A method and device for optimizing parameters of additional reactive damping controller for wind turbine

Abstract

The present invention discloses a method and device for optimizing the parameters of an additional reactive damping controller for a wind turbine. The method comprises: for two-region interconnected power systems to which wind turbines are connected, establishing a dynamic model of the two-region interconnected power systems, and establishing a linearized model of the wind turbine based on the additional reactive damping control strategy of the wind turbine; using a damping torque analysis method, combining the dynamic model of the two-region interconnected power systems and the linearized model of the wind turbine, to obtain the damping torque coefficient of the two-region interconnected power systems; based on a predefined controller parameter optimization strategy, adjusting the parameters of the additional reactive damping controller for the wind turbine to the optimal parameters according to the damping torque coefficient of the two-region interconnected power systems. The present invention can optimize the parameters of the additional reactive damping controller for the wind turbine, and further enhance the damping of the power system.

Description

Technical Field

[0001] The invention relates to the technical field of power system stability control, and in particular to a method and a device for optimizing parameters of a wind turbine additional reactive damping controller. Background Art

[0002] In recent years, with the continuous growth of wind turbine grid-connected capacity, the dynamic characteristics of the power system have changed significantly, the damping capacity of the power system to low-frequency oscillations has weakened, and the research on wind turbine additional damping control to suppress low-frequency oscillations has attracted widespread attention from scholars at home and abroad. Among them, the additional reactive damping control strategy based on droop control can not only effectively enhance the damping of the power system, but also has the advantages of easy parameter setting and easy engineering implementation. However, the mechanism of action of wind turbine additional reactive damping control on low-frequency oscillations of the power system is still unclear, and the interaction characteristics between the wind turbine additional reactive damping controller and the synchronous generator need further study, which makes it difficult to reasonably optimize the parameters of the wind turbine additional reactive damping controller and further enhance the damping of the power system. Summary of the invention

[0003] In order to overcome the defects of the prior art, the present invention provides a method and device for optimizing the parameters of a wind turbine additional reactive damping controller, which can optimize the parameters of the wind turbine additional reactive damping controller and further enhance the damping of the power system.

[0004] In order to solve the above technical problems, in a first aspect, an embodiment of the present invention provides a method for optimizing parameters of a wind turbine additional reactive damping controller, comprising:

[0005] For the two-region interconnected power system to which the wind turbine is connected, a dynamic model of the two-region interconnected power system is established, and based on the additional reactive damping control strategy of the wind turbine, a linearized model of the wind turbine is established;

[0006] Using a damping torque analysis method, combining a dynamic model of the two-region interconnected power system and a linearized model of the wind turbine, a damping torque coefficient of the two-region interconnected power system is obtained;

[0007] Based on a predefined controller parameter optimization strategy, the parameters of the wind turbine additional reactive damping controller are adjusted to optimal parameters according to the damping torque coefficient of the two-region interconnected power system.

[0008] Furthermore, the dynamic model of the two-region interconnected power system is:

[0009]

[0010] Among them, T J1 , T J2 The two regional generators SG 1 SG2 The equivalent inertia time constant, the prefix D indicates the change of the parameter, w 12 For two area generators SG 1 SG 2 The difference in rotor angular velocity, t is time, V 1(0) For generator SG 1 The initial voltage of the node, V 2 For generator SG 2 The voltage at the node, d 12(0) For two area generators SG 1 SG 2 The difference in the initial rotor position angle, d 12 For two area generators SG 1 SG 2 The difference in rotor position angle, Q 12 For generator SG 1 Area and generator SG 2 The exchange reactive power of the area, X is the tie line reactance,

[0011] Furthermore, the linearized model of the fan is:

[0012]

[0013] The prefix D indicates the change in the parameter, Q w Reactive power injected into the wind farm, T a is the time constant of the reactive power response of the converter outer loop, s is the Laplace operator, K Q is the droop coefficient of the wind turbine additional reactive damping controller, w 12 For two area generators SG 1 SG 2 The difference in the rotor angular velocity.

[0014] Furthermore, the damping torque analysis method is used to combine the dynamic model of the two-region interconnected power system and the linearized model of the wind turbine to obtain the damping torque coefficient of the two-region interconnected power system, which is specifically:

[0015] The damping torque analysis method is adopted to solve the dynamic model of the two-region interconnected power system and the linearized model of the wind turbine according to the electrical parameters of the two-region interconnected power system, so as to obtain the damping torque coefficient of the two-region interconnected power system.

[0016] Furthermore, based on the predefined controller parameter optimization strategy, the parameters of the wind turbine additional reactive damping controller are adjusted to the optimal parameters according to the damping torque coefficient of the two-region interconnected power system, specifically:

[0017] When the damping torque coefficient of the two-region interconnected power system is greater than 0, the controller parameters corresponding to the damping torque coefficient of the two-region interconnected power system are extracted from the mapping table as the optimal parameters, and the parameters of the wind turbine additional reactive damping controller are adjusted to the optimal parameters; wherein the controller parameter optimization strategy includes the mapping table.

[0018] In a second aspect, an embodiment of the present invention provides a parameter optimization device for a wind turbine additional reactive damping controller, comprising:

[0019] A model building module, for building a dynamic model of the two-region interconnected power system to which the wind turbine is connected, and building a linearized model of the wind turbine based on an additional reactive damping control strategy of the wind turbine;

[0020] A coefficient acquisition module, used for obtaining a damping torque coefficient of the two-region interconnected power system by combining a dynamic model of the two-region interconnected power system and a linearized model of the wind turbine using a damping torque analysis method;

[0021] The parameter optimization module is used to adjust the parameters of the wind turbine additional reactive damping controller to optimal parameters based on a predefined controller parameter optimization strategy and according to the damping torque coefficient of the two-region interconnected power system.

[0022] Furthermore, the dynamic model of the two-region interconnected power system is:

[0023]

[0024] Among them, T J1 , T J2 The two regional generators SG 1 SG 2 The equivalent inertia time constant, the prefix D indicates the change of the parameter, w 12 For two area generators SG 1 SG 2 The difference in rotor angular velocity, t is time, V 1(0) For generator SG 1 The initial voltage of the node, V 2 For generator SG 2 The voltage at the node, d 12(0) For two area generators SG 1 SG 2 The difference in the initial rotor position angle, d 12 For two area generators SG 1 SG 2 The difference in rotor position angle, Q 12 For generator SG 1Area and generator SG 2 The exchange reactive power of the area, X is the tie line reactance,

[0025] Furthermore, the linearized model of the fan is:

[0026]

[0027] The prefix D indicates the change in the parameter, Q w Reactive power injected into the wind farm, T a is the time constant of the reactive power response of the converter outer loop, s is the Laplace operator, K Q is the droop coefficient of the wind turbine additional reactive damping controller, w 12 For two area generators SG 1 SG 2 The difference in the rotor angular velocity.

[0028] Furthermore, the coefficient acquisition module is specifically used to adopt a damping torque analysis method to solve the dynamic model of the two-region interconnected power system and the linearized model of the wind turbine according to the electrical parameters of the two-region interconnected power system, so as to obtain the damping torque coefficient of the two-region interconnected power system.

[0029] Furthermore, the parameter optimization module is specifically used to extract the controller parameters corresponding to the damping torque coefficient of the two-region interconnected power system from the mapping table as the optimal parameters when the damping torque coefficient of the two-region interconnected power system is greater than 0, and adjust the parameters of the wind turbine additional reactive damping controller to the optimal parameters; wherein the controller parameter optimization strategy includes the mapping table.

[0030] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0031] A dynamic model of the two-region interconnected power system to which wind turbines are connected is established, and a linearized model of the wind turbine is established based on the additional reactive damping control strategy of the wind turbine. The damping torque analysis method is used to combine the dynamic model of the two-region interconnected power system and the linearized model of the wind turbine to obtain the damping torque coefficient of the two-region interconnected power system. Based on a predefined controller parameter optimization strategy, the parameters of the wind turbine additional reactive damping controller are adjusted to the optimal parameters according to the damping torque coefficient of the two-region interconnected power system, which can optimize the parameters of the wind turbine additional reactive damping controller and further enhance the damping of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1It is a flow chart of a method for optimizing parameters of a wind turbine additional reactive damping controller in the first embodiment of the present invention;

[0033] Figure 2 A schematic diagram of a wind turbine connected to a two-region interconnected power system according to a first embodiment of the present invention;

[0034] Figure 3 is a root locus diagram of the variation of the droop coefficient according to an example in the first embodiment of the present invention;

[0035] Figure 4 It is a schematic diagram of the dynamic process of the interconnected power system between two regions under different droop coefficients;

[0036] Figure 5 It is a structural schematic diagram of a parameter optimization device for a wind turbine additional reactive damping controller in the second embodiment of the present invention. DETAILED DESCRIPTION

[0037] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] It should be noted that the step numbers in the text are only for the convenience of explaining the specific embodiment and do not limit the order of execution of the steps. The method provided in this embodiment can be executed by a related terminal device, and the following description is taken as an example of a processor as the execution subject.

[0039] like Figure 1 As shown, the first embodiment provides a method for optimizing parameters of a wind turbine additional reactive damping controller, comprising steps S1 to S3:

[0040] S1. For the two-region interconnected power system to which the wind turbine is connected, a dynamic model of the two-region interconnected power system is established, and a linearized model of the wind turbine is established based on the additional reactive damping control strategy of the wind turbine;

[0041] S2. Using the damping torque analysis method, combined with the dynamic model of the two-region interconnected power system and the linearized model of the wind turbine, the damping torque coefficient of the two-region interconnected power system is obtained;

[0042] S3. Based on a predefined controller parameter optimization strategy, the parameters of the wind turbine additional reactive damping controller are adjusted to optimal parameters according to the damping torque coefficient of the two-region interconnected power system.

[0043] As an example, in step S1, for the two-region interconnected power system to which the wind turbine is connected, a dynamic model of the two-region interconnected power system is established, and a linearized model of the wind turbine is established based on an additional reactive damping control strategy of the wind turbine.

[0044] Among them, the additional reactive damping control strategy of the wind turbine is an additional reactive damping control strategy based on droop control.

[0045] In order to improve the efficiency of subsequent processing, after obtaining the dynamic model of the two-region interconnected power system and the linearized model of the wind turbine, the dynamic model of the two-region interconnected power system and the linearized model of the wind turbine can be simplified respectively.

[0046] In step S2, a damping torque analysis method is used to analyze and derive the damping torque coefficient of the two-region interconnected power system in combination with the dynamic model of the two-region interconnected power system and the linearized model of the wind turbine.

[0047] In step S3, a controller parameter optimization strategy is predefined, including setting a judgment rule for judging the damping capacity of the two-region interconnected power system according to the damping torque coefficient of the two-region interconnected power system, a trigger condition for optimizing the controller parameters only when it is determined that the damping of the two-region interconnected power system is insufficient, a mapping table of optimal parameters of the wind turbine additional reactive damping controller under different working conditions, etc. Based on the predefined controller parameter optimization strategy, the parameters of the wind turbine additional reactive damping controller are adjusted to the optimal parameters according to the damping torque coefficient of the two-region interconnected power system, so that the wind turbine additional reactive damping controller provides damping to the two-region interconnected power system according to the optimal parameters.

[0048] This embodiment can optimize the parameters of the wind turbine additional reactive damping controller to further enhance the damping of the power system.

[0049] In a preferred embodiment, the dynamic model of the two-region interconnected power system is:

[0050]

[0051] Among them, T J1 , T J2 The two regional generators SG 1 SG 2 The equivalent inertia time constant, the prefix D indicates the change of the parameter, w 12 For two area generators SG 1 SG 2 The difference in rotor angular velocity, t is time, V 1(0) For generator SG 1 The initial voltage of the node, V 2 For generator SG 2 The voltage at the node, d12(0) For two area generators SG 1 SG 2 The difference in the initial rotor position angle, d 12 For two area generators SG 1 SG 2 The difference in rotor position angle, Q 12 For generator SG 1 Area and generator SG 2 The exchange reactive power of the area, X is the tie line reactance,

[0052] As an example, the schematic diagram of wind turbines connected to the two-region interconnected power system is as follows: Figure 2 As shown, in Figure 2 In the above, WF represents wind farm, P w , Q w They represent the active power and reactive power injected by the wind farm, SG 1 SG 2 Represent the two regional generators, V 1 Indicates generator SG 1 The voltage at the node, V 2 Indicates generator SG 2 The voltage at the node, δ 1 Indicates generator SG 1 The voltage phase angle at the node, δ 2 Indicates generator SG 2 The voltage phase angle at the node, P 1 , P 2 Represents two regional generators SG 1 SG 2 Output electromagnetic power, Q 1 , Q 2 Respectively represent the reactive power output of the two regions, P L1 , P L2 They represent the local loads of the two regions respectively, and X represents the reactance of the interconnection line.

[0053] For the two-region interconnected power system with wind turbines connected, the rotor motion equations of the generators in the two regions are:

[0054]

[0055] In formula (2), T J1 , T J2 The two regional generators SG 1 SG 2 The equivalent inertia time constant, w r1 、w r2 The two regional generators SG 1 SG2 The rotor angular velocity, t is the time, P M1 , P M2 The two regional generators SG 1 SG 2 Input mechanical power; P 1 , P 2 The two regional generators SG 1 SG 2 Output electromagnetic power, P w Active power injected into the wind farm, P L1 , P L2 are the local loads of the two regions, d 1 d 2 The two regional generators SG 1 SG 2 The rotor position angle, w s is the synchronous electrical angular velocity.

[0056] The active power and reactive power balance equation is:

[0057]

[0058] In formula (3), P 1 , P 2 The two regional generators SG 1 SG 2 Output electromagnetic power, Q 1 , Q 2 Respectively represent the reactive power output of the two regions, V 1 For generator SG 1 The voltage at the node, V 2 For generator SG 2 The voltage at the node, X is the tie line reactance, d 1 d 2 The two regional generators SG 1 SG 2 The rotor position angle, d 12 For two area generators SG 1 SG 2 The difference in rotor position angle, Q w The reactive power injected into the wind farm, Q so It is the reactive power generated by the reactive compensation capacitor.

[0059] Linearize equation (2) near the equilibrium point and get:

[0060]

[0061] In formula (4), T J1 , T J2The two regional generators SG 1 SG 2 The equivalent inertia time constant, the prefix D indicates the change of the parameter, w 12 For two area generators SG 1 SG 2 The difference in rotor angular velocity, t is time, V 1(0) For generator SG 1 The initial voltage of the node, V 1 For generator SG 1 The voltage at the node, V 2 For generator SG 2 The voltage at the node, d 12(0) For two area generators SG 1 SG 2 The difference in the initial rotor position angle, d 12 For two area generators SG 1 SG 2 The rotor position angle difference, X is the tie line reactance, w s is the synchronous electrical angular velocity.

[0062] Write equation (3) in small interference form:

[0063]

[0064] In formula (5), the prefix D represents the change of the parameter, Q 12 For generator SG 1 Area and generator SG 2 The exchange reactive power of the area, V 1(0) For generator SG 1 The initial voltage of the node, V 1 For generator SG 1 The voltage at the node, V 2 For generator SG 2 The voltage at the node, d 12(0) For two area generators SG 1 SG 2 The difference in the initial rotor position angle, d 12 For two area generators SG 1 SG 2 The difference in rotor position angles is X, and X is the interconnecting line reactance.

[0065] Combining equations (4) and (5), a dynamic model of the two-region interconnected power system is established. The dynamic model of the two-region interconnected power system is:

[0066]

[0067] In formula (1), TJ1 , T J2 The two regional generators SG 1 SG 2 The equivalent inertia time constant, the prefix D indicates the change of the parameter, w 12 For two area generators SG 1 SG 2 The difference in rotor angular velocity, t is time, V 1(0) For generator SG 1 The initial voltage of the node, V 2 For generator SG 2 The voltage at the node, d 12 ( 0 ) For two area generators SG 1 SG 2 The difference in the initial rotor position angle, d 12 For two area generators SG 1 SG 2 The difference in rotor position angle, Q 12 For generator SG 1 Area and generator SG 2 The exchange reactive power of the area, X is the tie line reactance,

[0068] When the wind turbine power input is 0, Laplace transform is performed on equation (4) to obtain:

[0069]

[0070] According to formula (6), the undamped natural oscillation frequency of the system is obtained as:

[0071]

[0072] In formula (7), w n is the undamped natural oscillation frequency of the system, T J1 , T J2 The two regional generators SG 1 SG 2 The equivalent inertia time constant, V 1 ( 0 ) is the generator SG 1 The initial voltage of the node, V 2 For generator SG 2 The voltage at the node, w s is the synchronous electrical angular velocity.

[0073] In a preferred embodiment, the linearized model of the fan is:

[0074]

[0075] The prefix D indicates the change in the parameter, Q w is the injected reactive power of the wind farm, T a is the time constant of the reactive power response of the converter outer loop, s is the Laplace operator, K Q is the droop coefficient of the wind turbine additional reactive damping controller, w 12 For two area generators SG 1 SG 2 The difference in the rotor angular velocity.

[0076] As an example, the reactive power control of the converter is represented by a first-order inertia link as:

[0077]

[0078] In formula (9), the prefix D represents the change of the parameter, Q w is the converter reactive power, is the reference value of the converter reactive power, T a is the time constant of the reactive power response of the converter outer loop, and s is the Laplace operator.

[0079] The control equation of additional reactive power damping of the fan is:

[0080]

[0081] In formula (10), the prefix D represents the change of the parameter. is the reference value of the converter reactive power, Q wn is the initial reference value of reactive power, Q ad is the additional reactive power value for damping control, K Q is the droop coefficient of the wind turbine additional reactive damping controller, w 12 For two area generators SG 1 SG 2 The difference in the rotor angular velocity.

[0082] According to formula (10), the small disturbance stability model of fan droop control is established:

[0083]

[0084] In formula (11), the prefix D represents the change of the parameter. is the reference value of the converter reactive power, K Q is the droop coefficient of the wind turbine additional reactive damping controller, w 12 For two area generators SG 1 SG 2 The difference in the rotor angular velocity.

[0085] Combining equations (9) and (11), we can get the simplified linear model of fan control, that is, the linearized model of the fan is:

[0086]

[0087] In formula (8), the prefix D represents the change of the parameter, Q w Reactive power injected into the wind farm, T a is the time constant of the reactive power response of the converter outer loop, s is the Laplace operator, K Q is the droop coefficient of the wind turbine additional reactive damping controller, w 12 For two area generators SG 1 SG 2 The difference in the rotor angular velocity.

[0088] In a preferred embodiment, the damping torque analysis method is used, combined with the dynamic model of the two-region interconnected power system and the linearized model of the wind turbine, to obtain the damping torque coefficient of the two-region interconnected power system. Specifically, the damping torque analysis method is used to solve the dynamic model of the two-region interconnected power system and the linearized model of the wind turbine according to the electrical parameters of the two-region interconnected power system to obtain the damping torque coefficient of the two-region interconnected power system.

[0089] As an example, the damping torque analysis method is used to solve the dynamic model of the two-region interconnected power system and the linearized model of the wind turbine according to the electrical parameters of the two-region interconnected power system, and the damping torque coefficient of the two-region interconnected power system is obtained. The specific solution process is as follows:

[0090] Combining equations (5) and (8), we can get DV 1 The expression is:

[0091]

[0092] Substituting equation (12) into equation (4), the dynamic equation of the two-region interconnected power system is obtained as follows:

[0093]

[0094] The undamped natural oscillation frequency s = jω is obtained by using equation (6) n Substituting into equation (13) we get the system expression:

[0095]

[0096] In formula (14), the synchronous torque coefficient K S , damping torque coefficient K D and the equivalent inertia time constant T J for:

[0097]

[0098] In formula (15), w n is the undamped natural oscillation frequency of the system.

[0099] In a preferred embodiment, the controller parameter optimization strategy based on a predefined controller parameter optimization strategy adjusts the parameters of the wind turbine additional reactive damping controller to the optimal parameters according to the damping torque coefficient of the two-region interconnected power system. Specifically, when the damping torque coefficient of the two-region interconnected power system is greater than 0, the controller parameters corresponding to the damping torque coefficient of the two-region interconnected power system are extracted from a mapping table as the optimal parameters, and the parameters of the wind turbine additional reactive damping controller are adjusted to the optimal parameters; wherein the controller parameter optimization strategy includes a mapping table.

[0100] As an example, when the damping torque coefficient of the two-region interconnected power system is less than 0, the wind turbine additional reactive damping controller provides negative damping for the two-region interconnected power system. At this time, it is considered that the damping of the two-region interconnected power system is not insufficient, and there is no need to optimize the parameters of the wind turbine additional reactive damping controller; when the damping torque coefficient of the two-region interconnected power system is greater than 0, the wind turbine additional reactive damping controller provides positive damping for the two-region interconnected power system. At this time, it is considered that the damping of the two-region interconnected power system is insufficient. The controller parameters corresponding to the damping torque coefficient of the two-region interconnected power system should be extracted from the mapping table as the optimal parameters, and the parameters of the wind turbine additional reactive damping controller should be adjusted to the optimal parameters. For example, refer to Figure 3 The root locus diagram of the droop coefficient variation is shown in Figure 4 The dynamic process of the two-region interconnected power system under different droop coefficients shown in the figure can appropriately increase the droop coefficient and change the system operating point to improve the damping level of the two-region interconnected power system and enhance the ability of the two-region interconnected power system to suppress low-frequency oscillations, thereby ensuring the stable operation of the two-region interconnected power system.

[0101] Based on the same inventive concept as the first embodiment, the second embodiment provides Figure 5 A parameter optimization device for an additional reactive damping controller for a wind turbine is shown, comprising: a model establishment module 21, for establishing a dynamic model of the two-region interconnected power system for the two-region interconnected power system to which the wind turbine is connected, and establishing a linearized model of the wind turbine based on the additional reactive damping control strategy of the wind turbine; a coefficient acquisition module 22, for obtaining the damping torque coefficient of the two-region interconnected power system by adopting a damping torque analysis method, combining the dynamic model of the two-region interconnected power system and the linearized model of the wind turbine; a parameter optimization module 23, for adjusting the parameters of the additional reactive damping controller for the wind turbine to the optimal parameters according to the damping torque coefficient of the two-region interconnected power system based on a predefined controller parameter optimization strategy.

[0102] In a preferred embodiment, the dynamic model of the two-region interconnected power system is:

[0103]

[0104] Among them, T J1 , T J2 The two regional generators SG 1 SG 2 The equivalent inertia time constant, the prefix D indicates the change of the parameter, w 12 For two area generators SG 1 SG 2 The difference in rotor angular velocity, t is time, V 1(0) For generator SG 1 The initial voltage of the node, V 2 For generator SG 2 The voltage at the node, d 12(0) For two area generators SG 1 SG 2 The difference in the initial rotor position angle, d 12 For two area generators SG 1 SG 2 The difference in rotor position angle, Q 12 For generator SG 1 Area and generator SG 2 The exchange reactive power of the area, X is the tie line reactance,

[0105] In a preferred embodiment, the linearized model of the fan is:

[0106]

[0107] The prefix D indicates the change in the parameter, Q w is the injected reactive power of the wind farm, T a is the time constant of the reactive power response of the converter outer loop, s is the Laplace operator, K Q is the droop coefficient of the wind turbine additional reactive damping controller, w 12 For two area generators SG 1 SG 2 The difference in the rotor angular velocity.

[0108] In a preferred embodiment, the coefficient acquisition module 22 is specifically used to adopt a damping torque analysis method to solve the dynamic model of the two-region interconnected power system and the linearized model of the wind turbine according to the electrical parameters of the two-region interconnected power system, and obtain the damping torque coefficient of the two-region interconnected power system.

[0109] In a preferred embodiment, the parameter optimization module 23 is specifically used to extract the controller parameters corresponding to the damping torque coefficient of the two-region interconnected power system from the mapping table as the optimal parameters when the damping torque coefficient of the two-region interconnected power system is greater than 0, and adjust the parameters of the wind turbine additional reactive damping controller to the optimal parameters; wherein the controller parameter optimization strategy includes a mapping table.

[0110] In summary, the implementation of the embodiments of the present invention has the following beneficial effects:

[0111] A dynamic model of the two-region interconnected power system to which wind turbines are connected is established, and a linearized model of the wind turbine is established based on the additional reactive damping control strategy of the wind turbine. The damping torque analysis method is used to combine the dynamic model of the two-region interconnected power system and the linearized model of the wind turbine to obtain the damping torque coefficient of the two-region interconnected power system. Based on a predefined controller parameter optimization strategy, the parameters of the wind turbine additional reactive damping controller are adjusted to the optimal parameters according to the damping torque coefficient of the two-region interconnected power system, which can optimize the parameters of the wind turbine additional reactive damping controller and further enhance the damping of the power system.

[0112] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

[0113] Those skilled in the art can understand that all or part of the processes in the above embodiments can be implemented by instructing related hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes in the above embodiments. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

Claims

1. A method for optimizing parameters of wind turbine additional reactive damping controller. It is characterized in that include: For the two-region interconnected power system to which the wind turbine is connected, a dynamic model of the two-region interconnected power system is established, and based on the additional reactive damping control strategy of the wind turbine, a linearized model of the wind turbine is established; Using a damping torque analysis method, combining a dynamic model of the two-region interconnected power system and a linearized model of the wind turbine, a damping torque coefficient of the two-region interconnected power system is obtained; Based on a predefined controller parameter optimization strategy, the parameters of the wind turbine additional reactive damping controller are adjusted to optimal parameters according to the damping torque coefficient of the two-region interconnected power system; Among them, the dynamic model of the two-region interconnected power system is: ； in, , Two regional generators , The equivalent inertia time constant, the prefix D indicates the change of the parameter, For two-region generator , The difference in the rotor angular velocity, t is the time, For generator The initial voltage at the node, For generator The voltage at the node, For two-region generator , The difference in the initial rotor position angle is For two-region generator , The difference in rotor position angles is For generator Area and generator The exchange reactive power of the area, X is the tie line reactance, ; Wherein, the linearized model of the fan is: ； The prefix D indicates the change in the parameter. The reactive power injected into the wind farm, is the time constant of the reactive power response of the converter outer loop, is the Laplace operator, is the droop coefficient of the additional reactive damping controller of the fan, For two-region generator , The difference in the rotor angular velocity.

2. The method for optimizing parameters of a wind turbine additional reactive damping controller according to claim 1, It is characterized in that The damping torque analysis method is adopted to combine the dynamic model of the two-region interconnected power system and the linearized model of the wind turbine to obtain the damping torque coefficient of the two-region interconnected power system, which is specifically: The damping torque analysis method is adopted to solve the dynamic model of the two-region interconnected power system and the linearized model of the wind turbine according to the electrical parameters of the two-region interconnected power system, so as to obtain the damping torque coefficient of the two-region interconnected power system.

3. The method for optimizing parameters of a wind turbine additional reactive damping controller according to claim 1, It is characterized in that The controller parameter optimization strategy based on the predefined controller parameter optimization strategy is used to adjust the parameters of the wind turbine additional reactive damping controller to the optimal parameters according to the damping torque coefficient of the two-region interconnected power system, specifically: When the damping torque coefficient of the two-region interconnected power system is greater than 0, the controller parameters corresponding to the damping torque coefficient of the two-region interconnected power system are extracted from the mapping table as the optimal parameters, and the parameters of the wind turbine additional reactive damping controller are adjusted to the optimal parameters; wherein the controller parameter optimization strategy includes the mapping table.

4. A parameter optimization device for a wind turbine additional reactive damping controller, It is characterized in that include: A model building module, for building a dynamic model of the two-region interconnected power system to which the wind turbine is connected, and building a linearized model of the wind turbine based on an additional reactive damping control strategy of the wind turbine; A coefficient acquisition module, used for obtaining a damping torque coefficient of the two-region interconnected power system by combining a dynamic model of the two-region interconnected power system and a linearized model of the wind turbine using a damping torque analysis method; A parameter optimization module, for adjusting the parameters of the wind turbine additional reactive damping controller to optimal parameters based on a predefined controller parameter optimization strategy and according to the damping torque coefficient of the two-region interconnected power system; Among them, the dynamic model of the two-region interconnected power system is: ； in, , Two regional generators , The equivalent inertia time constant, the prefix D indicates the change of the parameter, For two-region generator , The difference in the rotor angular velocity, t is the time, For generator The initial voltage at the node, For generator The voltage at the node, For two-region generator , The difference in the initial rotor position angle is For two-region generator , The difference in rotor position angles is For generator Area and generator The exchange reactive power of the area, X is the tie line reactance, ; Wherein, the linearized model of the fan is: ； The prefix D indicates the change in the parameter. The reactive power injected into the wind farm, is the time constant of the reactive power response of the converter outer loop, is the Laplace operator, is the droop coefficient of the additional reactive damping controller of the fan, For two-region generator , The difference in the rotor angular velocity.

5. The wind turbine additional reactive damping controller parameter optimization device as claimed in claim 4, It is characterized in that The coefficient acquisition module is specifically used to adopt a damping torque analysis method to solve the dynamic model of the two-region interconnected power system and the linearized model of the wind turbine according to the electrical parameters of the two-region interconnected power system, so as to obtain the damping torque coefficient of the two-region interconnected power system.

6. The wind turbine additional reactive damping controller parameter optimization device according to claim 4, It is characterized in that The parameter optimization module is specifically used to extract the controller parameters corresponding to the damping torque coefficient of the two-region interconnected power system from the mapping table as the optimal parameters when the damping torque coefficient of the two-region interconnected power system is greater than 0, and adjust the parameters of the wind turbine additional reactive damping controller to the optimal parameters; wherein the controller parameter optimization strategy includes the mapping table.

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