Power grid component processing method and device, computer program product and electronic equipment

Abstract

The invention discloses a power grid component processing method and device, a computer program product and electronic equipment. Relates to the technical field of power grids or other related fields, and comprises the following steps: determining a target type of a converter in the medium-voltage power distribution network according to configuration information of the medium-voltage power distribution network, and obtaining component layout information of the converter in the medium-voltage power distribution network, the converter comprising M converter sub-modules, the target type comprising one of the following: a half-bridge type and a full-bridge type, m is a positive integer; performing model equivalence on each converter sub-module according to the component layout information and the target type to obtain M converter equivalence models, and constructing an equivalent circuit according to the M converter equivalence models; and under the condition that the simulation of the equivalent circuit is not abnormal, replacing the converter of the medium-voltage power distribution network by the equivalent circuit to obtain the replaced medium-voltage power distribution network. According to the invention, the problem that the control efficiency is low when a converter is used for controlling the medium-voltage power distribution network in the prior art is solved.

Description

Technical Field

[0001] The present application relates to the technical field of power grids or other related fields. Specifically, it relates to a method, device, computer program product, and electronic device for processing components of a power grid. Background Art

[0002] The modernization and sustainable development of the power system require the power grid to be able to efficiently and flexibly integrate and manage various distributed energy sources and flexible loads. Among them, photovoltaic power generation and wind power generation are important renewable energy sources, electric vehicle charging piles are emerging flexible loads, and energy storage devices are key links for energy buffering and regulation. Their large-scale access has brought unprecedented challenges to the operation and control of traditional power grids. To address these challenges, the concept of flexible interconnection devices in medium- and low-voltage interconnection systems has emerged. By using advanced power electronic technologies, such as back-to-back voltage source converters, intelligent interconnection between feeders and closed-loop operation of the distribution network are realized, thereby optimizing the power flow distribution and enhancing the flexibility of power grid regulation and power supply reliability.

[0003] The modular multilevel converter (MMC) simplifies the system structure and improves system performance through the cascading of sub-modules. However, when simulating high-frequency power electronic components, short time steps must be used to maintain simulation accuracy. As the number of MMC levels increases, the complexity and calculation time of electromagnetic transient simulation increase significantly, and the inefficient simulation process seriously hinders the speed and effectiveness of MMC design, optimization, and fault analysis, thus reducing its application value in actual power systems.

[0004] The equivalent of MMC in related technologies is usually realized based on the Thevenin equivalent principle. However, this equivalent method mainly focuses on the application of MMC in the main network system. Medium-voltage distribution networks are usually located near load centers, which requires MMC to have a more complex control mechanism to adapt to the dynamic characteristics of the distribution network. In addition, due to problems such as the access of single-phase distributed power sources and asymmetric short circuits on the AC side in medium-voltage distribution networks, voltage imbalance problems are likely to occur, making the control strategy and equivalent method of MMC unable to meet the relevant requirements.

[0005] Aiming at the problem of low control efficiency when using converters to control medium-voltage distribution networks in related technologies, no effective solution has been proposed yet. Summary of the Invention

[0006] The main purpose of the present application is to provide a method, device, computer program product, and electronic device for processing components of a power grid to solve the problem of low control efficiency when using converters to control medium-voltage distribution networks in related technologies.

[0007] To achieve the above object, according to one aspect of the present application, a method for processing components of a power grid is provided. The method includes: determining a target type of a converter in a medium-voltage distribution network according to the configuration information of the medium-voltage distribution network, and obtaining the component layout information of the converter in the medium-voltage distribution network, wherein the converter includes M converter sub-modules, and the target type includes one of the following: half-bridge type and full-bridge type, and M is a positive integer; performing model equivalence on each converter sub-module according to the component layout information and the target type to obtain M converter equivalent models, and constructing an equivalent circuit according to the M converter equivalent models; in the case that there is no abnormality in the equivalent circuit simulation, replacing the converter in the medium-voltage distribution network with the equivalent circuit to obtain the replaced medium-voltage distribution network.

[0008] Further, performing model equivalence on each converter sub-module according to the component layout information and the target type to obtain M converter equivalent models includes: constructing a switching function model for each converter sub-module to obtain M switching function models, wherein each switching function model is used to characterize the electrical characteristics of each converter sub-module in different switching states, and the switching states include at least one of the following: forward switching, reverse switching, and blocking state; using the trapezoidal integration algorithm to determine the capacitance time-domain equivalent model of each converter sub-module to obtain M capacitance time-domain equivalent models; respectively constructing equivalent models according to the switching function models and the capacitance time-domain equivalent models of the M converter sub-modules to obtain M converter equivalent models.

[0009] Further, constructing a switching function model for each converter sub-module to obtain M switching function models includes: obtaining a preset switching function, and obtaining the relationship between the preset switching function and the capacitor voltage to obtain a switching function relationship, wherein the preset switching function is used to indicate the switching state; constructing an initial switching function model for each converter sub-module based on the preset switching function and the switching function relationship to obtain M initial switching function models; determining the circuit characteristics of each converter sub-module in different switching states, and respectively simplifying each initial switching function model according to the circuit characteristics to obtain M switching function models, wherein the voltage source of each switching function model is the equivalent voltage of the capacitor of each converter sub-module, and the resistance of each switching function model is the equivalent resistance of each converter sub-module.

[0010] Further, using the trapezoidal integration algorithm to determine the capacitance time-domain equivalent model of each converter sub-module to obtain M capacitance time-domain equivalent models includes: extracting the capacitance components included in each converter sub-module to obtain M capacitance components; using the trapezoidal integration algorithm to perform a form conversion on the voltage equation of each capacitance component to obtain M voltage equations in differential form; processing each voltage equation in differential form to obtain M capacitance time-domain equivalent models.

[0011] Further, constructing an equivalent circuit based on the M converter equivalent models includes: combining the M converter sub-modules according to the component layout information to obtain Y modular bridge arms, where Y is a positive integer; performing equivalence on each modular bridge arm based on the converter equivalent model in each modular bridge arm to obtain Y arm equivalent models, and constructing an equivalent circuit according to the Y arm equivalent models.

[0012] Further, after constructing the equivalent circuit according to the M converter equivalent models, the method further includes: obtaining a model predictive controller, and using the model predictive controller to operate the equivalent circuit to obtain a circuit control signal; obtaining a preset simulation waveform, and when the simulation waveform of the circuit control signal coincides with the preset simulation waveform, the equivalent circuit simulation is normal.

[0013] Further, determining the target type of the converter in the medium-voltage distribution network according to the configuration information of the medium-voltage distribution network includes: judging whether the medium-voltage distribution network includes a coupling transformer according to the configuration information; when the medium-voltage distribution network includes a coupling transformer, determining the target type of the converter as a half-bridge type; when the medium-voltage distribution network does not include a coupling transformer, determining the target type of the converter as a full-bridge type.

[0014] To achieve the above object, according to another aspect of the present application, there is provided a component processing device for a power grid. The device includes: a determination unit, configured to determine the target type of the converter in the medium-voltage distribution network according to the configuration information of the medium-voltage distribution network, and obtain the component layout information of the converter in the medium-voltage distribution network, where the converter includes M converter sub-modules, and the target type includes one of the following: half-bridge type and full-bridge type, and M is a positive integer; an equivalence unit, configured to perform model equivalence on each converter sub-module according to the component layout information and according to the target type to obtain M converter equivalent models, and construct an equivalent circuit according to the M converter equivalent models; a replacement unit, configured to replace the converter in the medium-voltage distribution network with the equivalent circuit when the equivalent circuit simulation is normal to obtain a replaced medium-voltage distribution network.

[0015] According to another aspect of the embodiments of the present invention, there is also provided a computer storage medium for storing a program, where the program, when running, controls a device where the computer storage medium is located to execute a component processing method for a power grid.

[0016] According to another aspect of the embodiments of the present invention, there is also provided an electronic device including one or more processors and a memory; the memory stores computer-readable instructions, and the processor is configured to run the computer-readable instructions, where the computer-readable instructions, when running, execute a component processing method for a power grid.

[0017] According to another aspect of the embodiments of the present invention, there is also provided a computer program product, including a computer program which, when executed by a processor, executes a method for processing components of a power grid.

[0018] Through this application, the following steps are adopted: determining the target type of the converter in the medium-voltage distribution network according to the configuration information of the medium-voltage distribution network, and obtaining the component layout information of the converter in the medium-voltage distribution network, where the converter includes M converter sub-modules, and the target type includes one of the following: half-bridge type and full-bridge type, and M is a positive integer; performing model equivalence on each converter sub-module according to the component layout information and according to the target type to obtain M converter equivalent models, and constructing an equivalent circuit according to the M converter equivalent models; in the case where there is no abnormality in the equivalent circuit simulation, replacing the converter in the medium-voltage distribution network with the equivalent circuit to obtain the replaced medium-voltage distribution network, which solves the problem of low control efficiency existing in the related technology when using the converter to control the medium-voltage distribution network. By performing model equivalence on each converter sub-module according to the component layout information and according to the target type to obtain the corresponding converter equivalent models, and then constructing an equivalent circuit, and replacing the converter in the medium-voltage distribution network with the equivalent circuit, the effect of improving the response speed and control accuracy is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings constituting a part of this application are used to provide a further understanding of this application. The schematic embodiments of this application and their descriptions are used to explain this application and do not constitute an improper limitation to this application. In the drawings:

[0020] Figure 1 is a flowchart of the method for processing components of a power grid provided by the embodiments of this application;

[0021] Figure 2 is a schematic diagram of the equivalent model of the sub-module provided by the embodiments of this application Figure 1 ;

[0022] Figure 3 is a schematic diagram of the equivalent model of the sub-module provided by the embodiments of this application Figure 2 ;

[0023] Figure 4 is a schematic diagram of the capacitance time-domain equivalent model provided by the embodiments of this application;

[0024] Figure 5 is a schematic diagram of the equivalent circuit of the half-bridge type sub-module provided by the embodiments of this application;

[0025] Figure 6 is a schematic diagram of the Thevenin equivalent model provided by the embodiments of this application;

[0026] Figure 7It is a schematic diagram of the equivalent circuit of the full-bridge sub-module provided by the embodiments of the present application;

[0027] Figure 8 It is a schematic diagram of the equivalent process of the full-bridge sub-module provided by the embodiments of the present application;

[0028] Figure 9 It is a schematic diagram of the equivalent diagram of the converter provided by the embodiments of the present application;

[0029] Figure 10 It is a schematic diagram of an optional method for processing components of the power grid provided by the embodiments of the present application;

[0030] Figure 11 It is a schematic diagram of a device for processing components of the power grid provided by the embodiments of the present application;

[0031] Figure 12 It is a schematic diagram of an electronic device provided by the embodiments of the present application. Detailed implementation manners

[0032] It should be noted that, without conflict, the embodiments in the present application and the features in the embodiments may be combined with each other. The present application will be described in detail below with reference to the drawings and in conjunction with the embodiments.

[0033] In order to enable those skilled in the art to better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0034] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and do not necessarily need to be used to describe a specific order or sequence. It should be understood that such data may be interchanged under appropriate circumstances so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units does not necessarily need to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0035] It should be noted that the relevant information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for display, data for analysis, etc.) involved in this disclosure are all information and data authorized by the user or fully authorized by all parties. For example, an interface is set up between this system and relevant users or institutions. Before obtaining relevant information, a request for acquisition needs to be sent to the aforementioned users or institutions through the interface, and after receiving the consent information feedback from the aforementioned users or institutions, the relevant information is obtained.

[0036] It should be noted that the information collected in this application is information and data authorized by the user or fully authorized by all parties, and the processing of relevant data such as collection, storage, use, processing, transmission, provision, disclosure, and application complies with the relevant laws, regulations, and standards of the relevant regions, takes necessary confidentiality measures, does not violate public order and good customs, and provides corresponding operation entrances for users to choose to authorize or refuse to use.

[0037] The present invention will be described below in conjunction with preferred implementation steps. Figure 1 is a flowchart of a method for processing components of a power grid provided according to an embodiment of the present application. As Figure 1 shown, the method includes the following steps:

[0038] Step S101, determine the target type of the converter in the medium-voltage distribution network according to the configuration information of the medium-voltage distribution network, and obtain the component layout information of the converter in the medium-voltage distribution network. Wherein, the converter includes M converter sub-modules, and the target type includes one of the following: half-bridge type and full-bridge type, and M is a positive integer.

[0039] Specifically, the configuration information may refer to the component status of the medium-voltage distribution network. The converter refers to a modular multilevel converter (MMC). The component layout information can characterize the layout of the modular multilevel converter in the medium-voltage distribution network, and may include the arrangement of multiple converter sub-modules in the converter, the connection method of the DC bus and the AC side, and the interface design between the converter and the power grid. Based on the characteristics of the medium-voltage distribution network, such as whether a transformer needs to be connected, the stability requirements of the grid voltage, and the requirements for fast response capabilities, the target type of the converter can be determined according to the configuration information of the medium-voltage distribution network.

[0040] It should be noted that the half-bridge sub-module (HBSM) includes a capacitor and two switchable power electronic devices (such as insulated gate bipolar transistors (IGBTs)). It has a simple structure and relatively low cost and plays a key role in the topology of the modular multilevel converter. It can achieve voltage rise and fall and smooth output. However, since its capacitor voltage can only change within one level, its control flexibility in some working conditions is limited. For example, in the case of no connected transformer, its voltage control ability is weak; the full-bridge sub-module (FBSM) includes a capacitor and four switchable power electronic devices (such as insulated gate bipolar transistors), thus forming a complete bridge circuit, which can output positive and negative levels, has higher voltage control ability and fault ride-through ability, making its performance in dealing with grid voltage imbalance, short-circuit faults, etc. superior to that of the half-bridge sub-module, but its cost and complexity are also higher.

[0041] Optionally, in the method for processing components of the power grid provided in the embodiments of the present application, determining the target type of the converter in the medium-voltage distribution network according to the configuration information of the medium-voltage distribution network includes: judging whether the medium-voltage distribution network includes a connected transformer according to the configuration information; in the case where the medium-voltage distribution network includes a connected transformer, determining the target type of the converter as a half-bridge type; in the case where the medium-voltage distribution network does not include a connected transformer, determining the target type of the converter as a full-bridge type.

[0042] For example, if the medium-voltage distribution network is close to the load center and there is single-phase distributed power access, to cope with voltage asymmetry, that is, the application scenario without a connected transformer, the modular multilevel converter needs to have the ability to boost the voltage on the AC side. At this time, a full-bridge converter can be set up so that it can output a negative level to boost the AC side voltage; conversely, if cost and complexity are considered factors, that is, for the scenario with a connected transformer, the modular multilevel converter does not need to have the voltage boosting ability, then a half-bridge converter is set up.

[0043] Step S102: According to the component layout information and according to the target type, perform model equivalence on each converter sub-module to obtain M converter equivalent models, and construct an equivalent circuit according to the M converter equivalent models.

[0044] Specifically, when performing the model equivalence of the converter sub-modules in the medium-voltage distribution network, each sub-module can be equivalently simplified, and the complex power electronic circuit can be simplified into a circuit model that is easy to simulate and can reflect its main electrical characteristics. For example, for a half-bridge sub-module, the equivalent model can include a controlled voltage source (representing the capacitor voltage), an equivalent resistance of the switching component (with different resistance values in the on and off states), and one representing the dynamics of the switching component and the capacitor; while the equivalent model of the full-bridge sub-module is more complex and needs to consider the implementation of positive and negative level control and fault ride-through capabilities.

[0045] Furthermore, the equivalent models of one or more sub-modules can be connected in series according to the component layout information. At this time, an equivalent circuit of the arm model can be formed, and this process needs to consider the electrical relationship of the sub-modules in different switching states and the circulating current control inside the arm. By analyzing the electrical interaction inside the arm, the arm model can be further simplified. For example, the arm composed of multiple series-connected sub-modules can be simplified into an equivalent circuit of a voltage source and a resistor through Thevenin equivalence. The equivalent circuit can also be the equivalent circuit of the complete modular multilevel converter constructed by integrating all the arm models.

[0046] Step S103, when there is no abnormality in the equivalent circuit simulation, replace the converter of the medium-voltage distribution network with the equivalent circuit to obtain the replaced medium-voltage distribution network.

[0047] Specifically, after constructing the equivalent circuit, a comparison sine modulation wave, a triangular carrier wave combined with a controller can be used to generate sub-module control signals, and then the blocking signal of the sub-module can be generated through the "01" level to judge whether there is an abnormality in the simulation of the equivalent circuit in this way. When there is no abnormality in the equivalent circuit simulation, the converter of the medium-voltage distribution network can be replaced based on the equivalent circuit.

[0048] The component processing method of the power grid provided by the embodiment of the present application determines the target type of the converter in the medium-voltage distribution network according to the configuration information of the medium-voltage distribution network, and obtains the component layout information of the converter in the medium-voltage distribution network. Wherein, the converter includes M converter sub-modules, and the target type includes one of the following: half-bridge type and full-bridge type, and M is a positive integer; according to the component layout information and according to the target type, each converter sub-module is subjected to model equivalence to obtain M converter equivalent models, and an equivalent circuit is constructed according to the M converter equivalent models; when there is no abnormality in the equivalent circuit simulation, the converter in the medium-voltage distribution network is replaced by the equivalent circuit to obtain the replaced medium-voltage distribution network, which solves the problem of low control efficiency in the related technology when using the converter to control the medium-voltage distribution network. By performing model equivalence on each converter sub-module according to the component layout information and according to the target type, the corresponding converter equivalent model is obtained, and then an equivalent circuit is constructed, and the converter in the medium-voltage distribution network is replaced by the equivalent circuit, thereby achieving the effect of improving the response speed and control accuracy.

[0049] Optionally, in the component processing method of the power grid provided by the embodiment of the present application, performing model equivalence on each converter sub-module according to the component layout information and according to the target type to obtain M converter equivalent models includes: constructing a switching function model for each converter sub-module to obtain M switching function models, where each switching function model is used to characterize the electrical characteristics of each converter sub-module in different switching states, and the switching states include at least one of the following: forward switching, reverse switching, and blocking state; using the trapezoidal integration algorithm to determine the capacitance time-domain equivalent model of each converter sub-module to obtain M capacitance time-domain equivalent models; respectively constructing equivalent models according to the switching function models and capacitance time-domain equivalent models of the M converter sub-modules to obtain M converter equivalent models.

[0050] Specifically, when performing equivalence on each converter sub-module, first, a half-bridge / full-bridge sub-module switching function model can be established according to the enable signal of the converter sub-module, and then the capacitance of the converter sub-module is discretized based on the trapezoidal integration algorithm to obtain its Thevenin equivalent model (i.e., the capacitance time-domain equivalent model). Secondly, the Thevenin equivalent model of the half-bridge / full-bridge sub-module is obtained according to the switching binary resistance and different working conditions of the sub-module. Wherein, the enable signal (EnableSignal) is used to activate or deactivate a specific circuit or device, that is, it can control the input or cut-off of different sub-modules (such as half-bridge sub-modules or full-bridge sub-modules). When the enable signal is at a high level (represented as "1" or logical high), the corresponding sub-module or the power electronic device therein is activated, allowing current to pass through and participating in the normal operation of the circuit; when the enable signal is at a low level (represented as "0" or logical low), the sub-module is turned off or "blocked", and the power electronic device is in the off state, preventing current from passing through, so that the sub-module is temporarily disconnected from the circuit operation.

[0051] When constructing the switching function model, first, various possible switching states of each converter sub-module (such as a half-bridge sub-module or a full-bridge sub-module) in the modular multilevel converter can be identified through switching signals (such as the on / off signals of insulated gate bipolar transistors), such as positive switching, negative switching, and blocking states. Then, the corresponding switching function model can be constructed according to the switching states. When the sub-module is in the positive switching state, the capacitor voltage is connected to the arm circuit in the positive direction; in the negative switching state, the capacitor voltage is connected in the reverse direction; and in the blocking state, the capacitor voltage is not connected to the circuit.

[0052] Furthermore, the change in capacitor voltage within each simulation time step is calculated through trapezoidal integration, and then the time-domain equivalent model is determined, thereby obtaining the corresponding time-domain equivalent model of the capacitor. Finally, the switching function model and the time-domain equivalent model of the capacitor are integrated to construct the equivalent model of each converter sub-module. The equivalent model can reflect the electrical characteristics of the sub-module under different switching states, including its voltage output, current path, and the dynamic change of the capacitor voltage. In this embodiment, by constructing the switching function model and the time-domain equivalent model of the capacitor and integrating them to construct the equivalent model of the converter, the power electronic circuit inside the modular multilevel converter can be simplified, the number of network equations to be solved in the simulation can be reduced, thereby significantly improving the speed of electromagnetic transient simulation and accelerating the deployment and operation of the modular multilevel converter in the medium-voltage distribution network.

[0053] Optionally, in the method for processing components of the power grid provided in the embodiment of the present application, constructing the switching function model of each converter sub-module to obtain M switching function models includes: obtaining a preset switching function and obtaining the relationship between the preset switching function and the capacitor voltage to obtain a switching function relationship, where the preset switching function is used to indicate the switching state; constructing an initial switching function model of each converter sub-module based on the preset switching function and the switching function relationship to obtain M initial switching function models; determining the circuit characteristics of each converter sub-module under different switching states, and simplifying each initial switching function model respectively according to the circuit characteristics to obtain M switching function models, where the voltage source of each switching function model is the equivalent voltage of the capacitor of each converter sub-module, and the resistance of each switching function model is the equivalent resistance of each converter sub-module.

[0054] Specifically, the switching function relationship can be: where S ix is the 0 / 1 switching signal of the converter sub-module, U Cix represents the capacitor voltage of the i-th sub-module, I Cix represents the current passing through the capacitor of the i-th sub-module, i SMix represents the output current of the i-th sub-module, U SMixdenotes the output voltage of the $i$-th sub-module. When constructing a switching function model based on this switching function relationship and the switching function, Figure 2 is a schematic diagram of the sub-module equivalent model provided by the embodiments of the present application Figure 1 , Figure 3 is a schematic diagram of the sub-module equivalent model provided by the embodiments of the present application Figure 2 , such as Figure 2 , Figure 3 shown, a controlled voltage source and a current source can be used to represent the sub-module. That is, in the simplified model, the capacitor voltage is equivalent to a voltage source, and the resistance characteristic of the switching component is equivalent to a resistance value. To further improve the simulation efficiency of the equivalent model of the sub-module under a certain simulation accuracy, the sub-module can be simplified. For example, when the capacitor is an ideal voltage-sharing capacitor, that is, the capacitor voltages in the bridge arm can always remain equal, the Thevenin circuit of the original bridge arm equivalent model can be replaced by the sub-module equivalent model. When defining $S$ N $=(ΣS$ i )$ / N$ as the equivalent switching signal of the bridge arm, $C$ arm $=C$ sm $ / N$ as the equivalent capacitance of the bridge arm, then the controlled voltage source (associated voltage and current) is determined by the following formula: $N$ represents the number of conducting sub-modules, $U$ Carm is the equivalent voltage of the bridge arm, and $I1$ represents the bridge arm current. The capacitor voltage $U$ C is equivalent to the equivalent voltage $U$ Carm of the bridge arm. To simulate the active power loss of the bridge arm, a loss resistance $R$ Loss is added to the bridge arm, $R$ Loss $=NR$ ON . At this time, the equivalent calculation needs to calculate the value of the controlled source through the equivalent switching signal and collect the equivalent capacitance voltage of the bridge arm. At this time, the actual capacitor voltage of the sub-module (that is, the equivalent voltage of the capacitor of the converter sub-module) is: When the modulation strategy is the nearest level approximation modulation, the number of sub-modules put into the bridge arm output by the nearest level modulation can be used to calculate the equivalent switching signal, that is, $S$ N $=N$ ON $ / N$. In this embodiment, by simplifying the complex sub-module circuit into an equivalent circuit model, the number of network equations to be solved in the simulation calculation can be significantly reduced, thereby greatly improving the speed of the electromagnetic transient simulation and being able to accurately reflect the electrical characteristics of the sub-module in different switching states.

[0055] Figure 4 is a schematic diagram of the equivalent model of the capacitor in the time domain provided by the embodiments of the present application, such as Figure 4As shown, optionally, in the method for processing components of a power grid provided in the embodiments of the present application, the trapezoidal integration algorithm is used to determine the capacitance time-domain equivalent model of each converter sub-module, and obtaining M capacitance time-domain equivalent models includes: extracting the capacitance components included in each converter sub-module to obtain M capacitance components; using the trapezoidal integration algorithm to perform a formal transformation on the voltage equation of each capacitance component to obtain M voltage equations in differential form; processing each voltage equation in differential form to obtain M capacitance time-domain equivalent models.

[0056] Specifically, the voltage equation describes the change of the capacitance component voltage over time. The trapezoidal integration algorithm is a numerical integration technique that can discretize differential equations and thus achieve numerical solutions. When simulating capacitance components, first, the capacitance components included in the converter sub-module need to be extracted, and then the trapezoidal integration algorithm is used to equivalent each capacitance. The voltage equation of the capacitance is transformed into a numerical difference form using the trapezoidal integration algorithm, thereby realizing the transformation of the capacitor into a voltage source and a resistor. The voltage of the capacitance component included in the converter sub-module is: After the transformation using the trapezoidal integration algorithm, we can obtain: where Δt is the simulation step size, C represents capacitance, i c represents the capacitance current, and u c represents the capacitance voltage. When , at this time, we can obtain: u c (t) = R C i c (t) + u c_eq (t - Δt), where R C represents the capacitance resistance, and u c_eq represents the voltage value of the capacitance of the sub-module. Finally, using Thevenin's theorem, it can be transformed into a capacitance time-domain equivalent model. Among them, the capacitance component is simplified to a combination of a voltage source and a resistor. The voltage source reflects the voltage state of the capacitance component, while the resistor characterizes the energy loss of the capacitance. It should be noted that the value of the voltage source is calculated according to the voltage equation of the capacitance component and the current within the current simulation step, and the resistance value is determined based on the working state of the capacitance component. In this embodiment, by using the trapezoidal integration algorithm to transform the continuous-time voltage equation into a difference equation, the solution of differential equations in simulation iterations is reduced, thereby significantly improving the overall efficiency, shortening the simulation time. The constructed capacitance time-domain equivalent model can more accurately simulate the dynamic behavior of capacitance components under different working conditions, ensuring the accuracy of the simulation results of the modular multilevel converter.

[0057] Optionally, in the method for processing components of a power grid provided in the embodiments of the present application, constructing an equivalent circuit according to M converter equivalent models includes: combining M converter sub-modules according to component layout information to obtain Y module arms, where Y is a positive integer; performing equivalence on each module arm based on the converter equivalent model in each module arm to obtain Y arm equivalent models, and constructing an equivalent circuit according to the Y arm equivalent models.

[0058] Specifically, since the converter sub-module includes a half-bridge sub-module and a full-bridge sub-module, Figure 5 is a schematic diagram of the equivalent circuit of the half-bridge sub-module provided in the embodiments of the present application, as Figure 5 shown, where u i is the sub-module terminal voltage, i arm (t) is the arm current, T1 and T2 represent insulated gate bipolar transistors, D1 and D2 represent the corresponding anti-parallel diodes, and the voltage of the capacitor C is V C . After the converter sub-module is equivalent by Thevenin's theorem, the insulated gate bipolar transistor anti-parallel diode is equivalent to two resistors R1 and R2 according to its operating state, and their magnitudes can be very large (such as several megohms) or very small (such as several milliohms). The specific resistance value will be determined by the gate control signal and the direction of current and voltage. The capacitor can be equivalent to a resistor in series with a voltage source.

[0059] To achieve further equivalence, Thevenin's theorem can be used to further equivalent the circuit of the half-bridge sub-module so that it has only the form of a voltage source in series with a resistor. Figure 6 is a schematic diagram of the Thevenin equivalent model provided in the embodiments of the present application, as Figure 6 shown. Through equivalence, the sub-module voltage can be: u SM (t) = r SM_eq (t)i MV (t) + u SM_eq (t - Δt), and the sub-module equivalent resistance is: The internal Thevenin equivalent power source of the sub-module is: where, i MV (t) represents the external current flowing through the half-bridge sub-module, with the direction from top to bottom, R1(t) represents the equivalent resistance of the insulated gate bipolar transistor and diode on the upper side of the half-bridge sub-module, R2(t) represents the equivalent resistance of the IGBT and diode on the lower side of the half-bridge sub-module, R C represents the equivalent resistance of the capacitor of the half-bridge sub-module, and u C_eq (t - Δt) represents the value of the equivalent voltage source of the capacitor of the half-bridge sub-module.

[0060] Figure 7 is a schematic diagram of the equivalent circuit of the full-bridge sub-module provided in the embodiments of the present application, asFigure 7 As shown, \(u_i\) in the circuit is the sub-module terminal voltage, and \(i\) arm (t) is the arm current, \(T_1\) to \(T_4\) represent insulated gate bipolar transistors, \(D_1\) to \(D_4\) represent the corresponding anti-parallel diodes, the voltage of capacitor \(C\) is \(V\) C , and \(N_1\) and \(N_2\) are port node identifiers.

[0061] When performing equivalent modeling on the full-bridge sub-module, the operating state of the full-bridge sub-module can be divided into three parts according to the different enable signals \(EN\); when \(EN = 1\), the full-bridge sub-module outputs \(0\) and \(V\) C , and is in the forward switching state; when \(EN=-1\), the full-bridge sub-module outputs \(0\) and \(-V\) C , and is in the negative switching state; when \(EN = 0\), the full-bridge sub-module outputs \(V\) C and \(-V\) C respectively according to the positive and negative of the current direction. When \(EN = 1\), Figure 8 is a schematic diagram of the equivalent process of the full-bridge sub-module provided by the embodiment of the present application. As Figure 8 shown, when \(EN = 1\), the full-bridge sub-module can be equivalent to a half-bridge sub-module, that is, when Figure 8 (a) \(T_1\) and \(T_4\) are turned on, and \(T_2\) and \(T_3\) are turned off, it can be equivalent to Figure 8 (b) \(T_1'\) is turned on and \(T_2'\) is turned off; when Figure 8 (a) \(T_1\) and \(T_3\) are turned on, \(T_2\) and \(T_4\) are turned off or \(T_2\) and \(T_4\) are turned on, \(T_1\) and \(T_3\) are turned off, it can be equivalent to Figure 8 (b) \(T_1'\) is turned off and \(T_2'\) is turned on. Among them, when \(R_1\) takes a small resistance and \(R_2\) takes a large resistance, the sub-module is in the input state; when \(R_1\) takes a large resistance and \(R_2\) takes a small resistance, the sub-module is in the cut-off state. When \(EN=-1\), only the input direction of the capacitor when the sub-module is input is changed, and its large and small resistance judgment logic is also similar to that when \(EN = 1\).

[0062] Figure 9 is an equivalent schematic diagram of the converter provided by the embodiment of the present application. As Figure 9 shown, by performing Thevenin equivalent on each arm of the entire modular multilevel converter, all the sub-modules of the arm can be equivalent to the form of a resistor in series with a voltage source. At this time, the equivalent external circuit voltage of all the sub-modules of the arm is: Among them, \(n_{b\_SM}\) represents the number of series sub-modules of an arm of the modular multilevel converter, \(R\) eq_i (t) represents the Thevenin equivalent resistance value of the sub-module, \(U\) eq_i (t - \(\Delta t\)) represents the voltage value of the Thevenin equivalent voltage source of the sub-module, \(I\) eq_i (t - \(\Delta t\)) represents the current value of the Thevenin equivalent voltage source of the sub-module, \(i\) arm(t) represents the arm current value. Simplifying the above equation gives: u SM (t) = R eq (t)i arm (t) + U eq (t - Δt), where Construct an equivalent circuit according to the arm equivalent model in the above manner.

[0063] Optionally, in the method for processing components of the power grid provided in the embodiments of the present application, after constructing the equivalent circuit according to the M converter equivalent models, the method further includes: obtaining a model predictive controller, using the model predictive controller to operate the equivalent circuit to obtain a circuit control signal; obtaining a preset simulation waveform, and when the simulation waveform of the circuit control signal coincides with the preset simulation waveform, the equivalent circuit simulation is normal.

[0064] It should be noted that the model predictive controller (Model Predictive Control, MPC), as an advanced control strategy, is widely used to improve the operation efficiency, dynamic response and stability of the modular multilevel converter. By operating the equivalent circuit model of the modular multilevel converter and using the model predictive controller to generate a circuit control signal, it can ensure that the simulation waveform of the circuit coincides highly with the preset simulation waveform, thereby verifying the accuracy and effectiveness of the equivalent circuit model. When performing simulation using the model predictive controller, an equivalent circuit model of the modular multilevel converter can be built in the simulation software, and then the model predictive controller is used to generate a circuit control signal in the equivalent circuit model. The control signal is used to adjust the switching state in the modular multilevel converter, such as the conduction and cut-off of insulated gate bipolar transistors, so as to control the voltage and current output of the arm. Finally, the equivalent circuit model is run to obtain the simulation waveforms of the circuit under different working conditions, including capacitor voltage, arm current, AC voltage and current, etc.

[0065] After the operation is completed, the simulation waveform generated by running the equivalent circuit model is compared and analyzed in detail with the preset simulation waveform, and the simulation accuracy of the equivalent circuit model is evaluated by calculating the error between the waveforms, such as the mean square error. If the simulation waveform of the circuit control signal coincides highly with the preset simulation waveform and there are no abnormal oscillations, overvoltage / undervoltage, current distortion and other phenomena, this indicates that the equivalent circuit model of the modular multilevel converter can achieve accurate dynamic simulation under various working conditions, and the normal simulation results verify the effectiveness and reliability of the model. In this embodiment, by comparing with the preset simulation waveform, the simulation accuracy of the equivalent circuit model under different working conditions can be verified, ensuring that the modular multilevel converter can achieve the expected dynamic performance and stability during actual operation.

[0066] It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. And although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0067] The embodiment of the present application also provides a method for processing components of a power grid. Figure 10 It is a schematic diagram of an optional method for processing components of a power grid provided according to the embodiment of the present application. As Figure 10 shown, the method includes:

[0068] First, conduct a study on the applicability of the half-bridge MMC in the medium-voltage distribution system. Then, conduct a study on the MMC control strategy under asymmetric operating conditions of the distribution network. Then, use the MMC equivalent scheme to equivalent the modular multilevel converter, thereby constructing an MMC switching function model: First, confirm the type of sub-module in the MMC, that is, the half-bridge sub-module (HBSM) or the full-bridge sub-module (FBSM). For the HBSM, it is necessary to consider its switching state and the update of the capacitor voltage; for the FBSM, it is necessary to additionally process the negative-level output ability of the full-bridge sub-module. Then, according to the enable signal of the sub-module, establish an equivalent switching function model of the HBSM / FBSM. Among them, since the enable signal determines the on and off states of the IGBTs, which in turn affects the output voltage and current of the sub-module, a controlled voltage source and a current source can be used to represent the output characteristics of the sub-module in different states.

[0069] Furthermore, discretize the sub-module capacitor using the trapezoidal integration method and calculate the dynamic change of the capacitor voltage. Then, according to the arm current and the switching state, the capacitor voltage of the sub-module can be updated, that is, the time-domain equivalent model of the sub-module capacitor is obtained. Among them, the trapezoidal integration can reduce the computational burden in the simulation while maintaining a certain simulation accuracy. Further, based on the switching state and the capacitor voltage of the sub-module, the equivalent resistance of the sub-module can be calculated, that is, the HBSM / FBSM equivalent model is obtained. In the half-bridge sub-module, the on-resistance of the IGBT and the diode can be considered to calculate the equivalent resistance; in the full-bridge sub-module, the equivalent resistance during negative-level output also needs to be additionally calculated. At this time, the on and off states of the four IGBTs and the corresponding diodes can be considered. Finally, according to the above models, the Thevenin equivalent model of the sub-module is built. Among them, for the HBSM, the model includes an equivalent voltage source and an equivalent resistance; for the FBSM, the model includes an equivalent voltage source and an equivalent resistance, and the circuit equivalent of negative-level output also needs to be considered. Equivalent all the sub-modules of each arm to a series model of a voltage source and a resistance, and then obtain the HBSM / FBSM arm equivalent model, in this way, reducing the complexity of the simulation network and improving the simulation efficiency.

[0070] Furthermore, simulation verification is carried out using simulation software, and the operation flexibility and power supply reliability of the medium-voltage distribution network are improved based on the verified equivalent model.

[0071] The embodiment of the present application also provides a component processing device for a power grid. It should be noted that the component processing device for the power grid in the embodiment of the present application can be used to execute the method for processing components of the power grid provided in the embodiment of the present application. The following introduces the component processing device for the power grid provided in the embodiment of the present application.

[0072] Figure 11 is a schematic diagram of the component processing device for the power grid provided in the embodiment of the present application, as Figure 11 shown, the device includes: a determination unit 1101, an equivalent unit 1102, and a replacement unit 1103.

[0073] The determination unit 1101 is configured to determine the target type of the converter in the medium-voltage distribution network according to the configuration information of the medium-voltage distribution network, and obtain the component layout information of the converter in the medium-voltage distribution network, where the converter includes M converter sub-modules, and the target type includes one of the following: half-bridge type and full-bridge type, and M is a positive integer;

[0074] The equivalent unit 1102 is configured to perform model equivalence on each converter sub-module according to the component layout information and according to the target type to obtain M converter equivalent models, and construct an equivalent circuit according to the M converter equivalent models;

[0075] The replacement unit 1103 is configured to replace the converter in the medium-voltage distribution network with the equivalent circuit when there is no abnormality in the equivalent circuit simulation, so as to obtain the replaced medium-voltage distribution network.

[0076] For the component processing device for the power grid provided in the embodiment of the present application, the determination unit 1101 determines the target type of the converter in the medium-voltage distribution network according to the configuration information of the medium-voltage distribution network, and obtains the component layout information of the converter in the medium-voltage distribution network, where the converter includes M converter sub-modules, and the target type includes one of the following: half-bridge type and full-bridge type, and M is a positive integer; the equivalent unit 1102 performs model equivalence on each converter sub-module according to the component layout information and according to the target type to obtain M converter equivalent models, and constructs an equivalent circuit according to the M converter equivalent models; the replacement unit 1103 replaces the converter in the medium-voltage distribution network with the equivalent circuit when there is no abnormality in the equivalent circuit simulation, so as to obtain the replaced medium-voltage distribution network, which solves the problem of low control efficiency in the related technology when using the converter to control the medium-voltage distribution network. By performing model equivalence on each converter sub-module according to the component layout information and according to the target type to obtain the corresponding converter equivalent model, and then constructing an equivalent circuit, and replacing the converter in the medium-voltage distribution network with the equivalent circuit, the effect of improving the response speed and control accuracy is achieved.

[0077] Optionally, in the component processing device of the power grid provided in the embodiments of the present application, the equivalent unit 1102 includes: a first construction module, configured to construct a switching function model for each converter sub-module, obtaining M switching function models, where each switching function model is used to characterize the electrical characteristics of each converter sub-module in different switching states, and the switching states include at least one of the following: forward switching, reverse switching, and blocking state; a first determination module, configured to determine the capacitance time-domain equivalent model for each converter sub-module by using the trapezoidal integration algorithm, obtaining M capacitance time-domain equivalent models; a second construction module, configured to construct an equivalent model respectively according to the switching function models and capacitance time-domain equivalent models of the M converter sub-modules, obtaining M converter equivalent models.

[0078] Optionally, in the component processing device of the power grid provided in the embodiments of the present application, the equivalent unit 1102 includes: an acquisition module, configured to acquire a preset switching function and acquire the relationship between the preset switching function and the capacitor voltage, obtaining a switching function relationship, where the preset switching function is used to indicate the switching state; a third construction module, configured to construct an initial switching function model for each converter sub-module based on the preset switching function and the switching function relationship, obtaining M initial switching function models; a second determination module, configured to determine the circuit characteristics of each converter sub-module in different switching states, and simplify each initial switching function model respectively according to the circuit characteristics, obtaining M switching function models, where the voltage source of each switching function model is the equivalent voltage of the capacitor of each converter sub-module, and the resistance of each switching function model is the equivalent resistance of each converter sub-module.

[0079] Optionally, in the component processing device of the power grid provided in the embodiments of the present application, the equivalent unit 1102 includes: an extraction module, configured to extract the capacitance components included in each converter sub-module, obtaining M capacitance components; a conversion module, configured to perform a form conversion on the voltage equation of each capacitance component by using the trapezoidal integration algorithm, obtaining M voltage equations in differential form; a processing module, configured to process each voltage equation in differential form, obtaining M capacitance time-domain equivalent models.

[0080] Optionally, in the component processing device of the power grid provided in the embodiments of the present application, the equivalent unit 1102 includes: a combination module, configured to combine the M converter sub-modules according to the component layout information, obtaining Y module arms, where Y is a positive integer; an equivalent module, configured to perform an equivalent on each module arm based on the converter equivalent models in each module arm, obtaining Y arm equivalent models, and construct an equivalent circuit according to the Y arm equivalent models.

[0081] Optionally, in the component processing device of the power grid provided in the embodiments of the present application, the device further includes: a first acquisition unit, configured to acquire a model predictive controller after constructing an equivalent circuit according to M converter equivalent models, and use the model predictive controller to operate the equivalent circuit to obtain a circuit control signal; a second acquisition unit, configured to acquire a preset simulation waveform, and when the simulation waveform of the circuit control signal coincides with the preset simulation waveform, the equivalent circuit simulation is normal.

[0082] Optionally, in the component processing device of the power grid provided in the embodiments of the present application, the determination unit 1101 includes: a judgment module, configured to judge whether the medium-voltage distribution network includes a coupling transformer according to the configuration information; a third determination module, configured to determine the target type of the converter as a half-bridge type when the medium-voltage distribution network includes a coupling transformer; a fourth determination module, configured to determine the target type of the converter as a full-bridge type when the medium-voltage distribution network does not include a coupling transformer.

[0083] The above-mentioned component processing device of the power grid includes a processor and a memory. The above-mentioned determination unit 1101, equivalent unit 1102, replacement unit 1103, etc. are all stored in the memory as program units, and the corresponding functions are implemented by the processor executing the above program units stored in the memory.

[0084] The processor contains a kernel, and the kernel is used to retrieve the corresponding program units from the memory. One or more kernels can be set, and by adjusting the kernel parameters, the problem of low control efficiency in the related art when using a converter to control a medium-voltage distribution network can be solved.

[0085] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of, for example, read-only memory (ROM) or flash memory (flash RAM), and the memory includes at least one storage chip.

[0086] The embodiments of the present invention provide a computer storage medium for storing a program, wherein when the program runs, it controls the device where the computer storage medium is located to execute a method for processing components of a power grid.

[0087] Figure 12 is a schematic diagram of an electronic device provided according to an embodiment of the present application, as Figure 12 shown, the embodiments of the present invention provide an electronic device, which includes a processor, a memory, and a program stored on the memory and executable on the processor. The processor is used to run computer-readable instructions, wherein when the computer-readable instructions run, they execute a method for processing components of a power grid. The device herein can be a server, a PC, a PAD, a mobile phone, etc.

[0088] The present application also provides a computer program product, including a computer program, which when executed by a processor, implements the steps of a method for processing components of a power grid in various embodiments of the present application.

[0089] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) containing computer-usable program code.

[0090] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one or more flows and / or blocks Figure 1 one or more blocks.

[0091] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that implement the functions specified in Figure 1 one or more flows and / or blocks Figure 1 one or more blocks.

[0092] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are performed on the computer or other programmable device to generate a computer-implemented process, so that the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one or more flows and / or blocks Figure 1 one or more blocks.

[0093] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and a memory.

[0094] The memory may include non-permanent memory in the form of computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0095] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can store information by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette tapes, magnetic disk storage or other magnetic storage devices, or any other non-transitory medium that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory media such as modulated data signals and carrier waves.

[0096] It should also be noted that the term "comprising", "including" or any other variation thereof is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but also other elements not expressly listed, or elements that are inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus that comprises the element.

[0097] The above are only embodiments of the present application and are not used to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. A method for processing components of a power grid, characterized in that, Including: Determine the target type of the converters in the medium-voltage distribution network according to the configuration information of the medium-voltage distribution network, and obtain the component layout information of the converters in the medium-voltage distribution network, where the converter includes M converter sub-modules, and the target type includes one of the following: half-bridge type and full-bridge type, and M is a positive integer; According to the component layout information and based on the target type, perform model equivalence on each converter sub-module to obtain M converter equivalent models, and construct an equivalent circuit according to the M converter equivalent models; When there is no abnormality in the simulation of the equivalent circuit, replace the converters in the medium-voltage distribution network with the equivalent circuit to obtain the replaced medium-voltage distribution network.

2. The method according to claim 1, wherein Performing model equivalence on each converter sub-module according to the component layout information and based on the target type to obtain M converter equivalent models includes: Construct a switching function model for each converter sub-module to obtain M switching function models, where each switching function model is used to characterize the electrical characteristics of each converter sub-module in different switching states, and the switching states at least include one of the following: forward switching, reverse switching, and blocking state; Use the trapezoidal integration algorithm to determine the capacitance time-domain equivalent model of each converter sub-module to obtain M capacitance time-domain equivalent models; Construct equivalent models respectively according to the switching function models and capacitance time-domain equivalent models of the M converter sub-modules to obtain the M converter equivalent models.

3. The method according to claim 2, characterized in that, Constructing a switching function model for each converter sub-module to obtain M switching function models includes: Obtain a preset switching function, and obtain the relationship between the preset switching function and the capacitor voltage to obtain a switching function relationship, where the preset switching function is used to indicate the switching state; Based on the preset switching function and the switching function relationship, construct an initial switching function model for each converter sub-module to obtain M initial switching function models; Determine the circuit characteristics of each converter sub-module in different switching states, and simplify each initial switching function model respectively according to the circuit characteristics to obtain the M switching function models, where the voltage source of each switching function model is the equivalent voltage of the capacitor of each converter sub-module, and the resistance of each switching function model is the equivalent resistance of each converter sub-module.

4. The method according to claim 2, wherein Using the trapezoidal integration algorithm to determine the capacitance time-domain equivalent model of each converter sub-module to obtain M capacitance time-domain equivalent models includes: Extract the capacitor components included in each converter sub-module to obtain M capacitor components; Use the trapezoidal integration algorithm to perform form conversion on the voltage equation of each capacitor component to obtain M voltage equations in differential form; Process each voltage equation in differential form to obtain the M capacitance time-domain equivalent models.

5. The method according to claim 1, characterized in that, Constructing an equivalent circuit according to the M converter equivalent models includes: Combine the M converter sub-modules according to the component layout information to obtain Y module bridge arms, where Y is a positive integer; Based on the converter equivalent models in each module bridge arm, perform equivalence on each module bridge arm to obtain Y bridge arm equivalent models, and construct the equivalent circuit according to the Y bridge arm equivalent models.

6. The method according to claim 1, characterized in that, After constructing an equivalent circuit according to the M converter equivalent models, the method further includes: Obtaining a model predictive controller, and using the model predictive controller to operate the equivalent circuit to obtain a circuit control signal; Obtaining a preset simulation waveform, and when the simulation waveform of the circuit control signal coincides with the preset simulation waveform, there is no abnormality in the equivalent circuit simulation.

7. The method according to claim 1, wherein Determining the target type of the converter in the medium-voltage distribution network according to the configuration information of the medium-voltage distribution network includes: Judging whether the medium-voltage distribution network includes a coupling transformer according to the configuration information; When the medium-voltage distribution network includes the coupling transformer, determining the target type of the converter as the half-bridge type; When the medium-voltage distribution network does not include the coupling transformer, determining the target type of the converter as the full-bridge type.

8. A component processing device for a power grid, characterized in that, Includes: A determining unit, configured to determine the target type of the converter in the medium-voltage distribution network according to the configuration information of the medium-voltage distribution network, and obtain the component layout information of the converter in the medium-voltage distribution network, where the converter includes M converter sub-modules, and the target type includes one of the following: half-bridge type and full-bridge type, and M is a positive integer; An equivalent unit, configured to perform model equivalence on each converter sub-module according to the component layout information and according to the target type to obtain M converter equivalent models, and construct an equivalent circuit according to the M converter equivalent models; A replacement unit, configured to replace the converter of the medium-voltage distribution network with the equivalent circuit when there is no abnormality in the equivalent circuit simulation, to obtain a replaced medium-voltage distribution network.

9. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the method for processing components of the power grid according to any one of claims 1 to 7.

10. An electronic device, characterized in that, Includes one or more processors and a memory, where the memory is used to store one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method for processing components of the power grid according to any one of claims 1 to 7.

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