A broadband oscillation suppression method and electronic equipment for connecting new energy to power grid

Abstract

The present invention relates to the field of broadband oscillation suppression, and in particular to a broadband oscillation suppression method and electronic equipment for the access of new energy to the power grid. The method includes the following steps: establishing a signal model of the AC / DC grid-connected system of a new energy unit, determining the oscillation mode that causes the system signal model to become unstable; designing an additional damping controller for the oscillation mode, and establishing a system signal model after adding the damping controller; using the parameters of the additional damping controller as optimization variables, optimizing the parameters of the additional damping controller under constraints according to the objective function of the parameter optimization model; solving the parameter optimization model to obtain the optimal damping controller parameters, substituting the optimal damping controller parameters into the signal model of the AC / DC grid-connected system of the new energy unit to suppress broadband oscillations. Compared with the prior art, the present invention has the advantages of fast calculation speed and can effectively suppress broadband oscillations.

Description

Technical Field

[0001] The present invention relates to the field of broadband oscillation suppression, and in particular to a broadband oscillation suppression method for connecting new energy to a power grid and electronic equipment. Background Art

[0002] In order to meet the needs of future energy development, the development of new energy such as wind power and photovoltaics is accelerating. However, with the continuous increase in the installed capacity of new energy units such as wind power and photovoltaics, a large number of power electronic devices brought by the control system of new energy units have been added to the source side of the power grid. At the same time, the widespread application of flexible direct current has also added a large number of power electronic devices brought by its sending and receiving control systems to the grid side. In previous studies, it was found that broadband oscillations may occur between power electronic devices and in the interaction between power electronic devices and the power grid. Therefore, the large number of power electronic components added to the source and grid sides of the power grid have brought greater risks to the safety and stability of the power grid, and also put forward higher requirements for the suppression measures of broadband oscillations.

[0003] There are currently three methods for the research on broadband oscillation suppression of new energy access to the power grid: first, changing the system operating state; second, adding a damping controller; third, coordinating and optimizing controller parameters. Changing the system operating state has a long rectification cycle, many approval links, high transformation costs, and even the construction process will affect the normal operation of the power grid. Optimizing controller parameters is the most economical method from the perspective of cost investment, but it requires coordinated adjustments by various equipment manufacturers and readjustment of the existing equipment control strategy. The method of adding a broadband oscillation suppression device requires connecting a broadband oscillation suppression device in parallel on the power grid side. From the perspective of suppression effect, this method has a small size, low cost, flexible movement, and fast response speed, and can suppress oscillations in different frequency bands. Although the additional damping control has a good result for the suppression of broadband oscillations, when solving the problem of multi-modal oscillations, it is necessary to design an oscillation suppression link for each modal frequency and recalculate each modal parameter, which is a relatively complicated process. Summary of the invention

[0004] The purpose of the present invention is to overcome the defects of the above-mentioned prior art and provide a method for suppressing broadband oscillation of new energy access to the power grid, which can coordinate and optimize the parameters of the additional damping controller to achieve the ideal effect.

[0005] The purpose of the present invention can be achieved by the following technical solutions:

[0006] The present invention provides a method for suppressing broadband oscillation when a new energy source is connected to a power grid, comprising the following steps:

[0007] S1. Establish a signal model of the AC / DC grid-connected system of new energy units, use the eigenvalue analysis method to perform mechanism analysis on the system signal model, and determine the oscillation mode that causes the system signal model to become unstable;

[0008] S2. Designing an additional damping controller for the oscillation mode and establishing a system signal model after adding the damping controller;

[0009] S3, taking the parameters of the additional damping controller as optimization variables and the coupled oscillation mode as improvement targets, establishing an additional damping controller parameter optimization model, and optimizing the parameters of the additional damping controller under constraints according to the objective function of the parameter optimization model;

[0010] S4. The parameter optimization model is solved by using an improved simulated plant algorithm based on cloud model theory, and the target oscillation mode is tracked during the optimization process to obtain the optimal damping controller parameters. The optimal damping controller parameters are substituted into the signal model of the AC / DC grid-connected system of the new energy unit to suppress broadband oscillations.

[0011] The mathematical equation of the signal model of the AC / DC grid-connected system of the new energy generator set is expressed by the following formula:

[0012]

[0013] Among them, p=d / dt is the differential operator; X, Y, A1, B1, and C1 represent state variables, system algebraic variables, state matrix, relationship matrix between state variables and algebraic variables, and relationship matrix between algebraic variables and state variables, respectively.

[0014] The additional damping controller includes a permanent magnet direct drive wind turbine grid-side additional damping controller and a flexible direct drive additional damping controller.

[0015] For multi-mode, the grid-side additional damping controller of the permanent magnet direct-drive wind turbine is designed as multiple groups of bandpass filters, including multiple identical single-group damping controllers. The state space equation of the single-group damping controller is:

[0016]

[0017] Among them, p = d / dt, is the differential operator; ω c is the cut-off frequency; ξ is the damping ratio; Δω is the speed deviation signal; K is the gain coefficient; X1 and X2 are the output variables of the filter respectively; X3 and X4 are the output variables of the phase compensation link respectively; T i is the time constant.

[0018] The flexible direct current additional damping controller is respectively attached to the active power control loop and the reactive power control loop of the VSC-HVDC sending end to realize the decoupling control of the active power and the reactive power.

[0019] The objective function of the parameter optimization model is:

[0020]

[0021] Where K is the target mode number; η is the weight coefficient of the target mode; ξ is the damping ratio of the target mode.

[0022] The constraints of the parameter optimization model are:

[0023]

[0024] Among them, k p-m.n is the nth proportional coefficient of the mth additional damping controller; k p-m.n-max With k p-m.n-min are the upper and lower limits of the proportional coefficient respectively; k i-m.n is the nth integral coefficient of the mth additional damping controller; k i-m.n-max With k i-m.n-min are the upper and lower limits of the integral coefficient respectively; ε 0i1 is the damping ratio threshold of target mode i; ε 0i2 is the damping ratio of target mode i under the initial parameters of the controller; ξ k is the damping ratio of the non-target mode k; ε 1k is the damping ratio threshold of a given non-target mode k.

[0025] The parameter optimization process of the additional damping controller includes the following steps:

[0026] Step S41, solving the parameter optimization model using an improved plant simulation algorithm based on cloud model theory, and tracking the target oscillation mode during the optimization process to determine whether a convergence condition is met;

[0027] Step S42: If yes, output the optimal controller parameters, stop the optimization, substitute the optimal damping controller parameters into the AC / DC grid-connected system signal model of the new energy generator set to suppress broadband oscillation;

[0028] Step S43: If not, update the parameters to be optimized, re-optimize the parameter optimization model through the objective function and constraint conditions, and repeat step S41.

[0029] The target oscillation pattern similarity is defined by borrowing paradigm similarity retrieval.

[0030] In a second aspect, the present invention provides an electronic device, comprising a memory, a processor, and a program stored in the memory, wherein the processor implements any of the above-described methods when executing the program.

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] 1. Faster calculation speed: The parameter optimization model of the additional damping controller in the present invention adopts an improved plant simulation algorithm based on cloud model theory. The cloud model has the characteristics of certainty in uncertainty and change in stability when expressing knowledge. It specifically solves the problem that the original algorithm can only handle integer programming, and adopts the variable step size method to effectively improve the convergence speed.

[0033] 2. Effectively suppress broadband oscillations: The present invention tracks the target oscillation mode in the optimization strategy to ensure that the optimization target is always the selected mode to be improved. This can effectively solve the problem that when the frequency of the target oscillation mode changes greatly, the target mode may be unable to be optimized in the next round of optimization due to the loss of the optimization target. This ensures that the controller parameters that can maximize the damping of the target oscillation mode are effectively obtained and substituted into the model to effectively suppress broadband oscillations. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 This is a flow chart of the broadband oscillation suppression method for connecting new energy to the power grid according to the present invention;

[0035] Figure 2 It is the topological structure diagram of the AC / DC grid-connected system of the wind farm;

[0036] Figure 3 This is the additional damping control structure diagram of the permanent magnet direct drive grid-side controller;

[0037] Figure 4 This is the structure diagram of the flexible additional damping control;

[0038] Figure 5 Flowchart for damping controller parameter optimization;

[0039] Figure 6 This is a comparison diagram of the damping ratios of various oscillation modes before and after the additional damping controller for SSO-1 and SSO-2 treatment in this embodiment;

[0040] Figure 7 This is a comparison diagram of the damping ratios of various oscillation modes before and after the additional damping controller for SSO-5 and SupSO treatment in this embodiment;

[0041] Figure 8 This is a comparative analysis diagram of active power and a PRONY analysis diagram of the permanent magnet direct-drive wind turbine grid-side controller before and after the damping controller is added in this embodiment, where: Figure 8 (a) is the active power comparison analysis diagram, Figure 8 (b) is the PRONY analysis diagram;

[0042] Fig. 9 This is a comparative analysis diagram of active power before and after the additional damping controller is added to the flexible DC receiving end and a PRONY analysis diagram of this embodiment, where: Fig. 9(a) is the active power comparison analysis diagram, Fig. 9 (b) is the PRONY analysis diagram. DETAILED DESCRIPTION

[0043] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is implemented based on the technical solution of the present invention, and provides a detailed implementation method and specific operation process, but the protection scope of the present invention is not limited to the following embodiments.

[0044] This embodiment provides a method for suppressing broadband oscillations of new energy access to a power grid. Figure 1 As shown, the method includes:

[0045] Step 1: Establish a small signal model of the AC / DC grid-connected system of a new energy unit (taking a wind farm as an example), use the eigenvalue analysis method to analyze the mechanism of the oscillation mode that is more likely to cause system instability, and determine the key factors that affect it.

[0046] Specifically, the mathematical equations of the small signal model of the AC / DC grid-connected wind farm are first established, and the state space model of each module can be obtained by linearization:

[0047]

[0048] Where, p = d / dt, which is the differential operator; X, Y, A1, B1, and C1 represent the state variables, the system algebraic variables, the state matrix, the relationship matrix between the state variables and the algebraic variables, and the relationship matrix between the algebraic variables and the state variables, respectively;

[0049] Through the input-output relationship between each module, namely the interface equation, combined with coordinate transformation, the overall module can be integrated into an overall state space model under the same coordinate system. Then, the eigenvalue analysis method is used to analyze the mechanism of the small signal model of the wind farm AC / DC grid-connected system. According to the key factors affected, the oscillation mode that is more likely to cause the small signal model of the wind farm AC / DC grid-connected system to become unstable is determined.

[0050] The topological structure of the AC / DC grid-connected system of a wind farm is as follows: Figure 2 As shown, according to Figure 2 The small signal model of the AC / DC grid-connected system of the wind farm is established, and the following results are obtained through eigenvalue calculation and participation factor analysis:

[0051] The LFO-1 and LFO-2 modes are triggered by the axis systems of D-PMSG1 and D-PMSG2, respectively, and the participating oscillating subsystems are their axis systems;

[0052] The SSO-3 and SSO-4 modes are caused by D-PMSG1 and D-PMSG2 themselves, which are mainly affected by the machine-side controller of the permanent magnet direct-drive wind turbine. The participating oscillation subsystems are D-PMSG1 and D-PMSG2.

[0053] The SSO-1 and SSO-2 modes are caused by the interaction between D-PMSG1 and flexible DC, and the participating oscillation subsystems are VSC-HVDC and D-PMSG1 controllers;

[0054] The SSO-5 and SupSO modes are caused by the interaction between the flexible DC and the permanent magnet direct drive AC transmission lines, and the participating oscillation subsystems are D-PMSG1 and VSC-HVDC;

[0055] Among them, SSO-1, SSO-2, SSO-5 and SupSO are coupled oscillation modes, which are often related to multiple factors. More attention should be paid to the governance of such oscillation modes.

[0056] Step 2: Design an additional damping controller for the corresponding oscillation mode and establish a system model with the damping controller added.

[0057] Specifically, an additional damping controller is designed for the above oscillation mode, including a direct-drive wind turbine grid-side additional damping controller and a flexible direct-drive additional damping controller; Figure 3 The structure diagram of the additional damping control of the permanent magnet direct-drive grid-side controller is shown in Figure 2. The additional damping controller of the direct-drive wind turbine grid-side designs multiple groups of bandpass filters for multi-mode. The additional damping controller of the direct-drive wind turbine grid-side includes multiple identical single-group damping controllers. The state space equation of the single-group damping controller is:

[0058]

[0059] Among them, p = d / dt, is the differential operator; ω c is the cut-off frequency; ξ is the damping ratio; Δω is the speed deviation signal; K is the gain coefficient; X1 and X2 are the output variables of the filter respectively; X3 and X4 are the output variables of the phase compensation link respectively; T i is the time constant.

[0060] Figure 4 This is the structure diagram of the flexible direct current additional damping control. The flexible direct current additional damping controller is a damping controller added to the active power control loop and the reactive power control loop at the sending end of the VSC-HVDC (flexible direct current transmission) to achieve decoupling control of active power and reactive power.

[0061] Step 3, taking the parameters of the additional damping controller as the optimization variables, taking the coupled oscillation mode as the improvement target, and setting the damping ratio of the coupled oscillation mode as high as possible as the goal, establish the additional damping controller parameter optimization model for the flexible direct current sending end and receiving end, and the permanent magnet direct-drive wind turbine machine side and grid side, and optimize the parameters of the additional damping controller under the constraints according to the objective function of the parameter optimization model.

[0062] As a preferred technical solution, the parameter optimization model uses the additional damping controller parameters as optimization variables, with the goal of increasing the damping ratio of the coupled oscillation mode as much as possible to exceed a certain threshold without affecting the stability of the system;

[0063] The objective function of the parameter optimization model is:

[0064]

[0065] Where K is the target mode number; η is the weight coefficient of the target mode; ξ is the damping ratio of the target mode.

[0066] The constraints of the parameter optimization model are:

[0067]

[0068] Among them, k p-m.n is the nth proportional coefficient of the mth additional damping controller; k p-m.n-max With k p-m.n-min are the upper and lower limits of the proportional coefficient respectively; k i-m.n is the nth integral coefficient of the mth additional damping controller; k i-m.n-max With k i-m.n-min are the upper and lower limits of the integral coefficient respectively; ε 0i1 is the damping ratio threshold of target mode i; ε 0i2 is the damping ratio of target mode i under the initial parameters of the controller; ξ k is the damping ratio of the non-target mode k; ε 1k is the damping ratio threshold of a given non-target mode k.

[0069] Step 4: Use the improved plant simulation algorithm (I-PGSA) based on cloud model theory to solve the model, and track the target oscillation mode during the optimization process to obtain the damping controller parameters that can maximize the target oscillation mode. Substitute it into the small signal model of the wind farm AC / DC grid-connected system to suppress broadband oscillations.

[0070] As a preferred technical solution, the improved plant simulation algorithm based on cloud model theory integrates cloud model theory into the conventional plant simulation algorithm, utilizes the characteristics of cloud model in knowledge expression, which has the characteristics of certainty in uncertainty and variability in stability, changes the accuracy of each calculation result, and adopts the variable step size method to improve the convergence speed and shorten the calculation time.

[0071] Figure 5It is a damping controller parameter optimization flow chart. The improved simulated plant algorithm (I-PGSA) based on cloud model theory is used as the parameter optimization algorithm to solve the model, and the target oscillation mode is tracked during the optimization process to ensure that the optimization target is always the selected mode to be improved, and the optimal controller parameters that can maximize the damping of the target oscillation mode are obtained to determine whether the convergence conditions are met; if so, the optimal controller parameters are output and the optimization is stopped. The optimal damping controller parameters are substituted into the signal model of the AC / DC grid-connected system of the new energy unit to suppress broadband oscillations; if not, the parameters to be optimized are updated, and the parameter optimization model is optimized again through the objective function and constraints, and it is re-determined whether the convergence conditions are met.

[0072] For the target oscillation pattern n, the target oscillation pattern similarity is defined by referring to the paradigm similarity retrieval as:

[0073]

[0074] Among them, C a , C b are the sets of characteristic attributes of the oscillation mode n during the coordinated optimization process and under the initial conditions (including the eigenvalue of the mode, the ranking of participation factors, the oscillation frequency, the left and right eigenvectors and the angle between them); a k 、b k C a , C b The kth characteristic attribute of k , R k are the weight and value range of the kth feature attribute in the pattern n set respectively.

[0075] To verify the effectiveness of this technical solution, this embodiment includes two verification examples:

[0076] Verification Example 1: Eigenvalue analysis and comparison before and after adding the damping controller;

[0077] Verification Example 2: Time domain simulation verification before and after adding the damping controller.

[0078] In verification example 1, additional damping controllers are used to manage SSO-1 and SSO-2 (coupled oscillation mode between flexible direct-drive and permanent magnet direct-drive wind turbines) and their related controllers (GSC, SEC). I-PGSA is used to solve the controller parameters, and the maximum number of iterations of the optimization algorithm is set to 20. Other system parameters remain unchanged. The parameters after optimization of the additional controller are shown in Table 1. The comparison of the eigenvalues ​​before and after the addition of the additional damping controller is shown in Table 2. The comparison diagram is shown in Figure 6 shown.

[0079] Table 1 Optimized parameters of additional controller

[0080]

[0081] Table 2 Comparison of eigenvalues ​​before and after the addition of the additional damping controller

[0082]

[0083] From Table 2 and Figure 6 It can be seen that when there is no additional damping controller, the damping of the SSO-1 and SSO-2 oscillation modes is relatively low. After the parameters of the additional damping controller are optimized, the damping ratio of the SSO-1 and SSO-2 oscillation modes has a considerable increase, and the impact on the other oscillation modes is small. Certain oscillation modes can be accurately sorted out. Therefore, the present invention has good feasibility.

[0084] In Example I, additional damping controllers are used to manage SSO-5 and SupSO (coupled oscillation mode between AC and DC subsystems) and their related control systems (flexible DC receiving end control systems). The optimized parameters of the additional controllers are shown in Table 3. The comparison of eigenvalues ​​before and after the additional damping controllers are added is shown in Table 4. The comparison diagram is shown in Figure 7 shown.

[0085] Table 3 Optimized parameters of additional controller

[0086]

[0087] Table 4 Comparison of characteristic values ​​before and after adding the additional damping controller

[0088]

[0089] From Table 4 and Figure 7 It can be seen that when there is no additional damping controller, the damping of the SSO-5 and SupSO oscillation modes is relatively low. After the parameters of the additional damping controller are optimized, the damping ratio of the SSO-5 and SupSO oscillation modes has a considerable increase, and the impact on the other oscillation modes is small. Certain oscillation modes can be accurately sorted out. Therefore, the present invention has good feasibility.

[0090] To further verify the performance of this technical solution, Example II was built in the PSCAD / EMTDC environment. Figure 2 The model is shown in the figure, and a damping controller is added to the grid-side controller of the permanent magnet direct-drive wind turbine. The simulation time of the system is 10.0s. When the system runs to 2.0s, a single-phase ground short circuit fault with a duration of 0.2s is imposed on the receiving-end power grid PCC, and the change of the output active power at the bus PCC is observed. The output active power waveform is shown in Figure 8 (a) As shown. Furthermore, the output active power of the established system is analyzed using the PRONY analysis method, and the results are as follows: Figure 8 (b) as shown.

[0091] Depend on Figure 8 (a) and (b) show that when a small disturbance is added before the damping controller is put into use, the system is oscillatory and difficult to converge. However, after the damping controller is put into use and the parameters are optimized, the oscillation of the system is quickly calmed down after the small disturbance is added, which verifies the feasibility of the damping controller design method in the present invention.

[0092] Similarly, a damping controller is added to the flexible DC receiving end controller, and the output active power waveform is as follows: Fig. 9 (a) As shown. Further, the output active power of the established system is analyzed using the PRONY analysis method, and the results are as follows: Fig. 9 (b) as shown.

[0093] Depend on Fig. 9 (a) and (b) show that when a small disturbance is added before the damping controller is put into use, the system is oscillatory and difficult to converge. This disturbance is caused by SSO-2 and SSO-3. However, after the damping controller is put into use and the parameters are optimized, the oscillation can be effectively suppressed after adding a small disturbance, which verifies the feasibility of the damping controller design method in the present invention.

[0094] In summary, this embodiment proposes a method for suppressing broadband oscillations of new energy access to the power grid. First, a small signal model of the AC / DC grid-connected system of a new energy unit (taking a wind farm as an example) is established, and the eigenvalue analysis method is used to analyze the mechanism of the oscillation mode that is more likely to cause system instability, and determine the key factors that affect it; then, an additional damping controller is designed for the corresponding oscillation mode, and the parameters of the additional damping controller are used as optimization variables, and the coupled oscillation mode is used as the improvement target. The additional damping controller parameter optimization model of the flexible direct current sending end and receiving end, the permanent magnet direct drive wind turbine machine side and the grid side is established; finally, the improved simulated plant algorithm (I-PGSA) based on cloud model theory is used to solve the model, and the target mode is tracked during the optimization process to obtain the controller parameters that can maximize the damping of the target mode, and it is substituted into the system to suppress broadband oscillations. The simulation results show that the method proposed in the present invention can effectively optimize the parameters of the additional damping controller so that it has better suppression ability for broadband oscillations, and has application value in practical engineering.

[0095] Example 2

[0096] The present embodiment provides an electronic device, including a memory, a processor, and a program stored in the memory, and the processor implements the method mentioned in the above-mentioned embodiment 1 when executing the program. The specific contents that are the same as those in embodiment 1 are not repeated here. The difference from embodiment 1 is that the present embodiment provides a hardware device, which is an important carrier for implementing the method of embodiment 1, wherein the memory includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0097] The preferred specific embodiments of the present invention are described in detail above. It should be understood that a person skilled in the art can make many modifications and changes based on the concept of the present invention without creative work. Therefore, any technical solution that can be obtained by a person skilled in the art through logical analysis, reasoning or limited experiments based on the concept of the present invention on the basis of the prior art should be within the scope of protection determined by the claims.

Claims

1. A method for suppressing broadband oscillation when new energy is connected to a power grid, characterized in that: The following steps are involved: S1. Establish a signal model of the AC / DC grid-connected system of new energy units, use the eigenvalue analysis method to perform mechanism analysis on the system signal model, and determine the oscillation mode that causes the system signal model to become unstable; S2. Designing an additional damping controller for the oscillation mode and establishing a system signal model after adding the damping controller; S3, taking the parameters of the additional damping controller as optimization variables and the coupled oscillation mode as improvement targets, establishing an additional damping controller parameter optimization model, and optimizing the parameters of the additional damping controller under constraints according to the objective function of the parameter optimization model; S4. Solve the parameter optimization model using an improved simulated plant algorithm based on cloud model theory, and track the target oscillation mode during the optimization process to obtain optimal damping controller parameters, substitute the optimal damping controller parameters into the AC / DC grid-connected system signal model of the new energy unit to suppress broadband oscillations; The additional damping controller includes a permanent magnet direct drive wind turbine grid-side additional damping controller and a flexible direct drive additional damping controller; For multi-mode, the grid-side additional damping controller of the permanent magnet direct-drive wind turbine is designed as multiple groups of bandpass filters, including multiple identical single-group damping controllers. The state space equation of the single-group damping controller is: Among them, p=d / dt, is the differential operator; ω c is the cut-off frequency; ξ is the damping ratio; Δω is the speed deviation signal; K is the gain coefficient; X1 and X2 are the output variables of the filter respectively; X3 and X4 are the output variables of the phase compensation link respectively; T i is the time constant.

2. A method for suppressing broadband oscillation when new energy is connected to a power grid according to claim 1, characterized in that: The mathematical equation of the signal model of the AC / DC grid-connected system of the new energy generator set is expressed by the following formula: Among them, p=d / dt is the differential operator; X, Y, A1, B1, and C1 represent state variables, system algebraic variables, state matrix, relationship matrix between state variables and algebraic variables, and relationship matrix between algebraic variables and state variables, respectively.

3. A method for suppressing broadband oscillation when new energy is connected to a power grid according to claim 1, characterized in that: The flexible direct current additional damping controller is respectively attached to the active power control loop and the reactive power control loop of the VSC-HVDC sending end to realize the decoupling control of the active power and the reactive power.

4. A method for suppressing broadband oscillation when new energy is connected to a power grid according to claim 1, characterized in that: The objective function of the parameter optimization model is: Where K is the target mode number; η is the weight coefficient of the target mode; ξ is the damping ratio of the target mode.

5. A method for suppressing broadband oscillation when new energy is connected to a power grid according to claim 4, characterized in that: The constraints of the parameter optimization model are: Among them, k p-m.n is the nth proportional coefficient of the mth additional damping controller; k p-m.n-max With k p-m.n-min are the upper and lower limits of the proportional coefficient respectively; k i-m.n is the nth integral coefficient of the mth additional damping controller; k i-m.n-max With k i-m.n-min are the upper and lower limits of the integral coefficient respectively; ε 0i1 is the damping ratio threshold of target mode i; ε 0i2 is the damping ratio of target mode i under the initial parameters of the controller; ξ k is the damping ratio of the non-target mode k; ε 1k is the damping ratio threshold of a given non-target mode k.

6. A method for suppressing broadband oscillation when new energy is connected to a power grid according to claim 1, characterized in that: The parameter optimization process of the additional damping controller includes the following steps: Step S41, solving the parameter optimization model using an improved plant simulation algorithm based on cloud model theory, and tracking the target oscillation mode during the optimization process to determine whether a convergence condition is met; Step S42: If yes, output the optimal controller parameters, stop the optimization, substitute the optimal damping controller parameters into the AC / DC grid-connected system signal model of the new energy generator set to suppress broadband oscillation; Step S43: If not, update the parameters to be optimized, re-optimize the parameter optimization model through the objective function and constraint conditions, and repeat step S41.

7. A method for suppressing broadband oscillation when new energy is connected to a power grid according to claim 6, characterized in that: The target oscillation pattern similarity is defined by borrowing paradigm similarity retrieval.

8. An electronic device comprising a memory, a processor, and a program stored in the memory, characterized in that: When the processor executes the program, the method according to any one of claims 1 to 7 is implemented.

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