An adaptive damping multi-resonance suppression method for a large-scale off-grid light hydrogen storage system

Abstract

The application discloses a kind of self-adaptive damping multi-resonance suppression methods of large-scale off-grid light hydrogen storage system, comprising:1.Sampling bridge arm side inductance current, error signal is obtained by subtracting given signal from bridge arm side inductance current;2.Error signal is obtained after sliding mode control;3.Output signal is obtained after damping adjustment unit;4.According to the difference of multi-machine parallel working condition, the adaptive adjustment of damping is carried out;5.The modulated signal is sent into space vector modulation unit, and the pulse driving signal of each switching device is output.The application can solve the multi-resonance problem of grid-connected inverter current loop, ensure the stable operation of system while improving dynamic response, and has important theoretical significance and practical value.

Description

Technical Field

[0001] The present invention relates to a method for suppressing multi-machine resonance with adaptive damping in a large-scale off-grid solar hydrogen storage system, and belongs to the field of control of green hydrogen production systems using renewable energy. Background Art

[0002] Hydrogen is a green, high-calorific value, ideal clean energy source suitable for long-term storage and mobility. Large-scale photovoltaic hydrogen production can improve photovoltaic utilization and effectively address the intermittent nature of photovoltaic power generation. Hydrogen production systems are categorized as grid-connected and off-grid, depending on whether they are connected to the grid. The disadvantage of grid-connected hydrogen production systems is their reliance on the grid, and the phase-controlled rectifier introduces a significant amount of harmonics into the grid, preventing the overall solution from producing truly clean "green hydrogen." Off-grid systems are completely disconnected from the grid, with the electrolyzers primarily powered by photovoltaic arrays and energy storage, effectively avoiding the adverse effects of grid harmonics. In large-scale photovoltaic hydrogen production projects, the capacity of a single inverter is insufficient to meet the needs of large-scale hydrogen production. Therefore, AC microgrid systems, consisting of multiple inverters connected in parallel, are becoming a trend in distributed power generation for large-scale hydrogen production applications.

[0003] In a distributed hydrogen production AC microgrid, grid-type energy storage inverters are networked and grid-following photovoltaic inverters are integrated into the microgrid. When multiple photovoltaic inverters operate in parallel, the output side of the inverter bridge is typically connected to an LCL filter, which results in: 1) a fixed resonance with a higher frequency, determined by the inverter's own parameters; and 2) another resonance, influenced by inverter interactions and shifting to lower frequencies as the number of inverters increases. Therefore, enhancing the robustness of the grid-following inverter at low frequencies and reducing the control loop's sensitivity to parameter changes are crucial for stable operation of multiple parallel machines. However, existing grid-following inverters often use a power outer loop combined with a current inner loop control system, which does not meet the required robustness.

[0004] The resonance mechanism of a single-grid inverter reveals that the primary cause of system resonance is the inherent resonance of the LCL filter, a third-order underdamped system. Therefore, increasing the system damping at the resonance can suppress the resonance by appropriately increasing the system damping. Passive damping methods using filter capacitors in parallel with resistors suffer from high power losses and are therefore difficult to implement in practice. Active damping methods using capacitor-current proportional feedback are widely used due to their significant resonance damping effects. However, these methods rely on sampling accuracy and lack flexibility in damping adjustment, hindering their direct application under multi-machine resonance conditions.

[0005] Therefore, it is of great significance to study the multi-machine resonance optimization control strategy in distributed hydrogen production AC microgrid. Summary of the Invention

[0006] In view of the above-mentioned deficiencies in the prior art, the present invention proposes an adaptive damping multi-machine resonance suppression method for a large-scale off-grid solar hydrogen storage system, in order to enhance the robustness of the current loop through sliding mode variable structure control to weaken the influence of the mutual coupling of multi-machine resonances, and adopt fuzzy control to adaptively adjust the active damping to improve the dynamic response, thereby ensuring the stable operation of the grid-following inverter and the requirement that the total harmonic distortion is less than 5%.

[0007] In order to achieve the above-mentioned object, the present invention adopts the following technical solutions:

[0008] The adaptive damping multi-machine resonance suppression method of a large-scale off-grid solar hydrogen storage system of the present invention is characterized in that it includes the following steps:

[0009] Step 1: Use equation (1) to establish the sufficient condition for the stability of the sliding mode control of the z-th LCL three-level grid-following inverter:

[0010] (1)

[0011] In formula (1), is the tracking error function of the inductor current on the bridge arm side of the zth LCL three-level grid-following inverter, and is obtained from formula (2), is the derivative of the tracking error function of the inductor current on the bridge arm side of the z-th LCL three-level grid-following inverter:

[0012] (2)

[0013] In formula (2), is a differential operator; is the extreme point of sliding mode control; represents the order of differentiation; represents the inductor current deviation on the bridge arm side of the z-th LCL three-level grid-following inverter, and is obtained from formula (3):

[0014] (3)

[0015] In formula (3), is the inductor current on the bridge arm side of the zth LCL three-level grid-following inverter; is the output current given value of the zth LCL three-level grid-following inverter;

[0016] Step 2: Determine whether equation (1) holds true. If so, it indicates that the zth LCL-type three-level grid-following inverter is stable. Otherwise, it indicates that the zth LCL-type three-level grid-following inverter is unstable, and execute step 3.

[0017] Step 3: According to the operating conditions of the large-scale off-grid solar hydrogen storage system, the active damping weight factor of the zth LCL type three-level grid-following inverter is Performing adaptive adjustment for adaptive active damping control of the zth LCL three-level grid-following inverter;

[0018] Step 4: Use equation (4) to get the control signal of the zth LCL three-level grid-following inverter :

[0019] (4)

[0020] In formula (4), is the robustness coefficient of the zth LCL three-level grid-following inverter, is the exponential approach coefficient of the zth LCL three-level grid-following inverter, and sat is the saturation function; is the capacitor current of the zth LCL three-level grid-following inverter;

[0021] Step 5: After performing Clarke inverse transformation, a three-phase modulation signal is obtained, and combined with the SVPWM modulation strategy, a pulse drive signal of the switching device is output to suppress the resonance of the zth LCL-type three-level grid-following inverter.

[0022] The adaptive damping multi-machine resonance suppression method for a large-scale off-grid solar hydrogen storage system according to the present invention is also characterized in that step 3 includes the following steps:

[0023] Step 3.1: Fuzzification:

[0024] Set the number of grid-connected inverters planned for long-term operation to M, and the number of grid-connected inverters temporarily put into operation / removed to N;

[0025] The domain of M is [0, m], and the domain of N is [-n, n], where m is the maximum number of grid-following inverters planned to be put into operation, and n is the maximum number of grid-following inverters that need to be temporarily put into operation or switched off. A positive value of n indicates that the inverters are put into operation, and a negative value of n indicates that the inverters are switched off.

[0026] Pick The domain of discourse is [0 , ];in, is the active damping limit value;

[0027] According to M, N, and The domain of discourse is divided into M, N, and The K fuzzy subsets of M are obtained accordingly. , the fuzzy set of N is , The fuzzy set is ,in, 、 and Represents M, N, and The kth fuzzy subset of ;

[0028] Step 3.2: Fuzzy Reasoning:

[0029] The operating conditions of large-scale off-grid solar hydrogen storage systems are divided into stable conditions and unstable conditions;

[0030] Under stable conditions, when M<(m / 2) and N<0, the active damping weight factor is , in order to improve the dynamic response rate of the zth LCL type three-level grid-following inverter;

[0031] Under unstable conditions, when M≥(m / 2) and N≥0, the active damping weight factor is , in order to reduce the resonance peak of the zth LCL type three-level grid-following inverter;

[0032] When M belongs to the rth fuzzy subset of its fuzzy set , and N belongs to the jth fuzzy subset in its fuzzy set When , the corresponding fuzzy output is recorded as , thereby constructing fuzzy reasoning relationships, including:

[0033] If r≥(K / 2) or j≥(K / 2), and r>j, Pick The K-r+1th fuzzy subset in the fuzzy set ;

[0034] If r≥(K / 2) or j≥(K / 2), and r <j时, Pick The K-j+1th fuzzy subset in the fuzzy set ;

[0035] If r<(K / 2) and j<(K / 2), and r>j, Pick The K-r+1th fuzzy subset in the fuzzy set ;

[0036] If r<(K / 2) and j<(K / 2), and r <j时, Pick The K-j+1th fuzzy subset in the fuzzy set ;

[0037] Step 3.3: Fuzzy output Perform defuzzification processing to obtain the accurate active damping weight factor of the zth LCL type three-level grid-following inverter .

[0038] The electronic device of the present invention includes a memory and a processor, and is characterized in that the memory is used to store a program that supports the processor to execute the adaptive damping multi-machine resonance suppression method, and the processor is configured to execute the program stored in the memory.

[0039] The present invention provides a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and the computer program executes the steps of the adaptive damping multi-machine resonance suppression method when the computer program is run by a processor.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] 1. The present invention uses sliding mode variable structure control based on improving the robustness of the system, thereby enhancing the robustness of the grid-following inverter current loop and reducing the sensitivity of the control loop to parameter changes; thereby effectively suppressing the noise component in the AC signal and improving the fidelity of the power frequency signal.

[0042] 2. The present invention achieves the effect of suppressing resonance and adaptive regulation by applying fuzzy control to the active damping control loop. Compared with the traditional active damping control loop, the requirement for sampling accuracy can be reduced; thereby ensuring that the large-scale off-grid solar hydrogen storage system can maintain stable output when the operating conditions change, improving its response speed and dynamic performance, reducing the risk of system instability caused by parameter mismatch or environmental changes, helping to reduce energy consumption, and improving the energy efficiency level of the overall system.

[0043] 3. By combining SMC and active damping, the present invention can simplify the complex controller expression of traditional SMC, reduce the interference of noise on the controller, and limit the amplitude of chattering; thereby solving the current loop multi-machine resonance problem existing in multiple grid-following inverters in large-scale off-grid solar hydrogen storage systems, increasing the stability margin of grid-following inverters in microgrids, and promoting the widespread and reliable application of LCL filtered three-level grid-following inverters, which has important theoretical significance and practical value. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 This is an architecture diagram of a large-scale off-grid solar hydrogen storage system in an embodiment of the present invention;

[0045] Figure 2 Schematic diagram of a parallel structure of multiple grid-connected three-level inverters in an embodiment of the present invention;

[0046] Figure 3 This is the control loop model diagram of the three-level inverter;

[0047] Figure 4 This is the three-phase grid current waveform of traditional QPR control under multi-machine working conditions;

[0048] Figure 5 This is the three-phase grid-following current waveform of traditional QPR control + active damping under multi-machine working conditions;

[0049] Figure 6 This is the grid current THD diagram of traditional QPR control + active damping under multi-machine operating conditions;

[0050] Figure 7 The three-phase grid current waveform of SMC+active damping under multi-machine working conditions;

[0051] Figure 8 This is the grid current THD diagram of SMC+active damping under multi-machine working conditions;

[0052] Figure 9 The three-phase grid current waveform of SMC+active damping when the LCL parameter is attenuated by 30%;

[0053] Figure 10 This is the grid current THD diagram of SMC+active damping when the LCL parameter is attenuated by 30%. DETAILED DESCRIPTION

[0054] In this embodiment, in order to solve Figure 1 In the large-scale off-grid solar hydrogen storage system shown in the figure, under the condition of multiple grid-fed inverters in parallel, the resonance causes instability. A method for suppressing multi-machine resonance with adaptive damping in large-scale off-grid solar hydrogen storage system is proposed. First, sufficient conditions for the stability of sliding mode control are established, and the sliding mode surface and the convergence law are designed. Secondly, the expression of the current control outer loop is derived by combining the circuit state equation, and the expression is simplified and stability analysis is performed. Then, according to the fuzzy control theory and the different working conditions of multiple machines (the switching of grid-fed inverters), fuzzy rules are designed, fuzzy logic reasoning and defuzzification are performed to achieve adaptive adjustment of active damping. Finally, Clarke inverse transform is performed to obtain the three-phase modulation wave. Combined with the SVPWM modulation strategy, the actual output of the three-phase inverter is realized to achieve the purpose of suppressing resonance, stabilizing the system and enhancing the robustness of the system. Specifically, the method includes:

[0055] Step 1: Use equation (1) to establish the sufficient condition for the stability of the sliding mode control of the z-th LCL three-level grid-following inverter:

[0056] (1)

[0057] In formula (1), is the tracking error function of the inductor current on the bridge arm side of the zth LCL three-level grid-following inverter, and is obtained from formula (2), is the derivative of the tracking error function of the inductor current on the bridge arm side of the z-th LCL three-level grid-following inverter:

[0058] (2)

[0059] In formula (2), is a differential operator; is the extreme point of sliding mode control; represents the order of differentiation; represents the inductor current deviation on the bridge arm side of the z-th LCL three-level grid-following inverter, and is obtained from formula (3):

[0060] (3)

[0061] In formula (3), is the inductor current on the bridge arm side of the zth LCL three-level grid-following inverter; is the output current given value of the zth LCL three-level grid-following inverter;

[0062] by For example, design the following sliding surface:

[0063] (4)

[0064] In formula (4), are the sliding surfaces of the α-axis and β-axis respectively; , are the inductor current errors on the bridge arm side of the α-axis and β-axis respectively; are the first-order derivatives of the inductor current errors on the α-axis and β-axis bridge arm sides, respectively; are the second-order derivatives of the inductor current errors on the α-axis and β-axis bridge arm sides, respectively; and are the sliding surface coefficients of the α-axis and β-axis respectively. The sliding surface coefficients are required to satisfy the Hurwitz condition to ensure that the error can converge to zero along the designed sliding surface motion trajectory after the system reaches the sliding surface.

[0065] The Hurwitz condition is expressed as follows: First, write the polynomial corresponding to the sliding surface:

[0066] (5)

[0067] In formula (5), p is the Laplace operator. The stability of the system requires that the poles of the characteristic equation are located in the left half plane of the complex plane, that is, the real part of the solution in formula (5) is required to be negative.

[0068] Select the reaching law as follows:

[0069] (6)

[0070] In formula (6), are the robustness coefficients of the α-axis and β-axis, respectively, and their sizes affect the anti-interference ability of the system. are the reaching law coefficients of the α-axis and the β-axis, respectively. Their magnitudes determine how quickly the control system reaches the sliding surface. The sat(S) function is defined as follows:

[0071] (7)

[0072] In formula (7) is the smoothing term coefficient. Using the sat(S) function instead of sign(S) in conventional sliding mode control can reduce the amplitude of the chattering and eliminate the chattering when the system interference is low.

[0073] This example takes two grid-following inverters as an example to establish the circuit model of the three-level grid-following inverter. Figure 2 As shown, the differential equation of the three-level inverter circuit is established:

[0074] (8)

[0075] (9)

[0076] (10)

[0077] Where, and They are the inverter three-phase output voltage and the inductor current flowing through the bridge arm side respectively; is the voltage of the inverter filter capacitor; L and R L are the inductance and resistance of the inductor on the bridge arm side respectively.

[0078] Rewrite the circuit equation and perform Clarke transformation:

[0079] (11)

[0080] Combining Equations (4), (6), (7), and (11), we can derive the sliding mode controller for the three-level grid-following inverter:

[0081] (12)

[0082] Considering the differential term amplifying noise, the sliding mode controller is simplified by combining the specific implementation parameters:

[0083] (13).

[0084] Step 2: Determine whether formula (1) holds true. If so, it indicates that the z-th LCL-type three-level grid-following inverter is stable. Otherwise, it indicates that the z-th LCL-type three-level grid-following inverter is unstable, and execute step 3.

[0085] Step 3: Define the active damping weight factor for adjusting the zth LCL three-level grid-following inverter , and according to the operating conditions of large-scale off-grid solar hydrogen storage system, Perform adaptive adjustment to perform adaptive active damping control on the zth LCL three-level grid-following inverter:

[0086] Step 3.1: Fuzzification:

[0087] Set the number of grid-connected inverters planned for long-term operation to M, and the number of grid-connected inverters temporarily put into operation / removed to N;

[0088] The domain of M is [0, m], and the domain of N is [-n, n], where m is the maximum number of grid-following inverters planned to be put into operation, and n is the maximum number of grid-following inverters that need to be temporarily put into operation or switched off. A positive value of n indicates that the inverters are put into operation, and a negative value of n indicates that the inverters are switched off.

[0089] Pick The domain of discourse is [0 , ];in, is the active damping limit value; in this embodiment, .

[0090] According to M, N, and The domain of discourse is divided into M, N, and The K fuzzy subsets of M are obtained accordingly. , the fuzzy set of N is , The fuzzy set is ,in, 、 and Represents M, N, and The kth fuzzy subset of .

[0091] Step 3.2: Fuzzy Reasoning:

[0092] The operating conditions of large-scale off-grid solar hydrogen storage systems are divided into stable conditions and unstable conditions;

[0093] Under stable conditions, when M<(m / 2) and N<0, the active damping weight factor is , in order to improve the dynamic response rate of the zth LCL type three-level grid-following inverter;

[0094] Under unstable conditions, when M≥(m / 2) and N≥0, the active damping weight factor is , in order to reduce the resonance peak of the zth LCL type three-level grid-following inverter;

[0095] When M belongs to the rth fuzzy subset of its fuzzy set , and N belongs to the jth fuzzy subset in its fuzzy set When , the corresponding fuzzy output is recorded as , thereby constructing fuzzy reasoning relationships, including:

[0096] If r≥(K / 2) or j≥(K / 2), and r>j, Pick The K-r+1th fuzzy subset in the fuzzy set ;

[0097] If r≥(K / 2) or j≥(K / 2), and r <j时, Pick The K-j+1th fuzzy subset in the fuzzy set ;

[0098] If r<(K / 2) and j<(K / 2), and r>j, Pick The K-r+1th fuzzy subset in the fuzzy set ;

[0099] If r<(K / 2) and j<(K / 2), and r <j时, Pick The K-j+1th fuzzy subset in the fuzzy set ;

[0100] The fuzzy rules of this embodiment are shown in Table 1:

[0101] Table 1

[0102]

[0103] Step 3.3: Fuzzy output Perform defuzzification processing to obtain the accurate active damping weight factor of the zth LCL type three-level grid-following inverter .

[0104] Step 4: Use formula (14) to obtain the control signal of the zth LCL type three-level grid-following inverter :

[0105] (14)

[0106] In formula (15), is the robustness coefficient of the zth LCL three-level grid-following inverter, is the exponential approach coefficient of the zth LCL three-level grid-following inverter, and sat is the saturation function; is the capacitor current of the zth LCL three-level grid-following inverter.

[0107] Step 5: After Clarke inverse transformation, the three-phase modulation signal is obtained, and the pulse drive signal of the switching device is output in combination with the SVPWM modulation strategy to suppress the resonance of the zth LCL type three-level grid-following inverter. The final control block diagram is as follows Figure 3 shown.

[0108] The main parameters in this embodiment are shown in Table 2:

[0109] Table 2

[0110]

[0111] In this embodiment, an electronic device includes a memory and a processor, wherein the memory is used to store a program that supports the processor to execute the above method, and the processor is configured to execute the program stored in the memory.

[0112] In this embodiment, a computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above method are executed.

[0113] To illustrate the effectiveness of the proposed method for suppressing multi-machine resonance, a simulation comparative analysis was conducted using traditional QPR, traditional QPR with active damping, and the proposed method. This example uses two three-level grid-connected inverters as an example. Figure 4 This is the three-phase grid-following current waveform of traditional QPR control under multi-machine working conditions. The system is unstable and the current waveform diverges. Figure 5 This is the three-phase grid-following current waveform of traditional QPR control + active damping under multi-machine operating conditions. The system is stable, but the current distortion is serious. Figure 6 This is the grid current THD diagram of traditional QPR control + active damping under multi-machine operating conditions, with a THD of 11.12%; Figure 7 The three-phase grid current waveform of the method proposed in this invention is stable and has good waveform quality. Figure 8 This is the grid current THD diagram of the method proposed in the present invention, with a THD of 0.55%; Figure 9 The three-phase grid current waveform of the method proposed in the present invention when the parameters are pinched (LCL parameters are simultaneously attenuated by 30%), the system is stable and the waveform quality is good; Figure 10The following figure shows the grid current THD of the proposed method when the parameters are adjusted. The THD is 0.56%. The above proves the effectiveness of the proposed method in suppressing multi-machine resonance.

Claims

1. An adaptive damping multi-machine resonance suppression method for a large-scale off-grid solar hydrogen storage system, characterized in that: The following steps are involved: Step 1: Use equation (1) to establish the sufficient condition for the stability of the sliding mode control of the z-th LCL three-level grid-following inverter: (1) In formula (1), is the tracking error function of the inductor current on the bridge arm side of the zth LCL three-level grid-following inverter, and is obtained from formula (2), is the derivative of the tracking error function of the inductor current on the bridge arm side of the z-th LCL three-level grid-following inverter: (2) In formula (2), is a differential operator; is the extreme point of sliding mode control; represents the order of differentiation; represents the inductor current deviation on the bridge arm side of the z-th LCL three-level grid-following inverter, and is obtained from formula (3): (3) In formula (3), is the inductor current on the bridge arm side of the zth LCL three-level grid-following inverter; is the output current given value of the zth LCL three-level grid-following inverter; Step 2: Determine whether equation (1) holds true. If so, it indicates that the zth LCL-type three-level grid-following inverter is stable. Otherwise, it indicates that the zth LCL-type three-level grid-following inverter is unstable, and execute step 3. Step 3: According to the operating conditions of the large-scale off-grid solar hydrogen storage system, the active damping weight factor of the zth LCL type three-level grid-following inverter is Performing adaptive adjustment for adaptive active damping control of the zth LCL three-level grid-following inverter; Step 4: Use equation (4) to get the control signal of the zth LCL three-level grid-following inverter : (4) In formula (4), is the robustness coefficient of the zth LCL three-level grid-following inverter, is the exponential approach coefficient of the zth LCL three-level grid-following inverter, and sat is the saturation function; is the capacitor current of the zth LCL three-level grid-following inverter; Step 5: After performing Clarke inverse transformation, a three-phase modulation signal is obtained, and combined with the SVPWM modulation strategy, a pulse drive signal of the switching device is output to suppress the resonance of the zth LCL-type three-level grid-following inverter.

2. The adaptive damping multi-machine resonance suppression method for a large-scale off-grid solar hydrogen storage system according to claim 1 is characterized in that: Step 3 includes the following steps: Step 3.1: Fuzzification: Set the number of grid-connected inverters planned for long-term operation to M, and the number of grid-connected inverters temporarily put into operation / removed to N; The domain of M is [0, m], and the domain of N is [-n, n], where m is the maximum number of grid-following inverters planned to be put into operation, and n is the maximum number of grid-following inverters that need to be temporarily put into operation or switched off. A positive value of n indicates that the inverters are put into operation, and a negative value of n indicates that the inverters are switched off. Pick The domain of discourse is [0 , ];in, is the active damping limit value; According to M, N, and The domain of discourse is divided into M, N, and The K fuzzy subsets of M are obtained accordingly. , the fuzzy set of N is , The fuzzy set is ,in, 、 and Represents M, N, and The kth fuzzy subset of ; Step 3.2: Fuzzy Reasoning: The operating conditions of large-scale off-grid solar hydrogen storage systems are divided into stable conditions and unstable conditions; Under stable conditions, when M<(m / 2) and N<0, the active damping weight factor is , in order to improve the dynamic response rate of the zth LCL type three-level grid-following inverter; Under unstable conditions, when M≥(m / 2) and N≥0, the active damping weight factor is , in order to reduce the resonance peak of the zth LCL type three-level grid-following inverter; When M belongs to the rth fuzzy subset of its fuzzy set , and N belongs to the jth fuzzy subset in its fuzzy set When , the corresponding fuzzy output is recorded as , thereby constructing fuzzy reasoning relationships, including: If r≥(K / 2) or j≥(K / 2), and r>j, Pick The K-r+1th fuzzy subset in the fuzzy set ; If r ≥ (K / 2) or j ≥ (K / 2), and when r < j, Take the (K - j + 1)-th fuzzy subset in the fuzzy set of ; If r<(K / 2) and j<(K / 2), and r>j, Pick The K-r+1th fuzzy subset in the fuzzy set ; If r < (K / 2) and j < (K / 2), and when r < j, Take the (K - j + 1)-th fuzzy subset in the fuzzy set of ; Step 3.3: Fuzzy output Perform defuzzification processing to obtain the accurate active damping weight factor of the zth LCL type three-level grid-following inverter .

3. An electronic device comprising a memory and a processor, characterized in that: The memory is used to store a program that supports the processor to execute the adaptive damping multi-machine resonance suppression method according to claim 1 or 2, and the processor is configured to execute the program stored in the memory.

4. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the adaptive damping multi-machine resonance suppression method according to claim 1 or 2 are executed.

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