Self-adaptive adjustment control method for virtual synchronous generator

Abstract

The invention discloses a self-adaptive adjustment control method for a virtual synchronous generator, solves the problem of how to prevent system instability caused by overcharge, overdischarge and overlarge voltage fluctuation of a direct-current bus capacitor, and belongs to the technical field of virtual synchronous generator control. The method comprises the following steps: obtaining an output power response signal curve of a VSG inverter according to three-phase voltage and current of a load end of the optical storage grid-connected system, and then obtaining a system angular frequency change rate # imgabs0 # and an angular frequency variation delta omega through a VSG active-frequency loop with a power reference value; dynamically adjusting a virtual rotational inertia coefficient J of a VSG active-frequency loop according to # imgabs 1 # and delta omega and a voltage fluctuation value signal delta Vdc of a direct current side bus capacitor, generating an actual angular frequency omega m and a reference voltage phase signal theta of a VSG inverter, and synthesizing a voltage reference value Uref by combining an electromotive force E generated by a virtual synchronous generator; and inputting the Uref into a control module of the optical storage grid-connected system, and generating a PWM (Pulse Width Modulation) signal to control a VSG inverter.

Description

Technical Field

[0001] The present invention relates to an adaptive regulation control method for a virtual synchronous generator considering the stability of the DC bus capacitor voltage, and belongs to the technical field of virtual synchronous generator control. Background Art

[0002] The popularization of new energy power generation has made a power grid with a high proportion of new energy the characteristic of a new generation of power systems. However, the large-scale grid connection of photovoltaic systems poses challenges to the dynamic response and stability of the power grid. Due to the intermittency, randomness, and volatility of photovoltaic power generation, as well as the minute disturbances in the power grid, the grid-connected photovoltaic inverter is prone to triggering characteristics such as dynamic adjustment of the output frequency, which may lead to power fluctuation impacts and, in extreme cases, affect the safety of the power grid. At the same time, the large-scale access of new energy power generation equipment will weaken the rotational inertia and damping of the power grid and reduce the resistance and recovery ability. Currently, most photovoltaic energy storage converters adopt a grid-following control strategy, relying on other equipment to provide a voltage source to maintain voltage stability. However, with the formation of a new type of power system, the proportion of synchronous generators has decreased and the power grid strength has weakened, posing challenges to grid-following converters.

[0003] If the future power system is entirely composed of power electronic converters, it will not be able to operate without a voltage source. Therefore, it is necessary to convert some photovoltaic energy storage converters into voltage source types. Grid-forming converters have emerged as the times require. Grid-forming converters can independently construct the AC-side output voltage and adapt to island and extremely weak grid environments. However, comprehensive stability analysis needs to be carried out under different grid strengths and disturbance forms. Due to the characteristics of simple control parameters, easy grid connection, and easy integration with other strategies, the VSG technology has become a research hotspot. It can enhance the stability of the power system by simulating the operating mechanism of synchronous generators. The traditional VSG control strategy has poor robustness. Therefore, researching parameter adaptive control technology, analyzing the virtual inertia characteristics of its VSG inverter, parameter adaptive optimization, and control methods under multiple working conditions to improve grid connection stability and response speed have important theoretical and practical significance.

[0004] The DC bus capacitor plays a crucial role in the photovoltaic inverter and virtual synchronous generator system. As the core energy storage component, it not only undertakes the task of energy buffering, suppressing the randomness and intermittent fluctuations of the photovoltaic output power, but also maintains the stability of the DC bus voltage by storing charges, providing a constant DC voltage platform for the inverter to ensure the continuity of AC-DC energy conversion. In addition, the DC bus capacitor can effectively filter out high-frequency harmonic currents and reduce the harmonic pollution to the power grid. For the VSG system, the stability of the DC bus voltage is the basis for realizing virtual inertia, active power, and reactive power control, directly affecting the regulation accuracy of the power grid frequency and voltage. If the capacitor voltage fluctuates significantly, it will cause the input voltage of the inverter to exceed the safe operating range, trigger protection shutdown, and even damage the power devices, while destroying the synchronization mechanism of the VSG and reducing the dynamic response performance of the system. Therefore, maintaining the stability of the DC bus capacitor voltage is the key to ensuring the stable operation of the photovoltaic-storage VSG system and improving the power quality, and it is also an important technical direction for enhancing the stability of future high-proportion renewable energy power systems. Summary of the Invention

[0005] Aiming at the problem of how to prevent the DC bus capacitor from overcharging, over-discharging, and excessive voltage fluctuations causing system instability, the present invention provides an adaptive regulation control method for a virtual synchronous generator considering the stability of the DC bus capacitor voltage.

[0006] An adaptive regulation control method for a virtual synchronous generator of the present invention includes:

[0007] Step 1: Obtain the three-phase voltage U abc at the load end of the photovoltaic-storage grid-connected system, the three-phase current I abc and the voltage fluctuation value signal ΔV dc of the DC side bus capacitor of the VSG inverter;

[0008] Step 2: Obtain the output power response signal curve of the VSG inverter according to the obtained three-phase voltage U abc and the three-phase current I abc ;

[0009] Step 3: Obtain the system angular frequency change rate and the angular frequency change amount Δω through the VSG active-frequency loop according to the output power response signal curve and the power reference value;

[0010] Step 4: Dynamically adjust the virtual moment of inertia coefficient J of the VSG active-frequency loop according to the system angular frequency change rate , the angular frequency change amount Δω, and the voltage fluctuation value signal ΔV dc to generate the actual angular frequency ω mCombine the reference voltage phase signal θ with the electromotive force E generated by the virtual synchronous generator to synthesize the voltage reference value U ref ;

[0011] Step Five: Input the voltage reference value U ref into the control module of the photovoltaic and energy storage grid-connected system to generate a PWM signal to control the VSG inverter.

[0012] Preferably, in Step Four, dynamically adjust the virtual moment of inertia coefficient of the VSG active-power - frequency loop according to the piecewise function, and the piecewise function is:

[0013]

[0014] where, J 0 is the value of the virtual moment of inertia coefficient when the photovoltaic and energy storage grid-connected system operates stably; Δt is the operation time of the photovoltaic and energy storage grid-connected system; K 0 is the threshold value of the change in Δω, K 1 is the threshold value of the change in dω / dt, K 0 , K 1 are used to prevent the influence of errors caused by small disturbances; P jΔVdc =ΔV dc ·P j , P j represents the photovoltaic and energy storage bus capacitor voltage regulation coefficient, j = 0, 1, 2, T i is the inertia time constant, i = 1, 2, s is the Laplace transform operator.

[0015] Preferably, for the tuning of J 0 :

[0016] During the stable operation of the photovoltaic and energy storage grid-connected system, it satisfies:

[0017]

[0018] where, P max is the maximum active power output by the photovoltaic and energy storage grid-connected system, ω is the angular frequency.

[0019] Preferably, in the VSG active-power - frequency loop, use the VSG virtual speed regulation equation and the VSG rotor motion equation to obtain the angular frequency ω m of the VSG inverter and the reference voltage phase signal θ;

[0020] The VSG virtual speed regulation equation is: P m =P ref +K ω (ω 0 -ω m )

[0021] In the formula, P mis the actual mechanical power output of the VSG, P ref is the reference value of the active power, K ω is the active-frequency droop control coefficient, ω 0 is the rated angular velocity;

[0022] The rotor motion equation of the VSG is:

[0023]

[0024] In the formula, T m is the mechanical torque of the VSG, T e is the electromagnetic torque of the VSG, and D is the virtual damping coefficient of the VSG;

[0025] Preferably, in the active-frequency loop of the VSG, the electromotive force E generated by the virtual synchronous generator is obtained by using the stator electromagnetic equation of the VSG. The stator electromagnetic equation of the VSG is:

[0026]

[0027] In the formula, U is the output voltage of the inverter, I is the stator current of the virtual synchronous generator, and R a is the virtual resistance, X a is the virtual inductance, and j is the imaginary part.

[0028] Preferably, the tuning of the virtual damping coefficient D of the VSG:

[0029] During the stable operation of the photovoltaic and energy storage grid-connected system, when dω / dt = 0, the tuning of D follows the inequality:

[0030]

[0031] In the formula: T m max is the maximum mechanical torque of the system, ω max is the maximum allowable angular frequency deviation; ω ref is the reference angular frequency deviation.

[0032] Preferably, step two includes:

[0033] Multiply the three-phase voltage U abc , three-phase current I abc and the corresponding phase power factor to obtain the instantaneous power of each phase;

[0034] Add the instantaneous powers of each phase to obtain the instantaneous output power response signal. Plot a graph with the running time as the abscissa and the instantaneous output power as the ordinate to obtain the output power response signal curve.

[0035] Advantages of the present invention: During the operation of the system, the photovoltaic and energy storage grid-connected power generation system adaptively adjusts while considering the influence of the DC bus capacitor voltage fluctuation value on the virtual moment of inertia according to the power angle characteristic of the VSG inverter and the change of the rotor angular frequency. Compared with the traditional adaptive control method, this method can ensure the stable operation of the photovoltaic and energy storage VSG system, optimize the system power response, which is the key to improving the power quality and an important technical direction for enhancing the stability of future high-proportion renewable energy power systems. Description of the Drawings

[0036] Figure 1 It is a structural diagram of a photovoltaic and energy storage VSG inverter grid-connected system provided by the present invention;

[0037] Figure 2 It is a curve graph of the power angle characteristic and the change of the rotor angular frequency of the photovoltaic and energy storage VSG inverter provided by the present invention;

[0038] Figure 3 It is a mechanism diagram of the interaction between the state of charge (SOC) of the remaining power of the photovoltaic and energy storage system and the virtual moment of inertia coefficient provided by the present invention;

[0039] Figure 4 It is an adaptive dynamic adjustment control block diagram of the virtual moment of inertia coefficient considering the photovoltaic and energy storage SOC provided by the present invention;

[0040] Figure 5 It is an output active power response graph of the photovoltaic and energy storage VSG grid-connected system caused by the sudden increase of the required active power of the photovoltaic and energy storage VSG provided by the present invention;

[0041] Figure 6 It is an output power response graph under different control strategies provided by the present invention. Detailed Embodiments

[0042] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0043] It should be noted that, without conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other.

[0044] Next, the present invention will be further described in conjunction with the drawings and specific embodiments, but it is not a limitation of the present invention.

[0045] The adaptive regulation control method of the virtual synchronous generator in this embodiment includes:

[0046] Step 1: Obtain the three-phase voltage U at the load end of the photovoltaic-storage grid-connected system abc , the three-phase current I abc and the voltage fluctuation value signal ΔV of the bus capacitor on the DC side of the VSG inverter dc ;

[0047] Specifically, the three-phase voltage U abc includes the a-phase voltage, the b-phase voltage, and the c-phase voltage; the three-phase current I abc includes the a-phase current, the b-phase current, and the c-phase current;

[0048] Step 2: Obtain the output power response signal curve of the VSG inverter according to the obtained three-phase voltage U abc , the three-phase current I abc ;

[0049] Specifically, multiply the three-phase voltage U abc , the three-phase current I abc and the corresponding phase power factor to obtain the instantaneous power of each phase; add the instantaneous powers of each phase to obtain the instantaneous output power response signal, and plot a graph with the running time as the abscissa and the instantaneous output power as the ordinate to obtain the output power response signal curve.

[0050] Step 3: Obtain the system angular frequency change rate and the angular frequency change amount Δω according to the output power response signal curve and the power reference value through the VSG active-frequency loop.

[0051] Based on Figure 2 the power angle characteristic and the rotor angular frequency change curve of the VSG inverter shown, divide a change cycle into four stages as shown in Figure 3 for analysis:

[0052] The first stage: the power rising period, the actual angular frequency ω m is greater than the reference value V ref , the angular frequency change rate is greater than 0, and the absolute value of the angular frequency change rate first increases rapidly and then decreases to 0. Appropriately increase the virtual inertia coefficient J to suppress the rapid change of the angular frequency change rate.

[0053] The second stage: the power rising period, the actual angular frequency ω m is greater than the reference value V ref , the angular frequency change rate is less than 0, and the absolute value of the angular frequency change rate first shows an increasing trend and then changes to a decreasing trend. Appropriately reduce the virtual inertia coefficient J to make the actual angular frequency consistent with the reference value as soon as possible.

[0054] The third stage: the power falling period, the actual angular frequency ωm Less than the reference value V ref , the angular frequency change rate Less than 0, the angular frequency change rate The absolute value first increases rapidly and then decreases to 0. To suppress the trend of the angular frequency deviating from the reference value in the reverse acceleration direction, the virtual inertia coefficient J is appropriately increased.

[0055] The fourth stage: the power decline period, the actual angular frequency ω m Less than the reference value V ref , the angular frequency change rate Greater than 0, the angular frequency change rate The absolute value first shows an increasing trend and then changes to a decreasing trend. To accelerate the speed of the actual angular frequency recovering to the reference value, the virtual inertia coefficient J is appropriately decreased.

[0056] According to Figure 2 the power angle characteristics and the rotor angular frequency change curve of the VSG inverter shown, after dividing a change cycle into four stages for analysis, the mutual influence relationship between the DC bus capacitor voltage fluctuation value and the VSG virtual inertia characteristics is analyzed as Figure 3 , based on the DC bus capacitor voltage fluctuation value signal obtained in step 1 and the system angular frequency change rate and angular frequency change amount described in step 3, and implementing the virtual synchronous generator adaptive regulation control method considering the DC bus capacitor voltage stability according to the results, the dynamic adjustment block diagram is as Figure 4 shown.

[0057] Specifically, the VSG active - frequency loop includes:

[0058] The VSG stator electromagnetic equation is expressed as the following formula:

[0059] In the formula, E is the electromotive force generated by the virtual synchronous generator, U is the inverter output voltage, I is the virtual synchronous generator stator current, R a is the virtual resistance, X a is the virtual inductance.

[0060] According to the active - frequency droop characteristics of the synchronous generator, a VSG virtual governor is established, which can be expressed as the following equation:

[0061] P m =P ref +K ω (ω 0 -ω m )

[0062] In the formula, P m is the actual output mechanical power of the VSG, P ref is the active power reference value, K ωis the active - frequency droop control coefficient, ω 0 is the rated angular velocity;

[0063] Under the condition that the VSG rotor motion equation is combined with the second - order transient model of a salient - pole synchronous generator and its number of pole pairs is assumed to be 1, it can be expressed as the following equation:

[0064]

[0065] In the formula, T m is the mechanical torque of the VSG, T e is the electromagnetic torque of the VSG, and D is the virtual damping coefficient of the VSG;

[0066] Step 4: According to the system angular frequency change rate and the angular frequency change Δω and the voltage fluctuation value signal ΔV dc dynamically adjust the virtual inertia coefficient J of the VSG active - frequency loop to generate the actual angular frequency ω m of the VSG inverter and the reference voltage phase signal θ, and combine the electromotive force E generated by the virtual synchronous generator to synthesize the voltage reference value U ref .

[0067] Analyze the mutual influence relationship between the DC - side bus capacitor voltage fluctuation value of the photovoltaic energy storage system and the VSG virtual inertia characteristics, and implement the adaptive regulation control method of the virtual synchronous generator considering the DC - bus capacitor voltage according to the result. Dynamically adjust the virtual inertia coefficient of the VSG active - frequency loop according to the piece - wise function, and the piece - wise function is:

[0068]

[0069] Among them, J 0 is the value of the virtual inertia coefficient when the photovoltaic - energy - storage grid - connected system operates stably; Δt is the operation time of the photovoltaic - energy - storage grid - connected system; K 0 is the threshold value of the change of Δω, K 1 is the threshold value of the change of dω / dt, K 0 , K 1 are used to prevent the error influence caused by small disturbances; P jΔVdc =ΔV dc ·P j , P j represents the photovoltaic - energy - storage bus capacitor voltage regulation coefficient, j = 0, 1, 2, T i is the inertia time constant, i = 1, 2, s is the Laplace transform operator.

[0070] ΔV dc =V dc -V ref where V dcis the actual value of the DC-side bus capacitor voltage, V ref is the reference value of the DC-side bus capacitor voltage. ΔV dc is the fluctuation value of the DC bus capacitor voltage. If its value is too high or too low, it will have an adverse impact on the charge and discharge efficiency and stability of the PV energy storage system. Therefore, it is necessary to deeply study the interaction relationship between the DC bus capacitor voltage stability and the virtual inertia characteristics of the PV energy storage VSG, and fully consider the dynamic fluctuation of the DC bus capacitor voltage value during the implementation of the adaptive parameter adjustment control strategy to ensure that the overall performance of the PV energy storage grid-connected system is not affected, and then achieve more stable and reliable grid connection operation. An inertia link is added before the change rate of dω / dt, and there are two purposes: one is to handle the problem that may be caused by the sudden change of dω / dt, which may lead to inconsistent dynamic characteristics between the energy storage device and the distributed power source. Since there is a certain time lag in the energy release of the energy storage device, it cannot immediately meet the energy demand at the moment of the dω / dt mutation; the other is to alleviate the sharp change (i.e., the spike phenomenon) of the value of the virtual moment of inertia coefficient J caused by the frequent fluctuation of dω / dt near the critical value K 1 so as to achieve a more stable adjustment process.

[0071] Step 5: Input the voltage reference value U ref into the control module of the PV energy storage grid-connected system to generate a PWM signal to control the VSG inverter, so as to achieve effective control of the VSG inverter of the PV energy storage system.

[0072] This embodiment proposes an adaptive virtual moment of inertia control method for the PV energy storage system considering the DC bus capacitor voltage stability. During the operation of the system, the PV energy storage grid-connected power generation system considers the influence of the DC bus capacitor voltage fluctuation value on the virtual moment of inertia while changing according to the power angle characteristic and the rotor angular frequency of the VSG inverter for adaptive adjustment. Thus, it can prevent problems such as limited power output of the PV energy storage system, ensure that the overall efficiency of the PV energy storage grid-connected power generation system is not affected, and achieve optimized system power response. Compared with the traditional adaptive adjustment control method, this method can ensure the stable operation of the PV energy storage VSG system, achieve optimized system power response, which is the key to improving the power quality and an important technical direction for enhancing the stability of future high-proportion renewable energy power systems.

[0073] The tuning of the VSG virtual damping coefficient D in this embodiment:

[0074] During the stable operation of the PV energy storage grid-connected system, when dω / dt = 0, the tuning of D follows the inequality:

[0075]

[0076] In the formula: T mmax is the maximum mechanical torque of the system, ω max is the maximum allowable angular frequency offset; ω ref is the reference angular frequency offset.

[0077] For J 0 setting:

[0078] During the stable operation of the photovoltaic and energy storage grid-connected system, it satisfies:

[0079]

[0080] Among them, P max is the maximum active power output by the photovoltaic and energy storage grid-connected system, and ω is the angular frequency.

[0081] The set working conditions of this embodiment are as follows:

[0082] In the initial state, the photovoltaic system maintains a maximum power output of 10KW, the reference value of the DC bus capacitor voltage is set to 800V, the nominal line voltage of the local load is 380V, the rated frequency is 50Hz, and the required active power is set to 10KW.

[0083] At 0 - 0.5s, the reference value of the active power of the photovoltaic and energy storage VSG inverter is set to 10KW. At this time, the required active power of the local load can be fully provided by the photovoltaic system, and the energy storage system does not charge or discharge.

[0084] At 0.5s, the reference value of the active power of the photovoltaic and energy storage VSG inverter suddenly changes to 20KW. At this time, the energy storage system compensates for the 10KW energy difference, and the photovoltaic and energy storage system jointly supplies energy to the subsequent system. The active power response curve of the photovoltaic and energy storage VSG grid-connected system caused by the sudden increase in the required active power of the photovoltaic and energy storage VSG is as Figure 6 shown. After the reference value of the active power suddenly changes, the system fluctuates, but after the primary frequency modulation process of the VSG corresponding control method, it still maintains stable operation.

[0085] The parameters of the VSG control loop module are set as shown in Table 1 below:

[0086] Table 1 Parameters of the VSG control loop module

[0087]

[0088]

[0089] Such as Figure 6The figure shows the comparison of the power response curves of the virtual synchronous generator adaptive regulation control method and the ordinary adaptive control method in this embodiment after the system generates fluctuations. As can be seen from the figure, at 0.5 s, after the active power reference value suddenly changes to 20 KW, the active power fluctuation during the frequency regulation process of the system adopting the control method described in this patent is smaller than that of the ordinary adaptive control method, the overshoot of the active power is smaller, it recovers to stability faster, the regulation time is shorter, and the slope of the regulation curve is gentler. Considering the influence of the DC bus capacitor voltage fluctuation value on the virtual moment of inertia, the power response optimization of the system is successfully realized, which is beneficial to preventing the occurrence of system instability phenomena.

[0090] Although the present invention has been described herein with reference to particular embodiments, it should be understood that these embodiments are merely examples of the principles and applications of the invention. It should be understood, therefore, that numerous modifications may be made to the exemplary embodiments, and other arrangements may be devised, without departing from the spirit and scope of the invention as defined by the appended claims. It should be understood that the features described in the dependent claims and herein may be combined in ways different from those described in the original claims. It should also be understood that the features described in connection with separate embodiments may be used in other described embodiments.

Claims

1. A virtual synchronous generator adaptive regulation control method, characterized in that: The method comprises: Step 1: Obtain the three-phase voltage U at the load end of the photovoltaic energy storage grid-connected system abc , three-phase current I abc And the voltage fluctuation signal ΔV of the DC bus capacitor of the VSG inverter dc ; Step 2: According to the obtained three-phase voltage U abc , three-phase current I abc The output power response signal curve of the VSG inverter is obtained; Step 3: Obtain the system angular frequency change rate according to the output power response signal curve and the power reference value through the VSG active-frequency loop and the angular frequency change Δω; Step 4: According to the system angular frequency change rate The angular frequency variation Δω and the voltage fluctuation value signal ΔV dc Dynamically adjust the virtual moment of inertia coefficient J of the VSG active-frequency loop to generate the actual angular frequency ω of the VSG inverter m The voltage reference value U is synthesized by combining the electromotive force E generated by the virtual synchronous generator with the reference voltage phase signal θ. ref ; Step 5: Set the voltage reference value U ref The signal is input into the control module of the photovoltaic energy storage grid-connected system to generate a PWM signal to control the VSG inverter.

2. The method for adaptively regulating and controlling a virtual synchronous generator according to claim 1, characterized in that: In step 4, the virtual moment of inertia coefficient of the VSG active power-frequency loop is dynamically adjusted according to the piecewise function, and the piecewise function is: Among them, J0 is the virtual moment of inertia coefficient value of the photovoltaic storage grid-connected system when it is in stable operation; Δt is the operation time of the photovoltaic storage grid-connected system; K0 is the threshold value of Δω change, K1 is the threshold value of dω / dt change, K0 and K1 are used to prevent the error caused by small disturbances; P jΔVdc =ΔV dc ·P j , P j represents the photovoltaic busbar capacitor voltage adjustment coefficient, j = 0, 1, 2, T i is the inertia time constant, i=1, 2, and s is the Laplace transformation operator.

3. The method for adaptively regulating and controlling a virtual synchronous generator according to claim 2, characterized in that: Setting of J0: During the stable operation of the photovoltaic and energy storage grid-connected system, the following conditions must be met: Among them, P max is the maximum active power output by the photovoltaic energy storage grid-connected system, and ω is the angular frequency.

4. The method for adaptively regulating and controlling a virtual synchronous generator according to claim 1, characterized in that: In the VSG active-frequency loop, the angular frequency ω of the VSG inverter is obtained by using the VSG virtual speed regulation equation and the VSG rotor motion equation. m With the reference voltage phase signal θ; The VSG virtual speed regulation equation is: m =P ref +K ω (ω0-ω m ) Where P m is the actual output mechanical power of VSG, P ref is the active power reference value, K ω is the active power-frequency droop control coefficient, ω0 is the rated angular velocity; The VSG rotor motion equation is: Where, T m is the VSG mechanical torque, T e is the VSG electromagnetic torque, and D is the VSG virtual damping coefficient.

5. The method for adaptively regulating and controlling a virtual synchronous generator according to claim 1, characterized in that: In the VSG active-frequency loop, the VSG stator electromagnetic equation is used to obtain the electromotive force E generated by the virtual synchronous generator. The VSG stator electromagnetic equation is: Where U is the inverter output voltage, I is the virtual synchronous generator stator current, R a is the virtual resistance, X a is the virtual inductance and j is the imaginary part.

6. The method for adaptively regulating and controlling a virtual synchronous generator according to claim 4, characterized in that: Setting of VSG virtual damping coefficient D: During the stable operation of the photovoltaic and energy storage grid-connected system, dω / dt=0 is satisfied, and the setting of D follows the inequality: Where: T mmax is the maximum mechanical torque of the system, ω max is the maximum angular frequency deviation allowed; ω ref is the reference angular frequency offset.

7. The method for adaptively regulating and controlling a virtual synchronous generator according to claim 1, characterized in that: Step 2 includes: The three-phase voltage U abc , three-phase current I abc And multiply the corresponding phase power factor to obtain the instantaneous power of each phase; The instantaneous powers of each phase are added together to obtain an instantaneous output power response signal, and a graph is drawn with the operating time as the horizontal coordinate and the output power as the vertical coordinate to obtain an output power response signal curve.

8. A computer-readable storage device storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the virtual synchronous generator adaptive regulation control method according to any one of claims 1 to 7 are implemented.

9. A virtual synchronous generator adaptive regulation control device, comprising a storage device, a processor, and a computer program stored in the storage device and executable on the processor, characterized in that: The processor executes the computer program to implement the steps of the virtual synchronous generator adaptive regulation control method according to any one of claims 1 to 7.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the virtual synchronous generator adaptive regulation control method as claimed in any one of claims 1 to 7 are implemented.

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