Oscillation damping optimization control device and method based on quantum annealing algorithm

Abstract

The application discloses an oscillation damping optimization control device and method based on a quantum annealing algorithm, and the device comprises: an analog quantity acquisition module connected with a bus and an analog-digital conversion module, which is used for completing the acquisition of voltage analog quantity of the alternating current bus and the analog-digital conversion. A band-stop filter, a band-pass filter, a proportional phase-shifting module and a limiting module constitute a multi-channel damping controller. A quantum annealing intelligent optimization module is used for completing the optimization of proportional and compensation parameters and compensating the current of the additional parallel converter. Finally, the output suppression current of the additional parallel converter is injected into the bus to complete the oscillation suppression. The application can fully exert the coordinated control effect of the multi-channel damping controller, realizes the coordinated optimization of the parameters of the multi-channel damping controller by setting different dynamic damping ratio thresholds, and realizes the optimal suppression of multi-modal oscillation.

Description

Technical Field

[0001] The present invention relates to the technical field of power system stability control, and in particular to an oscillation damping optimization control device and method based on a quantum annealing algorithm. Background Art

[0002] In recent years, with the continuous development of wind and photovoltaic renewable energy in the power system, the power system has also shown a "double high" feature. A large number of power electronic devices are prone to "mechanical-electromagnetic" interactions with the power grid, which can easily cause oscillations in the power system with frequencies ranging from several Hz to several kHz.

[0003] Currently, methods for suppressing broadband oscillations can be broadly categorized into two categories: oscillation source control and additional damping control. When broadband oscillations occur in a power system, the system exhibits a "negative damping" effect. Using an additional damping controller provides "positive damping" to the system, thereby suppressing the frequency oscillations. To improve suppression efficiency and reduce computational complexity, combining intelligent algorithms with damping control can be considered.

[0004] In the invention patent with announcement number CN115360697A, a method for suppressing subsynchronous oscillations in power supply systems is proposed, and the parameters of the DC supplementary damper are optimized based on a swarm intelligence optimization algorithm. However, this method mainly suppresses subsynchronous oscillations caused by equipment such as bridge cranes, automatic guided vehicle charging equipment, and rail cranes, and does not involve new energy power generation systems. In the invention patent with announcement number CN109347097B, a subsynchronous oscillation suppression strategy for a doubly fed wind power system based on an improved particle swarm optimization algorithm is proposed. The main purpose is to superimpose the output signal of the supplementary damping controller on the grid-side converter control of the wind power system, but only considers the subsynchronous oscillations caused by a single factor of wind power. Taking into account the existence of factors such as photovoltaics and wind power in the power system, it is urgent to explore broadband oscillation suppression optimization methods to avoid large computational complexity and falling into local optimality. Summary of the Invention

[0005] The present invention aims to solve one of the technical problems in the related art at least to a certain extent.

[0006] This invention proposes an oscillation damping optimization control device based on a quantum annealing algorithm. This device is not limited to the oscillation frequency range and can achieve wide-band, multi-modal oscillation suppression. It fully leverages the coordinated control capabilities of a multi-channel damping controller. By setting different dynamic damping ratio thresholds, it achieves coordinated optimization of the multi-channel damping controller parameters and achieves optimal suppression of multi-modal oscillations.

[0007] Another object of the present invention is to propose an oscillation damping optimization control method based on quantum annealing algorithm.

[0008] To achieve the above-mentioned object, the present invention proposes, on one hand, an oscillation damping optimization control device based on a quantum annealing algorithm, an analog quantity acquisition module, an analog-to-digital conversion module, a band-stop filter module, a band-pass filter module, a proportional phase shift module, a limiting module, a quantum annealing intelligent optimization module, and an additional parallel converter;

[0009] Connect the analog quantity acquisition module to the bus and analog-to-digital conversion module to collect the voltage analog quantity of the AC bus and complete the analog-to-digital conversion;

[0010] A multi-channel damping controller is formed by a band-stop filter, a band-pass filter, a proportional phase shift module and a limiter module;

[0011] The quantum annealing intelligent optimization module is used to optimize the proportion and compensation parameters, compensate the current of the additional parallel converter, and inject the output suppression current of the additional parallel converter into the bus to complete the oscillation suppression.

[0012] The oscillation damping optimization control device based on the quantum annealing algorithm in the embodiment of the present invention may also have the following additional technical features:

[0013] In one embodiment of the present invention, determining the objective function to be optimized of the damping controller includes:

[0014] Determine the transfer function of the link to be optimized, which is expressed as:

[0015] (1)

[0016] Where, k pi is the proportionality coefficient, is the compensation coefficient, m is the number of series compensation links;

[0017] Identify the oscillation modes of the open-loop system without a damping controller and combine the oscillation modes of the open-loop system with the transfer function of the damping controller to be optimized;

[0018] The oscillation mode of the open-loop system is expressed as:

[0019] (2)

[0020] The simplified transfer function of the open-loop system containing oscillation modes is expressed as:

[0021] (3)

[0022] The transfer function of the open-loop oscillation mode after the damping controller is expressed as:

[0023] (4)

[0024] (5)

[0025] The transfer function of the open-loop oscillation mode after the damping controller is normalized and the corresponding characteristic equation is extracted, which is expressed as:

[0026] (6)

[0027] Solve the characteristic roots corresponding to the closed-loop characteristic equation and calculate the damping that the damping controller can provide, which is expressed as:

[0028] (7)

[0029] Calculate the closed-loop damping corresponding to the oscillation mode, expressed as:

[0030] (8)

[0031] Where, s i is the damping of the oscillation mode corresponding to the undamped controller;

[0032] Calculate the closed-loop damping ratio and determine the objective function of the optimization function, which is expressed as:

[0033] (9)

[0034] In one embodiment of the present invention, a multi-objective damping control parameter coordinated optimization model is established, including:

[0035] Taking the maximization of the target mode damping ratio as the optimization goal, a multi-objective damping control parameter coordinated optimization model is established, which is expressed as:

[0036] (10)

[0037] Where, or i Target Mode i The inertia coefficient indicates the attention paid to different oscillation modes; x i Target Mode i Closed-loop damping ratio;

[0038] For subsynchronous / supersynchronous oscillation signals, the objective function is established and expressed as:

[0039] (11)

[0040] The constraints for the coordinated optimization of multiple oscillation modes are established as follows:

[0041] (12)

[0042] Establish the damping controller objective function, for the objective function of the optimization algorithm f ( x ) and nonlinear constraints s . t , expressed as:

[0043] (13)

[0044] Where, f The performance function defined is the objective function. n is the corresponding oscillation mode number, i is the number of the corresponding oscillation mode, s i is the closed-loop mode damping of the i-th oscillation mode, k i Oscillation mode i The gain coefficient, k imin Oscillation mode i The upper limit of the gain coefficient, k imax Oscillation mode i The upper limit of the gain coefficient; T i Oscillation mode i The time constant, T imin Oscillation mode i The lower limit of the time constant is T imax Oscillation mode i The upper limit of the time constant;

[0045] Improve the objective function, expressed as:

[0046] (14)

[0047] Where, x i = f ( k i , T pi ) is about k i and T pi function; or i =(1 / k pi )(i=1,2,3,…, n ) is the inertia coefficient corresponding to the damping ratio of the oscillation frequency.

[0048] In one embodiment of the present invention, oscillation suppression based on a damping optimization control device includes:

[0049] Collect AC voltage signals from the busbar and determine grid phase information through a phase-locked loop;

[0050] Calculate the active power setting value required for outer loop control based on grid phase information and generate corresponding control signals;

[0051] Inputting the control signal into a multi-channel damping controller to generate an optimized damping control signal, and superimposing the damping control signal onto the inner loop current control signal to generate an optimized current control signal;

[0052] The optimized current control signal is converted into a switching signal using pulse width modulation technology;

[0053] According to the received switching signal, the additional parallel converter is controlled to generate corresponding current output and injected into the bus to achieve oscillation suppression.

[0054] To achieve the above-mentioned object, the present invention further proposes an oscillation damping optimization control method based on a quantum annealing algorithm, comprising:

[0055] Get the controller parameters to be optimized;

[0056] Simulating quantum states in a quantum system based on controller parameters to be optimized;

[0057] The damping ratio is used as the objective function to characterize the state potential energy of the quantum in the quantum system, and the energy of the quantum system is used to determine the size of the damping ratio under the selected parameters to achieve parameter optimization of the damping controller.

[0058] Furthermore, the method further includes:

[0059] Using path integral Monte Carlo, the problem is mapped into a quantum Hamiltonian function H qa ( t ) The energy expression of the Hamiltonian operator Hamiltonian, find the yield H ( t ) value of the smallest variable combination, find the optimal value, expressed as:

[0060] (15)

[0061] Where, the quantum Hamiltonian function H qa ( t ) represents the evaluation function in the quantum annealing algorithm, H pot ( t) represents the state potential energy, which corresponds to the evaluation function of the simulated annealing algorithm. H kin ( t ) represents kinetic energy,

[0062] Determine the relationship between the quantum Hamiltonian function and the objective function of the damping controller, which can be expressed as:

[0063] (16)

[0064] The improvement is expressed as:

[0065] (17)

[0066] In the formula, { x ci = f ( k pi , T pi )}={ x ci = f ( k pi , t i )}; The optimal time constant of the damping controller is t express;

[0067] The objective function of the optimization problem is mapped to the Hamiltonian energy function of the quantum system, and damping optimization control is achieved based on the quantum annealing algorithm.

[0068] The oscillation damping optimization control device and method based on the quantum annealing algorithm in the embodiment of the present invention give different oscillation modes corresponding weighted inertia coefficients in the objective function to highlight the attention paid to different oscillation modes, so as to achieve the effect of rapid attenuation of different oscillation modes, based on the characteristic that different oscillation modes have different corresponding attenuation speeds.

[0069] Additional aspects and advantages of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description which follows, or may be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0071] Figure 1 is a structural diagram of an oscillation damping optimization control device based on a quantum annealing algorithm according to an embodiment of the present invention;

[0072] Figure 2is a diagram of an oscillation damping optimization control structure based on a quantum annealing algorithm according to an embodiment of the present invention;

[0073] Figure 3 2. It is a schematic diagram of a damping optimization control device for oscillation suppression according to an embodiment of the present invention;

[0074] Figure 4 This is a diagram of simulation results of oscillation damping optimization control based on a quantum annealing algorithm according to an embodiment of the present invention. DETAILED DESCRIPTION

[0075] It should be noted that, in the absence of conflict, the embodiments and features of the embodiments of the present invention can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0076] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described 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 making creative efforts should fall within the scope of protection of the present invention.

[0077] The following describes an oscillation damping optimization control device and method based on a quantum annealing algorithm according to an embodiment of the present invention with reference to the accompanying drawings.

[0078] Figure 1 is a structural diagram of an oscillation damping optimization control device based on a quantum annealing algorithm according to an embodiment of the present invention, such as Figure 1 As shown, the system connection method is as follows:

[0079] 1. (1) is connected to the bus, and (2) is connected to (1) to complete the acquisition of the voltage analog quantity of the AC bus and complete the analog-to-digital conversion.

[0080] 2. (3) is connected to (2), (4) is connected to (2), (5) is connected to (3), (6) is connected to (4), (7) is connected to (5), and (8) is connected to (6), completing the extraction of fundamental wave signal, subsynchronous oscillation signal and supersynchronous oscillation signal.

[0081] 3. (9) is connected to (7), (10) is connected to (8), (11) is connected to (9), and (11) is connected to (10) to achieve the optimization of the ratio and compensation parameters based on the quantum annealing algorithm.

[0082] 4. (12) is connected to (9), (13) is connected to (10), and the compensation current is output through the superposition of the limiting module.

[0083] 5. (14) is connected to (12), and (14) is connected to (13), and the current signal is superimposed on the double closed-loop control to complete the operation of the additional parallel converter.

[0084] 6. (14) is connected to the busbar, and the output suppression current of the additional parallel converter is injected into the busbar to complete the oscillation suppression.

[0085] Figure 2 This is the structure diagram of the oscillation damping optimization control based on the quantum annealing algorithm of the present invention, based on which, the following controls are included:

[0086] Furthermore, the objective function to be optimized of the multi-channel damping controller is determined as follows:

[0087] Step 1: Determine the transfer function of the link to be optimized, which can be expressed as:

[0088] (1)

[0089] Where, k pi is the proportionality coefficient, is the compensation coefficient, m is the number of series compensation links.

[0090] Step 2: Identify the oscillation mode of the open-loop system without the damping controller, and combine the oscillation mode of the open-loop system with the transfer function of the link to be optimized of the damping controller.

[0091] The oscillation mode of the open-loop system can be expressed as:

[0092] (2)

[0093] The simplified transfer function of the open-loop system with oscillation mode can be expressed as:

[0094] (3)

[0095] The transfer function of the open-loop oscillation mode after the damping controller can be expressed as:

[0096] (4)

[0097] (5)

[0098] Step 3: Normalize the transfer function of the open-loop oscillation mode after the damping controller and extract the corresponding characteristic equation, which can be expressed as:

[0099] (6)

[0100] Step 4: Solve the characteristic roots corresponding to the closed-loop characteristic equation and calculate the damping that the damping controller can provide, which can be expressed as:

[0101] (7)

[0102] Step 5: Calculate the closed-loop damping corresponding to the oscillation mode, which can be expressed as:

[0103] (8)

[0104] Where, s i is the damping of the oscillation mode corresponding to the undamped controller.

[0105] Step 6: Calculate the closed-loop damping ratio and determine the objective function of the optimization function, which can be expressed as:

[0106] (9)

[0107] Furthermore, a multi-objective damping control parameter coordinated optimization model is established. Based on the regular distribution of the damping ratio and the oscillation attenuation speed, inertia coefficients are further added to the different oscillation modes in the objective function to improve the response speed of the damping controller, thereby achieving coordinated optimization between different oscillation modes and multi-objective damping control parameters. The steps are as follows:

[0108] Step 1: Taking the maximization of the target mode damping ratio as the optimization goal, a multi-objective damping control parameter coordinated optimization model is established, which can be expressed as:

[0109] (10)

[0110] Where, or i Target Mode i The inertia coefficient indicates the attention paid to different oscillation modes; x i Target Mode i The closed-loop damping ratio.

[0111] Step 2: For the subsynchronous / supersynchronous oscillation signal, establish the objective function, which can be expressed as:

[0112] (11)

[0113] Step 3: Establish the constraints for coordinated optimization of multiple oscillation modes, which can be expressed as:

[0114] (12)

[0115] Step 4: Establish the objective function of the damping controller to increase the damping ratio and make the oscillation frequency decay quickly. f ( x ) and nonlinear constraints s . t , which can be expressed as:

[0116] (13)

[0117] Where, f The performance function defined is the objective function. n is the corresponding oscillation mode number, i is the number of the corresponding oscillation mode, s i is the closed-loop mode damping of the i-th oscillation mode, k i Oscillation mode i The gain coefficient, k imin Oscillation mode i The upper limit of the gain coefficient, k imax Oscillation mode i The upper limit of the gain coefficient; T i Oscillation mode i The time constant, T imin Oscillation mode i The lower limit of the time constant is T imax Oscillation mode i The upper limit of the time constant.

[0118] Step 5: Achieve coordinated optimization of different oscillation modes and multi-objective damping control parameters so that different oscillation modes can achieve a larger attenuation speed. Further improve the objective function, which can be expressed as:

[0119] (14)

[0120] Where, x i = f ( k i , T pi ) is about k i and T pi For the damping ratio threshold, different oscillation modes have different damping ratios. The low oscillation mode has a slow decay speed, so a larger damping ratio threshold is set. ori =(1 / k pi )(i=1,2,3,…, n ) is the inertia coefficient corresponding to the damping ratio of the oscillation frequency.

[0121] Figure 3 For damping optimization control devices oriented towards oscillation suppression, such as Figure 3 As shown, oscillation suppression based on a damping optimization control device includes: collecting AC voltage signals from the bus and determining grid phase information through a phase-locked loop; performing outer-loop control calculations on the active power setting value required based on the grid phase information, and generating a corresponding control signal; inputting the control signal into a multi-channel damping controller to generate an optimized damping control signal, and superimposing the damping control signal on the inner-loop current control signal to generate an optimized current control signal; converting the optimized current control signal into a switching signal using pulse width modulation technology; and controlling an additional parallel converter to generate a corresponding current output based on the received switching signal, and injecting the current output into the bus to complete oscillation suppression.

[0122] According to the embodiment of the present invention, the oscillation damping optimization control device based on the quantum annealing algorithm is not limited to the scope of action of the oscillation frequency, and can achieve wide-band, multi-modal oscillation suppression. It can give full play to the coordinated control role of the multi-channel damping controller, and realize the coordinated optimization of the parameters of the multi-channel damping controller by setting different dynamic damping ratio thresholds, so as to achieve the optimal suppression of multi-modal oscillations. In view of the fact that different oscillation modes correspond to different attenuation speeds, corresponding weighted inertia coefficients are given to different oscillation modes in the objective function to highlight the attention paid to different oscillation modes, so as to achieve the effect of rapid attenuation of different oscillation modes. The "tunneling" effect of quantum annealing can be used to quickly and accurately find the optimal value of the parameter to be optimized to achieve the optimization of the objective function. By taking the maximum value of the damping ratio as the optimization target for the dynamic characteristics reflecting the stability of the system, the damping characteristics of the system are optimized, and the suppression of system oscillation is further achieved.

[0123] In order to implement the above embodiment, this embodiment further provides an oscillation damping optimization control method based on a quantum annealing algorithm, including:

[0124] Get the controller parameters to be optimized;

[0125] Simulating quantum states in a quantum system based on controller parameters to be optimized;

[0126] The damping ratio is used as the objective function to characterize the state potential energy of the quantum in the quantum system, and the energy of the quantum system is used to determine the size of the damping ratio under the selected parameters to achieve parameter optimization of the damping controller.

[0127] Furthermore, Path Integral Monte Carlo (PIMC) is used to map the problem into a quantum Hamiltonian function H qa ( t )(Hamiltonian) energy expression, and then find the yield H ( t ) value, and then find the optimal value, which can be expressed as:

[0128] (15)

[0129] Where, the quantum Hamiltonian function H qa ( t ) represents the evaluation function in the quantum annealing algorithm, H pot ( t ) represents the state potential energy, which corresponds to the evaluation function of the simulated annealing algorithm. H kin ( t ) represents kinetic energy, to which quantum fluctuations are added (this value is initially large and then slowly decreases to 0 according to a certain schedule).

[0130] Furthermore, the relationship between the quantum Hamiltonian function and the objective function of the damping controller can be expressed as:

[0131] (16)

[0132] Further improvements can be made and expressed as:

[0133] (17)

[0134] In the formula, { x ci = f ( k pi , T pi )}={ x ci = f ( k pi , t i )}; To avoid conflict with the temperature T in the quantum annealing algorithm, the optimized time constant of the damping controller is t express.

[0135] Furthermore, the objective function of the optimization problem is mapped to the Hamiltonian energy function of the quantum system, and damping optimization control is achieved based on the quantum annealing algorithm.

[0136] Specifically, Figure 4 This is a diagram of simulation results of oscillation damping optimization control based on a quantum annealing algorithm according to an embodiment of the present invention.

[0137] According to the oscillation damping optimization control method based on the quantum annealing algorithm of the embodiment of the present invention, it is not limited to the scope of action of the oscillation frequency, and can achieve wide-band, multi-modal oscillation suppression. It can give full play to the coordinated control role of the multi-channel damping controller, and realize the coordinated optimization of the parameters of the multi-channel damping controller by setting different dynamic damping ratio thresholds, so as to achieve the optimal suppression of multi-modal oscillations. In view of the fact that different oscillation modes correspond to different attenuation speeds, corresponding weighted inertia coefficients are given to different oscillation modes in the objective function to highlight the attention paid to different oscillation modes, so as to achieve the effect of rapid attenuation of different oscillation modes. The "tunneling" effect of quantum annealing can be used to quickly and accurately find the optimal value of the parameter to be optimized to achieve the optimization of the objective function. By taking the maximum value of the damping ratio as the optimization target for the dynamic characteristics reflecting the stability of the system, the damping characteristics of the system are optimized, and the suppression of system oscillation is further achieved.

[0138] In the description of this specification, the reference terms "one embodiment," "some embodiments," "example," "specific example," or "some examples" mean that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0139] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "plurality" means at least two, such as two, three, etc., unless otherwise specifically defined.

Claims

1. An oscillation damping optimization control device based on quantum annealing algorithm, characterized in that: include: Analog acquisition module, analog-to-digital conversion module, band-stop filter module, band-pass filter module, proportional phase shift module, amplitude limiting module, quantum annealing intelligent optimization module and additional parallel converter; Connect the analog quantity acquisition module to the bus and analog-to-digital conversion module to collect the voltage analog quantity of the AC bus and complete the analog-to-digital conversion; A multi-channel damping controller is formed by a band-stop filter, a band-pass filter, a proportional phase shift module and a limiter module; The quantum annealing intelligent optimization module is used to optimize the ratio and compensation parameters, provide compensation current for the additional parallel converter, and inject the output suppression current of the additional parallel converter into the bus to achieve oscillation suppression. A multi-objective damping control parameter coordinated optimization model is established, including: Taking the maximization of the target mode damping ratio as the optimization goal, a multi-objective damping control parameter coordinated optimization model is established, which is expressed as: (10) Where, η i Target Mode i The inertia coefficient indicates the attention paid to different oscillation modes; ξ i Target Mode i Closed-loop damping ratio; For subsynchronous / supersynchronous oscillation signals, the objective function is established and expressed as: (11) The constraints for the coordinated optimization of multiple oscillation modes are established as follows: (12) Establish the damping controller objective function, for the objective function of the optimization algorithm f ( x ) and nonlinear constraints s . t , expressed as: (13) Where, f The performance function defined is the objective function. n is the corresponding oscillation mode number, i is the number of the corresponding oscillation mode, σ i is the closed-loop mode damping of the i-th oscillation mode, k i Oscillation mode i The gain coefficient, k imin Oscillation mode i The upper limit of the gain coefficient, k imax Oscillation mode i The upper limit of the gain coefficient; T i Oscillation mode i The time constant, T imin Oscillation mode i The lower limit of the time constant is T imax Oscillation mode i The upper limit of the time constant; Improve the objective function, expressed as: (14) Where, ξ i = f ( k i , T pi ) is about k i and T pi function; η i =(1 / k pi )(i=1,2,3,…, n ) is the inertia coefficient corresponding to the damping ratio of the oscillation frequency.

2. The device according to claim 1, characterized in that Determine the objective function to be optimized for the damping controller, including: Determine the transfer function of the link to be optimized, which is expressed as: (1) Where, k pi is the proportionality coefficient, is the compensation coefficient, m is the number of series compensation links; Identify the oscillation modes of the open-loop system without a damping controller and combine the oscillation modes of the open-loop system with the transfer function of the damping controller to be optimized; The oscillation mode of the open-loop system is expressed as: (2) The simplified transfer function of the open-loop system containing oscillation modes is expressed as: (3) The transfer function of the open-loop oscillation mode after the damping controller is expressed as: (4) (5) The transfer function of the open-loop oscillation mode after the damping controller is normalized and the corresponding characteristic equation is extracted, which is expressed as: (6) Solve the characteristic roots corresponding to the closed-loop characteristic equation and calculate the damping that the damping controller can provide, which is expressed as: (7) Calculate the closed-loop damping corresponding to the oscillation mode, expressed as: (8) Where, σ i is the damping of the oscillation mode corresponding to the undamped controller; Calculate the closed-loop damping ratio and determine the objective function of the optimization function, which is expressed as: (9)。 3. The device according to claim 1, characterized in that Oscillation suppression based on damping-optimized control devices, including: Collect AC voltage signals from the busbar and determine grid phase information through a phase-locked loop; Calculate the active power setting value required for outer loop control based on grid phase information and generate corresponding control signals; Inputting the control signal into a multi-channel damping controller to generate an optimized damping control signal, and superimposing the damping control signal onto the inner loop current control signal to generate an optimized current control signal; The optimized current control signal is converted into a switching signal using pulse width modulation technology; According to the received switching signal, the additional parallel converter is controlled to generate corresponding current output and injected into the bus to achieve oscillation suppression.

4. An oscillation damping optimization control method based on quantum annealing algorithm, characterized in that: include: Get the controller parameters to be optimized; Simulating quantum states in a quantum system based on controller parameters to be optimized; The damping ratio is used as the objective function to characterize the state potential energy of the quantum in the quantum system, and the energy of the quantum system is used to determine the size of the damping ratio under the selected parameters to achieve parameter optimization of the damping controller; The method further comprises: Using path integral Monte Carlo, the problem is mapped into a quantum Hamiltonian function H qa ( t ) The energy expression of the Hamiltonian operator Hamiltonian, find the yield H ( t ) value of the smallest variable combination, find the optimal value, expressed as: (15) Where, the quantum Hamiltonian function H qa ( t ) represents the evaluation function in the quantum annealing algorithm, H pot ( t ) represents the state potential energy, which corresponds to the evaluation function of the simulated annealing algorithm. H kin ( t ) represents kinetic energy, Determine the relationship between the quantum Hamiltonian function and the objective function of the damping controller, which can be expressed as: (16) The improvement is expressed as: (17) In the formula, { ξ ci = f ( k pi , T pi )}={ ξ ci = f ( k pi , τ i )}; The optimal time constant of the damping controller is τ express; The objective function of the optimization problem is mapped to the Hamiltonian energy function of the quantum system, and damping optimization control is achieved based on the quantum annealing algorithm.

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