A wind power ratio sensitivity analysis method

Abstract

This invention belongs to the technical field of power grid frequency regulation influencing factor analysis, and particularly relates to a method for sensitivity analysis of wind power ratio, more specifically, a method for sensitivity analysis of wind power ratio considering wind-thermal synergy. The invention includes the following steps: establishing a simulation model of wind turbine participation in frequency regulation in the power system simulation software ADPSS, and inputting parameters to obtain the simulation trajectory of the power grid frequency dynamic process; analyzing the simulation trajectory by adjusting the simulation parameters to find relevant parameters with large influence weights, and defining them as characteristic indicators of frequency dynamic process sensitivity; establishing a system frequency evaluation function considering wind-thermal synergy by determining the characteristic indicators of sensitivity and using them as variables; and performing sensitivity analysis on the wind power ratio based on the system frequency evaluation function considering wind-thermal synergy. This invention can more effectively and reliably perform sensitivity analysis on the wind power ratio, providing a technical basis and practical method for the stable operation of wind-thermal synergy systems during low-frequency load shedding.

Description

Technical Field

[0001] This invention belongs to the technical field of power grid frequency regulation influencing factor analysis, and particularly relates to a wind power ratio sensitivity analysis method, and more specifically to a wind power ratio sensitivity analysis method considering wind-thermal synergy. Background Technology

[0002] In recent years, a large number of new energy sources have been connected to the grid. While bringing economic benefits, this has also brought some negative impacts to the operation of the power grid. Wind power is characterized by randomness, volatility, and low predictability; its insufficient fault ride-through capability easily leads to large-scale grid disconnection after fault disturbances; at the same time, wind power is connected to the grid through power electronics, resulting in weak coupling with the system and a low equivalent inertia of the system after wind and solar integration. Due to these characteristics that differ from conventional power sources, the risk of unstable system frequency operation will increase after high-penetration wind power is connected to the grid, making frequency security control of the system more difficult, and emergency frequency control after high-penetration wind power grid connection will face a series of challenges.

[0003] Among these issues, wind power disconnection from the grid is one of the most prominent problems. Its direct consequence is a significant power imbalance disturbance in the system, leading to a drop in system frequency. When transmission channels or other critical components experience severe faults such as disconnections, the receiving end will suffer a substantial power loss, causing low-frequency problems. The large-scale integration of wind power into the receiving end further complicates low-frequency issues and corresponding emergency control measures. Low-frequency load shedding is a safety control measure that, during actual power system operation, quickly disconnects a portion of the load to restore the frequency to near its rated value after an active power deficit caused by disturbances, preventing frequency collapse. As a crucial third line of defense in power grid security and stability control, low-frequency load shedding can prevent major blackouts and ensure system frequency stability. The rationality of its setting is crucial to the safe and stable operation of the power grid, especially with the emergence of new grid patterns and characteristics such as high-penetration wind power.

[0004] The key to solving this problem lies in how to weigh the impact of wind power share on the overall system's low-frequency load shedding. The complexity of this impact lies in the fact that, on the one hand, we need to consider the influence of different wind power shares corresponding to different system parameters; on the other hand, we need to consider the impact of changes in wind power share on the entire system, thereby clarifying the direction of subsequent adjustments to the low-frequency load shedding strategy. Summary of the Invention

[0005] To address the shortcomings of the existing technologies, this invention provides a method for sensitivity analysis of wind power share. Its purpose is to achieve the goal of sensitivity analysis of wind power share by establishing a simulation model of wind turbine participation in frequency regulation in the power system simulation software ADPSS, and establishing a system frequency evaluation function considering wind-thermal synergy.

[0006] The technical solution adopted by the present invention to achieve the above objectives is as follows:

[0007] A sensitivity analysis method for wind power proportion includes the following steps:

[0008] Step 1. Establish a simulation model of wind turbines participating in frequency regulation in the power system simulation software, input parameters, and obtain the simulation trajectory of the power grid frequency dynamic process;

[0009] Step 2. By adjusting the simulation parameters and analyzing the simulation trajectory, find the relevant parameters that affect the weighting and define them as characteristic indicators of the frequency dynamic process sensitivity;

[0010] Step 3. By determining the characteristic indicators of sensitivity, and using them as variables, a system frequency evaluation function considering wind and fire coordination is established;

[0011] Step 4. Perform sensitivity analysis on the wind power ratio based on the system frequency evaluation function that considers wind-thermal synergy.

[0012] Furthermore, step 1 involves establishing a simulation model of wind turbines participating in frequency regulation in the power system simulation software ADPSS, and inputting parameters to obtain the simulation trajectory of the power grid frequency dynamic process; including:

[0013] Step (1) Establish the inertial control model and the standby power control model for the wind turbine participating in frequency regulation;

[0014] The inertial control model and the backup power control model are applicable to different wind speed conditions for wind turbine frequency regulation. Combining the two yields a simulation model for wind turbine participation in frequency regulation applicable to various situations.

[0015] The aforementioned establishment of an inertial control model for wind turbine participation in frequency regulation refers to using the grid frequency change rate... and the change in grid frequency Δf w , as an input variable, once Beyond the dead zone, the doubly-fed wind turbine will rapidly release or absorb rotor kinetic energy, thereby changing the active power output of the turbine and participating in primary frequency regulation. This can be expressed mathematically as:

[0016]

[0017] Where △P represents the output of the inertial control element, P jf and P ff The term "for" is a substitute for the formula and has no practical meaning. Δf represents the difference between the grid frequency and the reference frequency. It is the rate of change of the power grid frequency, Δf w K represents the change in power grid frequency. j and K f It is a ratio or multiple;

[0018] Step (2) Use the custom modeling function in the power system simulation software to establish a system model that considers wind power frequency regulation;

[0019] The custom modeling function in the power system simulation software refers to the ability to design various models according to the needs of calculation and analysis without needing to understand the internal structure and programming design of the power system simulation software.

[0020] Step (3) Input parameters for simulation, which means selecting and establishing electrical component models and inputting relevant parameters according to the actual situation of the power grid; it means setting the operating mode and setting faults in the simulation software, running the power system simulation software, and obtaining the frequency simulation trajectory;

[0021] Step (4) Obtain the simulation trajectory of the power grid frequency dynamic process.

[0022] Furthermore, the standby power control model for wind turbines participating in frequency regulation refers to a combination of two frequency regulation methods: one is pitch angle frequency regulation, which adjusts the power factor by changing the pitch angle in the wind turbine to enable the wind turbine to have standby active power; the other is overspeed frequency regulation, which continuously changes the rotor speed and operating position during wind turbine operation to achieve unloaded operation.

[0023] Furthermore, the parameters include: the number and capacity of thermal power units, the number and capacity of wind power units, the inertial time constant of wind power units, rated wind speed, the proportion of different types of loads, the wind-to-thermal ratio, and the system capacity lost during simulated faults, etc.

[0024] Furthermore, the characteristic index of the frequency dynamic process sensitivity refers to the following characteristic indexes used to measure the frequency modulation effect of the system: a) steady-state frequency deviation; b) maximum frequency deviation; c) time to reach the lowest frequency point.

[0025] Furthermore, the system frequency evaluation function refers to a system frequency evaluation function that considers wind and fire coordination, established based on the aforementioned characteristic indicators.

[0026] F(s) = k1α1s + k2α2s + k3α3s + b

[0027] Where s is the proportion of wind power, α1 is the steady-state frequency deviation, α2 is the maximum frequency deviation, α3 is the time to reach the lowest frequency point, k1, k2, and k3 are the correlation coefficients, and b is the correlation constant.

[0028] Furthermore, the sensitivity analysis refers to taking the partial derivatives of the wind power ratio with respect to the steady-state frequency deviation, the maximum frequency deviation, and the time of the lowest frequency point, based on the aforementioned system frequency evaluation function considering wind-thermal synergy. The partial derivatives are then multiplied by each weighting coefficient and summed to obtain the sensitivity function of the wind power ratio considering wind-thermal synergy. The sensitivity analysis is then performed by adjusting the parameters and observing the changes in the function value.

[0029] A wind power ratio sensitivity analysis device includes: a power system simulation module for power system simulation.

[0030] A computer device includes a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, characterized in that the processor executes the computer program to implement the steps of any of the wind power ratio sensitivity analysis methods described above.

[0031] A computer storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of any of the wind power ratio sensitivity analysis methods described above.

[0032] The present invention has the following beneficial effects and advantages:

[0033] The sensitivity analysis method used in this invention takes into account the impact of the proportion of wind turbines on the low-frequency load reduction of the system during the startup process. It can more effectively and reliably conduct sensitivity analysis on the proportion of wind power, providing technical basis and practical method for the stable operation of wind-thermal co-generation systems during low-frequency load reduction.

[0034] The basic idea of ​​the wind power ratio sensitivity analysis method considering wind-thermal synergy proposed in this invention is as follows: Based on the custom modeling function in the power system simulation software ADPSS, considering various operating conditions during system startup, an inertial control model and a reserve power control model for wind turbines participating in frequency regulation are established. Under the condition of considering the wind power ratio, a system frequency evaluation function is established for sensitivity analysis, thereby greatly improving the reliability and practicality of low-frequency load shedding in wind-thermal synergy systems.

[0035] This invention presents a sensitivity analysis method for wind power ratio considering wind-thermal synergy, which improves the reliability of low-frequency load shedding in the system. Traditional self-starting methods only consider the impact of thermal power units on the power grid and cannot adapt to the current situation of the increasing proportion of wind power units. The large-scale integration of wind power into the receiving end complicates low-frequency issues and corresponding emergency control measures. This invention establishes a system frequency evaluation function considering wind-thermal synergy and performs sensitivity analysis on wind power ratio to clarify the impact of wind power ratio on system frequency regulation, thereby improving the reliability of low-frequency load shedding.

[0036] This invention is easy to implement, making data acquisition more convenient, and it is also easy to commercialize. With the increasing proportion of wind power, this invention will inevitably have a large demand and good commercial development prospects. Attached Figure Description

[0037] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which:

[0038] Figure 1 This is the overall flowchart of the method of the present invention;

[0039] Figure 2 This is a schematic diagram of the inertial control model for wind turbine participation in frequency regulation according to the present invention;

[0040] Figure 3 This is a schematic diagram of the wind turbine standby power control model of the present invention. Detailed Implementation

[0041] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0042] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0043] The following reference Figures 1-3 The technical solutions of some embodiments of the present invention are described below.

[0044] Example 1

[0045] This invention provides an embodiment of a method for sensitivity analysis of wind power proportion. For example... Figure 1 As shown, Figure 1 This is the overall flowchart of the method of the present invention. More specifically, it is a sensitivity analysis method for the proportion of wind power considering wind-thermal synergy. In the wind-thermal synergy system, a simulation model of wind turbines participating in frequency regulation is established in power system simulation software. The simulation is performed to obtain the simulation trajectory of the dynamic process of the power grid frequency. Based on the simulation trajectory data, a system frequency evaluation function considering wind-thermal synergy is established to perform sensitivity analysis on the proportion of wind power.

[0046] This invention discloses a sensitivity analysis method for the proportion of wind power, comprising the following steps:

[0047] Step 1. Establish a simulation model of wind turbines participating in frequency regulation in the power system simulation software ADPSS, input parameters, and obtain the simulation trajectory of the power grid frequency dynamic process; specifically including the following steps:

[0048] Step (1) Establish the inertial control model and the standby power control model for the wind turbine participating in frequency regulation;

[0049] The inertial control model and the backup power control model are applicable to different wind speed conditions for wind turbine frequency regulation. Combining the two yields a simulation model for wind turbine participation in frequency regulation applicable to various situations.

[0050] The inertial control model for wind turbines participating in frequency regulation described in this invention refers to using the rate of change of the power grid frequency. and the change in grid frequency Δf w For input variables, once Beyond the dead zone, the doubly-fed induction generator (DFIG) will rapidly release or absorb rotor kinetic energy, thereby altering the turbine's active power output and achieving participation in primary frequency regulation. This can be expressed mathematically as:

[0051]

[0052] Where △P represents the output of the inertial control element, P jf and P ff The term "for" is a substitute for the formula and has no practical meaning. Δf represents the difference between the grid frequency and the reference frequency. It is the rate of change of the power grid frequency, Δf w K represents the change in power grid frequency. j and K f It is a ratio or multiple;

[0053] The standby power control model for wind turbines participating in frequency regulation described in this invention refers to a combination of two frequency regulation methods: one is pitch angle frequency regulation, which adjusts the power factor by changing the pitch angle in the wind turbine to enable the wind turbine to have standby active power; the other is overspeed frequency regulation, which continuously changes the rotor speed and operating position during the operation of the wind turbine to achieve unloaded operation.

[0054] Step (2) Use the custom modeling function in the power system simulation software ADPSS to establish a system model that considers wind power frequency regulation;

[0055] The custom modeling function in the power system simulation software ADPSS refers to the ability to design various models according to the needs of calculation and analysis without needing to understand the internal structure and programming design of the power system simulation software ADPSS.

[0056] Step (3) Input parameters and perform simulation;

[0057] The simulation of input parameters refers to selecting and establishing electrical component models and inputting relevant parameters based on the actual situation of the power grid. These parameters include: the number and capacity of thermal power units, the number and capacity of wind power units, the inertial time constant of wind power units, rated wind speed, the proportion of different types of loads, the wind-to-thermal ratio, and the system capacity loss during simulated faults, etc.

[0058] The process involves setting the operating mode and faults in the simulation software, running the power system simulation software, and obtaining the frequency simulation trajectory.

[0059] Step (4) Obtain the simulation trajectory of the power grid frequency dynamic process;

[0060] Step 2. By adjusting the simulation parameters and analyzing the simulation trajectory, find the relevant parameters that affect the weighting and define them as characteristic indicators of the frequency dynamic process sensitivity;

[0061] The characteristic index for defining the sensitivity of the frequency dynamic process refers to the following characteristic indexes used to measure the frequency modulation effect of the system: a) steady-state frequency deviation; b) maximum frequency deviation; c) time to reach the lowest frequency point.

[0062] Step 3. By determining the characteristic indicators of sensitivity, and using them as variables, a system frequency evaluation function considering wind and fire coordination is established;

[0063] The system frequency evaluation function refers to a system frequency evaluation function that considers wind and fire coordination, based on the aforementioned characteristic indicators.

[0064] F(s) = k1α1s + k2α2s + k3α3s + b

[0065] Where s is the proportion of wind power, α1 is the steady-state frequency deviation, α2 is the maximum frequency deviation, α3 is the time to reach the lowest frequency point, k1, k2, and k3 are the correlation coefficients, and b is the correlation constant.

[0066] Step 4. Based on the system frequency evaluation function considering wind and thermal synergy, perform sensitivity analysis on the proportion of wind power;

[0067] The sensitivity analysis refers to the process of calculating the partial derivatives of the wind power ratio with respect to the steady-state frequency deviation, the maximum frequency deviation, and the time of the lowest frequency point, based on the system frequency evaluation function considering wind-thermal synergy. The partial derivatives are then multiplied by each weighting coefficient and summed to obtain the sensitivity function of the wind power ratio considering wind-thermal synergy. The changes in the function value are observed by adjusting the parameters to perform the sensitivity analysis.

[0068] Example 2

[0069] This invention provides another embodiment, which is a method for sensitivity analysis of wind power proportion. For example... Figure 1 As shown, Figure 1This is the overall flowchart of the method of this invention. It is worth noting that, as can be seen from the flowchart, this method establishes a system model considering wind power frequency regulation through the custom modeling function in the power system simulation software ADPSS, obtains data through simulation, establishes a system frequency evaluation function considering wind and thermal synergy, and then performs sensitivity analysis on the wind power ratio. This is the essential difference between this method and other methods.

[0070] like Figure 2 As shown, Figure 2 This is a schematic diagram of the inertial control model for wind turbine participation in frequency regulation according to the present invention. It refers to the rate of change of the grid frequency. and the change in grid frequency Δf w For input variables, once Beyond the dead zone, the doubly-fed induction generator (DFIG) will rapidly release or absorb rotor kinetic energy, thereby altering the turbine's active power output and achieving participation in primary frequency regulation. This can be expressed mathematically as:

[0071]

[0072] Where △P represents the output of the inertial control element, P jf and P ff The term "for" is a substitute for the formula and has no practical meaning. Δf represents the difference between the grid frequency and the reference frequency. It is the rate of change of the power grid frequency, Δf w K represents the change in power grid frequency. j and K f It is a ratio or multiple;

[0073] like Figure 3 As shown, Figure 3 This is a schematic diagram of the wind turbine standby power control model of the present invention. In the medium wind speed region, the rotor speed is increased to enable unloaded operation, i.e., overspeed unloading. Combined with the frequency response control loop on the generator rotor side, frequency control of the DFIG in this region can be achieved. When the system experiences load disturbances or turbine tripping causing a drop in system frequency, the DFIG can adjust the rotor speed under the combined action of overspeed unloading control and frequency response control, thereby reducing the rotor speed to release active power reserves and rotor kinetic energy to participate in system frequency regulation.

[0074] When the wind speed exceeds the rated wind speed, frequency control can only be achieved through pitch angle control. By adding a frequency response control component to the existing pitch angle load reduction control, frequency control of the DFIG in high wind speed regions can be realized. The pitch angle load reduction control component primarily achieves load reduction operation in high wind speed regions by adding a load reduction reserve pitch angle to the existing pitch angle control. In the frequency response control component, when a deviation occurs in the system frequency, this deviation is sent to the PI controller to generate a reference value for pitch angle change, thereby altering the final value of the pitch angle and thus changing the active power output of the DFIG.

[0075] Example 3

[0076] The present invention provides another embodiment of a wind power proportion sensitivity analysis device, comprising:

[0077] The ADPSS module for power system simulation is used to implement power system simulation.

[0078] Example 4

[0079] Based on the same inventive concept, embodiments of the present invention also provide a computer device, including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor. When the processor executes the computer program, it implements the steps of any of the wind power proportion sensitivity analysis methods described in Embodiment 1 or 2.

[0080] Example 5

[0081] Based on the same inventive concept, this embodiment of the invention also provides a computer storage medium storing a computer program, which, when executed by a processor, implements the steps of any of the wind power ratio sensitivity analysis methods described in embodiment 1 or 2.

[0082] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0083] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0084] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0085] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0086] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A wind power ratio sensitivity analysis method, characterized in that: Includes the following steps: Step 1. Establish a simulation model of wind turbines participating in frequency regulation in the power system simulation software, and input parameters to obtain the simulation trajectory of the dynamic process of the power grid frequency; including: Step (1) Establish an inertial control model and a reserve power control model for wind turbines participating in frequency regulation; The inertial control model and the reserve power control model are applicable to different wind speed conditions for wind turbine frequency regulation, and the two are combined to obtain a simulation model of wind turbines participating in frequency regulation applicable to various conditions; The establishment of the inertial control model for wind turbines participating in frequency regulation refers to the use of the power grid frequency change rate and power grid frequency variation For input variables, once Beyond the dead zone, the doubly-fed wind turbine will rapidly release or absorb rotor kinetic energy, thereby changing the active power output of the turbine and participating in primary frequency regulation. This can be expressed mathematically as: Where △P represents the output of the inertial control loop, P jf and P ff The term "for" is a substitute for the formula and has no practical meaning. Δf represents the difference between the grid frequency and the reference frequency. It is the rate of change of the power grid frequency. This represents the change in power grid frequency. and It is a ratio multiple; Step (2) Use the custom modeling function in the power system simulation software to establish a system model considering wind power frequency regulation; The custom modeling function in the power system simulation software refers to designing various models according to the needs of calculation and analysis under the condition that the power system simulation software does not need to understand the internal structure and programming design of the program; Step (3) Input parameters for simulation, which means selecting and establishing electrical component models and inputting relevant parameters according to the actual situation of the power grid; It is to set the running mode and set the fault in the simulation software, run the power system simulation software, and obtain the frequency simulation trajectory; Step (4) Obtain the simulation trajectory of the dynamic process of the power grid frequency; Step 2. By adjusting the simulation parameters and analyzing the simulation trajectory, find the relevant parameters that affect the weighting and define them as characteristic indicators of the frequency dynamic process sensitivity; Step 3. By determining the characteristic indicators of sensitivity, and using them as variables, a system frequency evaluation function considering wind and fire coordination is established; Step 4. Perform sensitivity analysis on the wind power ratio based on the system frequency evaluation function that considers wind-thermal synergy.

2. The wind power ratio sensitivity analysis method according to claim 1, characterized in that: The standby power control model for wind turbines participating in frequency regulation refers to a combination of two frequency regulation methods: one is pitch angle frequency regulation, which adjusts the power factor by changing the pitch angle in the wind turbine to enable the wind turbine to have standby active power; the other is overspeed frequency regulation, which continuously changes the rotor speed and operating position during wind turbine operation to achieve unloaded operation.

3. The method for sensitivity analysis of wind power proportion according to claim 1, characterized in that: The parameters include: the number and capacity of thermal power units, the number and capacity of wind power units, the inertial time constant of wind power units, rated wind speed, the proportion of different types of loads, the wind-to-thermal ratio, and the system capacity lost during simulated faults.

4. The wind power ratio sensitivity analysis method according to claim 1, characterized in that: The characteristic index of frequency dynamic process sensitivity refers to the following characteristic indexes used to measure the frequency modulation effect of the system: a) steady-state frequency deviation; b) maximum frequency deviation; c) time to reach the lowest frequency point.

5. The method for sensitivity analysis of wind power proportion according to claim 1, characterized in that: The system frequency evaluation function refers to a system frequency evaluation function that considers wind and fire coordination, based on the aforementioned characteristic indicators. Where 's' represents the proportion of wind power, For steady-state frequency deviation, This represents the maximum frequency deviation. The time to reach the lowest frequency point, , , is the correlation coefficient, and b is the correlation constant.

6. The wind power ratio sensitivity analysis method according to claim 1, characterized in that: The sensitivity analysis refers to the process of calculating the partial derivatives of the wind power ratio with respect to the steady-state frequency deviation, the maximum frequency deviation, and the time of the lowest frequency point, based on the system frequency evaluation function considering wind-thermal synergy. The partial derivatives are then multiplied by each weighting coefficient and summed to obtain the sensitivity function of the wind power ratio considering wind-thermal synergy. The changes in the function value are observed by adjusting the parameters to perform the sensitivity analysis.

7. A method for sensitivity analysis of wind power proportion according to any one of claims 1-6, characterized in that: include: The power system simulation module is used to implement power system simulation.

8. A computer device, comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the wind power proportion sensitivity analysis method according to any one of claims 1-6.

9. A computer storage medium, characterized in that: The computer storage medium contains a computer program, which, when executed by a processor, implements the steps of the wind power ratio sensitivity analysis method according to any one of claims 1-6.

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