Wind-solar power station multifunctional undisturbed switching method and system based on wind-solar power prediction information

Abstract

The application relates to a wind and light field station multifunctional undisturbed switching method and system based on wind and light prediction information. The method comprises the following steps: wind and light power prediction information is acquired, fluctuation conditions of wind and light future periods are calculated, and the optimal operation function for currently inhibiting wind and light fluctuation is judged, multifunctional undisturbed switching control logic is designed in advance, and the operation functions before and after switching are matched when it is monitored that the system exists function switching, so that artificial operation is reduced, the rationality of the field station operation function is improved, the problem that active power fluctuation of a grid connection point is large due to differences in response characteristics of wind power and light power is solved, and the instruction tracking precision and grid stability of the wind and light field station are improved.

Description

Technical Field

[0001] This application relates to the field of new energy technology, and in particular to a multi-functional, non-disruptive switching method and system for wind and solar power stations based on wind and solar forecast information. Background Technology

[0002] Energy is a crucial guarantee for national industrial development, and with the rapid advancement of science and technology, energy issues have become particularly prominent. Traditional energy sources are mainly fossil fuels, which convert the chemical energy within fossil fuels into electrical energy through combustion. Since fossil fuels are formed from trees buried underground for hundreds of millions or even billions of years, they are inexhaustible. Therefore, my country urgently needs a clean energy source to ensure the energy needs of its industrial development. Electricity, as a common energy source, is indispensable for our daily lives and industrial development. To address the electricity shortage, the government has introduced many policies to promote the development of clean energy, with wind and solar power being the main clean energy sources in my country at present, and their development has been particularly rapid. In recent years, with the increasing installed capacity of wind and solar power, the stability of the power grid has been greatly challenged. Due to weather variability, cloud disturbances, and other factors, the grid-connected power of wind and solar power is highly uncertain, seriously affecting the stability of the power grid.

[0003] To cope with various extreme operating conditions in the actual operating environment, wind and solar power stations are usually designed with multiple operating functions, such as wind and solar power allocation function, wind power output priority function, and photovoltaic power output priority function. Switching between multiple functions often requires operators to operate based on experience and comprehensive consideration of current and historical wind and solar power fluctuations in order to reduce power fluctuations at the grid connection point and improve command tracking accuracy.

[0004] In practical applications, the random fluctuations in wind and solar resources lead to significant power fluctuations at grid connection points, resulting in poor command tracking accuracy for wind and solar power stations under extreme conditions. Although operators can set different operating functions to mitigate such command tracking deviations, in actual operation, operators typically switch functions based only on current and historical wind and solar fluctuations, and cannot make reasonable function settings based on the magnitude of future wind and solar fluctuations. Furthermore, real-time switching is difficult to achieve through manual operation alone.

[0005] In addition, when traditional wind and solar power stations switch between multiple functions, they usually use a direct switching method, which does not take into account the impact of the difference in wind and solar power output characteristics on the accuracy of command tracking during the switching process, resulting in significant disturbance to the grid connection point. Summary of the Invention

[0006] Therefore, it is necessary to provide a multi-functional, non-disruptive switching method and system for wind and solar power plants based on wind and solar forecast information, which can improve the control accuracy and grid stability of wind and solar power plants and address the aforementioned technical problems.

[0007] Firstly, this application provides a method for multi-functional, disturbance-free handover of wind and solar power stations based on wind and solar forecast information. The method includes:

[0008] Obtain the photovoltaic forecast volatility for future periods of photovoltaic power plants and the wind power forecast volatility for future periods of wind farms;

[0009] Based on the current operating functions, as well as the predicted volatility of photovoltaic and wind power, determine the target operating functions; the operating functions include wind and solar power ratio allocation, photovoltaic power output priority, and wind power output priority;

[0010] Based on the current wind and solar power station operation information and the current active power dispatch command, the switching logic of the current operation function and the target operation function is matched to obtain the target active power command of the wind farm.

[0011] Based on the active power generated by the wind farm and the active power dispatch instructions at the current moment, the target active power instructions for the photovoltaic power station are obtained.

[0012] Based on the target active power command of the wind farm, the actual active power generated by the wind farm, the target active power command of the photovoltaic power station, and the actual active power generated by the photovoltaic power station, step size constraints are imposed on the wind farm and the photovoltaic power station.

[0013] The determination of whether the multi-function switching has ended is based on the deviation between the target active power command of the wind farm and the actual active power generated by the wind farm at the current moment.

[0014] In one embodiment, based on the current operating function and the photovoltaic predicted volatility and wind power predicted volatility, the target operating function is determined to include:

[0015] The predicted volatility of photovoltaic power and wind power is compared with the corresponding preset upper and lower limits of volatility to obtain the cases where photovoltaic volatility exceeds the limit and wind power volatility exceeds the limit. Combined with the current operating functions, the target operating functions are determined.

[0016] In one embodiment, determining the target operating function includes:

[0017] When the current operating function is wind-solar ratio allocation, if the wind power predicted volatility is less than the lower limit of wind power volatility and the solar power predicted volatility is greater than the upper limit of solar power volatility, then the target operating function is wind power output priority.

[0018] When the current operating function is wind-solar ratio allocation, if the photovoltaic predicted volatility is less than the lower limit of photovoltaic volatility and the wind power predicted volatility is greater than the upper limit of wind power volatility, then the target operating function is photovoltaic output priority.

[0019] When the current operating function is wind power output priority, if the photovoltaic predicted volatility is less than the lower limit of photovoltaic volatility and the wind power predicted volatility is greater than the upper limit of wind power volatility, then the target operating function is photovoltaic output priority.

[0020] When the current operating function is wind power output priority, if the photovoltaic predicted volatility is greater than the upper limit of photovoltaic volatility and the wind power predicted volatility is greater than the upper limit of wind power volatility, then the target operating function is wind-solar ratio allocation.

[0021] When the current operating function is set to prioritize photovoltaic output, if the wind power predicted volatility is less than the lower limit of wind power volatility and the photovoltaic predicted volatility is greater than the upper limit of photovoltaic volatility, then the target operating function is set to prioritize wind power output.

[0022] When the current operating function is photovoltaic output priority, if the photovoltaic predicted volatility is greater than the upper limit of photovoltaic volatility and the wind power predicted volatility is greater than the upper limit of wind power volatility, then the target operating function is wind-solar ratio allocation.

[0023] In one embodiment, based on the current wind and solar power station operation information and the current active power dispatch command, the switching logic of the current operating function and the target operating function is matched to obtain the target active power command of the wind farm, including:

[0024] The active power command at the current moment is compared with the current wind and solar power station operation information to obtain the target active power command of the wind farm corresponding to different combinations of current operation function and target operation function.

[0025] The current operating information of wind and solar power stations includes the maximum active power that the wind farm can generate, the minimum active power that the wind farm can generate, the maximum active power that the photovoltaic power station can generate, and the minimum active power that the photovoltaic power station can generate.

[0026] In one embodiment, obtaining the target active power command for the photovoltaic power station based on the actual active power generated by the wind farm and the current active power dispatch command includes:

[0027] The difference between the current active power dispatch command and the actual active power generation of the wind farm is compared with the current wind and solar power station operation information to obtain the target active power command for the photovoltaic power station.

[0028] Among them, the actual active power generated by the wind farm is related to the target active power command of the wind farm.

[0029] In one embodiment, the step size constraints on the wind farm and the photovoltaic power station based on the target active power command of the wind farm, the actual active power generation of the wind farm, the target active power command of the photovoltaic power station, and the actual active power generation of the photovoltaic power station include:

[0030] Based on the relationship between the target active power command of the wind farm, the actual active power generated by the wind farm, and the active power adjustment step size of the wind farm, determine the active power command issued by the wind farm at the current moment.

[0031] Based on the relationship between the target active power command of the photovoltaic power station, the actual active power generated by the photovoltaic power station, and the active power adjustment step size of the photovoltaic power station, the active power command issued by the photovoltaic power station at the current moment is determined.

[0032] In one embodiment, determining whether the multi-function switching has ended based on the deviation between the target active power command and the actual active power generated by the wind farm at the current moment includes:

[0033] If the absolute value of the deviation is greater than the wind farm regulation dead zone, then the multi-function switching is considered to have ended.

[0034] Secondly, this application also provides a multi-functional, non-disruptive switching system for wind and solar power stations based on wind and solar forecast information. The system includes:

[0035] The prediction module is used to obtain the photovoltaic prediction volatility of photovoltaic power plants and the wind power prediction volatility of wind farms for future periods.

[0036] The judgment module is used to determine the target operating function based on the current operating function, as well as the predicted volatility of photovoltaic power and the predicted volatility of wind power. The operating functions include wind and solar power ratio allocation, photovoltaic power output priority, and wind power output priority.

[0037] The first matching module is used to perform switching logic matching between the current operating function and the target operating function based on the current wind and solar power station operation information and the current active power dispatch command, so as to obtain the target active power command of the wind farm.

[0038] The second matching module is used to obtain the target active power command of the photovoltaic power station based on the actual active power generation of the wind farm and the active power command dispatched at the current moment.

[0039] The step size constraint module is used to impose step size constraints on wind farms and photovoltaic power plants based on the target active power command of wind farms, the actual active power generation of wind farms, the target active power command of photovoltaic power plants, and the actual active power generation of photovoltaic power plants.

[0040] The output confirmation module is used to determine whether the multi-function switching has ended based on the deviation between the target active power command of the wind farm and the actual active power generated by the wind farm at the current moment.

[0041] Thirdly, this application also provides a computer device. The computer device includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method for seamless switching of wind and solar power stations based on wind and solar forecast information.

[0042] Fourthly, this application also provides a computer-readable storage medium. This computer-readable storage medium stores a computer program thereon, which, when executed by a processor, implements the steps in the above-described method for seamless switching of multiple functions at wind and solar power stations based on wind and solar forecast information.

[0043] Fifthly, this application also provides a computer program product. The computer program product includes a computer program that, when executed by a processor, implements the steps in the above-described method for seamless switching of multiple functions at wind and solar power stations based on wind and solar forecast information.

[0044] The aforementioned method and system for multi-functional, disturbance-free switching of wind and solar power stations based on wind and solar power forecast information acquires wind and solar power forecast information, calculates the fluctuation of wind and solar power in future periods, and determines the optimal operating function to suppress wind and solar power fluctuations. It also designs multi-functional, disturbance-free switching control logic in advance. When a function switch is detected in the system, the operating functions before and after the switch are matched, reducing manual operation, improving the rationality of the station's operating functions, solving the problem of large active power fluctuations at the grid connection point caused by the difference in response characteristics of wind and solar power, and improving the command tracking accuracy and grid stability of wind and solar power stations. Attached Figure Description

[0045] Figure 1 This is a control flowchart of a multi-functional, non-disruptive switching method for wind and solar power stations based on wind and solar forecast information in one embodiment.

[0046] Figure 2 To improve the power tracking effect of the previous wind and solar power station grid connection point;

[0047] Figure 3 The diagram shows the power tracking effect at the grid connection point of the improved wind and solar power plants. Detailed Implementation

[0048] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0049] This application provides a method for multi-functional, non-disruptive handover of wind and solar power stations based on wind and solar forecast information, such as... Figure 1 As shown, it includes the following steps:

[0050] Step 102: Obtain the photovoltaic forecast volatility for future periods of the photovoltaic power plant and the wind power forecast volatility for future periods of the wind farm.

[0051] Pre(t) pv,max =max(Pre(t+1) pv Pre(t+2) pv ...Pre(t+k) pv )

[0052] Pre(t) pv,min =min(Pre(t+1) pvPre(t+2) pv ...Pre(t+k) pv )

[0053] P pv,flu =P(t) pv,max -P(t) pv,min

[0054] In the formula, Pre(t) pv,max Pre(t+1) represents the maximum photovoltaic output calculated from the current moment over a future period. pv Pre(t+k) represents the predicted photovoltaic power at the next moment. pv Let Pre(t) represent the photovoltaic prediction value at time k. pv,min P represents the minimum photovoltaic power output calculated from the current moment over a future period. pv,flu This indicates the predicted volatility of photovoltaic (PV) forecasts over a future period.

[0055] Pre(t) wind,max =max(Pre(t+1) wind Pre(t+2) wind ...Pre(t+k) wind )

[0056] Pre(t) wind,min =min(Pre(t+1) wind Pre(t+2) wind ...Pre(t+k) wind )

[0057] P wind,flu =P(t) wind,max -P(t) wind,min

[0058] In the formula, Pre(t) wind,max Pre(t+1) represents the maximum wind power output calculated over a future period from the current moment. wind Pre(t+k) represents the predicted wind power output at the next moment. wind Let Pre(t) represent the predicted wind power value at time k. wind,min P represents the minimum wind power output calculated from the current moment over a future period. wind,flu This indicates the predicted volatility of wind power forecasts over a future period.

[0059] Step 104: Based on the current operating function, as well as the predicted volatility of photovoltaic power and the predicted volatility of wind power, determine the target operating function; the operating functions include wind and solar power ratio allocation, photovoltaic power output priority, and wind power output priority.

[0060] The current operational functions include photovoltaic (PV) output priority, wind power output priority, and wind-solar ratio allocation. These three functions are commonly used renewable energy dispatch strategies in modern power systems. These strategies aim to maximize the utilization of renewable energy, reduce fossil fuel consumption, and improve the economic and environmental performance of the power system. Specifically, PV output priority means prioritizing the use of PV power generation in renewable energy dispatch; when PV systems have generating capacity, their electricity is prioritized for grid connection to meet load demand. Wind power output priority means prioritizing the use of wind power generation in renewable energy dispatch; when wind power systems have generating capacity, their electricity is prioritized for grid connection to meet load demand. Wind-solar ratio allocation means rationally allocating the ratio of PV to wind power generation based on actual sunlight and wind conditions during power system dispatch to maximize the utilization of renewable energy while ensuring the stable operation of the power system.

[0061] 1. When the current function is wind-solar ratio allocation:

[0062] (1) Determine whether the current condition meets the requirement of switching to wind power output priority:

[0063]

[0064] In the formula P wind,fludown P represents the lower bound of wind power volatility. pv,fluup This indicates the upper limit of wind power volatility.

[0065] If all the above conditions are met, the system will switch to wind power output priority mode. In this case, wind power output priority becomes the target operation mode. The same applies below, so it will not be repeated.

[0066] (2) Determine whether the current condition meets the requirement of switching to photovoltaic output priority:

[0067]

[0068] In the formula P pv,fludown P represents the lower bound of photovoltaic volatility. wind,fluup This indicates the upper limit of photovoltaic volatility.

[0069] If all the above conditions are met, the photovoltaic output priority function will be switched.

[0070] 2. When the current operating function is wind power output priority:

[0071] (1) Determine whether the function of switching to photovoltaic output priority is met:

[0072]

[0073] If all the above conditions are met, the photovoltaic output priority function will be switched.

[0074] (2) Determine whether the current wind-solar ratio allocation function is satisfied.

[0075]

[0076] If all the above conditions are met, the wind and solar power ratio allocation function will be switched to the function.

[0077] 3. The current operating function is photovoltaic output priority function.

[0078] (1) Determine whether the wind power output priority function is currently satisfied:

[0079]

[0080] If all the above conditions are met, the wind power output priority function will be switched.

[0081] (2) Determine whether the current wind-solar ratio allocation function is satisfied:

[0082]

[0083] If all the above conditions are met, the wind and solar power ratio allocation function will be switched to the function.

[0084] Step 106: Based on the current wind and solar power station operation information and the current active power dispatch command, perform switching logic matching on the current operation function and the target operation function to obtain the target active power command of the wind farm.

[0085] The current operational information for wind and solar power plants includes: the maximum (minimum) active power output of a wind farm, referring to the maximum (minimum) active power that a wind farm can output under current wind conditions and equipment operating status; and the maximum (minimum) active power output of a photovoltaic power plant, referring to the maximum (minimum) active power that a photovoltaic power plant can output under current sunlight conditions and equipment operating status. Dispatch active power commands are control commands issued by the power dispatch center to wind and solar power plants or other power facilities regarding active power output. Dispatch active power commands are typically used to adjust the active power output of power plants to meet changes in electricity demand and ensure the safe and stable operation of the power system.

[0086] 1) The current operating function is the wind-solar ratio allocation function, and the target operating function is the wind power output priority function.

[0087]

[0088] In the formula P wind,cmd This indicates the target active power command for the wind farm after the function switch, P. wind,max P represents the maximum active power that the wind farm can generate at the current moment. wind,min P represents the minimum active power that the wind farm can generate at the current moment. cmd This indicates the active power dispatch command at the current moment.

[0089] 2) The current operating function is the wind-solar ratio allocation function, and the target operating function is the photovoltaic output priority function.

[0090]

[0091] In the formula P pv,max This indicates the maximum active power that a photovoltaic power station can generate.

[0092] 3) The current operating function is wind power output priority function, and the target operating function is photovoltaic power output priority function.

[0093]

[0094] 4) The current operating function is photovoltaic power output priority function, and the target operating function is wind power output priority function.

[0095]

[0096] 5) The current operating function is wind power output priority function, and the target operating function is wind and solar power ratio allocation function.

[0097]

[0098] In the formula P pv,min This indicates the minimum active power that a photovoltaic power station can generate.

[0099] 6) The current operating function is photovoltaic power output priority function, and the target operating function is wind and solar power ratio allocation function.

[0100]

[0101] Step 108: Based on the actual active power generation of the wind farm and the active power dispatch command at the current moment, obtain the target active power command of the photovoltaic power station.

[0102] Under the target active power command of the wind farm in step 106, the actual active power generated by the wind farm is obtained. Actual active power generated refers to the active power output to the grid by the power generation equipment during actual operation. The target active power command of the photovoltaic power station is expressed as follows:

[0103]

[0104] In the formula P pv,cmd P represents the active power command allocated to the photovoltaic power station. wind,act This indicates that the wind farm has generated active power.

[0105] Step 110: Apply step size constraints to the wind farm and the photovoltaic power station based on the target active power command of the wind farm, the actual active power generation of the wind farm, the target active power command of the photovoltaic power station, and the actual active power generation of the photovoltaic power station.

[0106]

[0107] In the formula P pv,fincmd P represents the active power command issued by the photovoltaic power station at the current moment. wind,fincmd P represents the active power command issued by the wind farm at the current moment. pv,act P represents the actual active power generated by the photovoltaic power station at the current moment. wind,act P represents the actual active power generated by the wind farm at the current moment. pv,step P represents the active power regulation step size of a photovoltaic power station. wind,step This indicates the active power adjustment step size of the wind farm.

[0108] The active power adjustment step size refers to the minimum increment or decrease in active power output that a wind farm or photovoltaic power station adjusts each time it responds to dispatch commands. This parameter is crucial for grid dispatch and the stable operation of wind farms / photovoltaic power stations, as it directly affects the speed and accuracy of the wind farm / photovoltaic power station's response to dispatch commands. The active power adjustment step size can be set according to industry standards and grid dispatch rules. For example, some standards for wind farms may require a step size between 100kW and 500kW. The active power adjustment step size can also be adjusted based on the performance and operating conditions of the equipment itself. For example, a smaller step size can be set during periods of relatively stable wind speeds for more precise power adjustment; a larger step size can be set during periods of significant wind fluctuations to improve response speed.

[0109] Step 112: Determine whether the multi-function switching has ended based on the deviation between the target active power command of the wind farm and the actual active power generated by the wind farm at the current moment.

[0110]

[0111] In the formula P wind,err P represents the absolute value of the deviation between the wind farm's command and actual wind power generation. wind,dead This represents the wind farm regulation dead zone, where `abs` is the absolute value function, and `end` is the end flag for the multi-function switching logic. A value of 0 indicates that the multi-function switching logic has not ended, and a value of 1 indicates that the multi-function switching logic has ended. The wind farm regulation dead zone refers to a power range or interval set by the wind farm that will not be adjusted when regulating active power output. Within this range, even if the grid dispatch center issues a regulation command, the wind farm will not adjust its active power. The regulation dead zone is set to avoid frequent regulation operations, reduce disturbances to the grid, and protect wind turbines from wear and tear caused by frequent regulation. In this formula, P... wind,cmd This refers to P after being gradually adjusted according to the active power adjustment step size in step 110. pv,fincmd Each adjustment makes P wind,cmd The value is P pv,fincmd And determine whether the multi-function switching has ended.

[0112] By comparison Figure 2 and Figure 3 As can be seen, the multi-functional adaptive and disturbance-free switching method for wind and solar power stations based on wind and solar forecast information proposed in this invention effectively reduces the disturbance at the grid connection point caused by the differences in wind and solar characteristics during the function switching process.

[0113] This invention first obtains future wind and solar power forecast information and then performs rolling calculations on the future wind and solar power output fluctuations using the wind and solar volatility calculation formula. Next, it compares the currently calculated wind and solar volatility magnitude with preset upper and lower limits, and comprehensively considers the current operating functions and the possibility of wind and solar volatility exceeding the limits to match the optimal operating function for the future. Finally, it monitors in real time whether there is a multi-function switching. If so, it matches the current function with the preset multi-function seamless switching logic and determines whether the wind farm has adjusted properly under the switched function. If not, it continues to calculate and execute instructions for the wind farm and photovoltaic power station; if the adjustment is successful, the function switching logic ends. Unlike traditional manual multi-function switching, the multi-function adaptive seamless switching method based on wind and solar forecast information proposed in this invention can achieve adaptive switching between multiple functions according to the magnitude of future wind and solar volatility, ensuring that the switched function is the optimal operating function for suppressing wind and solar volatility in the future. Furthermore, the wind and solar power station seamless switching method mentioned in this invention comprehensively considers wind and solar power output characteristics and station operating information, effectively reducing grid connection point disturbances caused by differences in wind and solar characteristics during function switching. In summary, the multi-functional adaptive and disturbance-free switching method for wind and solar power stations based on wind and solar forecast information proposed in this invention reduces manual operation, improves the rationality of station operation functions, avoids fluctuations in active power output at grid connection points during multi-functional switching of wind and solar power stations, and improves the command tracking accuracy and grid stability of wind and solar power stations.

[0114] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0115] Based on the same inventive concept, this application also provides a system for implementing the above-mentioned method for seamless handover of wind and solar power stations based on wind and solar forecast information. The solution provided by this system is similar to the implementation described in the above method. Therefore, the specific limitations of one or more embodiments of the system for seamless handover of wind and solar power stations based on wind and solar forecast information provided below can be found in the limitations of the method for seamless handover of wind and solar power stations based on wind and solar forecast information described above, and will not be repeated here.

[0116] In one embodiment, a multi-functional, disturbance-free switching system for wind and solar power stations based on wind and solar forecast information is provided, comprising:

[0117] The prediction module is used to obtain the photovoltaic prediction volatility of photovoltaic power plants and the wind power prediction volatility of wind farms for future periods.

[0118] The judgment module is used to determine the target operating function based on the current operating function, as well as the predicted volatility of photovoltaic power and the predicted volatility of wind power. The operating functions include wind and solar power ratio allocation, photovoltaic power output priority, and wind power output priority.

[0119] The first matching module is used to perform switching logic matching between the current operating function and the target operating function based on the current wind and solar power station operation information and the current active power dispatch command, so as to obtain the target active power command of the wind farm.

[0120] The second matching module is used to obtain the target active power command of the photovoltaic power station based on the actual active power generation of the wind farm and the active power command dispatched at the current moment.

[0121] The step size constraint module is used to impose step size constraints on wind farms and photovoltaic power plants based on the target active power command of wind farms, the actual active power generation of wind farms, the target active power command of photovoltaic power plants, and the actual active power generation of photovoltaic power plants.

[0122] The output confirmation module is used to determine whether the multi-function switching has ended based on the deviation between the target active power command of the wind farm and the actual active power generated by the wind farm at the current moment.

[0123] The modules in the aforementioned multifunctional, seamless switching system for wind and solar power stations based on wind and solar forecast information can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the computer device's memory as software, so that the processor can call and execute the corresponding operations of each module.

[0124] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in all of the above method embodiments.

[0125] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps in all of the above method embodiments.

[0126] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in all of the above method embodiments.

[0127] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data shall comply with the relevant laws, regulations and standards of the relevant countries and regions.

[0128] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0129] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0130] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for multi-functional, non-disruptive switching of wind and solar power stations based on wind and solar forecast information, characterized in that, The method includes: Obtain the photovoltaic forecast volatility for future periods of photovoltaic power plants and the wind power forecast volatility for future periods of wind farms; Based on the current operating function, as well as the predicted volatility of photovoltaic power and the predicted volatility of wind power, the target operating function is determined; the operating function includes wind and solar power ratio allocation, photovoltaic power output priority, and wind power output priority. Based on the current wind and solar power station operation information and the current active power dispatch command, the switching logic of the current operation function and the target operation function is matched to obtain the target active power command of the wind farm. Based on the active power generated by the wind farm and the active power dispatch command at the current moment, the target active power command of the photovoltaic power station is obtained. Based on the target active power command of the wind farm, the actual active power generation of the wind farm, the target active power command of the photovoltaic power station, and the actual active power generation of the photovoltaic power station, step size constraints are applied to the wind farm and the photovoltaic power station. The multi-function switching is determined based on the deviation between the target active power command of the wind farm at the current moment and the actual active power generated by the wind farm. Determining the target operating function includes: When the current operating function is wind-solar ratio allocation, if the wind power predicted volatility is less than the lower limit of wind power volatility and the photovoltaic predicted volatility is greater than the upper limit of photovoltaic volatility, then the target operating function is wind power output priority. When the current operating function is wind-solar ratio allocation, if the photovoltaic predicted volatility is less than the lower limit of photovoltaic volatility and the wind power predicted volatility is greater than the upper limit of wind power volatility, then the target operating function is photovoltaic output priority. When the current operating function is wind power output priority, if the photovoltaic predicted volatility is less than the lower limit of photovoltaic volatility and the wind power predicted volatility is greater than the upper limit of wind power volatility, then the target operating function is photovoltaic output priority. When the current operating function is wind power output priority, if the photovoltaic predicted volatility is greater than the upper limit of photovoltaic volatility and the wind power predicted volatility is greater than the upper limit of wind power volatility, then the target operating function is wind-solar ratio allocation. When the current operating function is photovoltaic output priority, if the wind power predicted volatility is less than the lower limit of wind power volatility and the photovoltaic predicted volatility is greater than the upper limit of photovoltaic volatility, then the target operating function is wind power output priority. When the current operating function is photovoltaic output priority, if the photovoltaic predicted volatility is greater than the upper limit of photovoltaic volatility and the wind power predicted volatility is greater than the upper limit of wind power volatility, then the target operating function is wind-solar ratio allocation.

2. The method according to claim 1, characterized in that, The determination of the target operating function based on the current operating function, the photovoltaic predicted volatility, and the wind power predicted volatility includes: The predicted volatility of photovoltaic power and the predicted volatility of wind power are compared with their respective preset upper and lower limits to obtain the cases of photovoltaic volatility exceeding the limit and the cases of wind power volatility exceeding the limit. Combined with the current operating function, the target operating function is determined.

3. The method according to claim 1, characterized in that, The step of performing switching logic matching on the current operating function and the target operating function based on the current wind and solar power station operation information and the current active power dispatch command to obtain the target active power command of the wind farm includes: The current active power dispatch command is compared with the current wind and solar power station operation information to obtain the target active power command of the wind farm corresponding to different combinations of the current operation function and the target operation function; The current wind and solar power station operation information includes the maximum active power generated by the wind farm, the minimum active power generated by the wind farm, the maximum active power generated by the photovoltaic power station, and the minimum active power generated by the photovoltaic power station.

4. The method according to claim 1, characterized in that, Based on the actual active power generated by the wind farm and the current active power dispatch command, the target active power command for the photovoltaic power station is obtained as follows: The difference between the current active power dispatch command and the actual active power generation of the wind farm is compared with the current wind and solar power station operation information to obtain the target active power command of the photovoltaic power station. The actual active power generated by the wind farm is related to the target active power command of the wind farm.

5. The method according to claim 1, characterized in that, The step-size constraint on the wind farm and the photovoltaic power station based on the target active power command of the wind farm, the actual active power generation of the wind farm, the target active power command of the photovoltaic power station, and the actual active power generation of the photovoltaic power station includes: Based on the relationship between the target active power command of the wind farm, the actual active power generated by the wind farm, and the active power adjustment step size of the wind farm, the active power command issued by the wind farm at the current moment is determined. Based on the relationship between the target active power command of the photovoltaic power station, the actual active power generated by the photovoltaic power station, and the active power adjustment step size of the photovoltaic power station, the active power command issued by the photovoltaic power station at the current moment is determined.

6. The method according to claim 1, characterized in that, The step of determining whether the multi-function switching has ended based on the deviation between the target active power command of the wind farm at the current moment and the actual active power generated by the wind farm includes: If the absolute value of the deviation is greater than the wind farm regulation dead zone, then the multi-function switching is considered to have ended.

7. A multi-functional, non-disruptive switching system for wind and solar power stations based on wind and solar forecast information, characterized in that, The system includes: The prediction module is used to obtain the photovoltaic prediction volatility of photovoltaic power plants and the wind power prediction volatility of wind farms for future periods. The judgment module is used to determine the target operating function based on the current operating function, the photovoltaic predicted volatility, and the wind power predicted volatility; the operating function includes wind and solar power ratio allocation, photovoltaic power output priority, and wind power output priority; The first matching module is used to perform switching logic matching on the current operating function and the target operating function based on the current wind and solar power station operation information and the current active power dispatching command, so as to obtain the target active power command of the wind farm. The second matching module is used to obtain the target active power command of the photovoltaic power station based on the actual active power generation of the wind farm and the active power command of the current time. The step size constraint module is used to constrain the step size of the wind farm and the photovoltaic power station based on the target active power command of the wind farm, the actual active power generation of the wind farm, the target active power command of the photovoltaic power station, and the actual active power generation of the photovoltaic power station. The output confirmation module is used to determine whether the multi-function switching has ended based on the deviation between the target active power command of the wind farm at the current moment and the actual active power generation of the wind farm. Determining the target operating function includes: When the current operating function is wind-solar ratio allocation, if the wind power predicted volatility is less than the lower limit of wind power volatility and the photovoltaic predicted volatility is greater than the upper limit of photovoltaic volatility, then the target operating function is wind power output priority. When the current operating function is wind-solar ratio allocation, if the photovoltaic predicted volatility is less than the lower limit of photovoltaic volatility and the wind power predicted volatility is greater than the upper limit of wind power volatility, then the target operating function is photovoltaic output priority. When the current operating function is wind power output priority, if the photovoltaic predicted volatility is less than the lower limit of photovoltaic volatility and the wind power predicted volatility is greater than the upper limit of wind power volatility, then the target operating function is photovoltaic output priority. When the current operating function is wind power output priority, if the photovoltaic predicted volatility is greater than the upper limit of photovoltaic volatility and the wind power predicted volatility is greater than the upper limit of wind power volatility, then the target operating function is wind-solar ratio allocation. When the current operating function is photovoltaic output priority, if the wind power predicted volatility is less than the lower limit of wind power volatility and the photovoltaic predicted volatility is greater than the upper limit of photovoltaic volatility, then the target operating function is wind power output priority. When the current operating function is photovoltaic output priority, if the photovoltaic predicted volatility is greater than the upper limit of photovoltaic volatility and the wind power predicted volatility is greater than the upper limit of wind power volatility, then the target operating function is wind-solar ratio allocation.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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