Method and device for determining parametric stability performance of a hybrid system based on interaction power

Abstract

The application belongs to the technical field of power system control, and provides a parameter stability performance determination method and device for a hybrid system based on interactive power, which comprises: generating an equivalent circuit of a hybrid system containing a grid-following new energy station and a grid-forming energy storage power station; wherein the grid-following new energy station is equivalent to a controlled current source in the equivalent circuit, and the grid-forming energy storage power station is equivalent to a controlled voltage source in the equivalent circuit; generating a transient model of the hybrid system according to the equivalent circuit; and determining the parameter stability of the hybrid system through the interactive power between the controlled current source and the controlled voltage source in the transient model. The method provided by the application reveals the influence of the interactive power of the hybrid system on the parameter stability, and provides theoretical support and practical tools for the safe and stable operation of the hybrid system.

Description

Technical Field

[0001] This application belongs to the field of power system control technology, particularly the field of control technology for hybrid systems composed of grid-connected new energy power plants and grid-connected energy storage power plants. Specifically, it is a method and device for determining the parameter stability performance of a hybrid system based on interactive power. Background Technology

[0002] In recent years, the power system has been undergoing transformation towards a green and low-carbon direction. Traditional power systems are typically dominated by thermal power generation, resulting in a high equivalent grid strength. However, with the shift towards renewable energy sources such as photovoltaics and wind power as the main energy sources, the safety and stability margin of the new power system is reduced due to the indirect and random characteristics of renewable energy, as well as the low rotor inertia of the accompanying power electronic equipment. This poses new challenges to the safe and stable operation of the system.

[0003] In existing technologies, photovoltaic and wind power plants typically employ grid-following converters (GFLs). Grid-following control utilizes a phase-locked loop (PLL) to lock the amplitude and phase of the grid connection voltage, achieving frequency and phase synchronization. Simultaneously, current or power control is used to inject current and power into the system at a constant rate according to command values. However, as the scale and proportion of new energy power plants increase, the equivalent electrical distance between the generator and the grid side widens, reducing the grid strength of the system, which is typically determined by the short-circuit ratio (SCR). When the SCR is low, the PLL, due to the inherent characteristics of its control structure, generally experiences oscillation and instability when the equivalent impedance is high. Therefore, a single grid-following converter is not suitable for the current weak grid conditions.

[0004] Currently, a common approach to addressing the instability issue of grid-connected renewable energy power plants is to add an additional grid-connected energy storage power station. Grid-connected energy storage power stations employ grid-connected control converters. Grid-connected control actively maintains system voltage and frequency stability by simulating the power generation patterns and external characteristics of traditional thermal power units, compensating for the shortcomings of grid-connected control. Mainstream grid-connected control methods include droop control (DP) and virtual synchronous generator (VSG). Droop control can simulate the droop characteristics of synchronous generators, enabling stable parallel operation of multiple generators and flexible power distribution. Virtual synchronous generator control can simulate the rotor kinetic energy of synchronous generators, effectively increasing the damping and inertia of the power plant and enhancing the system's active support capability. Considering that VSG control can provide more inertia and damping than droop control, VSG control is often used for grid-connected converters in research on grid-connected / parallel-connected hybrid systems. Simultaneously, the energy storage system provides the necessary energy source for the grid-connected control structure, achieving dynamic power support for the grid-connected inverter and transient grid stability. However, there are significant differences in the control structures between grid-based control and hybrid grid-connected control. Converters under these two different control methods will inevitably interact with each other. Considering that power systems will likely exhibit a coexistence of grid-based and hybrid grid-connected systems for a long time to come, modeling and exploring the stability of such hybrid systems has become a major research topic.

[0005] In studying hybrid systems of grid-connected renewable energy power plants and grid-connected energy storage power plants, the generators of both power plants and storage plants are typically simulated as a two-unit grid-connected system using single-unit equivalent generators. The grid-connected renewable energy power plant is equivalent to an ideal current source, and the grid-connected energy storage power plant is equivalent to an ideal voltage source. When a transient fault occurs in the system, due to the differences in the control structures of the grid-connected and grid-connected converters, their transient stability differs significantly. Complex interactions occur between the converters during transient processes, leading to a weakening of the transient stability performance of the converter branches and ultimately causing overall instability in the hybrid system. However, current research on grid-connected and grid-connected hybrid systems is still insufficient, especially regarding the unclear interaction mechanisms within these systems. The relationship between these interactions and transient stability requires further systemic analysis. Therefore, analyzing the interaction mechanisms in grid-connected and grid-connected hybrid systems is a pressing technical problem that needs to be addressed in the existing technology.

[0006] Currently, there are no specific standards for grid-connected and grid-based hybrid systems. However, several existing standards and industry specifications, such as GB / T34120-2023 "Technical Requirements for Energy Storage Converters in Electrochemical Energy Storage Systems" and "Test Specifications for Grid-based Energy Storage Converters," impose universal requirements on core indicators of converters, including power transmission capacity, active support function, and fault ride-through capability. These standards enforce transient performance requirements for individual units in hybrid systems and indirectly cover the transient performance needs of the entire hybrid system. However, due to the complex interactions between converters in hybrid systems, the influence mechanism of different control parameters and line parameters on these interactions needs further investigation. Furthermore, the impact of changes in control parameters and line parameters on these interactions and their subsequent influence on the transient stability of the hybrid system is also relatively poorly studied, representing a significant research challenge.

[0007] In summary, the following shortcomings were identified in the transient stability analysis method for hybrid systems of grid-connected new energy power plants and grid-connected energy storage power plants: First, a transient model describing the hybrid system using mathematical derivation has not yet been developed. Second, the underlying mechanism of interaction in hybrid systems is unclear, and the relationship between interaction and transient stability needs further investigation. Third, the mechanism by which control parameters and lines affect the interaction is unclear, and how they further affect the transient stability of the hybrid system also needs to be summarized. Summary of the Invention

[0008] The present invention provides a method for determining the parameter stability performance of a hybrid system based on interactive power, which aims to solve at least some of the above-mentioned technical problems.

[0009] Another object of the present invention is to provide a device for determining the parameter stability performance of a hybrid system based on interactive power. A further object of the present invention is to provide an electronic device comprising a memory and a processor, wherein the memory stores a computer program, and the processor, when executing the computer program, implements the steps of the above-described method for determining the parameter stability performance of a hybrid system based on interactive power. A further object of the present invention is to provide a readable medium storing a computer program thereon, wherein the computer program, when executed by a processor, implements the steps of the above-described method for determining the parameter stability performance of a hybrid system based on interactive power.

[0010] In a first aspect, the present invention provides a method for determining the parameter stability performance of a hybrid system based on interactive power, the method comprising: An equivalent circuit is generated for a hybrid system containing grid-connected new energy power stations and grid-connected energy storage power stations; wherein, the grid-connected new energy power stations are equivalent to controlled current sources in the equivalent circuit, and the grid-connected energy storage power stations are equivalent to controlled voltage sources in the equivalent circuit. Generate a transient model of the hybrid system based on the equivalent circuit; The parameter stability of the hybrid system is determined by the interaction power between the controlled current source and the controlled voltage source in the transient model.

[0011] In some embodiments of this application, generating the equivalent circuit of a hybrid system containing grid-connected renewable energy power stations and grid-connected energy storage power stations includes: The controlled current source and the controlled voltage source are connected to a common coupling point via transmission lines of different lengths; wherein the common coupling point is connected to the power grid. The controlled current source and the controlled voltage source connected to the common coupling point are fed into the power grid to generate the equivalent circuit.

[0012] In some embodiments of this application, generating a transient model of the hybrid system based on the equivalent circuit includes: The power angle differential equation of the controlled current source, the equivalent rotor motion equation of the controlled voltage source, and the port voltage equation are generated based on the equivalent circuit. The transient model is generated based on the power angle differential equation, the equivalent rotor motion equation, and the port voltage equation.

[0013] In some embodiments of this application, the generation of the power angle differential equation of the controlled current source, the equivalent rotor motion equation of the controlled voltage source, and the port voltage equation based on the equivalent circuit includes: Determine the voltage equation of the equivalent circuit; The voltage vector of the common coupling point, the port voltage of the controlled current source, and the line current of the controlled voltage source are determined according to the voltage equation. The power angle differential equation, the equivalent rotor motion equation, and the port voltage equation are generated based on the voltage vector, the port voltage, and the line current.

[0014] In some embodiments of this application, the generation of the power angle differential equation, the equivalent rotor motion equation, and the port voltage equation based on the voltage vector, the port voltage, and the line current includes: The active power and reactive power of the controlled voltage source are determined based on the voltage vector, the port voltage, and the line current. The power angle differential equation, the equivalent rotor motion equation, and the port voltage equation are generated based on the voltage vector, the port voltage, the line current, the active power, and the reactive power.

[0015] In some embodiments of this application, the parameters of the hybrid system include: the phase-locked loop ratio and integral parameters of the converter of the grid-connected new energy power station, and the inertia coefficient and damping parameters of the active power loop of the grid-connected energy storage power station.

[0016] Secondly, the present invention provides a parameter stability performance determination device for a hybrid system based on interactive power, the device comprising: An equivalent circuit generation module is used to generate an equivalent circuit for a hybrid system containing grid-connected new energy power stations and grid-connected energy storage power stations; wherein, the grid-connected new energy power stations are equivalent to controlled current sources in the equivalent circuit, and the grid-connected energy storage power stations are equivalent to controlled voltage sources in the equivalent circuit. A transient model generation module is used to generate a transient model of the hybrid system based on the equivalent circuit. The parameter stability determination module is used to determine the parameter stability of the hybrid system by means of the interaction power between the controlled current source and the controlled voltage source in the transient model.

[0017] In some embodiments of this application, the equivalent circuit generation module includes: A source connection unit is used to connect the controlled current source and the controlled voltage source to a common coupling point through transmission lines of different lengths; wherein the common coupling point is connected to the power grid; An equivalent circuit generation unit is used to feed the controlled current source and the controlled voltage source connected to the common coupling point into the power grid to generate the equivalent circuit.

[0018] In some embodiments of this application, the transient model generation module includes: The equation generation unit is used to generate the power angle differential equation of the controlled current source, the equivalent rotor motion equation of the controlled voltage source, and the port voltage equation based on the equivalent circuit. The transient model generation unit is used to generate the transient model based on the power angle differential equation, the equivalent rotor motion equation, and the port voltage equation.

[0019] In some embodiments of this application, the equation generation unit includes: A voltage equation determining unit is used to determine the voltage equation of the equivalent circuit; The parameter determination unit is used to determine the voltage vector of the common coupling point, the port voltage of the controlled current source, and the line current of the controlled voltage source according to the voltage equation. The equation generation first sub-unit is used to generate the power angle differential equation, the equivalent rotor motion equation, and the port voltage equation based on the voltage vector, the port voltage, and the line current.

[0020] In some embodiments of this application, the equation generation of the first subunit includes: A power determination unit is used to determine the active power and reactive power of the controlled voltage source based on the voltage vector, the port voltage, and the line current. The equation generation second sub-unit is used to generate the power angle differential equation, the equivalent rotor motion equation, and the port voltage equation based on the voltage vector, the port voltage, the line current, the active power, and the reactive power.

[0021] Thirdly, the present invention provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the steps of a method for determining the parameter stability performance of a hybrid system based on interactive power.

[0022] Fourthly, the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of a method for determining the parameter stability performance of a hybrid system based on interactive power.

[0023] Fifthly, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of a method for determining the parameter stability performance of a hybrid system based on interactive power.

[0024] As described above, embodiments of the present invention provide a method and apparatus for determining the parameter stability performance of a hybrid system based on interactive power. First, an equivalent circuit is generated for the hybrid system containing grid-connected renewable energy power plants and grid-connected energy storage power plants. In this equivalent circuit, the grid-connected renewable energy power plants are equivalently represented as controlled current sources, and the grid-connected energy storage power plants are equivalently represented as controlled voltage sources. Next, a transient model of the hybrid system is generated based on the equivalent circuit. Finally, the parameter stability of the hybrid system is determined by the interactive power between the controlled current source and the controlled voltage source in the transient model.

[0025] In summary, the method provided by this invention deeply reveals the impact of interactive power on parameter stability in hybrid systems, and determines the impact of progressive interactive power on transient power angle, voltage, and stability by analyzing phase-locked loop and synchronization loop parameters and line parameters. This invention provides theoretical support and practical tools for the safe and stable operation of hybrid systems. Attached Figure Description

[0026] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0027] Figure 1 This is a flowchart illustrating a method for determining the parameter stability performance of a hybrid system based on interactive power, as described in an embodiment of the present invention. Figure 2 This is a schematic diagram of the equivalent circuit and control framework of the hybrid system in an embodiment of the present invention; Figure 3 This is a flowchart illustrating step 100 in an embodiment of the present invention; Figure 4 This is a flowchart illustrating step 200 in an embodiment of the present invention; Figure 5 This is a flowchart illustrating step 201 in an embodiment of the present invention; Figure 6 This is a flowchart illustrating step 2013 in an embodiment of the present invention; Figure 7 As described in the embodiments of the present invention X GFL , X GFM ,and X g A schematic diagram of the transient analysis path under change; Figure 8 This is a schematic diagram of a transient model of a root / structure hybrid system considering interactions in an embodiment of the present invention; Figure 9 As described in the embodiments of the present invention k p , k i , J and D A schematic diagram of the transient analysis path under change; Figure 10 This is a flowchart illustrating a method for determining the parameter stability performance of a hybrid system based on interactive power, according to a specific embodiment of the present invention. Figure 11 This is a schematic diagram illustrating the influence mechanism of transient power angle and voltage of the GFL / GFM hybrid system parameters in a specific embodiment of the present invention; Figure 12 This is a block diagram of a parameter stability performance determination device for a hybrid system based on interactive power, as described in an embodiment of the present invention. Figure 13This is a block diagram of the equivalent circuit generation module 10 in an embodiment of the present invention; Figure 14 This is a block diagram of the transient model generation module 20 in an embodiment of the present invention; Figure 15 This is a block diagram of the equation generation unit 20a in an embodiment of the present invention; Figure 16 A block diagram of the first subunit package 20a3 generated in the process of an embodiment of the present invention; Figure 17 This is a schematic diagram of the structure of an electronic device in an embodiment of the present invention. Detailed Implementation

[0028] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0029] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0030] It should be noted that the terms "comprising" and "having," and any variations thereof, in the specification, claims, and accompanying drawings of this application are intended to cover a non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not necessarily limited to those explicitly listed, but may include other steps or units not explicitly listed or inherent to these processes, methods, products, or apparatuses. Without conflict, the embodiments and features in the embodiments of this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0031] Existing technologies include the following methods: establishing a transient interaction model for a grid-connected hybrid system, analyzing the interactions between units based on the model, analyzing the impact on power angle and frequency stability, and designing control modifications for the grid-connected and grid-connected converters based on the analysis results to improve the transient stability of the hybrid system. However, few methods comprehensively analyze and summarize the impact of various parameters on the interactions, and how to influence the transient stability of the hybrid system by affecting the interactions.

[0032] Current research on coordinated control and system modeling of hybrid systems with interconnected networks is as follows: Method 1: This method addresses the impact of the ratio of grid-connected and grid-connected converters in a mixed grid-connected system on stability. It also analyzes the key influencing factors of the lower limit of the ratio of grid-connected converters in the mixed system and obtains the stability boundary of the ratio under the constraints of each influencing factor. Method 2: The key conditions for the stability of the GFL-GFM hybrid system were derived, key quantities characterizing the stability and strength of the hybrid system were defined, and the influence of converter parameters and capacity ratio on the stability of the hybrid system was further revealed. Method 3: To address key issues such as stability, power quality, and grid integration of new energy sources in the power system, a coordinated control strategy for grid-connected energy storage and grid-built energy storage was designed. Method 4: The interaction mechanism of the internal control loops of grid-type and interconnected grid-type converters was analyzed, aiming to reveal the dynamic characteristics of the interconnected system; Method 5: Establish a transient coupling model of the hybrid system considering the GFM-VSC limiting stage, and analyze the influence mechanism of GFL-VSC parameters on the switching of GFM-VSC operating mode during and after the fault is cleared. Method 6: Establish a mathematical model for transient stability analysis of the hybrid system under fault conditions, and use the spatial vector diagram method and phase plane method to analyze the influence of factors such as the injected current of the grid-connected new energy power generation unit, the phase-locked loop parameters, and the active power control loop parameters of the grid-connected new energy power generation unit on the transient synchronization stability of each power generation unit in the hybrid system. Method 7: A stability analysis model and an interaction analysis model for parallel systems of grid-connected and grid-connected converters connected to a weak power grid were established, and self-influence components and mutual influence components were defined to quantify the degree of interaction between grid-connected and grid-connected converters. Method 8: A large-signal equivalent model of a grid-connected multi-machine parallel system of grid-connected converters with external interaction and internal coupling of active and reactive power was established. By comparing the size of the stability domain, the influence of control parameters and grid parameters on the transient synchronization stability boundary of the grid-connected multi-machine system was quantified. Method 9: Two distinct damping effects introduced by the GFL and GFM algorithms were identified, and a transient stability criterion applicable to hybrid systems was proposed, which can directly identify the critical fault clearing point without any repeated iterations. Method 10: A novel long-range power angle estimation method is proposed to evaluate the transient stability of hybrid systems with and without grids. Method 11: A general model for hybrid GFM / GFL multi-VSC systems was established for power oscillation analysis, which can evaluate the effectiveness of control modification methods; Method 12: The influence of phase-locked loop on the stability of small signals in a hybrid system was analyzed, and an intrinsic mechanism of bandwidth was proposed.

[0033] In summary, existing research on hybrid grid systems is limited. Considering the significant harm that overcurrent and overvoltage effects in hybrid systems can cause to converter devices with limited overload capacity, this application focuses on analyzing the impact of control parameters and coupling terms of hybrid systems on current and voltage. Therefore, embodiments of this invention provide a specific implementation of a method for determining the parameter stability performance of a hybrid system based on interactive power, see [link to implementation details]. Figure 1 The method includes: Step 100: Generate the equivalent circuit of the hybrid system containing grid-connected new energy power stations and grid-connected energy storage power stations; wherein, the grid-connected new energy power stations are equivalent to controlled current sources in the equivalent circuit, and the grid-connected energy storage power stations are equivalent to controlled voltage sources in the equivalent circuit. Step 200: Generate a transient model of the hybrid system based on the equivalent circuit; Step 300: Determine the parameter stability of the hybrid system by the interaction power between the controlled current source and the controlled voltage source in the transient model.

[0034] As described above, research on rapid transient modeling methods and parameter variation stability analysis methods for hybrid systems of grid-connected new energy power plants and grid-connected energy storage power plants in existing technologies is still insufficient. Furthermore, to analyze the influence mechanism of interactions in hybrid systems and the impact of parameters on interactions and transient stability, this invention provides a method for determining the parameter stability performance of hybrid systems considering interactive power: First, a rapid transient model for grid-connected and grid-connected hybrid systems is mathematically derived, suitable for quickly analyzing the transient power angle and voltage performance of hybrid systems, and can describe interactions through coupling terms; next, the influence mechanism of interactions on transient characteristics of hybrid systems is analyzed to explore whether there is a direct correlation; finally, the influence of control parameters for grid-connected and grid-connected systems on interactions is analyzed, and the impact on the transient stability of hybrid systems is further summarized.

[0035] Step 100, see Figure 2Grid-connected renewable energy power plants are equivalent to controlled current sources, while grid-connected energy storage power plants are equivalent to controlled voltage sources. Both controlled sources are connected to the grid via transmission lines of different lengths, feeding into the grid at the point of common coupling (PCC). This application refers to grid-connected renewable energy power plants as GFLs and grid-connected energy storage power plants as GFMs.

[0036] Regarding step 200, the equivalent circuit, derived through mathematical formulas, allows for the exploration of the voltage and current vector relationships in the hybrid system circuit, thereby enabling the establishment of a simplified transient model. Furthermore, the equivalent circuit in step 200 specifically includes: the power angle differential equation of the controlled current source, the equivalent rotor motion equation of the controlled voltage source, and the port voltage equation.

[0037] For step 300, the impact on the transient stability of the hybrid system is summarized by changing the phase-locked loop ratio, integral parameters, inertia and damping coefficient of the grid-type converter power loop, and the impedance parameters of the three branches of the grid-type, grid-type, and synchronous machine on the interactive power.

[0038] In some embodiments of the present invention, see Figure 3 Step 100 includes: Step 101: Connect the controlled current source and the controlled voltage source to a common coupling point through transmission lines of different lengths; wherein the common coupling point is connected to the power grid; Step 102: Feed the controlled current source and the controlled voltage source connected to the common coupling point into the power grid to generate the equivalent circuit.

[0039] In steps 101 and 102, see Figure 2 GFL follows via PLL U GFL Phase generation i GFL Injected into the abc / dq and dq / abc rotating coordinate system, GFL branch current I GFL Generated by abc / dq I GFL-d(q) The injected current loop generates a voltage command via a PI loop. U GFL-d(q)ref Feedforward U GFL-dq generate E d(q) GFL modulation voltage generated by dq / abc E GFL GFM is measured by the active power deviation Δ P Phase generated by self-synchronization through rotor motion equation i GFMThrough reactive power deviation Δ Q Through reactive power droop coefficient K q And superimposed voltage command U GFM-ref Generate terminal voltage target value E ref , i GFM With GFM branch voltage U GFM and current I GFM Injecting abc / dq coordinate transformation to generate U GFM-d(q) , E ref GFM modulated voltage is generated by injecting it into the outer voltage loop and inner current loop of the d-axis. E GFM .in, J and D The inertia coefficient and damping parameters in the GFM active loop are... k p and k i These are the proportional and integral coefficients in the GFM phase-locked loop, respectively. oh n This is the reference angular frequency.

[0040] exist Figure 2 In the middle, the converter LC filter parameters are: L f , C f The terminal voltage, line current, and equivalent transmission reactance of the grid converter are respectively... U GFL , I GFL , X GFL and U GFM , I GFM , X GFM The PCC is connected to an infinite power grid. U g The line reactance is X g The active and reactive power and commands transmitted by GFM are as follows: P e , P ref and Q e , Q ref The voltage at point PCC is U pcc ,I g This is the current supplied to the mains by the PCC.

[0041] In some embodiments of the present invention, see Figure 4 Step 200 includes: Step 201: Generate the power angle differential equation of the controlled current source, the equivalent rotor motion equation of the controlled voltage source, and the port voltage equation based on the equivalent circuit. Step 202: Generate the transient model based on the power angle differential equation, the equivalent rotor motion equation, and the port voltage equation.

[0042] In some embodiments of the present invention, see Figure 5 Step 201 includes: Step 2011: Determine the voltage equation of the equivalent circuit; Figure 2 The voltage equation of the equivalent circuit in the figure is shown in formula (1): (1) In equation (1), Y GFM , Y g They are respectively X GFM , X g The admittance of the corresponding line.

[0043] Step 2012: Determine the voltage vector of the common coupling point, the port voltage of the controlled current source, and the line current of the controlled voltage source according to the voltage equation; The voltage vector at point PCC is obtained from equation (1). U pcc for: (2) GFL port voltage U GFL For equation (3): (3) For GFM, its output current can be obtained from equation (1). I GFM Equation (4): (4) The GFM output can be further calculated. P e and Q e They are as follows: (5) In equation (5), i g for U g Phase in a stationary coordinate system.

[0044] Step 2013: Generate the power angle differential equation, the equivalent rotor motion equation, and the port voltage equation based on the voltage vector, the port voltage, and the line current.

[0045] The power angles of GFL and GFM are respectively d GFL , d GFM The calculation method is as follows d GFL = i GFL- i g , d GFM = i GFM- i g The corresponding angular frequency oh GFL and oh GFM As shown in the following formula: (6) For GFL, when I GFL-q When =0, i GFL =0, current source is I GFL ∠ d GFL GFL's PLL utilizes its output phase i GFL The q-axis component of the voltage vector is obtained through Park transformation. U GFL-q As shown in equation (7), where a = X g X GFM + X g X GFL + X GFL X GFM .

[0046] (7)

[0047] PLL output phase i GFL as follows: (8) Substituting equation (8) into equation (7) for differential derivation, we obtain the GFL differential equation as follows: (9) For the GFM, its rotor motion equation is as follows (10): (10) Combining equations (5), (9), and (10), the equivalent rotor motion equation of GFM is further derived as equation (11): (11) Similarly, the algebraic equation for reactive power droop control is equation (12): (12) Combining equation (5) Q GFM-e Further derivation U GFM for: (13) In some embodiments of the present invention, see Figure 6 Step 2013 includes: Step 20131: Determine the active power and reactive power of the controlled voltage source based on the voltage vector, the port voltage, and the line current; Step 20132: Generate the power angle differential equation, the equivalent rotor motion equation, and the port voltage equation based on the voltage vector, the port voltage, the line current, the active power, and the reactive power.

[0048] Transient model of hybrid system as follows Figure 7 As shown. The state variables are... d GFL , oh GFL , d GFM and oh GFM ,coefficient b =1 / ( X GFM + X g ).

[0049] Based on the power angle differential equations of equations (9) and (11) and the voltage equation of equation (13), the fast transient models of grid-connected new energy power stations and grid-connected energy storage power stations considering interactive power can be derived as follows: Figure 8 As shown.

[0050] Figure 8 Power command of GFL P ref for bk i aI GFL-d Braking power P for bk i U g X GFM sin( d GFL )+ bk i U GFM X g sin( d GFL - d GFM Damping power P D for bk p U g X GFM oh GFL cos( d GFL )+ U GFM X g ( oh GFL- oh GFM cos( d GFL - d GFM ). P Includes only with d GFL Related items and d GFL and d GFM The related terms are defined as GFL self-braking power. P GFL Inter-braking power with GFL P GFL+GFM . P D Includes with oh GFL Related items and ohGFL and oh GFM The related terms are defined as the GFL self-damping power. P D-GFL and mutual damping power P D-GFL+GFM GFM power command is oh n P ref , P for oh n U GFM ( U g sin( d GFM )- I GFL-d X g cos( d GFL - d GFM )), P D for D GFM . P Includes only with d GFM Related items and d GFM and d GFL The related terms are defined as the GFM self-damping power. P D-GFM and mutual damping power P DGFL-GFM .

[0051] In some embodiments of the present invention, the parameters of the hybrid system include: the phase-locked loop ratio and integral parameters of the converter of the grid-connected new energy power station, and the inertia coefficient and damping parameters of the active loop of the grid-connected energy storage power station.

[0052] In some embodiments of the present invention, step 300 includes the following: First, we need to determine the interaction mechanism between braking power and damping power on transient stability. Damping power is a function of velocity ω and position δ, indicating that the system changes according to velocity each time it reaches a certain position. Braking power is only related to δ, changing only according to its own position. Both damping power and braking power include self-power and mutual power. Mutual power is the link in the interaction, capable of generating a GFM-to-GFL or GFL-to-GFM effect. When the value is positive, it dissipates energy in the branch, improving its power angle stability; when the value is negative, it injects energy into the branch, reducing its power angle stability. The effect of power on port voltage cannot be intuitively analyzed from the graph and needs to be specifically summarized through simulation.

[0053] Specifically, the transient characteristics of the control parameters of the hybrid system are first analyzed: the core control parameters of the grid-connected converter PLL include the proportional coefficient. k p and integral coefficient k i .when k p and k i When changes occur, according to Figure 8 It is known that this will affect the transient characteristics of the hybrid system. For k p In terms of coefficients, different k p It will directly change the self-damping power of the mesh. P D-GFL and mutual damping power P D-GFL+GFM This affects the power angle of the GFL. d GFL .because d GFL Changes may indirectly affect the self-braking power of the mesh-type system. P GFL and mutual braking power P GFL+GFM At the same time, it indirectly affects the power of the grid-type interlocking system. P GFM+GFL Indirectly affecting d GFM , d GFL and d GFM Combined effects U GFM and U pcc .for k i In terms of coefficients, different k iIt will directly change the power command of the network type. P ref Self-braking power P GFL and mutual braking power P GFL+GFM， This affects the power angle of the GFL. d GFL .because d GFL Changes may indirectly affect the self-braking power of the mesh-type system. P GFL and mutual braking power P GFL+GFM At the same time, it indirectly affects the power of the grid-type interlocking system. P GFM+GFL Indirectly affecting d GFM , d GFL and d GFM Combined effects U GFM and U pcc . k p and k i The final impact pattern still needs to be verified through simulation.

[0054] The core control parameters of the grid-type converter VSG include inertia parameters. J and damping coefficient D .when J and D When changes occur, according to Figure 8 It is known that this will affect the transient characteristics of the hybrid system. For J In this regard, as the main branch of GFM, it will directly affect d GFM Affects GFM braking power P GFM and P GFM+GFL .when d GFM When changes occur, they indirectly affect the mutual braking power of the grid. P GFL+GFM and mutual damping power P D-GFL+GFM to d GFL Changes have occurred. d GFM and d GFL Combined effects U pcc and UGFM Regarding D In terms of analytical approach and J Consistent. J and D The final impact pattern still needs to be verified through simulation. Here it is... k p , k i , J and D The influence paths of the four control parameters are as follows Figure 9 As shown.

[0055] Next, the transient characteristics of the line parameters in the hybrid system are analyzed: different line parameters X GFL X GFM and X g Next, it will change a and b Parameters affect the transient characteristics of hybrid systems.

[0056] For different X GFL First change a Affects GFL branch power command bk i aI GFL-d Change the braking power of the GFL section P GFL , P GFL+GFM and angle d GFL , d GFL Changes in this can indirectly affect the GFM branch, potentially causing... d GFM Changes have occurred. d GFL和 d GFM Combined effects U GFM and U pcc For different X GFM It will change at the same time a and b Affects the power command of GFL branch bk i aI GFL-d By changing the braking power and damping power of the GFL and the braking power of the GFM, the power angle of the GFL and GFM is affected. d GFM and d GFL , d GFM , d GFL Joint influence U GFM and U pcc .for X g It will also change at the same time. a and b Affects the power command of GFL branch bk i aI GFL-d By changing the braking power and damping power of the GFL and the braking power of the GFM, the power angle of the GFL and GFM is affected. d GFM and d GFL , d GFM , d GFL Joint influence U GFM and U pcc However, the specific effects are different from those of other products. X GFM The difference is due to variations in the power terms. (Given...) X GFL , X GFM and X g Transient analysis paths for three types of line parameters are as follows: Figure 7 .

[0057] As described above, the method for determining the parameter stability performance of a hybrid system based on interactive power, provided by this invention, firstly establishes a fast transient model by mathematically deriving a model for grid-connected new energy power stations and grid-connected energy storage power stations. The model reveals the interaction of the hybrid system through braking power and damping power, providing a model basis and theoretical foundation for the analysis of multi-machine problems in heterogeneous control. Next, the PLL loop parameters are analyzed. k p , k i and VSG ring parameters J and D The effects on interactive power, transient power angle, and voltage are provided. k p , k i , J and DTransient analysis paths under changing conditions provide a theoretical framework for control system modification; finally, analysis was conducted... X GFL X GFM and X g The effects of three line parameters on interactive power, transient power angle, and voltage are provided. X GFL , X GFM ,and X g Transient analysis paths under changing conditions provide guidance for engineering practice.

[0058] For further explanation of the plan, see Figure 10 The specific implementation of the method for determining the parameter stability performance of a hybrid system based on interactive power provided by the present invention includes the following steps: First, set up as follows Figure 2 Consider the overall framework simulation diagram of the grid-connected system with both grid-type and grid-connected converters. The circuit parameters used are shown in Table 1.

[0059] Table 1. Model parameters of grid-connected systems with both grid-connected and grid-connected converters.

[0060] S1: Determine the differences in GFL k p , k i The influence of control parameters on the interactive power, transient power angle and voltage of the hybrid system.

[0061] Simulation time: 15 seconds; results appear after 7-8 seconds of fault detection. U g Dropped to 0.7 PU, selected k p =40, 60 and 80, k i =700, 1400, 2100.

[0062] different k p With changes in coefficients, for P DGFL Significant changes, with k p Increase, duration of failure P D-GFL Larger; for P D-GFL+GFM The changes were minor. k p From 40 to 60 hours P D-GFL+GFMNo significant changes. k p From 60 to 80 hours P D-GFL+GFM There was a slight impulse overshoot at the moment of the fault. For d GFL There is basically no impact, because P DGFL On the order of magnitude, k p coefficients only for P DGFL The changes have virtually no impact d GFL Change; at the same time due to d GFL Basically unchanged, for d GFM Basically unchanged.

[0063] different k i With changes in coefficients, for P GFL The changes are significant. k i When it increases P GFL Overall increase; for P GFL+GFM The changes are significant. k i When it increases P GFL The overall size has increased, but the impact of the malfunction at the moment of failure remains basically the same; for d GFL There is a slight impact; the trends differ between the moment of failure and the moment of recovery. k i right d GFL The impact is relatively small, reflected in d GFM It has virtually no impact.

[0064] Finally, due to the PLL's k p and k i The parameters remain basically unchanged. d GFL and d GFL Ultimately U GFM and U g The impact is also relatively small.

[0065] The simulation results above show that the PLL's k p andk i The parameters have little impact on transient characteristics and are not the core parameters for improving the transient characteristics of hybrid systems.

[0066] S2: Determine the differences in GFM J and D The influence of control parameters on the interactive power, transient power angle and voltage of the hybrid system.

[0067] different J , D Selection of GFM damping power and transient characteristics of hybrid system power angle under parameters J =10, 20 and 30, D =25, 50, 75.

[0068] different J With changes in coefficients, for P D-GFM The impact is significant. J Increase the duration of the fault P D-GFM Slowing down and decreasing, the oscillation time increases after the fault is recovered; for P D-GFM+GFL The impact is significant. J Increased fault occurrence and recovery P D-GFM Decrease; for d GFM and d GFM The effect of the change is consistent. J When it increases d GFM and d GFM The change slows down and decreases.

[0069] different D With changes in coefficients, for P D-GFM The impact is significant. D Increased fault recovery period P D-GFM Fast and stable; for P D-GFM+GFL The impact is significant. D Increase during fault period P D-GFM+GFL Smaller overshoot; for d GFM and d GFM The effect of the change is consistent. D The change in power angle during a fault decreases when the power angle is increased.

[0070] different J With changes in coefficients, forU GFM The impact is significant. J When it increases U GFM The drop depth decreased slightly, but the recovery speed slowed down; for U pcc Analysis and U GFM Consistent. Different. D With changes in coefficients, for U GFM The impact is significant. J When it increases U GFM The depth of the fall decreases, and the recovery speed increases; for U pcc Analysis and U GFM Consistent. Clearly, for the transient power angle and voltage characteristics of a hybrid system, the inertia of the GFM active loop... J and damping D Changes in this parameter have a significant impact and are a key parameter for improving the transient performance of hybrid systems.

[0071] S3: Determine different line parameters X GFL X GFM and X g The impact on the interactive power, transient power angle, and voltage of the hybrid system.

[0072] different X GFL The simulation time for the transient characteristics of GFL braking and damping power and power angle changes under the specified parameters is 15s, with the fault starting at 7~8s. U g Dropped to 0.7 PU, selected X GFL =0.1, 0.2, 0.3.

[0073] Different X GFL X GFM and X g The effects of parameters on the transient power angle and voltage of the hybrid system are summarized in Table 2.

[0074] Table 2 Differences X GFL X GFM and X g Influence of parameters on transient power angle and voltage of hybrid systems

[0075] The effects of changes in the above control parameters and line parameters on the transient power angle and voltage of the hybrid system are as follows: Figure 11 As shown.

[0076] Figure 11 The control parameters of the GFL / GFM hybrid system are illustrated in a concrete way. k p , k i , D and J and line parameters X GFM , X GFL and X g The impact on transient voltage and power angle of hybrid systems provides indicators and ideas for control modification or parameter correction of transient processes.

[0077] As described above, the specific embodiments of the present invention provide a method for determining the parameter stability performance of a hybrid system based on interactive power, one of which is based on the virtual impedance of a grid-type converter under the VSG algorithm. Z v The inherent mechanism of reactive power loops provides effective analytical approaches and methods, the core of which is to analyze different R v and L v Lower reactive power angle curve Q e - d and voltage power angle curve E - δ The changes in ground can be mathematically analyzed and derived to extend network-type converters applicable to any control mode; secondly, the virtual impedance is analyzed. Z v and reactive power loop parameters D q right E The representational relationship reveals Z v The coupling mechanism with reactive power loop parameters; and the design based on... Z v - E - D qThe proposed method for enhancing the transient voltage of a grid-connected converter using a fitted function maximizes the converter's ability to inject reactive power into the system to raise voltage. This patent bridges the gap between virtual impedance design and transient voltage ride-through methods for grid-connected converters, effectively addressing the inherent limitations of comprehensively analyzing the intrinsic mechanisms and parameter coupling mechanisms of virtual impedance and reactive power loops. It provides theoretical support and practical tools for future design of fault ride-through methods and parameter tuning for grid-connected converters, as well as for the safe and stable operation of the system, effectively improving the transient safety and renewable energy absorption capacity of grid-connected converters.

[0078] Based on the same inventive concept, this application also provides a device for determining the parameter stability performance of a hybrid system based on interactive power, which can be used to implement the method described in the above embodiments, as shown in the following embodiments. Since the principle of the device for determining the parameter stability performance of a hybrid system based on interactive power is similar to that of the method for determining the parameter stability performance of a hybrid system based on interactive power, the implementation of the device for determining the parameter stability performance of a hybrid system based on interactive power can refer to the implementation of the method for determining the parameter stability performance of a hybrid system based on interactive power; repeated details will not be elaborated further. As used below, the terms "unit" or "module" can refer to a combination of software and / or hardware that implements a predetermined function. Although the system described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0079] Embodiments of the present invention provide a specific implementation of a device for determining the parameter stability performance of a hybrid system based on interactive power, capable of implementing a method for determining the parameter stability performance of a hybrid system based on interactive power. See [link to specific implementation details]. Figure 12 A device for determining the parameter stability performance of a hybrid system based on interactive power specifically includes the following components: The equivalent circuit generation module 10 is used to generate an equivalent circuit of a hybrid system containing grid-connected new energy power stations and grid-connected energy storage power stations; wherein, the grid-connected new energy power stations are equivalent to controlled current sources in the equivalent circuit, and the grid-connected energy storage power stations are equivalent to controlled voltage sources in the equivalent circuit. Transient model generation module 20 is used to generate a transient model of the hybrid system based on the equivalent circuit; The parameter stability determination module 30 is used to determine the parameter stability of the hybrid system by means of the interaction power between the controlled current source and the controlled voltage source in the transient model.

[0080] In some embodiments of this application, see Figure 13 The equivalent circuit generation module 10 includes: Source connection unit 10a is used to connect the controlled current source and the controlled voltage source to a common coupling point through transmission lines of different lengths; wherein the common coupling point is connected to the power grid; The equivalent circuit generation unit 10b is used to feed the controlled current source and the controlled voltage source connected to the common coupling point into the power grid to generate the equivalent circuit.

[0081] In some embodiments of this application, see Figure 14 The transient model generation module 20 includes: Equation generation unit 20a is used to generate the power angle differential equation of the controlled current source, the equivalent rotor motion equation of the controlled voltage source, and the port voltage equation based on the equivalent circuit. The transient model generation unit 20b is used to generate the transient model based on the power angle differential equation, the equivalent rotor motion equation, and the port voltage equation.

[0082] In some embodiments of this application, see Figure 15 The equation generating unit 20a includes: Voltage equation determination unit 20a1 is used to determine the voltage equation of the equivalent circuit; The parameter determination unit 20a2 is used to determine the voltage vector of the common coupling point, the port voltage of the controlled current source, and the line current of the controlled voltage source according to the voltage equation. The first sub-unit 20a3 for equation generation is used to generate the power angle differential equation, the equivalent rotor motion equation, and the port voltage equation based on the voltage vector, the port voltage, and the line current.

[0083] In some embodiments of this application, see Figure 16 The equation generates the first subunit package 20a3, which includes: The power determination unit 20a31 is used to determine the active power and reactive power of the controlled voltage source based on the voltage vector, the port voltage and the line current. The equation generation second sub-unit 20a32 is used to generate the power angle differential equation, the equivalent rotor motion equation, and the port voltage equation based on the voltage vector, the port voltage, the line current, the active power, and the reactive power.

[0084] In some embodiments of this application, the parameters of the hybrid system include: the phase-locked loop ratio and integral parameters of the converter of the grid-connected new energy power station, and the inertia coefficient and damping parameters of the active power loop of the grid-connected energy storage power station.

[0085] The embodiments of this application also provide a specific implementation of an electronic device capable of implementing all steps in the parameter stability performance determination method for a hybrid system based on interactive power in the above embodiments. See [link to implementation details]. Figure 17 The electronic devices specifically include the following: Processor 1201, memory 1202, communications interface 1203, and bus 1204; The processor 1201, memory 1202, and communication interface 1203 communicate with each other via bus 1204; the communication interface 1203 is used to realize information transmission between server-side devices and client-side devices and other related devices. The processor 1201 is used to call the computer program in the memory 1202. When the processor executes the computer program, it implements all the steps in the parameter stability performance determination method of the hybrid system based on interactive power in the above embodiments. For example, when the processor executes the computer program, it implements the following steps: An equivalent circuit is generated for a hybrid system containing grid-connected new energy power stations and grid-connected energy storage power stations; wherein, the grid-connected new energy power stations are equivalent to controlled current sources in the equivalent circuit, and the grid-connected energy storage power stations are equivalent to controlled voltage sources in the equivalent circuit. Generate a transient model of the hybrid system based on the equivalent circuit; The parameter stability of the hybrid system is determined by the interaction power between the controlled current source and the controlled voltage source in the transient model.

[0086] Embodiments of this application also provide a computer-readable storage medium capable of implementing all steps of the parameter stability performance determination method for a hybrid system based on interactive power in the above embodiments. The computer-readable storage medium stores a computer program that, when executed by a processor, implements all steps of the parameter stability performance determination method for a hybrid system based on interactive power in the above embodiments. For example, when the processor executes the computer program, it implements the following steps: An equivalent circuit is generated for a hybrid system containing grid-connected new energy power stations and grid-connected energy storage power stations; wherein, the grid-connected new energy power stations are equivalent to controlled current sources in the equivalent circuit, and the grid-connected energy storage power stations are equivalent to controlled voltage sources in the equivalent circuit. Generate a transient model of the hybrid system based on the equivalent circuit; The parameter stability of the hybrid system is determined by the interaction power between the controlled current source and the controlled voltage source in the transient model.

[0087] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to interchangeably. Each embodiment focuses on its differences from other embodiments. In particular, hardware + program embodiments are relatively simple in description because they are fundamentally similar to method embodiments; relevant parts can be referred to the descriptions in the method embodiments.

[0088] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0089] While this application provides method operation steps as shown in the embodiments or flowcharts, more or fewer operation steps may be included based on conventional or non-inventive labor. The order of steps listed in the embodiments is merely one possible execution order among many and does not represent the only execution order. In actual device or client product execution, the method can be executed in the order shown in the embodiments or drawings or in parallel (e.g., in a parallel processor or multi-threaded processing environment).

[0090] For ease of description, the above devices are described in terms of function, divided into various modules. Of course, in implementing the embodiments of this specification, the functions of each module can be implemented in one or more software and / or hardware components, or a module that performs the same function can be implemented by a combination of multiple sub-modules or sub-units. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division; in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between devices or units, and may be electrical, mechanical, or other forms.

[0091] Those skilled in the art will also know that, besides implementing the controller using purely computer-readable program code, the same functions can be achieved by logically programming the method steps, making the controller function as logic gates, switches, application-specific integrated circuits (ASICs), programmable logic controllers (PLCs), and embedded microcontrollers. Therefore, such a controller can be considered a hardware component, and the devices within it used to implement various functions can also be considered structures within that hardware component. Alternatively, the devices used to implement various functions can be considered as both software modules implementing the method and structures within a hardware component.

[0092] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0093] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0094] The embodiments described in this specification can be described in the general context of computer-executable instructions, such as program modules, that are executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform a specific task or implement a specific abstract data type. The embodiments of this specification can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0095] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, system embodiments are basically similar to method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments. In the description of this specification, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the embodiments in this specification. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described can be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0096] The above description is merely an embodiment of the present specification and is not intended to limit the embodiments of the present specification. For those skilled in the art, various modifications and variations can be made to the embodiments of the present specification. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of the embodiments of the present specification should be included within the scope of the claims of the embodiments of the present specification.

Claims

1. A method for determining the parameter stability performance of a hybrid system based on interactive power, characterized in that, include: An equivalent circuit is generated for a hybrid system containing grid-connected new energy power stations and grid-connected energy storage power stations; wherein, the grid-connected new energy power stations are equivalent to controlled current sources in the equivalent circuit, and the grid-connected energy storage power stations are equivalent to controlled voltage sources in the equivalent circuit. Generate a transient model of the hybrid system based on the equivalent circuit; The parameter stability of the hybrid system is determined by the interaction power between the controlled current source and the controlled voltage source in the transient model.

2. The method for determining parameter stability performance according to claim 1, characterized in that, The equivalent circuit for generating a hybrid system containing grid-connected new energy power stations and grid-connected energy storage power stations includes: The controlled current source and the controlled voltage source are connected to a common coupling point via transmission lines of different lengths; wherein the common coupling point is connected to the power grid. The controlled current source and the controlled voltage source connected to the common coupling point are fed into the power grid to generate the equivalent circuit.

3. The method for determining parameter stability performance according to claim 2, characterized in that, Generating a transient model of the hybrid system based on the equivalent circuit includes: The power angle differential equation of the controlled current source, the equivalent rotor motion equation of the controlled voltage source, and the port voltage equation are generated based on the equivalent circuit. The transient model is generated based on the power angle differential equation, the equivalent rotor motion equation, and the port voltage equation.

4. The method for determining parameter stability performance according to claim 3, characterized in that, The power angle differential equation of the controlled current source, the equivalent rotor motion equation of the controlled voltage source, and the port voltage equation are generated based on the equivalent circuit, including: Determine the voltage equation of the equivalent circuit; The voltage vector of the common coupling point, the port voltage of the controlled current source, and the line current of the controlled voltage source are determined according to the voltage equation. The power angle differential equation, the equivalent rotor motion equation, and the port voltage equation are generated based on the voltage vector, the port voltage, and the line current.

5. The method for determining parameter stability performance according to claim 4, characterized in that, The power angle differential equation, the equivalent rotor motion equation, and the port voltage equation are generated based on the voltage vector, the port voltage, and the line current, including: The active power and reactive power of the controlled voltage source are determined based on the voltage vector, the port voltage, and the line current. The power angle differential equation, the equivalent rotor motion equation, and the port voltage equation are generated based on the voltage vector, the port voltage, the line current, the active power, and the reactive power.

6. The method for determining parameter stability performance according to any one of claims 1 to 5, characterized in that, The parameters of the hybrid system include: the phase-locked loop ratio and integral parameters of the converter of the grid-connected new energy power station, and the inertia coefficient and damping parameters of the active loop of the grid-connected energy storage power station.

7. A device for determining the parameter stability performance of a hybrid system based on interactive power, characterized in that, include: An equivalent circuit generation module is used to generate an equivalent circuit for a hybrid system containing grid-connected new energy power stations and grid-connected energy storage power stations; wherein, the grid-connected new energy power stations are equivalent to controlled current sources in the equivalent circuit, and the grid-connected energy storage power stations are equivalent to controlled voltage sources in the equivalent circuit. A transient model generation module is used to generate a transient model of the hybrid system based on the equivalent circuit. The parameter stability determination module is used to determine the parameter stability of the hybrid system by means of the interaction power between the controlled current source and the controlled voltage source in the transient model.

8. A computer program product comprising a computer program / instructions, characterized in that, When the computer program / instructions are executed by the processor, they implement the steps of the method for determining the parameter stability performance of a hybrid system based on interactive power as described in any one of claims 1 to 6.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps of the method for determining the parameter stability performance of a hybrid system based on interactive power as described in any one of claims 1 to 6.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the steps of the method for determining the parameter stability performance of a hybrid system based on interactive power as described in any one of claims 1 to 6.

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