Wind and light field station multifunctional undisturbed switching method and system based on wind and light prediction information

Abstract

The invention 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: acquiring wind and light power prediction information, calculating the fluctuation condition of wind and light in a future time period, judging the current optimal operation function for inhibiting wind and light fluctuation according to the fluctuation condition, designing a multifunctional undisturbed switching control logic in advance, and matching the operation functions before and after switching when monitoring that function switching exists in a system, so as to achieve the optimal operation function. The method reduces the manual operation, improves the reasonability of the operation function of the station, solves the problem of large active fluctuation of a grid-connected point caused by the difference between wind power and photoelectric response characteristics, and improves the instruction tracking precision of the wind and light station and the stability of a power grid.

Description

Technical Field

[0001] The present application relates to the field of new energy technology, and in particular to a method and system for multifunctional disturbance-free switching of wind and solar power stations based on wind and solar power prediction information. Background Art

[0002] Energy is an important guarantee for the development of national industry. With the rapid development of science and technology, energy issues are particularly prominent. Traditional energy is mainly fossil energy, which converts the chemical energy in fossil energy into electrical energy through combustion. Since fossil energy is transformed from trees buried underground for hundreds of millions or even billions of years, it is inexhaustible. Therefore, my country urgently needs a clean energy to ensure the energy demand of my country's industrial development. Electricity, as a common energy source, is one of the indispensable energy sources for our daily life and industrial development. In order to solve the problem of power shortage, the country has introduced many policies to promote the development of clean energy. Wind power and photovoltaic power, as the main clean energy in my country at this stage, have developed particularly rapidly. In recent years, with the increasing installed capacity of wind power and photovoltaic power, it has brought great challenges to the stability of the power grid. Due to factors such as weather variability and cloud disturbance, there is great uncertainty in the grid-connected power of wind power and photovoltaic power, which seriously affects the stability of the power grid.

[0003] In order to cope with various extreme working conditions in the actual operating environment, wind and solar power stations are usually designed with multiple operating functions, such as (wind and solar power ratio allocation function, wind power output priority function, photovoltaic output priority function, etc.). Switching between multiple functions often requires operators to operate based on experience and comprehensively consider current and historical wind and solar power fluctuations to reduce power fluctuations at the grid connection point while improving command tracking accuracy.

[0004] In actual applications, due to the random volatility of wind and solar resources, the power fluctuations at the grid connection point are large, and the wind and solar power station has poor command tracking accuracy under extreme working conditions. Although operators can set different operating functions to alleviate such command tracking deviations. However, in actual operation, operators usually only switch functions based on current and historical wind and solar fluctuations, and cannot make reasonable function settings based on the future wind and solar fluctuation rate. In addition, it is difficult to achieve real-time switching by manual operation alone.

[0005] In addition, when traditional wind and solar power stations switch between multiple functions, they usually adopt a direct switching method, without considering the impact of differences in wind and solar power output characteristics on command tracking accuracy during the switching process, which causes large disturbances to the grid connection point. Summary of the invention

[0006] Based on this, it is necessary to provide a multifunctional disturbance-free switching method and system for wind and solar power stations based on wind and solar power prediction information, which can improve the control accuracy of wind and solar power stations and the stability of the power grid in order to address the above technical problems.

[0007] In a first aspect, the present application provides a method for multifunctional disturbance-free switching of a wind-solar station based on wind-solar forecast information. The method comprises:

[0008] Obtain the predicted photovoltaic volatility of the photovoltaic power station in the future period and the predicted wind power volatility of the wind farm in the future period;

[0009] The target operation function is determined based on the current operation function, as well as the predicted volatility of photovoltaic power and wind power. The operation functions include wind-solar ratio allocation, photovoltaic output priority, and wind power output priority.

[0010] Based on the current wind and solar power station operation information and the current dispatch active power command, the current operation function and the target operation function are switched and matched to obtain the target active power command of the wind farm;

[0011] Based on the actual active power generated by the wind farm and the active power command dispatched at the current moment, the target active power command of the photovoltaic power station is obtained;

[0012] According to 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, the step size constraints are imposed on the wind farm and the photovoltaic power station;

[0013] Whether the multi-function switching is completed is determined according to 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.

[0014] In one embodiment, judging the target operating function according to the current operating function, the photovoltaic predicted volatility and the wind power predicted volatility includes:

[0015] Compare the predicted PV volatility and wind power volatility with the corresponding preset upper and lower limits of fluctuations, obtain the PV volatility crossing the line situation and the wind power volatility crossing the line situation, and determine the target operation function in combination with the current operation function.

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

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

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

[0019] When the current operation function is to give priority to wind power output, if the predicted PV volatility is less than the lower limit of PV volatility, and the predicted wind power volatility is greater than the upper limit of wind power volatility, then the target operation function is to give priority to PV output;

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

[0021] When the current operation function is photovoltaic output priority, if the wind power forecast volatility is less than the wind power volatility lower limit, and the photovoltaic forecast volatility is greater than the photovoltaic volatility upper limit, then the target operation function is wind power output priority;

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

[0023] In one embodiment, based on the current wind and solar station operation information and the current dispatching active power instruction, the current operation function and the target operation function are switched and matched logically, and the target active power instruction of the wind farm is obtained, including:

[0024] Compare the current dispatch active power command 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 functions and target operation functions;

[0025] Among them, the current wind and solar power station operation information includes the maximum active power that can be generated by the wind farm, the minimum active power that can be generated by the wind farm, the maximum active power that can be generated by the photovoltaic power station, and the minimum active power that can be generated by the photovoltaic power station.

[0026] In one embodiment, based on the actual active power generation of the wind farm and the active power command dispatched at the current moment, obtaining the target active power command of the photovoltaic power station includes:

[0027] The difference between the current dispatch active power command and the actual active power generated by 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;

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

[0029] In one embodiment, according to the target active power command of the wind farm, the actual active power of the wind farm, the target active power command of the photovoltaic power station, and the actual active power of the photovoltaic power station, step size constraints are imposed on the wind farm and the photovoltaic power station, including:

[0030] According to 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 of the wind farm, the active power command issued by the wind farm at the current moment is determined;

[0031] According to the relationship among 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 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, judging whether the multi-function switching is completed according to 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:

[0033] If the absolute value of the deviation is greater than the wind farm regulation dead zone, it is determined that the multi-function switching is completed.

[0034] In a second aspect, the present application also provides a multifunctional disturbance-free switching system for wind and solar power stations based on wind and solar power forecast information. The system includes:

[0035] A prediction module is used to obtain the predicted photovoltaic fluctuation rate of the photovoltaic power station in the future period and the predicted wind power fluctuation rate of the wind farm in the future period;

[0036] A judgment module is used to judge the target operation function according to the current operation function, the photovoltaic predicted volatility and the wind power predicted volatility; the operation functions include wind-solar ratio allocation, photovoltaic output priority and wind power output priority;

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

[0038] The second matching module is used to obtain the target active power instruction of the photovoltaic power station based on the active power actually generated by the wind farm and the active power instruction dispatched at the current moment;

[0039] A step-size constraint module is used to constrain the step-size of the wind farm and the photovoltaic power station according to 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;

[0040] The output confirmation module is used to determine whether the multi-function switching is completed according to the deviation between the target active power instruction of the wind farm at the current moment and the actual active power of the wind farm.

[0041] In a third aspect, the present application further provides a computer device, which includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps in the above-mentioned method for multifunctional disturbance-free switching of wind and solar power stations based on wind and solar power prediction information are implemented.

[0042] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in the above-mentioned method for multifunctional disturbance-free switching of wind and solar power stations based on wind and solar power prediction information.

[0043] In a fifth aspect, the present application further provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps in the above-mentioned method for multifunctional disturbance-free switching of wind and solar power stations based on wind and solar power prediction information are implemented.

[0044] The above-mentioned method and system for multifunctional disturbance-free switching of wind and solar power stations based on wind and solar power prediction information obtains wind and solar power prediction information, calculates the fluctuation of wind and solar power in future time periods, and judges the optimal operating function for suppressing wind and solar power fluctuations based on this, and designs the multifunctional disturbance-free switching control logic in advance. When it is detected that there is function switching in the system, the operating functions before and after the switching are matched, which reduces manual operation, improves the rationality of the station operation function, solves the problem of large active power fluctuations at the grid connection point caused by differences in wind power and photovoltaic response characteristics, and improves the command tracking accuracy and grid stability of the wind and solar power station. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 A control flow chart of a method for multifunctional disturbance-free switching of a wind-solar station based on wind-solar prediction information in an embodiment;

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

[0047] Figure 3 This is the power tracking effect diagram of the improved wind and solar power station grid connection point. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0049] The embodiment of the present application provides a method for multifunctional non-disturbance switching of a wind-solar station based on wind-solar forecast information, such as Figure 1 As shown, the following steps are included:

[0050] Step 102 : obtaining a predicted photovoltaic fluctuation rate in a future period of the photovoltaic power station and a predicted wind power fluctuation rate in a future period 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) pv,Pre(t+2) pv ...Pre(t+k) pv )

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

[0054] Where Pre(t) pv,max Indicates the maximum photovoltaic output value in the future calculated at the current moment, Pre(t+1) pv Represents the predicted photovoltaic power value at the next moment, Pre(t+k) pv Represents the photovoltaic prediction value at the kth moment, Pre(t) pv,min It represents the minimum photovoltaic output value in the future calculated at the current moment, P pv,flu It indicates the predicted volatility of photovoltaic power generation in the future.

[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] Where Pre(t) wind,max Indicates the maximum wind power output in the future calculated at the current moment, Pre(t+1) wind Represents the predicted wind power value at the next moment, Pre(t+k) wind represents the wind power forecast value at the kth moment, Pre(t) wind,min It represents the minimum wind power output in the future calculated at the current moment, P wind,flu It indicates the predicted volatility of wind power in the future.

[0059] Step 104, judging the target operation function according to the current operation function, the photovoltaic predicted volatility and the wind power predicted volatility; the operation functions include wind-solar ratio allocation, photovoltaic output priority and wind power output priority.

[0060] Among them, the current operating functions include photovoltaic output priority, wind power output priority and wind-solar ratio allocation. These three functions are commonly used renewable energy dispatching strategies in modern power systems. These strategies aim to maximize the use of renewable energy, reduce the consumption of fossil fuels, and improve the economy and environmental protection of the power system. Specifically, photovoltaic output priority means that in renewable energy dispatch, photovoltaic power generation is given priority. When the photovoltaic system has the ability to generate electricity, its electricity is preferentially input into the grid to meet the load demand; wind power output priority means that in renewable energy dispatch, wind power generation is given priority. When the wind power system has the ability to generate electricity, its electricity is preferentially input into the grid to meet the load demand; wind-solar ratio allocation means that in the dispatch of the power system, according to the actual conditions of light and wind power, the proportion of photovoltaic power generation and wind power generation is reasonably allocated to maximize the use of renewable energy while ensuring the stable operation of the power system.

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

[0062] (1) Determine whether the current condition satisfies the requirement to switch to wind power output priority function:

[0063]

[0064] Where P wind,fludown represents the lower limit of wind power fluctuation rate, P pv,fluup Indicates the upper limit of wind power fluctuation rate.

[0065] If the above conditions are met, the wind power output priority function is switched to. At this time, the wind power output priority is the target operation function. The same applies to the following, and no further explanation is given.

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

[0067]

[0068] Where P pv,fludown represents the lower limit of photovoltaic fluctuation rate, P wind,fluup Indicates the upper limit of PV fluctuation rate.

[0069] If the above conditions are met, the function will switch to photovoltaic output priority.

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

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

[0072]

[0073] If the above conditions are met, the function will switch to photovoltaic output priority.

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

[0075]

[0076] If all the above conditions are met, the function will switch to the wind-solar ratio allocation function.

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

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

[0079]

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

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

[0082]

[0083] If all the above conditions are met, the function will switch to the wind-solar ratio allocation function.

[0084] Step 106 , based on the current wind and solar power station operation information and the current dispatching active power command, the current operation function and the target operation function are switched and matched logically to obtain the target active power command of the wind farm.

[0085] Among them, the current wind and solar power station operation information includes: the maximum (minimum) active power that can be generated by the wind farm, which refers to the maximum (minimum) active power that the wind farm can output under the current wind conditions and equipment working conditions; the maximum (minimum) active power that can be generated by the photovoltaic power station, which refers to the maximum (minimum) active power that the photovoltaic power station can output under the current light conditions and equipment working conditions. The dispatching active power instruction refers to the control command on active power output issued by the power dispatching center to the wind and solar power station or other power facilities. The dispatching active power instruction is usually used to adjust the active power output of the power station to meet the changes in power 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] Where P wind,cmd It represents the target active power command of the wind farm after function switching, P wind,max It indicates the maximum active power that can be generated by the wind farm at the current moment, P wind,min Indicates the minimum active power that can be generated by the wind farm at the current moment, P cmd Indicates the active power instruction dispatched 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] Where P pv,max Indicates the maximum active power that can be generated by the photovoltaic power station.

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

[0093]

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

[0095]

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

[0097]

[0098] Where P pv,min Indicates the minimum active power that can be generated by the photovoltaic power station.

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

[0100]

[0101] Step 108: acquiring a target active power command of the photovoltaic power station based on the active power actually generated by the wind farm and the active power command dispatched at the current moment.

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

[0103]

[0104] Where P pv,cmd Indicates the active power command assigned to the photovoltaic power station, P wind,act Indicates the actual active power generated by the wind farm.

[0105] Step 110 , according to 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.

[0106]

[0107] Where P pv,fincmd Indicates the active power command issued by the photovoltaic power station at the current moment, P wind,fincmd Indicates the active power command issued by the wind farm at the current moment, P pv,act Indicates the active power generated by the photovoltaic power station at the current moment, P wind,act Indicates the actual active power generated by the wind farm at the current moment, P pv,step Indicates the active power regulation step of the photovoltaic power station, P wind,step Indicates the active power regulation step of the wind farm.

[0108] Among them, the active power regulation step size refers to the minimum increment or decrement of active power output adjusted each time when a wind farm or photovoltaic power station responds to a dispatch instruction. This parameter is crucial for grid dispatch and the stable operation of wind farms / photovoltaic power stations, because it directly affects the response speed and accuracy of wind farms / photovoltaic power stations to dispatch instructions. The active power regulation step size can be based on 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 regulation step size can also be adjusted according to the performance and operation of the equipment itself. For example, a smaller step size can be set during periods of relatively stable wind power to adjust the power more finely; a larger step size can be set during periods of large wind changes to increase the response speed.

[0109] Step 112: judging whether the multi-function switching is completed according to 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.

[0110]

[0111] Where P wind,err Indicates the absolute value of the deviation between the wind farm command and the actual output, P wind,dead Represents the dead zone of wind farm regulation, abs is the absolute value function, end is the end flag of the multi-function switching logic, the value of 0 indicates that the multi-function switching logic has not ended, and the value of 1 indicates that the multi-function switching logic has ended. Among them, the dead zone of wind farm regulation refers to a power range or interval set when the wind farm adjusts the active power output, which is not adjusted. Within this range, even if the power grid dispatching center issues an adjustment command, the wind farm will not adjust the active power. The dead zone of regulation is set to avoid frequent adjustment operations, reduce disturbances to the power grid, and protect wind turbines from wear and tear caused by frequent adjustments. In this formula, P wind,cmd It refers to P after the active power adjustment step length is gradually adjusted according to step 110 pv,fincmd , each adjustment makes P wind,cmd The value is P pv,fincmd And determine whether the multi-function switching is completed.

[0112] By comparison Figure 2 and Figure 3 It can be seen that the multifunctional adaptive disturbance-free switching method of wind-solar station based on wind-solar prediction information proposed in the present invention effectively reduces the disturbance of the grid connection point caused by the difference in wind-solar characteristics during the function switching process.

[0113] The present invention first obtains the wind and solar power forecast information for the future period, and performs rolling calculation of the wind and solar output fluctuation situation in the future period through the wind and solar fluctuation rate calculation formula. Then, the wind and solar fluctuation rate calculated currently is compared to see whether it exceeds the preset wind and solar fluctuation rate upper and lower limits, and the current operating function and the wind and solar fluctuation rate crossing situation are comprehensively considered to match the future optimal operating function. Finally, it is monitored in real time whether there is a multi-function switch at present. If it exists, it is matched with the preset multi-function non-disturbance switching logic, and it is judged whether the wind farm is adjusted in place under the switched function. If it is not adjusted in place, the instructions of the wind farm and the photovoltaic power station are continued to be calculated and executed. If it is adjusted in place, the function switching logic is terminated. Different from the traditional manual multi-function switching, the multi-function adaptive non-disturbance switching method based on wind and solar prediction information proposed in the present invention can realize adaptive switching between multi-functions according to the wind and solar fluctuation rate in the future period, and ensure that the switched function is the optimal operation function for suppressing wind and solar fluctuation in the future time period. At the same time, the wind and solar station non-disturbance switching method mentioned in the invention comprehensively considers the wind and solar output characteristics and the station operation information, and effectively reduces the disturbance of the grid connection point caused by the difference in wind and solar characteristics during the function switching process. In summary, the multifunctional adaptive disturbance-free switching method of wind-solar station based on wind-solar prediction information proposed in the present invention reduces manual operation, improves the rationality of the station operation function, avoids the fluctuation of the active output of the grid-connected point when the wind-solar station performs multifunctional switching, and improves the command tracking accuracy and grid stability of the wind-solar station.

[0114] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0115] Based on the same inventive concept, the embodiment of the present application also provides a wind-solar station multifunctional non-disturbance switching system based on wind-solar prediction information for implementing the wind-solar station multifunctional non-disturbance switching method based on wind-solar prediction information involved above. The implementation scheme for solving the problem provided by the system is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the wind-solar station multifunctional non-disturbance switching system based on wind-solar prediction information provided below can refer to the limitations of the wind-solar station multifunctional non-disturbance switching method based on wind-solar prediction information above, and will not be repeated here.

[0116] In one embodiment, a multifunctional disturbance-free switching system for wind-solar station based on wind-solar forecast information is provided, comprising:

[0117] A prediction module is used to obtain the predicted photovoltaic fluctuation rate of the photovoltaic power station in the future period and the predicted wind power fluctuation rate of the wind farm in the future period;

[0118] A judgment module is used to judge the target operation function according to the current operation function, the photovoltaic predicted volatility and the wind power predicted volatility; the operation functions include wind-solar ratio allocation, photovoltaic output priority and wind power output priority;

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

[0120] The second matching module is used to obtain the target active power instruction of the photovoltaic power station based on the active power actually generated by the wind farm and the active power instruction dispatched at the current moment;

[0121] A step-size constraint module is used to constrain the step-size of the wind farm and the photovoltaic power station according to 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;

[0122] The output confirmation module is used to determine whether the multi-function switching is completed according to the deviation between the target active power instruction of the wind farm at the current moment and the actual active power of the wind farm.

[0123] Each module in the above-mentioned wind-solar station multifunctional disturbance-free switching system based on wind-solar forecast information can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each of the above modules.

[0124] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in all the above method embodiments when executing the computer program.

[0125] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in all the above method embodiments are implemented.

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

[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, stored data, displayed data, 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 relevant data must comply with relevant laws, regulations and standards of relevant countries and regions.

[0128] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present 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. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0129] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, 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 above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A multifunctional disturbance-free switching method for wind and solar power stations based on wind and solar power forecast information, characterized in that: The method comprises: Obtain the predicted photovoltaic volatility of the photovoltaic power station in the future period and the predicted wind power volatility of the wind farm in the future period; According to the current operation function, the photovoltaic predicted volatility and the wind power predicted volatility, the target operation function is determined; the operation function includes wind-solar ratio allocation, photovoltaic output priority and wind power output priority; Based on the current wind and solar power station operation information and the current dispatching active power instruction, the current operation function and the target operation function are switched and matched to obtain the target active power instruction of the wind farm; Based on the actual active power generated by the wind farm and the active power command dispatched at the current moment, obtaining a target active power command of the photovoltaic power station; According to 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; Whether the multi-function switching is completed is judged according to 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.

2. The method according to claim 1, characterized in that The determining of the target operating function according to the current operating function, the photovoltaic predicted volatility and the wind power predicted volatility includes: The photovoltaic predicted volatility and the wind power predicted volatility are respectively compared with the corresponding preset upper and lower limits of fluctuations to obtain the photovoltaic volatility crossing the line situation and the wind power volatility crossing the line situation, and the target operation function is determined in combination with the current operation function.

3. The method according to claim 2, characterized in that Determining the target operation function includes: When the current operation function is wind-solar ratio allocation, if the predicted wind power volatility is less than the lower limit of wind power volatility, and the predicted photovoltaic volatility is greater than the upper limit of photovoltaic volatility, then the target operation function is wind power output priority; When the current operation function is wind-solar ratio allocation, if the photovoltaic predicted volatility is less than the photovoltaic volatility lower limit, and the wind power predicted volatility is greater than the wind power volatility upper limit, then the target operation function is photovoltaic output priority; When the current operation function is to prioritize wind power output, if the photovoltaic predicted volatility is less than the photovoltaic volatility lower limit, and the wind power predicted volatility is greater than the wind power volatility upper limit, then the target operation function is to prioritize photovoltaic output; When the current operation function is wind power output priority, if the photovoltaic predicted volatility is greater than the photovoltaic volatility upper limit, and the wind power predicted volatility is greater than the wind power volatility upper limit, then the target operation function is wind-solar ratio allocation; When the current operation function is photovoltaic output priority, if the wind power predicted volatility is less than the wind power volatility lower limit, and the photovoltaic predicted volatility is greater than the photovoltaic volatility upper limit, then the target operation function is wind power output priority; When the current operating function is photovoltaic output priority, if the photovoltaic predicted volatility is greater than the photovoltaic volatility upper limit, and the wind power predicted volatility is greater than the wind power volatility upper limit, then the target operating function is wind-solar ratio allocation.

4. The method according to claim 1, characterized in that: The switching logic matching of the current operation function and the target operation function is performed based on the current wind and solar power station operation information and the current dispatching active power instruction, and the target active power instruction of the wind farm is obtained, which includes: Comparing the current dispatching active power instruction with the current wind and solar power station operation information to obtain target active power instructions 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 that can be generated by the wind farm, the minimum active power that can be generated by the wind farm, the maximum active power that can be generated by the photovoltaic power station, and the minimum active power that can be generated by the photovoltaic power station.

5. The method according to claim 1, characterized in that Based on the actual active power generated by the wind farm and the active power command dispatched at the current moment, obtaining the target active power command of the photovoltaic power station includes: Compare the difference between the current dispatched active power command and the actual active power generated by the wind farm with the current wind and solar farm 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 instruction of the wind farm.

6. The method according to claim 1, characterized in that The stepping of the wind farm and the photovoltaic power station with respect to the target active power command of the wind farm, the actual active power of the wind farm, the target active power command of the photovoltaic power station, and the actual active power of the photovoltaic power station comprises: Determine the active power command issued by the wind farm at the current moment according to 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 of the wind farm; The active power command issued by the photovoltaic power station at the current moment is determined according to 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 of the photovoltaic power station.

7. The method according to claim 1, characterized in that The step of judging whether the multi-function switching is completed according to 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 comprises: If the absolute value of the deviation is greater than the wind farm regulation dead zone, it is determined that the multi-function switching is completed.

8. A multifunctional disturbance-free switching system for wind and solar power stations based on wind and solar power forecast information, characterized in that: The system comprises: A prediction module is used to obtain the predicted photovoltaic fluctuation rate of the photovoltaic power station in the future period and the predicted wind power fluctuation rate of the wind farm in the future period; A judgment module, used to judge the target operation function according to the current operation function, the photovoltaic predicted volatility and the wind power predicted volatility; the operation function includes wind-solar ratio allocation, photovoltaic output priority and wind power output priority; A first matching module is used to perform switching logic matching on the current operation function and the target operation function based on the current wind and solar station operation information and the current dispatching active power instruction, so as to obtain the target active power instruction of the wind farm; A second matching module is used to obtain a target active power instruction of the photovoltaic power station based on the active power actually generated by the wind farm and the active power instruction dispatched at the current moment; A step-size constraint module, used for performing step-size constraints on the wind farm and the photovoltaic power station according to 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; The output confirmation module is used to determine whether the multi-function switching is completed according to 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.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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