Wind power grid-connected generation simulation system

By predicting the individual dynamic power output curves of wind power plants in sections and adjusting the actual total power output curve, the problems of wind power generation instability and grid coordination are solved, and grid stability and full utilization of wind power generation are achieved.

CN119298202BActive Publication Date: 2025-10-10SKILL TRAINING CENT OF STATE GRID JIANGSU ELECTRIC POWER CO LTD
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Patent Information

Application Number
CN202411492483.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-10-24
Publication Date
2025-10-10
Estimated Expiration
2044-10-24

AI Technical Summary

Technical Problem

The instability of wind power generation and the difficulty in coordinating distributed energy resources lead to instability and challenges in coping with uncontrollable changes when connecting to the grid.

Method used

By predicting the individual dynamic power output curves of wind power plants in sections, adjusting the actual total power output curve, and combining energy storage power stations and external coordinated inputs, we can ensure grid stability and full utilization of wind power generation.

Benefits of technology

Under the premise of grid stability, it has achieved full utilization of the output capacity of wind power plants, reduced grid fluctuations, and improved grid stability and wind power utilization.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application relates to a wind power grid-connected power generation simulation system, which comprises a wind power grid-connected power generation simulation method, the method comprising determining individual dynamic electric energy output curves of wind power generation sources according to previous data; accumulating the individual dynamic electric energy output curves to obtain a predicted total electric energy output curve; comparing the predicted total electric energy output curve with a power grid dynamic electric energy demand curve in a corresponding time period; determining an actual total electric energy output curve of the wind power generation sources according to a comparison result, wherein a difference between the actual total electric energy output curve and the power grid dynamic electric energy demand curve is a constant value or fluctuates within an allowable range, and the actual total electric energy output curve is adjusted according to current stored electric energy of the wind power generation sources and predicted electric energy output. The wind power grid-connected power generation simulation method and the simulation system disclosed by the application can predict the grid connection of multiple wind power plants by means of segmented prediction, so that the capacity output of the wind power plants can be more fully utilized under the premise of maintaining the stability of the power grid.
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Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a wind power grid-connected power generation simulation method and a simulation system. Background Art

[0002] The basic principle of wind power generation is to use a wind turbine to convert wind energy into mechanical energy, which in turn drives a generator to generate electricity. When the wind speed reaches a certain level (such as a breeze speed of 3m / s), the wind turbine starts to rotate, thereby driving the generator to generate electricity.

[0003] As a renewable energy source, wind power is increasingly playing a larger role in power grid deployments with technological advancements and continued expansion. Research into wind power grid integration is ongoing. One suitable approach is to utilize storage power plants as an intermediary, ensuring stable power output and synchronization with grid operating parameters. Storage power plants can also be supplemented with photovoltaic power generation to further stabilize grid-connected power output.

[0004] In addition, since wind power generation is greatly restricted by site conditions, distributed energy is currently being used to handle it. However, this requires coordination among multiple parties, as the output of each wind power plant is unstable and cannot be connected to the grid by relying on fixed parameters.

[0005] Multi-party coordination needs to focus on the unstable output of each wind power plant and the consumption changes of the power grid. At the same time, it is necessary to reserve backup power to deal with uncontrollable changes. How to achieve this method requires further research. Summary of the Invention

[0006] The present invention provides a wind power grid-connected power generation simulation method and simulation system, which predicts the grid connection of multiple wind power plants through a segmented prediction method, so as to more fully utilize the production capacity output of wind power plants while maintaining the stability of the power grid.

[0007] The above-mentioned object of the present invention is achieved through the following technical solutions:

[0008] In a first aspect, the present invention provides a wind power grid-connected power generation simulation method, comprising:

[0009] Determining individual dynamic power output curves of wind power sources based on past data, where there are multiple wind power sources;

[0010] Accumulate multiple individual dynamic power output curves to obtain a predicted total power output curve;

[0011] Compare the predicted total power output curve in the corresponding time period with the dynamic power demand curve of the power grid to obtain a comparison result;

[0012] Determine an actual total power output curve of the wind power source based on the comparison result, wherein the difference between the actual total power output curve and the dynamic power demand curve of the power grid is a constant value or the difference fluctuates within an allowable range;

[0013] The actual total power output curve is adjusted according to the current stored power amount and the predicted power output of the wind power generation source.

[0014] In a possible implementation of the first aspect, determining an actual total power output curve of the wind power generation source according to the comparison result includes:

[0015] Calculate the maximum and minimum differences between the predicted total power output curve and the dynamic power demand curve of the power grid within the corresponding time period;

[0016] Draw a first reference line and a second reference line using the maximum difference and the minimum difference respectively, and predict that the total power output curve is located between the first reference line and the second reference line;

[0017] A third reference line is drawn between the first reference line and the second reference line, wherein the third reference line and the predicted total electric energy output curve form an electric power surplus area and an electric power deficit area;

[0018] Adjust the third reference line in the vertical direction so that the power-rich area is greater than or equal to the power-deficient area;

[0019] The adjusted third reference line is used as the actual total electric energy output curve.

[0020] In a possible implementation of the first aspect, the area of ​​the power-rich region is 1.1-1.2 times the area of ​​the power-deficient region;

[0021] The currently stored electric energy of a set number or a set proportion of wind power generation sources within a specified range does not participate in the generation of the corresponding individual dynamic electric energy output curve.

[0022] In a possible implementation of the first aspect, adjusting the actual total power output curve according to the current stored power amount and the predicted power output of the wind power generation source includes:

[0023] Determine the order of arrangement of power-rich regions and power-deficient regions, and the regional areas of power-rich regions and power-deficient regions;

[0024] The power-rich areas and power-deficient areas in the sequence are grouped according to the arrangement order, the area of ​​the power-rich areas and the area of ​​the power-deficient areas. The difference between the area of ​​the power-rich areas and the area of ​​the power-deficient areas in each group is within the allowable range.

[0025] Calculate the stability of the grouping of power-rich areas and power-deficient areas and obtain stability results;

[0026] Adjust the actual total power output curve based on the stability results.

[0027] In a possible implementation of the first aspect, when the first area in the sequential sequence of a group is a power-deficient area, calculating the stability of the grouping of power-rich areas and power-deficient areas includes:

[0028] comparing the difference between the total remaining power of the wind power source and the area of ​​the power gap area;

[0029] When the difference is greater than zero, the actual total power output curve for the corresponding time period remains unchanged;

[0030] When the difference is less than zero, external coordinated input is requested or the actual total power output curve of the corresponding time period is adjusted downward so that the difference between the total remaining power of the wind power source and the area of ​​the power gap area is greater than or equal to zero.

[0031] In a possible implementation of the first aspect, when the power-rich areas and the power-deficient areas in the sequential sequence are grouped, the first area in a group is the power-rich area;

[0032] When there is an excess power gap area, external coordination input is used to make up for it.

[0033] In a possible implementation of the first aspect, when the first region in the sequential sequence of a group is a power-rich region, the area of ​​the power-rich region is larger than the area of ​​an adjacent power-deficient region;

[0034] The cumulative value of the difference between the area of ​​the power-rich region and the area of ​​the adjacent power-deficient region and the area of ​​the remaining power-rich region is greater than the cumulative value of the area of ​​the remaining power-deficient region.

[0035] In a second aspect, the present invention provides a wind power grid-connected power generation simulation device, comprising:

[0036] A power generation prediction unit, configured to determine an individual dynamic power output curve of a wind power generation source based on past data, wherein the number of wind power generation sources is multiple;

[0037] An individual accumulation unit, used for accumulating multiple individual dynamic power output curves to obtain a predicted total power output curve;

[0038] A comparison processing unit, used to compare the predicted total power output curve within a corresponding time period with the dynamic power demand curve of the power grid to obtain a comparison result;

[0039] a first result output unit, configured to determine an actual total power output curve of the wind power generation source according to the comparison result, wherein the difference between the actual total power output curve and the dynamic power demand curve of the power grid is a constant value or the difference fluctuates within an allowable range;

[0040] The result checking unit is used to adjust the actual total electric energy output curve according to the current stored electric energy and the predicted electric energy output of the wind power generation source.

[0041] In a third aspect, the present invention provides a wind power grid-connected power generation simulation system, the system comprising:

[0042] one or more memories for storing instructions; and

[0043] One or more processors, configured to call and execute the instructions from the memory to perform the method as described in the first aspect and any possible implementation of the first aspect.

[0044] In a fourth aspect, the present invention provides a computer-readable storage medium, the computer-readable storage medium comprising:

[0045] The program, when the program is executed by a processor, the method described in the first aspect and any possible implementation of the first aspect is executed.

[0046] In a fifth aspect, the present invention provides a computer program product comprising program instructions. When the program instructions are executed by a computing device, the method described in the first aspect and any possible implementation of the first aspect is executed.

[0047] In a sixth aspect, the present invention provides a chip system comprising a processor for implementing the functions involved in the above aspects, such as generating, receiving, sending, or processing the data and / or information involved in the above methods.

[0048] The chip system may be composed of chips, or may include chips and other discrete devices.

[0049] In one possible design, the chip system also includes a memory for storing necessary program instructions and data. The processor and the memory can be decoupled and provided on different devices, connected via wired or wireless means, or the processor and the memory can be coupled on the same device. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 It is a schematic flow chart of the steps of a wind power grid-connected power generation simulation method provided by the present invention.

[0051] Figure 2It is a schematic diagram of an individual dynamic electric energy output curve provided by the present invention.

[0052] Figure 3 It is a schematic diagram of a predicted total electric energy output curve provided by the present invention.

[0053] Figure 4 This is a schematic diagram of a principle for determining the range of the third reference line provided by the present invention.

[0054] Figure 5 This is a schematic diagram of the principle of obtaining power-rich areas and power-deficient areas provided by the present invention.

[0055] Figure 6 It is a schematic diagram of the principle of adjusting the actual total electric energy output curve provided by the present invention. DETAILED DESCRIPTION

[0056] The technical solution of the present invention is further described in detail below with reference to the accompanying drawings.

[0057] The present invention discloses a wind power grid-connected power generation simulation method. In some examples, please refer to Figure 1 The wind power grid-connected power generation simulation method disclosed in the present invention includes the following steps:

[0058] S101, determining an individual dynamic power output curve of a wind power source based on previous data, where there are multiple wind power sources;

[0059] S102, accumulating multiple individual dynamic power output curves to obtain a predicted total power output curve;

[0060] S103, comparing the predicted total power output curve in the corresponding time period with the dynamic power demand curve of the power grid to obtain a comparison result;

[0061] S104, determining an actual total power output curve of the wind power source based on the comparison result, wherein the difference between the actual total power output curve and the dynamic power demand curve of the power grid is a constant value or the difference fluctuates within an allowable range;

[0062] S105 , adjusting the actual total power output curve according to the current stored power amount and the predicted power output of the wind power generation source.

[0063] The technical solution disclosed in this invention is applicable to multiple wind turbine sources (wind power plants) within a region. The electricity output by these wind turbines is consumed simultaneously in the same region, or consumed within a specific time period. Of course, the electricity output by these wind turbines can also participate in power allocation. When participating in power allocation, the power curve is essentially a horizontal line, but this aspect is beyond the scope of this invention.

[0064] In step S101, the individual dynamic power output curve of the wind power generator is determined according to the historical data. Figure 2 As shown in the figure, the number of wind power generators is multiple. There are two ways to achieve the mode here, the first way is to determine the individual dynamic power output curve of the wind power generator according to the query mode, and the second way is to input the parameters obtained by the sensor into the prediction model, and then obtain the individual dynamic power output curve of the wind power generator.

[0065] The individual dynamic power output curve of the wind power generator refers to the power output changing with time.

[0066] In step S102, the multiple individual dynamic power output curves are accumulated to obtain a predicted total power output curve (as shown in the figure). Figure 3 Then in step S103, the predicted total power output curve and the grid dynamic power demand curve in the corresponding time period are compared to obtain a comparison result.

[0067] Then in step S104, the actual total power output curve of the wind power generator is determined according to the comparison result, and the difference between the actual total power output curve and the grid dynamic power demand curve is a constant value or fluctuates within an allowable range.

[0068] Specifically, in the present application, the shape of the actual total power output curve and the grid dynamic power demand curve needs to be as consistent as possible, and through the stable difference, other input sources in the grid can be stably output, for example, thermal power, which improves the stability of the grid to a certain extent.

[0069] Finally, in step S105, the actual total power output curve is adjusted according to the current storage power of the wind power generator and the predicted power output.

[0070] The purpose of adjustment is to make the actual total power output curve consistent with the current storage power and the predicted power output, so as to avoid power gap. In the adjustment process, a certain amount of power overflow can be allowed, which can be stored in the energy storage power station or discarded, because the stability of the grid needs to be ensured when connected to the grid, so a certain amount of power abandonment is allowed.

[0071] Overall, the wind grid-connected power generation simulation method provided by the present application can dynamically adjust the grid-connected behavior of the wind power generator according to the actual power demand, which can predict the grid-connected behavior in a time period in advance, so as to realize the full utilization of the wind power generator. The purpose of prediction is to find the power gap, so that in the time period corresponding to the power gap, the problem can be solved by taking pre-emptive measures to avoid the shock of the grid.

[0072] In some examples, the actual total power output curve of the wind power source is determined based on the comparison results in the following manner:

[0073] S201, calculating the maximum and minimum differences between the predicted total power output curve and the power grid dynamic power demand curve within a corresponding time period;

[0074] S202, using the maximum difference and the minimum difference to draw a first reference line and a second reference line, respectively, and predicting that the total power output curve is between the first reference line and the second reference line;

[0075] S203: Draw a third reference line between the first reference line and the second reference line, wherein the third reference line and the predicted total power output curve form a power surplus area and a power deficit area;

[0076] S204, adjusting the third reference line in the vertical direction so that the power-rich area is greater than or equal to the power-deficient area;

[0077] S205 : Using the adjusted third reference line as the actual total electric energy output curve.

[0078] In steps S201 to S205, please refer to Figure 4 The range of the third reference line is determined by the maximum difference and the minimum difference, and then the third reference line is generated by shifting the dynamic power demand curve of the power grid. At this time, the third reference line and the predicted total power output curve form a power-rich area and a power-deficit area. Figure 5 As shown in the figure, for power-rich areas and power-deficient areas, appropriate measures can be designed to fully utilize the output of wind power sources, which can effectively reduce grid fluctuations. Because when the output of wind power sources can meet the design requirements, it means that the stability of the node is relatively high.

[0079] In some possible implementations, the area of ​​the power-rich region is 1.1-1.2 times the area of ​​the power-deficient region. At this time, the excess electricity remains in the energy storage power station and is used as backup power. When the actual power generation of the wind power source is lower than the predicted power generation or an emergency occurs, the backup power is used to fill the gap.

[0080] In some possible implementations, a set number or proportion of currently stored electrical energy of wind power sources within a specified range does not participate in the generation of the corresponding individual dynamic electrical energy output curve, and the currently stored electrical energy of these wind power sources is also used as backup power.

[0081] In some examples, the actual total power output curve is adjusted according to the current stored power amount and the predicted power output of the wind power source in the following manner:

[0082] S301, determining the order of arrangement of power-rich regions and power-deficient regions, the area of ​​the power-rich regions, and the area of ​​the power-deficient regions;

[0083] S302, grouping the power-rich areas and the power-deficient areas in the sequence according to the arrangement order, the area of ​​the power-rich areas, and the area of ​​the power-deficient areas, wherein the difference between the area of ​​the power-rich areas and the area of ​​the power-deficient areas in each group is within an allowable range;

[0084] S303, calculating the stability of the grouping of power-rich areas and power-deficient areas to obtain stability results;

[0085] S304: Adjust the actual total power output curve according to the stability result.

[0086] The contents of step S301 to step S304 are to process the power-rich area and the power-deficient area into units, because compared with treating the entire time period as a unit, it is easier to divide the entire time period into multiple small units and ensure the stability of each small unit.

[0087] The solution of this invention is to ensure that the difference between the area of ​​the power-rich and power-deficient regions in each group is within an allowable range. The stability of the power-rich and power-deficient regions is then calculated, and the actual total power output curve is adjusted based on the stability results.

[0088] The adjustment at this time will divide the actual total power output curve into sections, and the section that needs to be adjusted (increase or decrease) will be adjusted. Figure 6 shown.

[0089] When the first region in the sequence of a group is a power-deficient region, the stability of the grouping of power-rich regions and power-deficient regions is calculated as follows:

[0090] comparing the difference between the total remaining power of the wind power source and the area of ​​the power gap area;

[0091] When the difference is greater than zero, the actual total power output curve for the corresponding time period remains unchanged;

[0092] When the difference is less than zero, external coordinated input is requested or the actual total power output curve of the corresponding time period is adjusted downward so that the difference between the total remaining power of the wind power source and the area of ​​the power gap area is greater than or equal to zero.

[0093] This method is to treat the first area in the sequential sequence of a group as a power gap area and process it separately. The processing method is to request external coordinated input or lower the actual total power output curve of the corresponding time period. Because if a power gap occurs at this time, the subsequent power-rich areas and power gap areas will be restricted in processing because the gap is always difficult to fill.

[0094] In some possible implementations, when grouping the power-rich areas and the power-deficient areas in the sequential sequence, the first area in a group is the power-rich area;

[0095] When there is an excess power gap area, external coordination input is used to make up for it.

[0096] In some possible implementations, when the first region in a sequential sequence in a group is a power-rich region, the area of ​​the power-rich region is larger than the area of ​​an adjacent power-gap region. At the same time, it is also required that the difference between the area of ​​the power-rich region and the area of ​​the adjacent power-gap region and the cumulative value of the area of ​​the remaining power-rich regions is greater than the cumulative value of the area of ​​the remaining power-gap regions.

[0097] That is to say, the first power-rich area in the sequence of a group is required to reserve sufficient surplus electricity to cope with the subsequent power shortage.

[0098] The present invention also provides a wind power grid-connected power generation simulation device, comprising:

[0099] A power generation prediction unit, configured to determine an individual dynamic power output curve of a wind power generation source based on past data, wherein the number of wind power generation sources is multiple;

[0100] An individual accumulation unit, used for accumulating multiple individual dynamic power output curves to obtain a predicted total power output curve;

[0101] A comparison processing unit, used to compare the predicted total power output curve within a corresponding time period with the dynamic power demand curve of the power grid to obtain a comparison result;

[0102] a first result output unit, configured to determine an actual total power output curve of the wind power generation source according to the comparison result, wherein the difference between the actual total power output curve and the dynamic power demand curve of the power grid is a constant value or the difference fluctuates within an allowable range;

[0103] The result checking unit is used to adjust the actual total electric energy output curve according to the current stored electric energy and the predicted electric energy output of the wind power generation source.

[0104] Furthermore, it also includes:

[0105] The first calculation unit is used to calculate the maximum difference and the minimum difference between the predicted total power output curve and the dynamic power demand curve of the power grid in the corresponding time period;

[0106] a first reference line drawing unit, configured to draw a first reference line and a second reference line using the maximum difference and the minimum difference respectively, and predict that the total electric energy output curve is located between the first reference line and the second reference line;

[0107] A second reference line drawing unit is used to draw a third reference line between the first reference line and the second reference line, wherein the third reference line and the predicted total electric energy output curve form a power surplus area and a power deficit area;

[0108] a reference line adjustment unit, configured to adjust the third reference line in a vertical direction so that the power-rich area is greater than or equal to the power-deficient area;

[0109] The second result output unit is configured to use the adjusted third reference line as the actual total electric energy output curve.

[0110] Furthermore, the area of ​​power-rich regions is 1.1-1.2 times that of power-deficient regions;

[0111] The currently stored electric energy of a set number or a set proportion of wind power generation sources within a specified range does not participate in the generation of the corresponding individual dynamic electric energy output curve.

[0112] Furthermore, it also includes:

[0113] an information determination unit, configured to determine an arrangement order of power-rich areas and power-deficient areas, an area of ​​the power-rich areas, and an area of ​​the power-deficient areas;

[0114] a grouping unit, configured to group the power-rich areas and the power-deficient areas in the sequence according to the arrangement order, the area of ​​the power-rich areas, and the area of ​​the power-deficient areas, wherein the difference between the area of ​​the power-rich areas and the area of ​​the power-deficient areas in each group is within an allowable range;

[0115] The second calculation unit is used to calculate the stability of the grouping of power-rich areas and power-deficient areas to obtain stability results;

[0116] The adjustment unit is used to adjust the actual total electric energy output curve according to the stability result.

[0117] Furthermore, it also includes:

[0118] a comparing unit, configured to compare a difference between the total remaining power of the wind power generation source and the area of ​​the power shortage area;

[0119] When the difference is greater than zero, the actual total power output curve for the corresponding time period remains unchanged;

[0120] When the difference is less than zero, external coordinated input is requested or the actual total power output curve of the corresponding time period is adjusted downward so that the difference between the total remaining power of the wind power source and the area of ​​the power gap area is greater than or equal to zero.

[0121] Furthermore, when the power-rich regions and power-deficient regions in the sequential sequence are grouped, the first region in a group is the power-rich region;

[0122] When there is an excess power gap area, external coordination input is used to make up for it.

[0123] Furthermore, when the first region in the sequential sequence of a group is a power-rich region, the area of ​​the power-rich region is larger than the area of ​​the adjacent power-deficient region;

[0124] The cumulative value of the difference between the area of ​​the power-rich region and the area of ​​the adjacent power-deficient region and the area of ​​the remaining power-rich region is greater than the cumulative value of the area of ​​the remaining power-deficient region.

[0125] In one example, the unit in any of the above devices can be one or more integrated circuits configured to implement the above method, such as: one or more application specific integrated circuits (ASICs), or, one or more digital signal processors (DSPs), or, one or more field programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.

[0126] For another example, when the units in the device can be implemented in the form of a processing element scheduling program, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call programs. For another example, these units can be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0127] Various objects such as various messages / information / equipment / network elements / systems / devices / actions / operations / processes / concepts that may appear in the present invention are named. It can be understood that these specific names do not constitute a limitation on the relevant objects. The names assigned may change with factors such as scenarios, contexts or usage habits. The understanding of the technical meaning of the technical terms in the present invention should be mainly determined from the functions and technical effects embodied / executed in the technical solutions.

[0128] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0129] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0130] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0131] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0132] It should also be understood that in various embodiments of the present invention, the terms "first," "second," and so on are merely used to indicate that multiple objects are distinct. For example, the first time window and the second time window are merely used to indicate different time windows. These terms should not affect the time windows themselves, and the terms "first," "second," and so on should not limit the embodiments of the present invention in any way.

[0133] It should also be understood that in the various embodiments of the present invention, unless otherwise specified or there is any logical conflict, the terms and / or descriptions between different embodiments are consistent and can be referenced to each other, and the technical features in different embodiments can be combined to form new embodiments according to their inherent logical relationships.

[0134] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a computer-readable storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned computer-readable storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0135] The present invention also provides a wind power grid-connected power generation simulation system, the system comprising:

[0136] one or more memories for storing instructions; and

[0137] One or more processors are used to call and execute the instructions from the memory to perform the method as described above.

[0138] The present invention also provides a computer program product, which includes instructions. When the instructions are executed, the terminal device and the network device perform operations of the terminal device and the network device corresponding to the above method.

[0139] The present invention also provides a chip system, which includes a processor for implementing the functions involved in the above content, such as generating, receiving, sending, or processing the data and / or information involved in the above method.

[0140] The chip system may be composed of chips, or may include chips and other discrete devices.

[0141] The processor mentioned in any of the above may be a CPU, a microprocessor, an ASIC, or one or more integrated circuits for executing a program for controlling the above-mentioned feedback information transmission method.

[0142] In one possible design, the chip system also includes a memory for storing necessary program instructions and data. The processor and the memory can be decoupled and provided on different devices, respectively, and connected via wired or wireless means to support the chip system in implementing the various functions of the above embodiments. Alternatively, the processor and the memory can be coupled on the same device.

[0143] Optionally, the computer instructions are stored in a memory.

[0144] Optionally, the memory is a storage unit within the chip, such as a register, cache, etc. The memory can also be a storage unit within the terminal located outside the chip, such as ROM or other types of static storage devices that can store static information and instructions, RAM, etc.

[0145] It can be understood that the memory in the present invention can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories.

[0146] The non-volatile memory may be ROM, programmable ROM (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory.

[0147] Volatile memory can be RAM, which is used as an external cache memory. There are many different types of RAM, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous DRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), and direct memory bus RAM.

[0148] The embodiments of this specific implementation method are all preferred embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Therefore, any equivalent changes made based on the structure, shape, and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A wind power grid-connected power generation simulation method, characterized in that: include: Determining individual dynamic power output curves of wind power sources based on past data, where there are multiple wind power sources; Accumulate multiple individual dynamic power output curves to obtain a predicted total power output curve; Compare the predicted total power output curve in the corresponding time period with the dynamic power demand curve of the power grid to obtain a comparison result; Determine an actual total power output curve of the wind power source based on the comparison result, wherein the difference between the actual total power output curve and the dynamic power demand curve of the power grid is a constant value or the difference fluctuates within an allowable range; Adjusting the actual total power output curve based on the current stored power amount and predicted power output of the wind power generation source; Determining the actual total electric energy output curve of the wind power generation source based on the comparison result includes: calculating the maximum difference and the minimum difference between the predicted total electric energy output curve and the dynamic electric energy demand curve of the power grid in the corresponding time period; using the maximum difference and the minimum difference to draw a first reference line and a second reference line respectively, and the predicted total electric energy output curve is located between the first reference line and the second reference line; drawing a third reference line between the first reference line and the second reference line, and the third reference line and the predicted total electric energy output curve forming a power-rich area and a power-deficit area; adjusting the third reference line in the vertical direction so that the power-rich area is greater than or equal to the power-deficit area; and using the adjusted third reference line as the actual total electric energy output curve; the actual total electric energy output curve and the predicted total electric energy output curve represent power output that changes over time; Adjusting the actual total power output curve based on the current stored power amount and predicted power output of the wind power generation source includes: determining an arrangement order of power-rich areas and power-deficit areas, and determining the area of ​​the power-rich areas and the area of ​​the power-deficit areas; grouping the power-rich areas and the power-deficit areas in the order sequence according to the arrangement order, the area of ​​the power-rich areas, and the area of ​​the power-deficit areas, such that the difference between the area of ​​the power-rich areas and the area of ​​the power-deficit areas in each group is within an allowable range; calculating the stability of the grouping of the power-rich areas and the power-deficit areas to obtain a stability result; and adjusting the actual total power output curve based on the stability result. When the first area in the sequential sequence of a group is a power gap area, calculating the stability of the grouping of power-rich areas and power gap areas includes: comparing the difference between the total surplus power of the wind power source and the regional area of ​​the power gap area; when the difference is greater than zero, the actual total power output curve of the corresponding time period remains unchanged; when the difference is less than zero, requesting external coordinated input or lowering the actual total power output curve of the corresponding time period, so that the difference between the total surplus power of the wind power source and the regional area of ​​the power gap area is greater than or equal to zero.

2. The wind power grid-connected power generation simulation method according to claim 1, characterized in that: The area of ​​power-rich regions is 1.1-1.2 times that of power-deficient regions; The currently stored electric energy of a set number or a set proportion of wind power generation sources within a specified range does not participate in the generation of the corresponding individual dynamic electric energy output curve.

3. The wind power grid-connected power generation simulation method according to claim 1, characterized in that: When grouping the power-rich regions and power-deficient regions in the sequence, the first region in a group is the power-rich region; When there is an excess power gap area, external coordination input is used to make up for it.

4. The wind power grid-connected power generation simulation method according to claim 3, characterized in that: When the first region in the sequence of a group is a power-rich region, the area of ​​the power-rich region is larger than the area of ​​the adjacent power-deficient region; The cumulative value of the difference between the area of ​​the power-rich area and the area of ​​the adjacent power-deficient area and the area of ​​the remaining power-rich areas is greater than the cumulative value of the area of ​​the remaining power-deficient areas.

5. A wind power grid-connected power generation simulation device, characterized in that: include: A power generation prediction unit, configured to determine an individual dynamic power output curve of a wind power generation source based on past data, wherein the number of wind power generation sources is multiple; An individual accumulation unit, used for accumulating multiple individual dynamic power output curves to obtain a predicted total power output curve; A comparison processing unit, used to compare the predicted total power output curve within a corresponding time period with the dynamic power demand curve of the power grid to obtain a comparison result; a first result output unit, configured to determine an actual total power output curve of the wind power generation source according to the comparison result, wherein the difference between the actual total power output curve and the dynamic power demand curve of the power grid is a constant value or the difference fluctuates within an allowable range; A result checking unit is used to adjust the actual total power output curve according to the current stored power amount and the predicted power output of the wind power generation source; Determining the actual total electric energy output curve of the wind power generation source based on the comparison result includes: calculating the maximum difference and the minimum difference between the predicted total electric energy output curve and the dynamic electric energy demand curve of the power grid in the corresponding time period; using the maximum difference and the minimum difference to draw a first reference line and a second reference line respectively, and the predicted total electric energy output curve is located between the first reference line and the second reference line; drawing a third reference line between the first reference line and the second reference line, and the third reference line and the predicted total electric energy output curve forming a power-rich area and a power-deficit area; adjusting the third reference line in the vertical direction so that the power-rich area is greater than or equal to the power-deficit area; and using the adjusted third reference line as the actual total electric energy output curve; the actual total electric energy output curve and the predicted total electric energy output curve represent power output that changes over time; Adjusting the actual total power output curve based on the current stored power amount and predicted power output of the wind power generation source includes: determining an arrangement order of power-rich areas and power-deficit areas, and determining the area of ​​the power-rich areas and the area of ​​the power-deficit areas; grouping the power-rich areas and the power-deficit areas in the order sequence according to the arrangement order, the area of ​​the power-rich areas, and the area of ​​the power-deficit areas, such that the difference between the area of ​​the power-rich areas and the area of ​​the power-deficit areas in each group is within an allowable range; calculating the stability of the grouping of the power-rich areas and the power-deficit areas to obtain a stability result; and adjusting the actual total power output curve based on the stability result. When the first area in the sequential sequence of a group is a power gap area, calculating the stability of the grouping of power-rich areas and power gap areas includes: comparing the difference between the total surplus power of the wind power source and the regional area of ​​the power gap area; when the difference is greater than zero, the actual total power output curve of the corresponding time period remains unchanged; when the difference is less than zero, requesting external coordinated input or lowering the actual total power output curve of the corresponding time period, so that the difference between the total surplus power of the wind power source and the regional area of ​​the power gap area is greater than or equal to zero.

6. A wind power grid-connected power generation simulation system, characterized in that: The system comprises: one or more memories for storing instructions; and One or more processors, configured to call and execute the instructions from the memory to perform the method according to any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that The computer-readable storage medium comprises: The program, when executed by a processor, executes the method according to any one of claims 1 to 4.

Citation Information

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