price data, the first functional relationship and the second functional relationship;

[0030] The output module is used to output an adjustment instruction for adjusting the photovoltaic tracking bracket to the target angle.

[0031] Optionally, the device further comprises: a difference calculation module;

[0032] The difference calculation module is used to: obtain the medium- and long-term decomposed electricity quantity, the unified settlement electricity price of the whole network and the predicted value of photovoltaic power generation within a preset time; obtain the power generation deviation value based on the medium- and long-term decomposed electricity quantity and the predicted value of photovoltaic power generation; obtain the price deviation value based on the unified settlement electricity price of the whole network and the real-time electricity price data; the power generation deviation value and the price deviation value are both non-negative values; and calculate the profit difference based on the power generation deviation value and the price deviation value;

[0033] The angle calculation module is specifically used to calculate the target angle corresponding to the maximum net profit based on the profit difference, the real-time electricity price data, the first functional relationship and the second functional relationship.

[0034] Optionally, the device further comprises: a range determination module;

[0035] The range determination module is used to determine the angle range of the target angle based on the current angle of the photovoltaic tracking bracket, the adjustable angle range, the maximum rate of angle adjustment, and the maximum time for angle adjustment;

[0036] The angle calculation module is specifically used to calculate the target angle corresponding to the maximum net profit within the angle range based on the real-time electricity price data, the first functional relationship and the second functional relationship.

[0037] In a third aspect, an embodiment of the present application provides a photovoltaic tracking bracket adjustment device, the device comprising: a memory and a processor;

[0038] The memory is used to store program code and transmit the program code to the processor;

[0039] The processor is used to execute the steps of the photovoltaic tracking bracket adjustment method described in any embodiment of the first aspect according to the program code.

[0040] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, in which a computer program is stored. When the computer program is run on a photovoltaic tracking bracket adjustment device, the photovoltaic tracking bracket adjustment device performs the steps of the photovoltaic tracking bracket adjustment method described in any embodiment of the first aspect.

[0041] Compared with the prior art, this application has the following beneficial effects:

[0042] The embodiment of the present application provides a photovoltaic tracking bracket adjustment method, in which, first, real-time meteorological data, real-time electricity price data and the current angle of the photovoltaic tracking bracket are obtained; then, based on the real-time meteorological data, the first functional relationship between the angle of the photovoltaic tracking bracket and the power generation change is determined; based on the current angle of the photovoltaic tracking bracket, the second functional relationship between the angle of the photovoltaic bracket and the first amount of electricity consumed to adjust the angle is determined; then, based on the real-time electricity price data, the first functional relationship and the second functional relationship, the target angle corresponding to the maximum value of the net profit is calculated; finally, the adjustment instruction for adjusting the photovoltaic tracking bracket to the target angle is output. Therefore, in the electricity spot market, the angle of the photovoltaic tracking bracket that maximizes the net profit can be calculated based on the real-time electricity price data and the real-time meteorological data, and the angle of the photovoltaic tracking bracket is adjusted accordingly. In the scenario where the electricity price is negative, the loss caused by power generation can be reduced, thereby reducing the operating cost of the photovoltaic power plant; in the scenario where the electricity price is positive, the income of the photovoltaic power plant can be increased. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 A flow chart of a photovoltaic tracking bracket adjustment method provided in an embodiment of the present application;

[0045] Figure 2 A flow chart of another photovoltaic tracking bracket adjustment method provided in an embodiment of the present application;

[0046] Figure 3 A schematic diagram of a photovoltaic tracking bracket adjustment device provided in an embodiment of the present application;

[0047] Figure 4 A structural diagram of a photovoltaic tracking bracket adjustment device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0048] The photovoltaic tracking bracket adjustment method and related devices provided in the present application can be used in the field of photovoltaic power generation. The above is only an example and does not limit the application field of the photovoltaic tracking bracket adjustment method and related devices provided in the present application.

[0049] The terms "first", "second", "third" and "fourth" etc. in the specification, claims and drawings of this application are used to distinguish different objects rather than to limit a specific order.

[0050] In the embodiments of the present application, the words "as an example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "as an example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of the words "as an example" or "for example" is intended to present the relevant concepts in a specific way.

[0051] The terms used in the implementation section of this application are only used to explain the specific embodiments of this application and are not intended to limit this application.

[0052] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0053] See also Figure 1 , which is a flow chart of a photovoltaic tracking bracket adjustment method provided in an embodiment of the present application, the method comprising:

[0054] S101: Acquire real-time meteorological data, real-time electricity price data, and the current angle of the photovoltaic tracking bracket.

[0055] The photovoltaic tracking bracket is a mechatronic device. By adjusting the angle of the photovoltaic tracking bracket, the angle of the photovoltaic panel can be adjusted, the utilization rate of the photovoltaic panel on solar energy can be changed, and then the power generation of the photovoltaic power plant can be changed.

[0056] As an example, real-time meteorological data can be obtained through local meteorological sensors. The real-time meteorological data may include but is not limited to the meteorological irradiance angle ira agl and meteorological irradiance ira den Among them, the meteorological irradiation angle ira agl It refers to the angle between the sun's rays and the ground. Changes in this angle will affect the amount of solar radiation received by the ground. den It refers to the solar radiation energy received per unit area, which can reflect the intensity and energy distribution of solar radiation. Through these real-time meteorological data, we can better predict the impact of changes in the angle of photovoltaic tracking brackets on power generation.

[0057] Real-time electricity price data can be obtained directly from the power trading center on the grid side. For example, in the spot market of the power trading center, the real-time electricity price is rolled over every 15 minutes, and each clearing covers the real-time electricity price within two hours after the current moment, that is, each clearing will refresh 8 15-minute real-time electricity prices. Based on this, 8 consecutive 15-minute real-time electricity prices can be obtained from the power trading center every 15 minutes.

[0058] Optionally, the current angle of the photovoltaic tracking bracket can be obtained by reading the operating data of the angle sensor or angle drive motor built into the photovoltaic tracking bracket; or by remote monitoring of devices such as LoRa (Long Range, long-distance radio technology) monitoring terminals.

[0059] S102: Based on real-time meteorological data, determine a first functional relationship between the angle of the photovoltaic tracking bracket and the change in power generation; based on the current angle of the photovoltaic tracking bracket, determine a second functional relationship between the angle of the photovoltaic bracket and a first amount of electricity consumed to adjust the angle.

[0060] Specifically, as the angle of the photovoltaic tracking bracket changes, the photovoltaic power generation will change compared to maintaining the current angle of the photovoltaic tracking bracket. The power generation change in time period t is recorded as Δq t re The photovoltaic tracking bracket is in the period t from the current angle agl t 0 Adjust to angle agl t 1 ,The first functional relationship between the angle of the photovoltaic tracking bracket and the change in power generation is: Δqt re =F(agl t 1 ,ira agl ,ira den ).

[0061] On the other hand, driving the photovoltaic tracking bracket to adjust the angle consumes electricity. The first amount of electricity consumed to adjust the angle within the t period is recorded as Q t brk , the second functional relationship between the angle to which the photovoltaic bracket is adjusted and the first power consumption required to adjust the angle: Q t brk =G(agl t 0 ,agl t 1 ), where agl t 0 The current angle of the photovoltaic tracking bracket.

[0062] It can be understood that function F and function G are functions corresponding to the photovoltaic tracking bracket actually used, and for multiple photovoltaic tracking brackets of the same model, function F and function G may be the same.

[0063] S103: Calculate the target angle corresponding to the maximum net profit based on the real-time electricity price data, the first functional relationship and the second functional relationship.

[0064] Optionally, the target angle corresponding to the maximum value of the product of the power difference and the real-time power price can be calculated based on the real-time power price data, the first functional relationship and the second functional relationship; wherein the power difference is the difference between the power generation change and the first power.

[0065] Specifically, the real-time electricity price data may include real-time electricity prices for multiple unit periods, where the length of a unit period is the time interval between two consecutive rolling clearings of the real-time electricity price. For example, if the length of a unit period is 15 minutes, and the t period is 10:00-10:15, then the t+1 period is 10:15-10:30. The real-time electricity price for the t period is denoted as p t r , according to the formula: max(Δq t re ×p t r -Q t brk ×p t r ), the angle corresponding to the maximum value of the product of the electricity difference and the real-time electricity price during time period t can be calculated and used as the target angle.

[0066] Optionally, the target angle corresponding to the maximum value of the product of the power difference and the real-time power price within a preset time period can be calculated based on the real-time power price data, the first functional relationship, and the second functional relationship. The preset time period can be the sum of n unit time periods, n is a positive integer, and n is less than or equal to the maximum number of unit time periods included in the real-time power price data. For example, if the preset time period is one hour and each unit time period is 15 minutes, then n is 4. According to the formula: max∑ t t+n-1 (Δq t re ×p t r -Q t brk ×p t r ), calculate the angle corresponding to the maximum value of the sum of the net income of multiple unit time periods within the preset time length, and use it as the target angle.

[0067] The value of n can be flexibly selected within its allowable range. Since the accuracy of the corresponding real-time electricity price may be worse for the unit period farther away from the current moment, and on the other hand, the angle adjustment of the photovoltaic tracking bracket also takes time, considering these two factors comprehensively, n can be set to 4.

[0068] Therefore, when the real-time electricity price is negative, each kilowatt-hour of electricity generated will incur a loss. At this time, according to the calculation method provided in this embodiment, the target angle of the photovoltaic tracking bracket will be determined as the angle with the lowest power generation, so that the amount of electricity supplied to the power grid in this scenario is as low as possible, reducing the operating cost of the photovoltaic power plant; when the real-time electricity price is 0, according to the calculation method provided in this embodiment, the target angle of the photovoltaic tracking bracket will be determined as the current angle, so that the photovoltaic tracking bracket stops adjusting the angle, avoiding additional power consumption caused by adjusting the angle and reducing hardware wear; when the real-time electricity price is positive, according to the calculation method provided in this embodiment, the target angle of the photovoltaic tracking bracket will be determined as the angle with the highest power generation, thereby increasing the revenue of the photovoltaic power plant.

[0069] S104: Outputting an adjustment instruction for adjusting the photovoltaic tracking bracket to a target angle.

[0070] As an example, an adjustment instruction for adjusting the photovoltaic tracking bracket to a target angle can be output to a network control unit (NCU), and then the NCU distributes the adjustment instruction to multiple tracker control units (TCU) in the photovoltaic power plant. The TCU executes the action of adjusting the angle of the photovoltaic tracking bracket to adjust the angle of the photovoltaic tracking bracket to the target angle.

[0071] In the embodiment of the present application, first, real-time meteorological data, real-time electricity price data and the current angle of the photovoltaic tracking bracket are obtained; then, based on the real-time meteorological data, the first functional relationship between the angle of the photovoltaic tracking bracket and the power generation change is determined; based on the current angle of the photovoltaic tracking bracket, the second functional relationship between the angle of the photovoltaic bracket and the first amount of electricity consumed to adjust the angle is determined; then, based on the real-time electricity price data, the first functional relationship and the second functional relationship, the target angle corresponding to the maximum value of the net profit is calculated; finally, an adjustment instruction for adjusting the photovoltaic tracking bracket to the target angle is output. Thus, in the electricity spot market, the angle of the photovoltaic tracking bracket that maximizes the net profit can be calculated based on the real-time electricity price data and the real-time meteorological data, and the angle of the photovoltaic tracking bracket is adjusted accordingly. In the scenario where the electricity price is negative, the loss caused by power generation can be reduced, thereby reducing the operating cost of the photovoltaic power plant; in the scenario where the electricity price is positive, the income of the photovoltaic power plant can be increased.

[0072] See also Figure 2 , which is a flow chart of another photovoltaic tracking bracket adjustment method provided in an embodiment of the present application, the method comprising:

[0073] S201: Acquire real-time meteorological data, real-time electricity price data, the current angle of the photovoltaic tracking bracket, the medium- and long-term decomposed electricity volume within a preset time, the unified settlement electricity price of the entire network, and the predicted value of photovoltaic power generation.

[0074] Specifically, the medium and long term decomposition of electricity q t l It refers to the demand for power generation in a certain period of time in the future. According to the load characteristics of different time periods in a day, the contracted electricity can be allocated to different time periods, so as to obtain the medium- and long-term decomposed electricity in multiple time periods.

[0075] Unified settlement electricity price for the entire network t all Refers to the average electricity price after a settlement period, which can be obtained from the power trading center or other relevant institutions, where a settlement period can be one day. In this embodiment, the photovoltaic power plant can choose to trade part of the power generation in the power spot market, and the other part of the power generation is settled according to the unified settlement price of the whole network.

[0076] Photovoltaic power generation forecast value Q t 0 The power generation of the photovoltaic power plant in a unit time period can be predicted using the power prediction system in the photovoltaic power plant.

[0077] 202: Based on real-time meteorological data, determine a first functional relationship between the angle of the photovoltaic tracking bracket and the power generation change; based on the current angle of the photovoltaic tracking bracket, determine a second functional relationship between the angle of the photovoltaic bracket and a first amount of electricity consumed to adjust the angle.

[0078] S203: Based on the medium- and long-term decomposed electricity volume and the photovoltaic power generation forecast value, a power generation deviation value is obtained; based on the unified settlement electricity price of the entire network and the real-time electricity price data, a price deviation value is obtained.

[0079] In the case of congestion in the electricity spot market, some parts of the power network have reached the limit of their transmission capacity, resulting in the inability to fully accept all photovoltaic power generation. In this case, the power generation of the photovoltaic power plant needs to be as close to the actual grid power as possible. If the power generation is higher than the actual grid power, the grid will not be able to absorb this power in time, and the phenomenon of abandoned light will occur. In addition, if the power generation is lower than the actual grid power, the photovoltaic power plant usually needs to purchase power from the electricity spot market to meet its grid power demand.

[0080] In this embodiment, the power generation deviation value and the price deviation value are both non-negative values, that is, the power generation deviation value is |Q t 0 +Δq t re -q t l |, the price deviation value is |p t r -p t all |.

[0081] S204: Calculate the profit difference based on the power generation deviation value and the price deviation value.

[0082] Specifically, the revenue difference is the product of the power generation deviation value and the price deviation value, that is, |Q t 0 +Δq t re -q t l |×|p t r -p t all |.

[0083] S205: Determine the angle range of the target angle based on the current angle of the photovoltaic tracking bracket, the adjustable angle range, the maximum rate of angle adjustment, and the maximum time for angle adjustment.

[0084] Specifically, the photovoltaic tracking bracket cannot be adjusted to full angles, and its adjustable angle range is the minimum angle agl min and the maximum angle agl max The maximum rate of angle adjustment can be obtained by consulting the instructions for use of the photovoltaic tracking bracket, and the maximum rate of angle adjustment is recorded as v trkThe maximum time T for angle adjustment can be flexibly set according to needs, for example, it can be 15 minutes.

[0085] The target angle must meet the following requirements: (agl t 1 -agl t 0 ) / T <v trk , and agl min ≤agl t 1 ≤agl max Based on this, the target angle agl can be obtained t 1 angular range.

[0086] S206: Calculate the target angle corresponding to the maximum net profit within the angle range based on the angle range, the profit difference, the real-time electricity price data, the first functional relationship and the second functional relationship.

[0087] Specifically, according to the formula: max∑ t t+n-1 (Δq t re ×p t r -Q t brk ×p t r -|Q t 0 +Δq t re -q t l |×|p t r -p t all |), in the case of congestion in the electricity spot market, the angle corresponding to the maximum value of the sum of the net income of multiple unit periods within the preset time and angle range can also be calculated and used as the target angle. Therefore, when the recovery cost caused by congestion is higher than the income brought by the increase or decrease of electricity generation, the angle of the photovoltaic tracking bracket can be adjusted to make the photovoltaic power generation close to the medium- and long-term decomposition electricity, thereby reducing the operating cost of the photovoltaic power plant and optimizing the income of the photovoltaic power plant.

[0088] S207: Outputting an adjustment instruction to adjust the photovoltaic tracking bracket to the target angle.

[0089] See also Figure 3 , which is a schematic diagram of a photovoltaic tracking bracket adjustment device provided in an embodiment of the present application, the device includes: an acquisition module 301, a determination module 302, an angle calculation module 303 and an output module 304;

[0090] The acquisition module 301 is used to acquire real-time meteorological data, real-time electricity price data and the current angle of the photovoltaic tracking bracket;

[0091] The determination module 302 is used to determine a first functional relationship between the angle of the photovoltaic tracking bracket and the power generation change based on the real-time meteorological data; and determine a second functional relationship between the angle of the photovoltaic tracking bracket and a first amount of electricity consumed to adjust the angle based on the current angle of the photovoltaic tracking bracket;

[0092] Angle calculation module 303, used to calculate the target angle corresponding to the maximum net profit based on the real-time electricity price data, the first functional relationship and the second functional relationship;

[0093] The output module 304 is used to output an adjustment instruction for adjusting the photovoltaic tracking bracket to a target angle.

[0094] Therefore, in the electricity spot market, the angle of the photovoltaic tracking bracket that maximizes the net profit can be calculated based on real-time electricity price data and real-time meteorological data. The angle of the photovoltaic tracking bracket can be adjusted accordingly. In the scenario of negative electricity prices, the losses caused by power generation can be reduced, thereby reducing the operating costs of photovoltaic power plants; in the scenario of positive electricity prices, the profits of photovoltaic power plants can be increased.

[0095] Optionally, the angle calculation module 303 is specifically used to calculate the target angle corresponding to the maximum value of the product of the power difference and the real-time electricity price based on the real-time electricity price data, the first functional relationship and the second functional relationship; the power difference is the difference between the power generation change and the first power.

[0096] Optionally, the angle calculation module 303 is specifically used to calculate a target angle corresponding to the maximum value of the sum of net revenues of multiple unit time periods within a preset time period based on real-time electricity price data, a first functional relationship and a second functional relationship.

[0097] Optionally, in another embodiment, the photovoltaic tracking bracket adjustment device further includes: a difference calculation module, which is used to: obtain the medium- and long-term decomposed electricity within a preset time, the unified settlement electricity price of the entire network, and the photovoltaic power generation forecast value; based on the medium- and long-term decomposed electricity and the photovoltaic power generation forecast value, obtain the power generation deviation value; based on the unified settlement electricity price of the entire network and the real-time electricity price data, obtain the price deviation value; the power generation deviation value and the price deviation value are both non-negative values; based on the power generation deviation value and the price deviation value, calculate the profit difference. In this embodiment, the angle calculation module 303 is specifically used to: calculate the target angle corresponding to the maximum net profit based on the profit difference, real-time electricity price data, the first functional relationship, and the second functional relationship.

[0098] Optionally, in another embodiment, the photovoltaic tracking bracket adjustment device further includes: a range determination module, which is used to determine the angle range of the target angle based on the current angle of the photovoltaic tracking bracket, the adjustable angle range, the maximum rate of angle adjustment, and the maximum duration for angle adjustment. In this embodiment, the angle calculation module 303 is specifically used to calculate the target angle corresponding to the maximum net profit within the angle range based on the angle range, real-time electricity price data, the first functional relationship and the second functional relationship.

[0099] See also Figure 4 , this figure is a structural diagram of a photovoltaic tracking bracket adjustment device provided in an embodiment of the present application, and the device includes: a memory 401 and a processor 402.

[0100] Memory 401: used to store program codes and transmit the program codes to the processor.

[0101] Processor 402: used to execute the steps of the photovoltaic tracking bracket adjustment method according to the instructions in the program code.

[0102] In addition, the present application also provides a computer-readable storage medium, which stores computer instructions. When the computer instructions are executed on a photovoltaic tracking bracket adjustment device, the photovoltaic tracking bracket adjustment device performs the steps of the above-mentioned photovoltaic tracking bracket adjustment method.

[0103] It should be noted that each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device and system embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments. The device and system embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components indicated as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0104] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A photovoltaic tracking bracket adjustment method, characterized in that: The method comprises: Obtain real-time meteorological data, real-time electricity price data, and the current angle of the photovoltaic tracking bracket; Based on the real-time meteorological data, determining a first functional relationship between the angle of the photovoltaic tracking bracket and the amount of power generation change; based on the current angle of the photovoltaic tracking bracket, determining a second functional relationship between the angle of the photovoltaic bracket and a first amount of electricity consumed to adjust the angle; Calculating a target angle corresponding to a maximum net profit based on the real-time electricity price data, the first functional relationship, and the second functional relationship; Output an adjustment instruction for adjusting the photovoltaic tracking bracket to the target angle.

2. The method according to claim 1, characterized in that The calculating the target angle corresponding to the maximum net profit value based on the real-time electricity price data, the first functional relationship and the second functional relationship includes: Based on the real-time electricity price data, the first functional relationship and the second functional relationship, a target angle corresponding to the maximum value of the product of the power difference and the real-time electricity price is calculated; the power difference is the difference between the power generation change and the first power.

3. The method according to claim 1, characterized in that The calculating the target angle corresponding to the maximum net profit value based on the real-time electricity price data, the first functional relationship and the second functional relationship includes: Based on the real-time electricity price data, the first functional relationship and the second functional relationship, a target angle corresponding to the maximum value of the sum of the net revenues of multiple unit time periods within a preset time period is calculated.

4. The method according to claim 1, characterized in that: Before calculating the target angle corresponding to the maximum net profit value based on the real-time electricity price data, the first functional relationship and the second functional relationship, the method further includes: Obtain the medium- and long-term decomposed electricity volume within the preset time, the unified settlement electricity price of the entire network, and the predicted value of photovoltaic power generation; Based on the medium- and long-term decomposed electricity and the photovoltaic power generation forecast value, a power generation deviation value is obtained; based on the network-wide unified settlement electricity price and the real-time electricity price data, a price deviation value is obtained; the power generation deviation value and the price deviation value are both non-negative values; Calculating a profit difference based on the power generation deviation value and the price deviation value; The calculating the target angle corresponding to the maximum net profit value based on the real-time electricity price data, the first functional relationship and the second functional relationship includes: Based on the revenue difference, the real-time electricity price data, the first functional relationship and the second functional relationship, a target angle corresponding to the maximum net revenue is calculated.

5. The method according to any one of claims 1, characterized in that Before calculating the target angle corresponding to the maximum net profit value based on the real-time electricity price data, the first functional relationship and the second functional relationship, the method further includes: Determine the angle range of the target angle based on the current angle of the photovoltaic tracking bracket, the adjustable angle range, the maximum rate of angle adjustment, and the maximum time for angle adjustment; The calculating the target angle corresponding to the maximum net profit value based on the real-time electricity price data, the first functional relationship and the second functional relationship includes: Based on the angle range, the real-time electricity price data, the first functional relationship and the second functional relationship, a target angle corresponding to the maximum value of the net profit within the angle range is calculated.

6. A photovoltaic tracking bracket adjustment device, characterized in that: The device comprises: an acquisition module, a determination module, an angle calculation module and an output module; The acquisition module is used to acquire real-time meteorological data, real-time electricity price data and the current angle of the photovoltaic tracking bracket; The determination module is used to determine a first functional relationship between the angle of the photovoltaic tracking bracket and the power generation change based on the real-time meteorological data; and to determine a second functional relationship between the angle of the photovoltaic bracket and a first amount of electricity consumed to adjust the angle based on the current angle of the photovoltaic tracking bracket; The angle calculation module is used to calculate the target angle corresponding to the maximum net profit based on the real-time electricity price data, the first functional relationship and the second functional relationship; The output module is used to output an adjustment instruction for adjusting the photovoltaic tracking bracket to the target angle.

7. The device according to claim 6, characterized in that The device also includes: a difference calculation module; The difference calculation module is used to: obtain the medium- and long-term decomposed electricity quantity, the unified settlement electricity price of the whole network and the predicted value of photovoltaic power generation within a preset time; obtain the power generation deviation value based on the medium- and long-term decomposed electricity quantity and the predicted value of photovoltaic power generation; obtain the price deviation value based on the unified settlement electricity price of the whole network and the real-time electricity price data; the power generation deviation value and the price deviation value are both non-negative values; and calculate the profit difference based on the power generation deviation value and the price deviation value; The angle calculation module is specifically used to calculate the target angle corresponding to the maximum net profit based on the profit difference, the real-time electricity price data, the first functional relationship and the second functional relationship.

8. The device according to claim 6, characterized in that The device also includes: a range determination module; The range determination module is used to determine the angle range of the target angle based on the current angle of the photovoltaic tracking bracket, the adjustable angle range, the maximum rate of angle adjustment, and the maximum time for angle adjustment; The angle calculation module is specifically used to calculate the target angle corresponding to the maximum net profit within the angle range based on the angle range, the real-time electricity price data, the first functional relationship and the second functional relationship.

9. A photovoltaic tracking bracket adjustment device, characterized in that: The device comprises: a memory and a processor; The memory is used to store program code and transmit the program code to the processor; The processor is used to execute the steps of the photovoltaic tracking bracket adjustment method according to any one of claims 1 to 5 according to the program code.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program. When the computer program runs on the photovoltaic tracking bracket adjustment device, the photovoltaic tracking bracket adjustment device performs the steps of the photovoltaic tracking bracket adjustment method according to any one of claims 1 to 5.

Images