Adaptive network configuration control method, system, device and medium adaptive to phase angle jump

Abstract

This disclosure relates to the power sector and discloses an adaptive grid-connected control method, system, device, and medium for adapting to phase angle abrupt changes. The method includes: establishing a full-state oscillator model to generate the internal potential of the photovoltaic-storage grid-connected power source; establishing a phase angle adaptive model to correct the internal potential of the photovoltaic-storage grid-connected power source; and establishing a current inner-loop control model to control the stable operation of the photovoltaic-storage grid-connected power source based on the corrected internal potential. This disclosure enables photovoltaic energy storage systems to provide stable synchronous grid-connected characteristics under large phase angle abrupt changes, and allows microgrids containing a very high proportion of new energy sources to achieve flexible and reliable grid-connected / off-grid stable operation.

Description

Technical Field

[0001] This disclosure relates to the field of power technology, specifically to an adaptive grid control method, system, device, and medium for adapting to sudden phase angle changes. Background Technology

[0002] Grid-based control technology is a voltage source control strategy. Traditional grid-following control allows photovoltaic energy storage systems to only track AC voltage signals from the power grid to provide synchronous current injection. Under weak grid conditions, the weak synchronization characteristics of grid-following control limit the grid connection and transmission capacity of new energy sources and lead to more severe frequency and voltage fluctuations in the regional power grid, making it difficult to guarantee the operational stability and economy of new power systems characterized by high-penetration new energy sources.

[0003] In existing grid control systems, virtual oscillator control strategies exhibit near-global asymptotic synchronous stability compared to traditional synchronous machines. However, the conventional overcurrent constraint algorithms used in existing virtual oscillator control methods pose a risk of DC voltage instability when the grid voltage phase angle changes abruptly, and lack voltage source support characteristics under large disturbances. In actual operation, when a microgrid containing multiple grid-connected power sources is reconnected to the main grid from off-grid operation or reclosed after a line fault, it can cause abrupt changes in the phase of the photovoltaic-storage grid-connected voltage, leading to overcurrent and DC voltage surges in the grid-connected inverter. Summary of the Invention

[0004] This disclosure provides an adaptive network control method, system, device, and medium to adapt to sudden phase angle changes, in order to solve or alleviate one or more of the above-mentioned technical problems in the prior art.

[0005] According to one aspect of this disclosure, an adaptive network control method for adapting to sudden phase angle changes is provided, comprising:

[0006] A full-state oscillator model is established, and the internal potential of the photovoltaic-storage grid power supply is generated through the full-state oscillator model.

[0007] A phase angle adaptive model is established, and the internal potential of the photovoltaic-storage grid power supply is corrected through the phase angle adaptive model;

[0008] A current inner loop control model is established, which controls the stable operation of the photovoltaic-storage grid based on the internal potential of the modified power source.

[0009] In one possible implementation, the expression for the full-state oscillator model is:

[0010]

[0011]

[0012]

[0013]

[0014] κ = tan -1 (X g / R g (5);

[0015]

[0016] Where: vector It is the oscillator voltage, v oα and v oβ These are the α-axis and β-axis components of the oscillator voltage; vector. It is the grid connection point output current, i oα and i oβ The α-axis and β-axis components of the output current at the grid connection point; v dc The voltage of the photovoltaic array or energy storage battery on the DC side; Δω oc This is the phase angle adaptive correction value; R g For grid connection resistor; X g φ(v) is the grid-connected reactance; θ is the phase angle of the oscillator voltage; φ(v) is the phase angle of the oscillator voltage. m v dc ) represents the control function for voltage amplitude; K is the power reference matrix; ω o η is the oscillator frequency setpoint; μ is the active synchronization control parameter; λ is the amplitude control parameter; and v is the DC voltage control parameter. m =||v o || represents the AC voltage amplitude, and the operator ||·|| denotes the Euclidean norm; p * q * , and These are the set values ​​for active power, reactive power, DC voltage, and AC voltage amplitude, respectively; ω n is the rated frequency of the power grid; k is the line impedance parameter angle; J is defined as R(π / 2); matrix R is a two-dimensional rotation matrix.

[0017] In one possible implementation, the expression for the phase angle adaptive model is:

[0018]

[0019]

[0020]

[0021]

[0022] Δω oc =koc Δi * v fq (11);

[0023]

[0024] in: Y is an intermediate variable for inverter current command. αβ For the virtual impedance matrix Z vi The inverse matrix; vector It is the oscillator voltage; vector It is a grid connection point voltage measurement, v fα and v fβ R represents the α-axis and β-axis components of the grid connection point voltage. v and L v These are virtual resistance and virtual inductance, respectively; ω n The rated frequency of the power grid; vector It is the inverter current command; I max The maximum value of the overcurrent constraint; Δi * The degree of overcurrent constraint; Δω oc This is the phase angle adaptive correction value; k oc This is the phase angle adaptive parameter; v fq v is the q-axis component of the grid connection point voltage; fd θ represents the d-axis component of the grid connection point voltage; θ is the phase angle of the oscillator voltage.

[0025] In one possible implementation, the expression for the current inner loop control model is:

[0026]

[0027]

[0028] Where: ξ is the integral variable of the proportional resonant controller, ω o Set the oscillator frequency; vector It is the inverter current command; vector It is the inverter output current, i fα and i fβ These are the α-axis and β-axis components of the inverter output current, k p and k r These are the proportional control parameters and the resonant integral control parameters, respectively, and the vector... It is a grid connection point voltage measurement, v fα and v fβ L represents the α-axis and β-axis components of the grid connection point voltage. f For filter inductance; ω o Set the oscillator frequency; define J = R(π / 2); matrix R is a two-dimensional rotation matrix.

[0029] According to one aspect of this disclosure, an adaptive network configuration control system for adapting to phase angle abrupt changes is provided, comprising:

[0030] The first establishment unit is used to establish a full-state oscillator model and generate the internal potential of the power supply of the photovoltaic-storage grid through the full-state oscillator model.

[0031] The second establishment unit is used to establish a phase angle adaptive model, and to correct the internal potential of the photovoltaic-storage grid power supply through the phase angle adaptive model;

[0032] The third establishment unit is used to establish a current inner loop control model, which controls the stable operation of the photovoltaic-storage grid based on the internal potential of the modified photovoltaic-storage grid power supply.

[0033] In one possible implementation, the expression for the full-state oscillator model is:

[0034]

[0035]

[0036]

[0037]

[0038] κ = tan -1 (X g / R g (5);

[0039]

[0040] Where: vector It is the oscillator voltage, v oα and v oβ These are the α-axis and β-axis components of the oscillator voltage; vector. It is the grid connection point output current, i oα and i oβ The α-axis and β-axis components of the output current at the grid connection point; v dc The voltage of the photovoltaic array or energy storage battery on the DC side; Δω oc This is the phase angle adaptive correction value; R g For grid connection resistor; X g φ(v) is the grid-connected reactance; θ is the phase angle of the oscillator voltage; φ(v) is the phase angle of the oscillator voltage. m v dc ) represents the control function for voltage amplitude; K is the power reference matrix; ω o η is the oscillator frequency setpoint; μ is the active synchronization control parameter; λ is the amplitude control parameter; and v is the DC voltage control parameter.m =||v o || represents the AC voltage amplitude, and the operator ||·|| denotes the Euclidean norm; p * q * , and These are the set values ​​for active power, reactive power, DC voltage, and AC voltage amplitude, respectively; ω n is the rated frequency of the power grid; k is the line impedance parameter angle; J is defined as R(π / 2); matrix R is a two-dimensional rotation matrix.

[0041] In one possible implementation, the expression for the phase angle adaptive model is:

[0042]

[0043]

[0044]

[0045]

[0046] Δω oc =k oc Δi * v fq (11);

[0047]

[0048] in: Y is an intermediate variable for inverter current command. αβ For the virtual impedance matrix Z vi The inverse matrix; vector It is the oscillator voltage; vector It is a grid connection point voltage measurement, v fα and v fβ R represents the α-axis and β-axis components of the grid connection point voltage. v and L v These are virtual resistance and virtual inductance, respectively; ω n The rated frequency of the power grid; vector It is the inverter current command; I max The maximum value of the overcurrent constraint; Δi * The degree of overcurrent constraint; Δω oc This is the phase angle adaptive correction value; k oc This is the phase angle adaptive parameter; v fq v is the q-axis component of the grid connection point voltage; fd θ represents the d-axis component of the grid connection point voltage; θ is the phase angle of the oscillator voltage.

[0049] In one possible implementation, the expression for the current inner loop control model is:

[0050]

[0051]

[0052] Where: ξ is the integral variable of the proportional resonant controller, ω o Set the oscillator frequency; vector It is the inverter current command; vector It is the inverter output current, i fα and i fβ These are the α-axis and β-axis components of the inverter output current, k p and k r These are the proportional control parameters and the resonant integral control parameters, respectively, and the vector... It is a grid connection point voltage measurement, v fα and v fβ L represents the α-axis and β-axis components of the grid connection point voltage. f For filter inductance; ω o Set the oscillator frequency; define J = R(π / 2); matrix R is a two-dimensional rotation matrix.

[0053] According to one aspect of this disclosure, an apparatus is provided, comprising:

[0054] Processor and memory;

[0055] The memory is used to store computer programs, and the processor calls the computer programs stored in the memory to execute the adaptive network control method for adapting to phase angle changes as described above.

[0056] According to one aspect of this disclosure, a computer-readable storage medium is provided, wherein a computer program is stored therein, which, when executed by a processor, enables the processor to perform the adaptive network control method for adapting to phase angle abrupt changes as described above.

[0057] This disclosure has the following beneficial effects: It establishes a full-state oscillator model. By introducing an adaptive phase angle correction value into the oscillator's frequency setting, the internal potential of the grid-building algorithm can quickly recover synchronous stability during phase angle abrupt changes, avoiding the impact of energy exchange caused by phase angle differences on the DC bus capacitor, and preventing inverter disconnection caused by inverter overcurrent and DC bus voltage spikes. It also establishes a phase angle adaptive model to enhance the inverter's adaptability to phase angle abrupt changes and suppress transient overcurrents that may occur during grid-building control. Furthermore, it establishes a current inner-loop control model to control the stable operation of the photovoltaic-storage grid. In summary, this disclosure enables photovoltaic energy storage systems to provide stable synchronous grid-building characteristics under large phase angle abrupt changes, allowing microgrids containing a very high proportion of new energy sources to achieve flexible and reliable grid-connected / off-grid stable operation.

[0058] Details of one or more embodiments of this application are set forth in the following drawings and description. Other features and advantages of this application will become apparent from the accompanying drawings. It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not intended to limit this disclosure. Attached Figure Description

[0059] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure. It is obvious that the drawings described below are merely some embodiments of this disclosure, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort.

[0060] Figure 1 This is a flowchart of an adaptive network control method for adapting to sudden phase angle changes in this exemplary embodiment;

[0061] Figure 2 This is a block diagram illustrating the adaptive optical-storage network control principle for adapting to phase angle changes in this exemplary embodiment.

[0062] Figure 3 This is a block diagram of an adaptive network control system that adapts to sudden changes in phase angle, as exemplified in this embodiment.

[0063] Figure 4 This is a schematic diagram of the structure of a device according to an exemplary embodiment of this invention. Detailed Implementation

[0064] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided to make this disclosure more comprehensive and complete, and to fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a full understanding of embodiments of this disclosure. However, those skilled in the art will recognize that the technical solutions of this disclosure can be practiced with one or more of the specific details omitted, or other methods, components, apparatus, steps, etc., can be employed. In other instances, well-known technical solutions are not shown or described in detail to avoid obscuring various aspects of this disclosure.

[0065] Furthermore, the accompanying drawings are merely illustrative of this disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted. Some block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities may be implemented in software, in one or more hardware units or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0066] The flowchart shown in the attached diagram is merely an illustrative example and does not necessarily include all steps. For example, some steps may be broken down, while others may be combined or partially combined; therefore, the actual execution order may change depending on the specific circumstances.

[0067] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented, for example, in orders other than those illustrated or described herein.

[0068] Furthermore, the terms “comprising” and “having”, and any variations thereof, are intended to cover non-exclusive inclusion, such that a process, method, system, product, or device that includes a series of steps or sub-modules is not necessarily limited to those steps or sub-modules that are explicitly listed, but may include other steps or sub-modules that are not explicitly listed or that are inherent to such process, method, product, or device.

[0069] Figure 1 This is a flowchart of an adaptive network control method for adapting to sudden phase angle changes, as described in this exemplary embodiment. Figure 1As shown, an exemplary embodiment of this disclosure provides an adaptive network control method for adapting to sudden phase angle changes, including:

[0070] A full-state oscillator model is established, and the internal potential of the photovoltaic-storage grid power supply is generated through the full-state oscillator model. Specifically, the full-state oscillator model generates the internal potential of the photovoltaic-storage grid power supply, i.e., the oscillator voltage, through current measurement feedback.

[0071] A phase angle adaptive model is established to correct the internal potential of the photovoltaic-storage grid power supply. Specifically, the phase angle adaptive correction value is output through the phase angle adaptive model, and the internal potential of the photovoltaic-storage grid power supply is corrected through the phase angle adaptive correction value, so that the internal potential of the photovoltaic-storage grid power supply can quickly recover to synchronous stability when the phase angle changes abruptly.

[0072] A current inner loop control model is established, which controls the stable operation of the photovoltaic-storage grid based on the internal potential of the modified photovoltaic-storage grid power supply. Specifically, the current inner loop control model outputs inverter voltage commands based on the modified internal potential of the photovoltaic-storage grid power supply. The inverter voltage commands directly control the inverter node voltage through PWM signals, thereby enabling the stable operation of the photovoltaic-storage grid.

[0073] This embodiment proposes an adaptive photovoltaic-storage network control method to adapt to sudden phase angle changes. It mainly consists of three models: phase angle adaptation, a full-state oscillator, and current inner-loop control. Figure 2 As shown, where v dc i dc For the voltage and current of the photovoltaic array or energy storage battery on the DC side, parameter C dc For DC bus capacitor, L f and C f For the filter inductor and filter capacitor, R g +jX g Represented by grid-connected resistor R g and grid-connected reactor X g The grid-connected impedance, v g For grid voltage, vector It is the oscillator voltage, v oα and v oβ The vector represents the α-axis and β-axis components of the oscillator voltage. It is the inverter voltage command, V iα and v iβ The vector represents the α-axis and β-axis components of the inverter voltage command. It is a grid connection point voltage measurement, v fα and v fβ The vector represents the α-axis and β-axis components of the grid connection point voltage. It is the inverter output current, i fα and ifβ These are the α-axis and β-axis components of the inverter output current, vectors. It is an intermediate variable for inverter current command, a vector. It is the inverter current command, vector. It is the grid connection point output current, i oα and i oβ These represent the α-axis and β-axis components of the output current at the grid connection point. θ is the phase angle of the oscillator voltage, v fq It is the q-axis component of the grid connection point voltage, k oc Δi is the phase angle adaptive parameter. * To determine the degree of overcurrent constraint, Δω oc This is the phase angle adaptive correction value. The specific implementation steps are as follows:

[0074] (1) Establish a full-state oscillator model:

[0075] The full-state oscillator model generates the internal potential of the grid power supply, i.e., the oscillator voltage, through current measurement feedback, as follows:

[0076]

[0077]

[0078]

[0079]

[0080] Where K is the power reference matrix, ω o Here, η is the oscillator frequency setpoint, μ is the active synchronization control parameter, λ is the amplitude control parameter, and v is the DC voltage control parameter. m =||v o || represents the AC voltage amplitude, and the operator ||·|| denotes the Euclidean norm, p * q * , These are the set values ​​for active power, reactive power, DC voltage, and AC voltage amplitude, respectively, ω n Let be the rated frequency of the power grid, and κ be the line impedance parameter angle, defined as:

[0081] k = tan -1 (X g / R g (5);

[0082] Matrix R is a two-dimensional rotation matrix, defined as:

[0083]

[0084] Specifically, J is defined as R(π / 2).

[0085] By setting the frequency ω of the oscillator o Introducing an adaptive phase angle correction value Δω oc This allows the internal potential of the grid-connected algorithm to quickly recover synchronous stability during sudden phase angle changes, avoiding the impact of energy exchange caused by phase angle differences on the DC bus capacitor and preventing inverter disconnection due to inverter overcurrent and DC bus voltage spikes. It is important to note that the core of this method is to use adaptive frequency adjustment to give the grid-connected control algorithm stronger transient stability and adaptability to large disturbances caused by sudden phase angle changes in the power grid. This design can also be used similarly for traditional grid-connected control methods such as virtual synchronous machines, droop control, and power synchronization control.

[0086] (2) Establish a phase angle adaptive model:

[0087] To enhance the inverter's adaptability to sudden phase angle changes and suppress transient overcurrents that may occur during grid control, the following phase angle adaptive method is designed, firstly with the voltage inner loop control:

[0088]

[0089] Where Y αβ For the virtual impedance matrix Z vi The inverse matrix, i.e.:

[0090]

[0091] Where R v and L v These are virtual resistors and virtual inductors, used to adjust the stability of small disturbances and harmonic suppression characteristics of the network control.

[0092] Intermediate variables for inverter current command Limiting the amplitude:

[0093]

[0094] vector It is an inverter current command;

[0095] Where I max This represents the maximum value of the overcurrent constraint. The degree of overcurrent constraint Δi is defined. * for:

[0096]

[0097] Under normal operating conditions, Δi * =0. When a large disturbance occurs in the phase angle, the intermediate variable of the current command will exceed the maximum value of the overcurrent constraint. Therefore, the adaptive correction value of the phase angle is defined as:

[0098] Δω oc=k oc Δi * v fq (11);

[0099] The q-axis component v of the grid connection point voltage fq It is obtained through coordinate transformation, which is expressed by the formula:

[0100]

[0101] (3) Establish the current inner loop control model:

[0102] The inner current control uses a proportional resonant (PR) controller in a rotating coordinate system.

[0103]

[0104]

[0105] Where ξ is the integral variable of the proportional resonant controller, k p and k r These are the proportional control parameters and the resonant integral control parameters, respectively. Inverter voltage command v i The inverter node voltage is controlled directly through the PWM signal.

[0106] Figure 3 This is a block diagram of an adaptive network control system for adapting to sudden changes in phase angle, as described in this exemplary embodiment. Figure 3 As shown, an exemplary embodiment of this disclosure provides an adaptive network control system that adapts to sudden changes in phase angle, comprising:

[0107] The first establishment unit is used to establish a full-state oscillator model and generate the internal potential of the power supply of the photovoltaic-storage grid through the full-state oscillator model.

[0108] The second establishment unit is used to establish a phase angle adaptive model, and to correct the internal potential of the photovoltaic-storage grid power supply through the phase angle adaptive model;

[0109] The third establishment unit is used to establish a current inner loop control model, which controls the stable operation of the photovoltaic-storage grid based on the internal potential of the modified photovoltaic-storage grid power supply.

[0110] Specifically, the expression for the full-state oscillator model is:

[0111]

[0112]

[0113]

[0114]

[0115] κ = tan -1 (X g / R g (5);

[0116]

[0117] Where: vector It is the oscillator voltage, v oα and v oβ These are the α-axis and β-axis components of the oscillator voltage; vector. It is the grid connection point output current, i oα and i oβ The α-axis and β-axis components of the output current at the grid connection point; v dc The voltage of the photovoltaic array or energy storage battery on the DC side; Δω oc This is the phase angle adaptive correction value; R g For grid connection resistor; X g φ(v) is the grid-connected reactance; θ is the phase angle of the oscillator voltage; φ(v) is the phase angle of the oscillator voltage. m v dc ) represents the control function for voltage amplitude; K is the power reference matrix; ω o η is the oscillator frequency setpoint; μ is the active synchronization control parameter; λ is the amplitude control parameter; and v is the DC voltage control parameter. m =||v o || represents the AC voltage amplitude, and the operator ||·|| denotes the Euclidean norm; p * q * , and These are the set values ​​for active power, reactive power, DC voltage, and AC voltage amplitude, respectively; ω n κ is the rated frequency of the power grid; J is the line impedance parameter angle; J = R(π / 2); matrix R is a two-dimensional rotation matrix.

[0118] Specifically, the expression for the phase angle adaptive model is:

[0119]

[0120]

[0121]

[0122]

[0123] Δω oc =k oc Δi * v fq (11);

[0124]

[0125] in: Y is an intermediate variable for inverter current command. αβ For the virtual impedance matrix Z vi The inverse matrix; vector It is the oscillator voltage; vector It is a grid connection point voltage measurement, v fα and v fβ R represents the α-axis and β-axis components of the grid connection point voltage. v and L v These are virtual resistance and virtual inductance, respectively; ω n The rated frequency of the power grid; vector It is the inverter current command; I max The maximum value of the overcurrent constraint; Δi * The degree of overcurrent constraint; Δω oc This is the phase angle adaptive correction value; k oc This is the phase angle adaptive parameter; v fq v is the q-axis component of the grid connection point voltage; fd θ represents the d-axis component of the grid connection point voltage; θ is the phase angle of the oscillator voltage.

[0126] Specifically, the expression for the current inner loop control model is:

[0127]

[0128]

[0129] Where: ξ is the integral variable of the proportional resonant controller, ω o Set the oscillator frequency; vector It is the inverter current command; vector It is the inverter output current, i fα and i fβ These are the α-axis and β-axis components of the inverter output current, k p and k r These are the proportional control parameters and the resonant integral control parameters, respectively, and the vector... It is a grid connection point voltage measurement, v fα and v fβ L represents the α-axis and β-axis components of the grid connection point voltage. f For filter inductance; ω o Set the oscillator frequency; define J = R(π / 2); matrix R is a two-dimensional rotation matrix.

[0130] Figure 4 This is a schematic diagram of the structure of a device according to an exemplary embodiment of this invention. Figure 4 As shown, corresponding to the adaptive meshing control method for adapting to phase angle abrupt changes provided above, this disclosure also provides a device. Since the embodiment of this device is similar to the embodiment of the method described above, the description is relatively simple; relevant details can be found in the description of the embodiment of the method above. The device described below is merely illustrative. The device may include: a processor 1, a memory 2, a communication bus (i.e., the aforementioned device bus), and a lookup engine. The processor 1 and the memory 2 communicate with each other via the communication bus and communicate with external systems via a communication interface. The processor 1 can call logical instructions in the memory 2 to execute the adaptive meshing control method for adapting to phase angle abrupt changes.

[0131] Furthermore, the logical instructions in the aforementioned memory 2 can be implemented as software functional units and sold or used as independent products, and can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this disclosure, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this disclosure. The aforementioned storage medium includes various media capable of storing program code, such as memory chips, USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0132] On the other hand, this disclosure also provides a processor-readable storage medium storing a computer program 3, which, when executed by a processor 1, is implemented to perform the adaptive network control method for adapting to phase angle changes provided in the above embodiments.

[0133] The processor-readable storage medium can be any available medium or data storage device that the processor 1 can access, including but not limited to magnetic memory (e.g., floppy disk, hard disk, magnetic tape, magneto-optical disk (MO)), optical memory (e.g., CD, DVD, BD, HVD), and semiconductor memory (e.g., ROM, EPROM, EEPROM, non-volatile memory (NAND FLASH), solid-state drive (SSD)).

[0134] The above are merely preferred embodiments of this disclosure. The scope of protection of this disclosure is not limited to the above embodiments. All technical solutions falling within the scope of this disclosure are protected. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of this disclosure should be considered within the scope of protection of this disclosure.

Claims

1. An adaptive network control method for adapting to sudden phase angle changes, characterized in that, include: A full-state oscillator model is established, and the internal potential of the photovoltaic-storage grid power supply is generated through the full-state oscillator model. A phase angle adaptive model is established, and the internal potential of the photovoltaic-storage grid power supply is corrected through the phase angle adaptive model; A current inner loop control model is established, which controls the stable operation of the photovoltaic-storage grid based on the internal potential of the modified power source.

2. The adaptive network control method for adapting to sudden phase angle changes according to claim 1, characterized in that, The expression for the full-state oscillator model is: κ=tan -1 (X g / R g ) (5); Where: vector It is the oscillator voltage, υ oα and υ oβ These are the α-axis and β-axis components of the oscillator voltage; vector. It is the grid connection point output current, i oα and i oβ The α-axis and β-axis components of the output current at the grid connection point; υ dc The voltage of the photovoltaic array or energy storage battery on the DC side; Δω oc This is the phase angle adaptive correction value; R g For grid connection resistor; X g φ is the grid-connected reactance; θ is the phase angle of the oscillator voltage; φ(υ m υ dc ) represents the control function for voltage amplitude; K is the power reference matrix; ω o η is the oscillator frequency setpoint; μ is the active synchronization control parameter; λ is the amplitude control parameter; υ is the DC voltage control parameter; m =||υ o || represents the AC voltage amplitude, and the operator ||·|| denotes the Euclidean norm; p * q * , and These are the set values ​​for active power, reactive power, DC voltage, and AC voltage amplitude, respectively; ω n κ is the rated frequency of the power grid; J is the line impedance parameter angle; J = R(π / 2); matrix R is a two-dimensional rotation matrix.

3. The adaptive network control method for adapting to sudden phase angle changes according to claim 1, characterized in that, The expression for the phase angle adaptive model is: Give oc =k oc Two fq (11); in: Y is an intermediate variable for inverter current command. αβ For the virtual impedance matrix Z υi The inverse matrix; vector It is the oscillator voltage; vector It is a grid connection point voltage measurement, υ fα and υ fβ R represents the α-axis and β-axis components of the grid connection point voltage. υ and L υ These are virtual resistance and virtual inductance, respectively; ω n The rated frequency of the power grid; vector. It is the inverter current command; I max The maximum value of the overcurrent constraint; Δi * The degree of overcurrent constraint; Δω oc This is the phase angle adaptive correction value; k oc The phase angle adaptive parameter; υ fq υ is the q-axis component of the grid connection point voltage; fd θ represents the d-axis component of the grid connection point voltage; θ is the phase angle of the oscillator voltage.

4. The adaptive network control method for adapting to sudden phase angle changes according to claim 1, characterized in that, The expression for the current inner loop control model is: Where: ξ is the integral variable of the proportional resonant controller, ω o Set the oscillator frequency; vector It is the inverter current command; vector It is the inverter output current, i fα and i fβ These are the α-axis and β-axis components of the inverter output current, k p and k r These are the proportional control parameters and the resonant integral control parameters, respectively, and the vector... It is a grid connection point voltage measurement, υ fα and υ fβ L represents the α-axis and β-axis components of the grid connection point voltage. f For filter inductance; ω o Set the oscillator frequency; define J = R(π / 2); matrix R is a two-dimensional rotation matrix.

5. An adaptive network control system that adapts to sudden changes in phase angle, characterized in that, include: The first establishment unit is used to establish a full-state oscillator model and generate the internal potential of the power supply of the photovoltaic-storage grid through the full-state oscillator model. The second establishment unit is used to establish a phase angle adaptive model, and to correct the internal potential of the photovoltaic-storage grid power supply through the phase angle adaptive model; The third establishment unit is used to establish a current inner loop control model, which controls the stable operation of the photovoltaic-storage grid based on the internal potential of the modified photovoltaic-storage grid power supply.

6. The adaptive network control system for adapting to sudden phase angle changes according to claim 5, characterized in that, The expression for the full-state oscillator model is: κ=tan -1 (X g / R g ) (5); Where: vector It is the oscillator voltage, υ oα and υ oβ These are the α-axis and β-axis components of the oscillator voltage; vector. It is the grid connection point output current, i oα and i oβ The α-axis and β-axis components of the output current at the grid connection point; υ dc The voltage of the photovoltaic array or energy storage battery on the DC side; Δω oc This is the phase angle adaptive correction value; R g For grid connection resistor; X g φ is the grid-connected reactance; θ is the phase angle of the oscillator voltage; φ(υ m υ dc ) is the power reference matrix; K is the power reference matrix; ω o η is the oscillator frequency setpoint; μ is the active synchronization control parameter; λ is the amplitude control parameter; υ is the DC voltage control parameter; m =||υ o || represents the AC voltage amplitude, and the operator ||·|| denotes the Euclidean norm; p * q * , and These are the set values ​​for active power, reactive power, DC voltage, and AC voltage amplitude, respectively; ω n is the rated frequency of the power grid; k is the line impedance parameter angle; J is defined as R(π / 2); matrix R is a two-dimensional rotation matrix.

7. The adaptive network control system for adapting to sudden phase angle changes according to claim 5, characterized in that, The expression for the phase angle adaptive model is: Give oc =k oc Two fq (11); in: Y is an intermediate variable for inverter current command. αβ For the virtual impedance matrix Z υi The inverse matrix; vector It is the oscillator voltage; vector It is a grid connection point voltage measurement, υ fα and υ fβ R represents the α-axis and β-axis components of the grid connection point voltage. υ and L υ These are virtual resistance and virtual inductance, respectively; ω n The rated frequency of the power grid; vector. It is the inverter current command; I max The maximum value of the overcurrent constraint; Δi * The degree of overcurrent constraint; Δω oc This is the phase angle adaptive correction value; k oc The phase angle adaptive parameter; υ fq υ is the q-axis component of the grid connection point voltage; fd θ represents the d-axis component of the grid connection point voltage; θ is the phase angle of the oscillator voltage.

8. The adaptive network control system for adapting to sudden phase angle changes according to claim 5, characterized in that, The expression for the current inner loop control model is: Where: ξ is the integral variable of the proportional resonant controller, ω o Set the oscillator frequency; vector It is the inverter current command; vector It is the inverter output current, i fα and i fβ These are the α-axis and β-axis components of the inverter output current, k p and k r These are the proportional control parameters and the resonant integral control parameters, respectively, and the vector... It is a grid connection point voltage measurement, υ fα and υ fβ L represents the α-axis and β-axis components of the grid connection point voltage. f For filter inductance; ω o Set the oscillator frequency; define J = R(π / 2); matrix R is a two-dimensional rotation matrix.

9. A device, characterized in that, include: Processor and memory; The memory is used to store computer programs, and the processor calls the computer programs stored in the memory to execute the adaptive network control method for adapting to phase angle changes as described in any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, enables the processor to perform the adaptive network control method for adapting to phase angle mutations as described in any one of claims 1 to 4.

Images