Method and device for evaluating adaptability of wind power plant to power grid frequency regulation demand

Abstract

The invention discloses an adaptability evaluation method and device for a power grid frequency regulation demand of a wind power plant, and the method comprises the steps: calculating a short-circuit ratio according to the operation parameters of each wind turbine generator set, so as to evaluate whether each wind turbine generator set can meet the steady-state operation demand of a system or not under the condition of no disturbance; performing equivalent aggregation on wind turbine power response functions and frequency modulation parameters of the wind turbine generator adopting pitch angle load shedding control and overspeed load shedding control respectively; establishing a system frequency response model considering the frequency modulation response of the wind power plant according to an equivalent aggregation result, and evaluating the system frequency stability when disturbance occurs by using the system frequency response model; and according to a wind turbine generator frequency modulation power curve output by the system frequency response model when disturbance occurs, whether each wind turbine generator oscillates due to too low short-circuit ratio is evaluated. According to the method, the frequency adaptability of the wind power plant can be more comprehensively and accurately depicted, and an important reference is provided for supporting planning and frequency modulation parameter design of the wind power plant.

Description

Technical Field

[0001] The present invention relates to the field of wind farm frequency regulation stability analysis, and in particular to a method and device for evaluating the adaptability of a wind farm to power grid frequency regulation requirements. Background Art

[0002] With the rapid development of new energy and the gradual expansion of installed capacity, the proportion of new energy in the power system is getting higher and higher, but the strength of the power grid is gradually weakening. In addition, since new energy generators are connected to the grid using power electronic devices, the new energy generators are decoupled from the power grid, and the frequency regulation capacity of the power system is gradually reduced. During the transformation of the power system, the system inertia response and primary frequency regulation capabilities continue to weaken, and wind power will gradually bear the frequency regulation pressure of the system; therefore, the reasonable evaluation of the frequency stability of the wind power grid-connected system has become one of the key issues that need to be solved for the safe and stable operation of the power grid.

[0003] At present, there are existing studies on the evaluation of wind farm adaptability to the power grid; first, in evaluating the stability of wind turbines in weak power grids (low short-circuit ratio), the full-order state space small signal model of the control delay link is usually used, and the eigenvalue analysis method is used to analyze the system stability. Although this method can determine whether the wind turbine can operate stably under weak power grids, the full-order state space small signal model established by this method is relatively complex and difficult to calculate. The time required to determine the grid-connected stability of wind turbines is long, resulting in low efficiency and difficulty in applying to actual projects. Secondly, in the traditional evaluation of system frequency stability, most of them use the system frequency response model to obtain the minimum inertia required to ensure the frequency stability of the power system, but the system frequency response model established in this method only considers the frequency controller of the wind turbine, ignoring the influence of the wind turbine mechanical part controller of the wind turbine on the frequency modulation power, resulting in low evaluation accuracy of the minimum inertia of the power system.

[0004] In summary, the existing methods for judging the adaptability of new energy units to weak power grids are relatively complex in calculation, while the methods for judging the system frequency stability have low accuracy, and the existing methods cannot determine whether power oscillations will occur in the wind farm during the frequency regulation process due to insufficient power grid strength. Therefore, there is an urgent need for an adaptability assessment scheme that can realize the wind farm's demand for grid frequency regulation in weak power grid conditions. Summary of the invention

[0005] In order to solve the deficiencies in the prior art, the present invention provides a method and device for evaluating the adaptability of a wind farm to the frequency regulation needs of a power grid, which can more comprehensively and accurately characterize the frequency adaptability of a wind farm. It not only realizes the adaptability evaluation of a wind farm to the frequency regulation needs of a power grid under a low short-circuit ratio, but is also easy to implement in engineering, providing an important reference for effectively supporting the planning of wind farms and the design of frequency regulation parameters, thereby improving the safe operation level of the power grid and the wind power acceptance capacity.

[0006] The present invention adopts the following technical solution.

[0007] In a first aspect, the present invention provides a method for evaluating the adaptability of an electric field to a power grid frequency regulation requirement, the method comprising the following steps:

[0008] S1. Calculate the short-circuit ratio of each wind turbine according to its operating parameters to evaluate whether each wind turbine can meet the steady-state operation requirements of the system without disturbance;

[0009] S2, respectively performing equal value aggregation on wind turbine power response functions and frequency modulation parameters of wind turbines using pitch angle load reduction control and overspeed load reduction control in the wind farm;

[0010] S3, establishing a system frequency response model taking into account the frequency regulation response of the wind farm according to the result of the equivalent aggregation in step S2, and using the system frequency response model to evaluate the system frequency stability when a disturbance occurs;

[0011] S4. According to the wind turbine frequency modulation power curve output by the system frequency response model when a disturbance occurs, assess whether each wind turbine has a short-circuit ratio that is too low and thus causes oscillation;

[0012] S5. Combining the evaluation data of the above steps, obtain the adaptability evaluation result of the wind farm to the grid frequency regulation demand.

[0013] Optionally, in step S1, the evaluation criteria for evaluating whether each wind turbine generator set can meet the steady-state operation requirements in the absence of disturbances are:

[0014] If the calculated short-circuit ratio of each wind turbine in the wind farm is not less than 1.5, it is considered that the steady-state operation requirements of the system are met; otherwise, it is considered that they are not met.

[0015] Optionally, in step S2, the step of performing equal-value aggregation on wind turbine power response functions of wind turbines in the wind farm that adopt pitch angle load reduction control includes:

[0016] According to the wind turbine performance parameters of each wind turbine set using pitch angle load reduction control, the corresponding wind turbine power response function is established respectively, and its expression is as follows:

[0017]

[0018] In the formula, represents the wind turbine power response function of the i-th wind turbine using pitch angle load reduction control; and are the rotor inertia time constant and pitch angle delay coefficient of the i-th wind turbine using pitch angle load reduction control; s is the Laplace operator; and are the electromagnetic power constant, speed coefficient and mechanical power constant of the i-th wind turbine using pitch angle load reduction control; is the variable pitch coefficient of the i-th wind turbine using pitch angle load reduction control, and are respectively the proportional coefficient and integral coefficient of the pitch angle PI controller of the i-th wind turbine using pitch angle load reduction control;

[0019] The wind turbine power transfer function of each wind turbine set in the wind farm using pitch angle load reduction control is Perform equal value aggregation to obtain the aggregate transfer function G(s) high_wind The expression is as follows:

[0020]

[0021] In the formula, is the steady-state operating power of the i-th wind turbine in the wind farm that uses pitch angle load reduction, and n is the total number of wind turbines in the wind farm that use pitch angle load reduction control.

[0022] Optionally, in step S2, the step of performing equal value aggregation on the wind turbine power response functions of the wind turbines in the wind farm that adopt overspeed load reduction control includes:

[0023] According to the wind turbine performance parameters of each wind turbine set using overspeed load reduction control, the corresponding wind turbine power response function is established respectively, and its expression is as follows:

[0024]

[0025] In the formula, represents the wind turbine power response function of the hth wind turbine using overspeed load reduction control; is the rotor inertia time constant of the hth wind turbine set using overspeed load reduction control; is the initial speed of the h-th wind turbine using overspeed load reduction control; s is the Laplace operator; and are the load reduction factor and mechanical constant of the hth wind turbine using overspeed load reduction control;

[0026] The wind turbine power transfer function of each wind turbine unit in the wind farm using overspeed load reduction control is Perform equal value aggregation to obtain the aggregate transfer function G(s) low_wind The expression is as follows:

[0027]

[0028] In the formula, is the steady-state operating power of the hth wind turbine in the wind farm that adopts overspeed load reduction control, and m is the total number of wind turbines in the wind farm that adopt overspeed load reduction control.

[0029] Optionally, in step S2, the formula for performing equal value aggregation on the frequency modulation parameters of the wind turbines using pitch angle load reduction control in the wind farm is as follows:

[0030]

[0031]

[0032] In the formula, K VIC_high_wind and K droop_high_wind They are the aggregated values ​​of virtual inertia and droop coefficient of wind turbines using pitch angle load reduction control; and are the inertia control coefficient and droop coefficient of the i-th wind turbine in the wind farm that adopts pitch angle load reduction control; is the steady-state operating power of the i-th wind turbine in the wind farm that uses pitch angle load reduction, and n is the total number of wind turbines in the wind farm that use pitch angle load reduction control.

[0033] Optionally, in step S2, the formula for performing equal value aggregation on the frequency modulation parameters of the wind turbines using overspeed load reduction control in the wind farm is as follows:

[0034]

[0035]

[0036] In the formula, K VIC_low_wind and K droop_low_wind They are the aggregated values ​​of virtual inertia and droop coefficient of wind turbines using overspeed load reduction control; and are the inertia control coefficient and droop coefficient of the hth wind turbine in the wind farm that adopts overspeed load reduction control; is the steady-state operating power of the hth wind turbine in the wind farm that adopts overspeed load reduction control, and m is the total number of wind turbines in the wind farm that adopt overspeed load reduction control.

[0037] Optionally, in step S3, the established system frequency response model includes a primary frequency regulation model of a thermal power unit, a first frequency regulation model of a wind turbine unit using pitch angle load reduction control in a wind farm, a second frequency regulation model of a wind turbine unit using overspeed load reduction control in a wind farm, and an inertia response model of a thermal power unit, and the expressions thereof are as follows:

[0038]

[0039] ΔP W1 (s) = G(s) high_wind (K VIC_high_wind s+K droop_high_wind )

[0040] ΔP W2 (s) = G(s) low_wind (K VIC_low_wind s+K droop_low_wind )

[0041]

[0042] In the formula, ΔP G (s) is the primary frequency modulation power of thermal power units, d is the penetration rate of wind turbines in the system, K M is the mechanical gain coefficient of the thermal power unit, R is the regulation coefficient of the thermal power unit, F H is the work coefficient of the prime mover high pressure steam cylinder, T R is the reheating time constant, s is the Laplace operator; ΔP W1 (s) is the first frequency modulation power of the wind turbine using pitch angle load reduction control, G(s) high_wind , K VIC_high_wind and K droop_high_wind are the wind turbine power aggregation transfer function, virtual inertia aggregation value and droop coefficient aggregation value of the wind turbine using pitch angle load reduction control; ΔP W2 (s) is the second frequency modulation power of the wind turbine using overspeed load reduction control, G(s) low_wind , K VIC_low_wind and K droop_low_wind are the wind turbine power aggregation transfer function, virtual inertia aggregation value and droop coefficient aggregation value of the wind turbine using overspeed load reduction control; Δf(s) is the inertia response model of the thermal power unit, ΔP L is the load active power disturbance; H and D are the equivalent inertia time constant and damping time constant of the thermal power unit respectively.

[0043] Optionally, in step S3, the step of using the system frequency response model to evaluate the system frequency stability when a disturbance occurs includes:

[0044] Set the load active power disturbance value ΔP within the setting range L Input into the system frequency response model to obtain the system frequency maximum change rate RoCoF, the system frequency maximum deviation and the system frequency transient steady-state deviation under the disturbance range;

[0045] If the maximum rate of change of the system frequency RoCoF is not greater than 1 Hz / s, the maximum deviation of the system frequency is not greater than 0.2 Hz, and the transient steady-state deviation of the system frequency is not greater than 0.1 Hz, the system frequency is considered to be stable; otherwise, the system frequency is considered to be unstable.

[0046] Optionally, in step S4, the step of evaluating whether each wind turbine generator set has a short circuit ratio that is too low and thus oscillates comprises:

[0047] According to the first frequency modulation power curve and the first frequency modulation power curve output by the system frequency response model after the disturbance occurs, the maximum total frequency modulation power ΔP of the wind turbine set in the frequency modulation process using pitch angle load reduction control and overspeed load reduction control is obtained respectively. high_wind_ma and ΔP low_wind_max , thus calculating the maximum output power of each wind turbine during the frequency modulation process, the calculation formula is as follows:

[0048]

[0049]

[0050] In the formula, is the maximum power output by the i-th wind turbine using pitch angle load reduction control during frequency regulation; is the steady-state operating power of the i-th wind turbine using pitch angle load reduction in the wind farm, and n is the total number of wind turbines using pitch angle load reduction control in the wind farm;

[0051] is the maximum power output of the hth wind turbine using overspeed load reduction control during frequency modulation, is the steady-state operating power of the hth wind turbine using overspeed load reduction control in the wind farm, and m is the total number of wind turbines using overspeed load reduction control in the wind farm;

[0052] According to the maximum output power of each wind turbine set during the frequency modulation process, the corresponding short-circuit ratio is calculated respectively. If there is a wind turbine set with a short-circuit ratio less than 1.5, the wind turbine set is regarded as oscillating during the frequency modulation process.

[0053] In a second aspect, the present invention provides a device for evaluating the adaptability of a wind farm to a grid frequency regulation demand, and executing the steps of any method described in the first aspect of the present invention, the device comprises:

[0054] The first evaluation module is used to calculate the short-circuit ratio of each wind turbine generator set according to its operating parameters, so as to evaluate whether each wind turbine generator set can meet the steady-state operation requirements of the system in the absence of disturbance;

[0055] An equivalent aggregation module is used to perform equivalent aggregation on wind turbine power response functions and frequency modulation parameters of wind turbines in a wind farm that adopt pitch angle load reduction control and overspeed load reduction control;

[0056] A second evaluation module is used to establish a system frequency response model taking into account the frequency regulation response of the wind farm according to the result of the equivalent aggregation, and use the system frequency response model to evaluate the system frequency stability when a disturbance occurs;

[0057] The third evaluation module evaluates whether each wind turbine has an oscillation due to a short-circuit ratio that is too low, based on the wind turbine frequency modulation power curve output by the system frequency response model when a disturbance occurs;

[0058] The comprehensive evaluation module is used to integrate the above evaluation data to obtain the adaptability evaluation result of the wind farm to the grid frequency regulation demand.

[0059] In a third aspect, the present invention provides a terminal, including a processor and a storage medium;

[0060] The storage medium is used to store instructions;

[0061] The processor is used to operate according to the instructions to execute the steps of any one of the methods described in the first aspect of the present invention.

[0062] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any one of the methods described in the first aspect of the present invention.

[0063] Compared with the prior art, the present invention has the following beneficial effects:

[0064] 1. In view of the fact that the prior art only considers the response process of the frequency regulation controllers of each unit in the wind farm during the process of establishing the system frequency response model, and ignores the impact of the wind turbine mechanical part controller of the wind turbine on the frequency regulation power; the present invention combines the wind turbine power transfer function to establish a system frequency response model including a first frequency regulation model of the wind turbine using pitch angle load reduction control and a second frequency regulation model of the wind turbine using overspeed load reduction control, so as to improve the accuracy of the system frequency response model, thereby improving the assessment accuracy of the grid frequency regulation demand.

[0065] 2. Due to the large number of wind turbines in the wind farm, if a detailed system frequency response model taking into account each wind turbine is used, it is easy to have problems of high calculation complexity and long calculation time. The present invention aggregates all wind turbines in the wind farm that use pitch angle load reduction into one unit, and aggregates all wind turbines that use overspeed load reduction into one equivalent unit, which is beneficial to reducing the amount of calculation and improving the efficiency of solving the system frequency response model.

[0066] 3. Traditional evaluation methods can only determine whether a wind farm is stable in a weak power grid and whether the system frequency is stable when a disturbance occurs, but do not consider whether the wind turbine is unstable during the frequency modulation of a weak power grid. The present invention, based on traditional evaluation methods, also considers whether the wind turbine is unstable during the frequency modulation of a weak power grid, so that the final evaluation results are more comprehensive, providing an important reference for guiding wind farm manufacturers to optimize and upgrade wind turbines.

[0067] 4. In summary, the present invention can more comprehensively and accurately characterize the frequency adaptability of the wind farm, and can evaluate the small disturbance stability of the wind farm under the weak power grid as well as the frequency stability of the wind farm access system. The evaluation method is simple and easy to implement in engineering, which can effectively support the planning and frequency regulation parameter design of the wind farm, thereby improving the safe operation level of the power grid and the wind power acceptance capacity. At the same time, the evaluation strategy of the present invention has strong versatility, can be applied to electromechanical transient modeling and electromagnetic transient modeling analysis, and is not restricted by the types of wind turbines such as doubly fed and direct drive, and is suitable for popularization and application. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 It is a flow chart of the method for evaluating the adaptability of a wind farm to the grid frequency regulation demand in the present invention;

[0069] Figure 2 It is a schematic diagram of a system frequency response model taking into account the frequency modulation response of a wind farm in the present invention;

[0070] Figure 3 This is an example diagram of a wind farm in the present invention that satisfies both weak grid stability and frequency stability;

[0071] Figure 4 This is an example diagram of a wind farm not meeting the frequency regulation stability requirement in the present invention;

[0072] Figure 5 This is an example diagram of a wind farm not meeting the weak grid stability requirement in the present invention;

[0073] Figure 6 This is a structural principle block diagram of the device for evaluating the adaptability of a wind farm to the grid frequency regulation requirements in the present invention. DETAILED DESCRIPTION

[0074] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The embodiments described in the present invention are only part of the embodiments of the present invention, not all of the embodiments. Based on the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the scope of protection of the present invention.

[0075] Embodiment 1:

[0076] The present invention utilizes the short-circuit ratio calculation method taking into account the output of the wind farm to judge the small disturbance stability of the system, and utilizes the system frequency response model to judge the system frequency stability. The two are combined to propose a method for evaluating the adaptability of wind farms to the frequency regulation needs of the power grid under low short-circuit ratio conditions. This method can effectively support the planning of wind farms and the design of frequency regulation parameters, and improve the safe operation level of the power grid and the wind power acceptance capacity.

[0077] Reference Figure 1 The embodiment of the present invention provides a method for evaluating the adaptability of a wind farm to the frequency regulation demand of a power grid, which specifically includes the following steps:

[0078] Step S1, calculating the short-circuit ratio of each wind turbine generator set according to its operating parameters to evaluate whether each wind turbine generator set can meet the steady-state operation requirements of the system in the absence of disturbance;

[0079] In this embodiment, the calculation formula of the short-circuit ratio taking into account the output of the wind farm is:

[0080]

[0081]

[0082] In the formula, RSCR i is the short-circuit ratio of the i-th wind turbine in the wind farm, and are the active power and reactive power output of the i-th wind turbine in the wind farm in steady state, X i and R i are the inductive impedance and resistance in the transmission line between the i-th wind turbine and the thermal power unit in the wind farm, respectively.

[0083] According to the calculation formula of the short-circuit ratio, if the calculated short-circuit ratio of each wind turbine in the wind farm is not less than 1.5, it is considered to meet the steady-state operation requirements of the system; otherwise, it is considered to be unsatisfactory.

[0084] Step S2, respectively performing equal value aggregation on wind turbine power response functions and frequency modulation parameters of wind turbines of wind turbines using pitch angle load reduction control and overspeed load reduction control in the wind farm;

[0085] Specifically, step S2 includes:

[0086] S2.1. Equivalue aggregation of wind turbine power response functions of wind turbines using pitch angle load reduction control in a wind farm includes the following process:

[0087] (1) According to the wind turbine performance parameters of each wind turbine using pitch angle load reduction control, the corresponding wind turbine power response function is established, and its expression is as follows:

[0088]

[0089] In the formula, represents the wind turbine power response function of the i-th wind turbine using pitch angle load reduction control; and are the rotor inertia time constant and pitch angle delay coefficient of the i-th wind turbine using pitch angle load reduction control; s is the Laplace operator; and are the electromagnetic power constant, speed coefficient and mechanical power constant of the i-th wind turbine using pitch angle load reduction control; is the variable pitch coefficient of the i-th wind turbine using pitch angle load reduction control, and are respectively the proportional coefficient and integral coefficient of the pitch angle PI controller of the i-th wind turbine using pitch angle load reduction control;

[0090] (2) The wind turbine power transfer function of each wind turbine unit in the wind farm using pitch angle load reduction control is Perform equal value aggregation to obtain the aggregate transfer function G(s) high_wind The expression is as follows:

[0091]

[0092] In the formula, is the steady-state operating power of the i-th wind turbine in the wind farm that uses pitch angle load reduction, and n is the total number of wind turbines in the wind farm that use pitch angle load reduction control.

[0093] S2.2. Equi-aggregation of wind turbine power response functions of wind turbines in wind farms using overspeed load reduction control includes the following process:

[0094] (1) According to the wind turbine performance parameters of each wind turbine set using overspeed load reduction control, the corresponding wind turbine power response function is established, and its expression is as follows:

[0095]

[0096] In the formula, represents the wind turbine power response function of the hth wind turbine using overspeed load reduction control; is the rotor inertia time constant of the hth wind turbine set using overspeed load reduction control; is the initial speed of the h-th wind turbine using overspeed load reduction control; s is the Laplace operator in the Laplace change; and are the load reduction factor and mechanical constant of the hth wind turbine using overspeed load reduction control;

[0097] (2) The wind turbine power transfer function of each wind turbine unit in the wind farm using overspeed load reduction control Perform equal value aggregation to obtain the aggregate transfer function G(s) low_wind The expression is as follows:

[0098]

[0099] In the formula, is the steady-state operating power of the hth wind turbine in the wind farm that adopts overspeed load reduction control, and m is the total number of wind turbines in the wind farm that adopt overspeed load reduction control.

[0100] S2.3. The formula for equalizing the frequency modulation parameters of wind turbines using pitch angle load reduction control in a wind farm is as follows:

[0101]

[0102]

[0103] In the formula, K VIC_high_wind and K droop_high_wind They are the aggregated values ​​of virtual inertia and droop coefficient of wind turbines using pitch angle load reduction control; and are the inertia control coefficient and droop coefficient of the i-th wind turbine in the wind farm that adopts pitch angle load reduction control; is the steady-state operating power of the i-th wind turbine in the wind farm that uses pitch angle load reduction, and n is the total number of wind turbines in the wind farm that use pitch angle load reduction control.

[0104] S2.4. The formula for equalizing the frequency regulation parameters of wind turbines that use overspeed load reduction control in a wind farm is as follows:

[0105]

[0106]

[0107] In the formula, K VIC_low_wind and K droop_low_wind They are the aggregated values ​​of virtual inertia and droop coefficient of wind turbines using overspeed load reduction control; and are the inertia control coefficient and droop coefficient of the hth wind turbine in the wind farm that adopts overspeed load reduction control; is the steady-state operating power of the hth wind turbine in the wind farm that adopts overspeed load reduction control, and m is the total number of wind turbines in the wind farm that adopt overspeed load reduction control.

[0108] Step S3, establishing a system frequency response model taking into account the frequency regulation response of the wind farm according to the result of the equivalent aggregation in step S2, and using the system frequency response model to evaluate the system frequency stability when a disturbance occurs;

[0109] Reference Figure 2 As shown, the system frequency response model established in this embodiment includes a primary frequency regulation model of a thermal power unit, a first frequency regulation model of a wind turbine unit using pitch angle load reduction control in a wind farm, a second frequency regulation model of a wind turbine unit using overspeed load reduction control in a wind farm, and an inertia response model of a thermal power unit, and the expressions thereof are as follows:

[0110]

[0111] ΔP W1 (s) = G(s) high_wind (K VIC_high_wind s+K droop_high_wind )

[0112] ΔP W2 (s) = G(s) low_wind (K VIC_low_wind s+K droop_low_wind )

[0113]

[0114] In the formula, ΔP G (s) is the primary frequency modulation power of thermal power units, d is the penetration rate of wind turbines in the system, K M is the mechanical gain coefficient of the thermal power unit, R is the regulation coefficient of the thermal power unit, F H is the work coefficient of the prime mover high pressure steam cylinder, T R is the reheating time constant, s is the Laplace operator; ΔP W1 (s) is the first frequency modulation power of the wind turbine using pitch angle load reduction control, G(s) high_wind , K VIC_high_wind and K droop_high_wind are the wind turbine power aggregation transfer function, virtual inertia aggregation value and droop coefficient aggregation value of the wind turbine using pitch angle load reduction control; ΔP W2 (s) is the second frequency modulation power of the wind turbine using overspeed load reduction control, G(s) low_wind , K VIC_low_wind and K droop_low_windare the wind turbine power aggregation transfer function, virtual inertia aggregation value and droop coefficient aggregation value of the wind turbine using overspeed load reduction control; Δf(s) is the inertia response model of the thermal power unit, ΔP L is the load active power disturbance; H and D are the equivalent inertia time constant and damping time constant of the thermal power unit respectively.

[0115] As an embodiment of the present invention, the step of evaluating the system frequency stability when a disturbance occurs by using the system frequency response model in step S3 includes:

[0116] Set the load active power disturbance value ΔP within the setting range L (In this embodiment, a power disturbance of 0.05 to 0.1 pu is used as a model input) is input into the system frequency response model to obtain the maximum rate of change RoCoF of the system frequency, the maximum deviation of the system frequency and the transient steady-state deviation of the system frequency under the disturbance range;

[0117] If the maximum rate of change of system frequency RoCoF is no greater than 1 Hz / s, the maximum deviation of system frequency is no greater than 0.2 Hz, and the transient steady-state deviation of system frequency is no greater than 0.1 Hz, the system frequency is considered stable; otherwise, the system frequency is considered unstable.

[0118] Step S4, evaluating whether each wind turbine has an oscillation due to a short-circuit ratio that is too low according to the wind turbine frequency modulation power curve output by the system frequency response model when a disturbance occurs;

[0119] S4.1. Using the first frequency modulation power ΔP output in the system frequency response model after the disturbance occurs W1 (s) curve, the maximum total frequency regulation power ΔP of the wind turbine using pitch angle load reduction during frequency regulation is obtained high_wind_max After that, the maximum output power of each wind turbine in the wind farm that uses pitch angle load reduction during frequency regulation can be calculated, and its expression is:

[0120]

[0121] In the formula, is the maximum power output of the i-th wind turbine using pitch angle load reduction during frequency regulation. Substituting it into the calculation formula of the short-circuit ratio, the short-circuit ratio of the i-th wind turbine using pitch angle load reduction during the frequency modulation process can be obtained: Its expression is:

[0122]

[0123]

[0124] S4.2, using the second frequency modulation power ΔP output in the system frequency response model after the disturbance occurs W2 (s) curve obtains the maximum total frequency regulation power ΔP of the wind turbine set in the frequency regulation process using overspeed load reduction low_wind_max After that, the maximum output power expression of the hth wind turbine in the wind farm using pitch angle load reduction during frequency regulation can be calculated as:

[0125]

[0126] In the formula, is the maximum power output of the hth wind turbine using overspeed load reduction during frequency regulation. Substituting it into the calculation formula of short-circuit ratio, we can get the short-circuit ratio of the hth wind turbine using overspeed load reduction during frequency modulation. Its expression is:

[0127]

[0128]

[0129] S4.3. If the short-circuit ratio of each wind turbine set during the frequency modulation process is less than 1.5, the wind turbine set is deemed to oscillate during the frequency modulation process.

[0130] Step S5: synthesize the evaluation data of the above steps to obtain the adaptability evaluation result of the wind farm to the grid frequency regulation demand.

[0131] The method of the present invention can evaluate whether the entire wind farm meets the system frequency stability requirements according to the above five-step evaluation process, and can also determine whether there are wind turbines in the wind farm that oscillate during the frequency modulation process.

[0132] The effectiveness of the method for evaluating the adaptability of a wind farm to the frequency regulation requirements of a power grid provided by the present invention is verified by using a specific experimental example.

[0133] like Figure 3 As shown in FIG. 1 , the simulation experiment results of this embodiment using the equipment performance parameters of a wind farm are shown.

[0134] There are 10 wind turbines using pitch angle load reduction control and 20 wind turbines using overspeed load reduction control in this wind farm. Among them, the wind turbine power transfer functions of the 10 wind turbines using pitch load reduction are aggregated by equal value, and the aggregated transfer function obtained is: The aggregate value of the droop coefficient is K droop_high_wind is 10.29; the virtual inertia aggregation value is K VIC_high_windThe power transfer functions of 20 wind turbines with overspeed load shedding are aggregated and the aggregated transfer function is: Droop coefficient aggregate value K droop_low_wind is 11.56; the virtual inertia aggregation value is K VIC_low_wind It is 10.41.

[0135] like Figure 3 As shown in (a), the wind farm under this set of control parameters meets the system frequency stability index, with a maximum frequency deviation RoCoF of 0.5Hz / s, a maximum frequency deviation of 0.066Hz, and a transient frequency deviation of 0.045Hz. The power change curve obtained using the system frequency response model is shown in Figure 3 As shown in (b), through the calculation of the short-circuit ratio of the wind turbine, it can be seen that the minimum RSCR of the wind turbine in the wind farm is 1.55 during steady-state operation, and the RSCR of the wind turbine in the wind farm during frequency modulation is s The minimum value is 1.52. Therefore, the wind turbines in the wind farm will not become unstable during the frequency regulation process due to the weak strength of the power grid. Figure 3 (c) The electromagnetic transient simulation model was used to verify Figure 3 (b) The correctness of the results obtained. After comprehensive evaluation, it can be seen that the wind farm can be connected to the weak power grid.

[0136] like Figure 4 As shown in FIG. 1 , the simulation experiment results of this embodiment using the equipment performance parameters of another wind farm are performed. In the wind farm, there are 10 wind turbines using pitch angle load reduction control and 20 wind turbines using overspeed load reduction control. Among them, the wind turbine power transfer functions of the 10 wind turbines using pitch load reduction are subjected to equal value aggregation, and the obtained aggregated transfer function is:

[0137] Droop coefficient aggregate value K droop_high_wind is 8.14; the virtual inertia aggregation value is K VIC_high_wind The power transfer functions of 20 wind turbines with overspeed load shedding are aggregated and the aggregated transfer function is: Droop coefficient aggregate value K droop_low_wind is 7.65; the virtual inertia aggregation value is K VIC_low_wind It is 5.1.

[0138] like Figure 4(a) shows the frequency change curve under this set of control parameters. According to the results obtained from the system frequency response model: the maximum system frequency change rate RoCoF is 1.32Hz / s, which is greater than 1Hz / s, the maximum frequency deviation is 0.23Hz, which is greater than 0.2Hz, and the system transient state deviation is 0.12Hz, which is greater than 0.1Hz. Therefore, this set of control parameters does not meet the system frequency stability evaluation index. The power change curve obtained using the system frequency response model is shown in Figure 3 As shown in (b), through the calculation of the short-circuit ratio of the wind turbine, it can be seen that the minimum RSCR of the wind turbine in the wind farm is 1.55 during steady-state operation, and the RSCR of the wind turbine in the wind farm during frequency modulation is s The minimum value is 1.53, so the wind turbines in the wind farm will not become unstable during the frequency regulation process due to the weak strength of the power grid; Figure 4 (c) The electromagnetic transient simulation model was used to verify Figure 4 (b) The correctness of the results. Based on the above comprehensive evaluation results, wind farm manufacturers can further improve the frequency regulation capability of the wind turbines by optimizing the planning and frequency regulation parameters of the wind farm to meet the frequency stability requirements.

[0139] like Figure 5 As shown in FIG. 1 , the simulation experiment results of this embodiment using the equipment performance parameters of another wind farm are performed. In the wind farm, there are 10 wind turbines using pitch angle load reduction control and 20 wind turbines using overspeed load reduction control. Among them, the wind turbine power transfer functions of the 10 wind turbines using pitch load reduction are subjected to equal value aggregation, and the obtained aggregated transfer function is:

[0140] The aggregate value of the droop coefficient is K droop_high_wind is 12.01; the virtual inertia aggregate value is K VIC_high_wind The power transfer functions of 20 wind turbines with overspeed load shedding are aggregated and the aggregated transfer function is:

[0141] Droop coefficient aggregate value K droop_low_wind is 14.11; the virtual inertia aggregate value is K VIC_low_wind It is 9.85.

[0142] like Figure 5 (a) shows the frequency variation curve under this set of control parameters. According to the system frequency response model, the maximum frequency deviation RoCoF is 0.42Hz / s, the maximum frequency deviation is 0.06Hz, and the transient frequency deviation is 0.055Hz. Therefore, this set of parameters meets the system frequency stability evaluation index. The power variation curve obtained by using the system frequency response model is shown in Figure 5As shown in (b), through the calculation of the short-circuit ratio of the wind turbine, it can be seen that the minimum RSCR of the wind turbine in the wind farm is 1.55 during steady-state operation, and the RSCR of the wind turbine in the wind farm during frequency modulation is s The minimum value is 1.47. Therefore, there are wind turbines in this wind farm that become unstable during the frequency regulation process due to the weak strength of the power grid. Figure 5 (c) The electromagnetic transient simulation model was used to verify the Figure 5 (b) The correctness of the conclusions obtained. Based on the above comprehensive evaluation results, wind farm manufacturers can avoid frequency oscillations in weak power grids by installing devices to improve the stability of wind farms in weak power grids.

[0143] The beneficial effects of the present invention are as follows:

[0144] 1. In view of the fact that the prior art only considers the response process of the frequency regulation controllers of each unit in the wind farm during the process of establishing the system frequency response model, and ignores the impact of the wind turbine mechanical part controller of the wind turbine on the frequency regulation power; the present invention combines the wind turbine power transfer function to establish a system frequency response model including a first frequency regulation model of the wind turbine using pitch angle load reduction control and a second frequency regulation model of the wind turbine using overspeed load reduction control, so as to improve the accuracy of the system frequency response model, thereby improving the assessment accuracy of the grid frequency regulation demand.

[0145] 2. Due to the large number of wind turbines in the wind farm, if a detailed system frequency response model taking into account each wind turbine is used, it is easy to have problems of high calculation complexity and long calculation time. The present invention aggregates all wind turbines in the wind farm that use pitch angle load reduction into one unit, and aggregates all wind turbines that use overspeed load reduction into one equivalent unit, which is beneficial to reducing the amount of calculation and improving the efficiency of solving the system frequency response model.

[0146] 3. Traditional evaluation methods can only determine whether a wind farm is stable in a weak power grid and whether the system frequency is stable when a disturbance occurs, but do not consider whether the wind turbine is unstable during the frequency modulation of a weak power grid. The present invention, based on traditional evaluation methods, also considers whether the wind turbine is unstable during the frequency modulation of a weak power grid, so that the final evaluation results are more comprehensive, providing an important reference for guiding wind farm manufacturers to optimize and upgrade wind turbines.

[0147] 4. In summary, the present invention can more comprehensively and accurately characterize the frequency adaptability of the wind farm, and can evaluate the small disturbance stability of the wind farm under the weak power grid as well as the frequency stability of the wind farm access system. The evaluation method is simple and easy to implement in engineering, which can effectively support the planning and frequency regulation parameter design of the wind farm, thereby improving the safe operation level of the power grid and the wind power acceptance capacity. At the same time, the evaluation strategy of the present invention has strong versatility, can be applied to electromechanical transient modeling and electromagnetic transient modeling analysis, and is not restricted by the types of wind turbines such as doubly fed and direct drive, and is suitable for popularization and application.

[0148] Embodiment 2:

[0149] like Figure 6 As shown, the present invention provides a device for evaluating the adaptability of a wind farm to a grid frequency regulation demand, the device is used to implement the steps of the method in the above-mentioned embodiment 1, and the device specifically includes:

[0150] The first evaluation module is used to calculate the short-circuit ratio of each wind turbine generator set according to its operating parameters, so as to evaluate whether each wind turbine generator set can meet the steady-state operation requirements of the system in the absence of disturbance;

[0151] An equivalent aggregation module is used to perform equivalent aggregation on wind turbine power response functions and frequency modulation parameters of wind turbines in a wind farm that adopt pitch angle load reduction control and overspeed load reduction control;

[0152] A second evaluation module is used to establish a system frequency response model taking into account the frequency regulation response of the wind farm according to the result of the equivalent aggregation, and use the system frequency response model to evaluate the system frequency stability when a disturbance occurs;

[0153] The third evaluation module evaluates whether each wind turbine has an oscillation due to a short-circuit ratio that is too low, based on the wind turbine frequency modulation power curve output by the system frequency response model when a disturbance occurs;

[0154] The comprehensive evaluation module is used to integrate the above evaluation data to obtain the adaptability evaluation result of the wind farm to the grid frequency regulation demand.

[0155] The device for evaluating the adaptability of a wind farm to the grid frequency regulation requirements provided in the embodiment of the present invention and the method for evaluating the adaptability of a wind farm to the grid frequency regulation requirements provided in Example 1 are based on the same technical concept, and can produce the beneficial effects described in Example 1. For contents not described in detail in this embodiment, please refer to Example 1.

[0156] Embodiment three:

[0157] A terminal provided by an embodiment of the present invention includes a processor and a storage medium;

[0158] The storage medium is used to store instructions;

[0159] The processor is used to operate according to the instruction to execute the steps of the method according to any one of the first embodiments.

[0160] Embodiment 4:

[0161] An embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the steps of any method described in Embodiment 1 are implemented.

[0162] The present disclosure may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0163] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples of computer-readable storage media (a non-exhaustive list) include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the foregoing. As used herein, a computer-readable storage medium is not to be interpreted as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0164] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0165] The computer program instructions for performing the operation of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. Computer-readable program instructions may be executed completely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or completely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be customized by utilizing the state information of the computer-readable program instructions, and the electronic circuit may execute the computer-readable program instructions, thereby realizing various aspects of the present disclosure.

[0166] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements 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 method for evaluating the adaptability of a wind farm to grid frequency regulation requirements, characterized in that: The method comprises the following steps: S1. Calculate the short-circuit ratio of each wind turbine according to its operating parameters to evaluate whether each wind turbine can meet the steady-state operation requirements of the system without disturbance; S2, respectively performing equal value aggregation on wind turbine power response functions and frequency modulation parameters of wind turbines using pitch angle load reduction control and overspeed load reduction control in the wind farm; S3, establishing a system frequency response model taking into account the frequency regulation response of the wind farm according to the result of the equivalent aggregation in step S2, and using the system frequency response model to evaluate the system frequency stability when a disturbance occurs; S4. According to the wind turbine frequency modulation power curve output by the system frequency response model when a disturbance occurs, assess whether each wind turbine has a short-circuit ratio that is too low and thus causes oscillation; S5. Combining the evaluation data of the above steps, obtain the adaptability evaluation result of the wind farm to the grid frequency regulation demand.

2. The method for evaluating the adaptability of a wind farm to grid frequency regulation requirements according to claim 1, characterized in that: In step S1, the evaluation criteria for evaluating whether each wind turbine can meet the steady-state operation requirements in the absence of disturbances are: If the calculated short-circuit ratio of each wind turbine in the wind farm is not less than 1.5, it is considered that the steady-state operation requirements of the system are met; otherwise, it is considered that they are not met.

3. The method for evaluating the adaptability of a wind farm to grid frequency regulation requirements according to claim 1, characterized in that: In step S2, the step of performing equal value aggregation on the wind turbine power response functions of the wind turbines in the wind farm that adopt pitch angle load reduction control includes: According to the wind turbine performance parameters of each wind turbine set using pitch angle load reduction control, the corresponding wind turbine power response function is established respectively, and its expression is as follows: In the formula, represents the wind turbine power response function of the i-th wind turbine using pitch angle load reduction control; and are the rotor inertia time constant and pitch angle delay coefficient of the i-th wind turbine using pitch angle load reduction control; s is the Laplace operator; and are the electromagnetic power constant, speed coefficient and mechanical power constant of the i-th wind turbine using pitch angle load reduction control; is the variable pitch coefficient of the i-th wind turbine using pitch angle load reduction control, and are respectively the proportional coefficient and integral coefficient of the pitch angle PI controller of the i-th wind turbine using pitch angle load reduction control; The wind turbine power transfer function of each wind turbine set in the wind farm using pitch angle load reduction control is Perform equal value aggregation to obtain the aggregate transfer function G(s) high_wind The expression is as follows: In the formula, is the steady-state operating power of the i-th wind turbine in the wind farm that uses pitch angle load reduction, and n is the total number of wind turbines in the wind farm that use pitch angle load reduction control.

4. The method for evaluating the adaptability of a wind farm to grid frequency regulation requirements according to claim 1, characterized in that: In step S2, the step of performing equal value aggregation on the wind turbine power response functions of the wind turbines in the wind farm that adopt overspeed load reduction control includes: According to the wind turbine performance parameters of each wind turbine set using overspeed load reduction control, the corresponding wind turbine power response function is established respectively, and its expression is as follows: In the formula, represents the wind turbine power response function of the hth wind turbine using overspeed load reduction control; is the rotor inertia time constant of the hth wind turbine set using overspeed load reduction control; is the initial speed of the h-th wind turbine using overspeed load reduction control; s is the Laplace operator; and are the load reduction factor and mechanical constant of the hth wind turbine using overspeed load reduction control; The wind turbine power transfer function of each wind turbine unit in the wind farm using overspeed load reduction control is Perform equal value aggregation to obtain the aggregate transfer function G(s) low_wind The expression is as follows: In the formula, is the steady-state operating power of the hth wind turbine in the wind farm that adopts overspeed load reduction control, and m is the total number of wind turbines in the wind farm that adopt overspeed load reduction control.

5. The method for evaluating the adaptability of a wind farm to grid frequency regulation requirements according to claim 1, characterized in that: In step S2, the formula for performing equal value aggregation on the frequency modulation parameters of the wind turbines using pitch angle load reduction control in the wind farm is as follows: In the formula, K VIC_high_wind and K droop_high_wind They are the aggregated values ​​of virtual inertia and droop coefficient of wind turbines using pitch angle load reduction control; and are the inertia control coefficient and droop coefficient of the i-th wind turbine in the wind farm that adopts pitch angle load reduction control; is the steady-state operating power of the i-th wind turbine in the wind farm that uses pitch angle load reduction, and n is the total number of wind turbines in the wind farm that use pitch angle load reduction control.

6. The method for evaluating the adaptability of a wind farm to grid frequency regulation requirements according to claim 1, characterized in that: In step S2, the formula for equalizing the frequency modulation parameters of the wind turbines that adopt overspeed load reduction control in the wind farm is as follows: In the formula, K VIC_low_wind and K droop_low_wind They are the aggregated values ​​of virtual inertia and droop coefficient of wind turbines using overspeed load reduction control; and are the inertia control coefficient and droop coefficient of the hth wind turbine in the wind farm that adopts overspeed load reduction control; is the steady-state operating power of the hth wind turbine in the wind farm that adopts overspeed load reduction control, and m is the total number of wind turbines in the wind farm that adopt overspeed load reduction control.

7. The method for evaluating the adaptability of a wind farm to grid frequency regulation requirements according to claim 1, characterized in that: In step S3, the established system frequency response model includes a primary frequency regulation model of a thermal power unit, a first frequency regulation model of a wind turbine unit using pitch angle load reduction control in a wind farm, a second frequency regulation model of a wind turbine unit using overspeed load reduction control in a wind farm, and an inertia response model of a thermal power unit, and the expressions thereof are as follows: ΔP W1 (s)=G(s) high_wind (K VIC_high_wind s+K droop_high_wind ) ΔP W2 (s)=G(s) low_wind (K VIC_low_wind s+K droop_low_wind ) In the formula, ΔP G (s) is the primary frequency modulation power of thermal power units, d is the penetration rate of wind turbines in the system, K M is the mechanical gain coefficient of the thermal power unit, R is the regulation coefficient of the thermal power unit, F H is the work coefficient of the prime mover high pressure steam cylinder, T R is the reheating time constant, s is the Laplace operator; ΔP W1 (s) is the first frequency modulation power of the wind turbine using pitch angle load reduction control, G(s) high_wind , K VIC_high_wind and K droop_high_wind are the wind turbine power aggregation transfer function, virtual inertia aggregation value and droop coefficient aggregation value of the wind turbine using pitch angle load reduction control; ΔP W2 (s) is the second frequency modulation power of the wind turbine using overspeed load reduction control, G(s) low_wind , K VIC_low_wind and K droop_low_wind They are the wind turbine power aggregate transfer function, virtual inertia aggregate value and droop coefficient aggregate value of the wind turbine using overspeed load reduction control; Δf(s) is the inertia response model of the thermal power unit, ΔP L is the load active power disturbance; H and D are the equivalent inertia time constant and damping time constant of the thermal power unit respectively.

8. The method for evaluating the adaptability of a wind farm to grid frequency regulation requirements according to claim 6, characterized in that: In step S3, the step of using the system frequency response model to evaluate the system frequency stability when a disturbance occurs includes: Set the load active power disturbance value ΔP within the setting range L Input into the system frequency response model to obtain the system frequency maximum change rate RoCoF, the system frequency maximum deviation and the system frequency transient steady-state deviation under the disturbance range; If the maximum rate of change of the system frequency RoCoF is not greater than 1 Hz / s, the maximum deviation of the system frequency is not greater than 0.2 Hz, and the transient steady-state deviation of the system frequency is not greater than 0.1 Hz, the system frequency is considered to be stable; otherwise, the system frequency is considered to be unstable.

9. The method for evaluating the adaptability of a wind farm to grid frequency regulation requirements according to claim 6, characterized in that: In step S4, the step of evaluating whether each wind turbine generator set has a short circuit ratio that is too low and thus causes oscillation includes: According to the first frequency modulation power curve and the first frequency modulation power curve output by the system frequency response model after the disturbance occurs, the maximum total frequency modulation power ΔP of the wind turbine set in the frequency modulation process using pitch angle load reduction control and overspeed load reduction control is obtained respectively. high_wind_ma and ΔP low_wind_max , thus calculating the maximum output power of each wind turbine during the frequency modulation process, the calculation formula is as follows: In the formula, is the maximum power output by the i-th wind turbine using pitch angle load reduction control during frequency regulation; is the steady-state operating power of the i-th wind turbine using pitch angle load reduction in the wind farm, and n is the total number of wind turbines using pitch angle load reduction control in the wind farm; is the maximum power output of the hth wind turbine using overspeed load reduction control during frequency modulation, is the steady-state operating power of the hth wind turbine using overspeed load reduction control in the wind farm, and m is the total number of wind turbines using overspeed load reduction control in the wind farm; According to the maximum output power of each wind turbine set during the frequency modulation process, the corresponding short-circuit ratio is calculated respectively. If there is a wind turbine set with a short-circuit ratio less than 1.5, the wind turbine set is regarded as oscillating during the frequency modulation process.

10. A device for evaluating the adaptability of a wind farm to a grid frequency regulation demand, running the method for evaluating the adaptability of a wind farm to a grid frequency regulation demand as claimed in any one of claims 1 to 9, characterized in that: The device includes: The first evaluation module is used to calculate the short-circuit ratio of each wind turbine generator set according to its operating parameters, so as to evaluate whether each wind turbine generator set can meet the steady-state operation requirements of the system in the absence of disturbance; An equivalent aggregation module is used to perform equivalent aggregation on wind turbine power response functions and frequency modulation parameters of wind turbines in a wind farm that adopt pitch angle load reduction control and overspeed load reduction control; A second evaluation module is used to establish a system frequency response model taking into account the frequency regulation response of the wind farm according to the result of the equivalent aggregation, and use the system frequency response model to evaluate the system frequency stability when a disturbance occurs; The third evaluation module evaluates whether each wind turbine has an oscillation due to a short-circuit ratio that is too low, based on the wind turbine frequency modulation power curve output by the system frequency response model when a disturbance occurs; The comprehensive evaluation module is used to integrate the above evaluation data to obtain the adaptability evaluation result of the wind farm to the grid frequency regulation demand.

11. A terminal comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the steps of the method according to any one of claims 1-9.

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

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