Layered coordinated scheduling method and device for main and distribution networks considering unified power flow controller and flexible alternating-current and direct-current interconnection

Abstract

The invention discloses a main and distribution network hierarchical coordinated scheduling method and device considering a unified power flow controller and flexible alternating current and direct current interconnection, which are used for solving the technical problem of poor system dynamic stability of a main and distribution network caused by the existing main and distribution network coordinated scheduling technology based on the unified power flow controller. The method comprises the steps of obtaining main and distribution network power flow data and a topological structure, and generating an initial main network power reference instruction, a node power-voltage sensitivity matrix and converter reference power in combination with a double-voltage source equivalent model of a preset UPFC; and obtaining an initial node cluster converter power instruction and a UPFC active power regulation instruction by using the data and the sensitivity matrix based on a Newton-Raphson method combined power flow model. And calculating a weight coefficient through the initial main network power reference instruction and the UPFC regulation instruction, and correcting the initial instruction and the converter reference power according to the weight coefficient. And finally, a main and distribution network hierarchical coordinated scheduling scheme is formed.

Description

Technical Field

[0001] The present invention relates to the technical field of smart grid optimization and dispatching, and in particular to a method and device for hierarchical coordinated dispatching of a main distribution network taking into account a unified power flow controller and flexible AC / DC interconnection. Background Art

[0002] In the current context of new power system development, the core challenge facing coordinated dispatching technology for main and distribution networks stems from the incompatibility between traditional technical architectures and the application of new power electronics equipment. For example, the Unified Power Flow Controller (UPFC), a core component of Flexible AC Transmission Systems (FACTS), primarily focuses on static power flow optimization on the main grid side. It achieves the single goal of line impedance regulation and node voltage stability through the coordinated control of series transformers and shunt converters.

[0003] By innovatively integrating the coordinated control mechanism of series transformers and shunt converters, UPFCs perform three fundamental functions at the traditional main grid level: first, dynamic line impedance regulation based on a quasi-steady-state model, optimizing power flow distribution by adjusting equivalent reactance in real time; second, precise and stable voltage control at key nodes, leveraging the reactive power compensation capabilities of shunt converters to keep voltage fluctuations within a strict ±1% range; and finally, a marginal increase in system transmission capacity, potentially increasing the transmission capacity of existing corridors by 20%-30% without expanding physical lines. However, this traditional optimization paradigm, focused on a single device and a single network layer, has become unsuitable for the new demands of the deep interaction between source, grid, load, and storage in the new power system. Especially under the dual impact of a high proportion of renewable energy grid connection (the penetration rate of wind and solar power in some areas has exceeded 50%) and diversified load characteristics (such as new loads such as electric vehicle fast charging stations and data centers), the limitations of traditional UPFC control strategies in dynamic response speed (typical value 50-100ms), multi-objective collaborative optimization and cross-level interaction are becoming increasingly prominent. It is urgent to break through the constraints of the existing technical framework and build a new main and distribution network coordinated dispatching system that adapts to the development needs of new power systems.

[0004] Most existing coordinated dispatching technologies for main and distribution networks based on unified power flow controllers adopt a fixed time scale optimization strategy. However, this strategy can neither adapt to the millisecond-level inertial response requirements of the main network UPFC nor match the second-level adjustment characteristics of the distribution network's flexible resources. This lack of multi-time scale coordination capability directly causes spatiotemporal misalignment of cross-level control instructions, resulting in poor system dynamic stability of the main and distribution networks. Summary of the Invention

[0005] The present invention provides a method and device for hierarchical coordinated scheduling of a main distribution network taking into account a unified power flow controller and flexible AC / DC interconnection, which is used to solve the technical problem of poor system dynamic stability of the main distribution network caused by the existing main distribution network coordinated scheduling technology based on a unified power flow controller.

[0006] A first aspect of the present invention provides a method for hierarchical coordinated scheduling of a main distribution network taking into account a unified power flow controller and flexible AC / DC interconnection, comprising:

[0007] Obtaining the main distribution network power flow data and the main distribution network topology, and using a preset unified power flow controller dual voltage source equivalent model to generate an initial main network power reference instruction, a node power-voltage sensitivity matrix, and a reference power of the converter according to the main distribution network topology and preset virtual nodes;

[0008] The joint power flow model solved by the Newton-Raphson method generates an initial node cluster converter power instruction and an initial unified power flow controller active power adjustment instruction based on the main distribution network power flow data, the node power-voltage sensitivity matrix, and the initial main network power reference instruction;

[0009] Calculating a weight coefficient based on the initial main grid power reference instruction and the initial unified power flow controller active power adjustment instruction;

[0010] The initial main network power reference instruction, the initial node cluster converter power instruction and the initial unified power flow controller active power adjustment instruction are modified according to the weight coefficient and the reference power of the converter to generate a main and distribution network hierarchical coordinated scheduling plan.

[0011] Optionally, the using of a preset unified power flow controller dual voltage source equivalent model to generate an initial main network power reference instruction, a node power-voltage sensitivity matrix, and a reference power of a converter according to the main distribution network topology and preset virtual nodes includes:

[0012] Constructing an initial admittance matrix according to the main distribution network topology;

[0013] Based on the preset unified power flow controller dual voltage source equivalent model, determine the unified power flow controller series equivalent impedance;

[0014] The unified power flow controller is used to connect equivalent impedances in series and preset virtual nodes to modify the initial admittance matrix and output a dynamic admittance matrix;

[0015] Calculating a node power-voltage sensitivity matrix based on the dynamic admittance matrix;

[0016] With the goal of minimizing system frequency deviation and network loss, the multi-mode control constraints of the unified power flow controller are set, and the multi-mode control model of the unified power flow controller is constructed.

[0017] Solving the unified power flow controller multi-mode control model to generate an initial main grid power reference instruction;

[0018] Based on the initial main grid power reference instruction, a reference power of the converter is determined.

[0019] Optionally, the main distribution network flow data includes power data of multiple distribution network nodes and voltage amplitudes of multiple distribution network nodes; the joint power flow model solved by the Newton-Raphson method generates an initial node cluster converter power instruction and an initial unified power flow controller active power adjustment instruction based on the main distribution network flow data, the node power-voltage sensitivity matrix, and the initial main network power reference instruction, including:

[0020] Calculating the series side voltage of the unified power flow controller based on the initial main grid power reference command and the node power-voltage sensitivity matrix;

[0021] Outputting equivalent injection power of multiple distribution network nodes according to the series side voltage of the unified power flow controller;

[0022] Determine the injection powers of multiple distribution network nodes according to the equivalent injection powers of multiple distribution network nodes using the joint power flow model solved by the Newton-Raphson method;

[0023] Calculating electrical coupling degrees of a plurality of distribution network nodes based on the voltage amplitude of each distribution network node;

[0024] Calculating the source-load matching degree of multiple distribution network nodes according to the power data of each distribution network node;

[0025] Screening distribution network nodes based on the electrical coupling degree of each distribution network node and the source-load matching degree of each distribution network node to determine multiple target distribution network nodes;

[0026] Calculate the power of the distribution network node cluster according to the source-load matching degree corresponding to each target distribution network node and the distribution network node injection power;

[0027] Based on the distribution network node cluster power, an initial node cluster converter power instruction and an initial unified power flow controller active power adjustment instruction are generated.

[0028] Optionally, the generating, based on the distribution network node cluster power, an initial node cluster converter power instruction and an initial unified power flow controller active power adjustment instruction includes:

[0029] Determining a unified power flow controller action priority weight and a converter action priority weight according to the power of the distribution network node cluster;

[0030] Based on the unified power flow controller action priority weight and the distribution network node cluster power, generating an initial unified power flow controller active power adjustment instruction;

[0031] An initial node cluster converter power instruction is generated based on the converter action priority weight and the distribution network node cluster power.

[0032] Optionally, the calculating a weight coefficient based on the initial main grid power reference instruction and the initial unified power flow controller active power adjustment instruction includes:

[0033] Determining a power supply capability matching index based on the initial main grid power reference instruction and the initial unified power flow controller active power adjustment instruction;

[0034] A weight coefficient is determined according to the power supply capability matching index.

[0035] Optionally, the modifying the initial main network power reference instruction, the initial node cluster converter power instruction, and the initial unified power flow controller active power adjustment instruction according to the weight coefficient and the reference power of the converter to generate a main and distribution network hierarchical coordinated scheduling scheme includes:

[0036] With the goal of minimizing the total operating cost of the main and distribution networks, the main and distribution network operation constraints are set and a day-ahead economic dispatch model is constructed.

[0037] Solving the day-ahead economic dispatch model based on the initial main grid power reference command and the initial unified power flow controller active power regulation command to generate a target main grid power reference command and a target unified power flow controller active power regulation command;

[0038] With the goal of minimizing converter power deviation, converter port power constraints are set and an intraday rolling correction model is constructed.

[0039] Solving the intraday rolling correction model based on the initial node cluster converter power instruction, the reference power of the converter, and the weight coefficient to generate a target node cluster converter power instruction;

[0040] A main and distribution network hierarchical coordinated scheduling plan is generated according to the target main network power reference instruction, the target unified power flow controller active power adjustment instruction, and the target node cluster converter power instruction.

[0041] A second aspect of the present invention provides a main distribution network hierarchical coordinated scheduling device taking into account a unified power flow controller and flexible AC / DC interconnection, comprising:

[0042] An acquisition module is used to obtain the main distribution network power flow data and the main distribution network topology, and use a preset unified power flow controller dual voltage source equivalent model to generate an initial main network power reference instruction, a node power-voltage sensitivity matrix, and a reference power of the converter according to the main distribution network topology and preset virtual nodes;

[0043] An instruction generation module is used to generate an initial node cluster converter power instruction and an initial unified power flow controller active power adjustment instruction based on the main distribution network power flow data, the node power-voltage sensitivity matrix, and the initial main network power reference instruction using a joint power flow model solved by the Newton-Raphson method;

[0044] A calculation module, configured to calculate a weight coefficient based on the initial main network power reference instruction;

[0045] A scheme generation module is used to correct the initial main network power reference instruction, the initial node cluster converter power instruction and the initial unified power flow controller active power adjustment instruction according to the weight coefficient and the reference power of the converter, and generate a main and distribution network hierarchical coordinated scheduling scheme.

[0046] A third aspect of the present invention provides a computer device comprising a memory and a processor, wherein a computer program is stored in the memory. When the computer program is executed by the processor, the processor executes the steps of the main distribution network hierarchical coordinated scheduling method taking into account the unified power flow controller and flexible AC / DC interconnection as described in any one of the above items.

[0047] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed, implements the steps of the main distribution network hierarchical coordinated scheduling method taking into account the unified power flow controller and flexible AC / DC interconnection as described in any one of the above items.

[0048] A fifth aspect of the present invention provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions, wherein when the program instructions are executed by a computer, the computer is caused to execute the steps of the main distribution network hierarchical coordinated scheduling method taking into account the unified power flow controller and flexible AC / DC interconnection as described in any one of the above items.

[0049] It can be seen from the above technical solutions that the present invention has the following advantages:

[0050] The above scheme of the present invention provides a main distribution network hierarchical coordinated scheduling method taking into account the unified power flow controller and flexible AC / DC interconnection, obtains the main distribution network power flow data and the main distribution network topology, and uses a preset unified power flow controller dual voltage source equivalent model to generate the initial main network power reference instruction, the node power-voltage sensitivity matrix, and the reference power of the converter according to the main distribution network topology and the preset virtual node; uses the joint power flow model solved by the Newton-Raphson method to generate the initial node cluster converter power instruction and the initial unified power flow controller active power adjustment instruction based on the main distribution network power flow data, the node power-voltage sensitivity matrix, and the initial main network power reference instruction; based on the initial main network power reference instruction and the initial unified power flow controller active power regulation instruction to calculate the weight coefficient; according to the weight coefficient and the reference power of the converter, the initial main grid power reference instruction, the initial node cluster converter power instruction and the initial unified power flow controller active power regulation instruction are corrected to generate a main and distribution network hierarchical coordinated scheduling scheme; based on the above scheme, the present invention adopts a preset unified power flow controller dual voltage source equivalent model to generate a node power-voltage sensitivity matrix according to the main distribution network topology and preset virtual nodes, which can reconstruct the main grid power sensitivity, and combined with the dynamic allocation of weights based on the initial main grid power reference instruction, realize the two-way power flexible mutual assistance of the main and distribution network, thereby effectively improving the system dynamic stability of the main distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0052] Figure 1 A flowchart of the steps of a method for hierarchical coordinated scheduling of a main distribution network taking into account a unified power flow controller and flexible AC / DC interconnection provided in the first embodiment of the present invention;

[0053] Figure 2 This is a diagram of the hierarchical coordination architecture of the main and distribution networks provided in the first embodiment of the present invention;

[0054] Figure 3 This is a structural diagram of the UPFC device provided in Example 1 of the present invention;

[0055] Figure 4 This is a structural diagram of the equivalent model of the UPFC provided in the first embodiment of the present invention;

[0056] Figure 5 This is a flow chart of the main distribution network power coordination provided in the first embodiment of the present invention;

[0057] Figure 6 A closed-loop feedback technology roadmap provided for the first embodiment of the present invention;

[0058] Figure 7 A technical roadmap for hierarchical coordination of the main and distribution networks provided in Example 1 of the present invention;

[0059] Figure 8 This is a structural block diagram of a main and distribution network hierarchical coordinated scheduling device taking into account a unified power flow controller and flexible AC / DC interconnection, provided in the second embodiment of the present invention. DETAILED DESCRIPTION

[0060] The embodiments of the present invention provide a method and device for hierarchical coordinated scheduling of a main distribution network taking into account a unified power flow controller and flexible AC / DC interconnection, which is used to solve the technical problem of poor system dynamic stability of the main distribution network caused by the existing main distribution network coordinated scheduling technology based on a unified power flow controller.

[0061] In order to make the purpose, features, and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0062] See also Figure 1 , Figure 1 A flowchart of the steps of a method for hierarchical coordinated scheduling of a main distribution network taking into account a unified power flow controller and flexible AC / DC interconnection is provided in accordance with the first embodiment of the present invention.

[0063] The present invention provides a method for hierarchical coordinated scheduling of a main distribution network taking into account a unified power flow controller and flexible AC / DC interconnection, comprising:

[0064] Step 101: Obtain the main distribution network power flow data and the main distribution network topology, and use the preset unified power flow controller dual voltage source equivalent model to generate the initial main network power reference instruction, the node power-voltage sensitivity matrix, and the reference power of the converter according to the main distribution network topology and preset virtual nodes.

[0065] It should be noted that the real-time measurement data of the SCADA (Supervisory Control and Data Acquisition) system is connected to extract the main distribution network flow data from it. The main distribution network flow data includes the voltage amplitude V of the distribution network node i i (kV) and line ij power P ij (MW), reactive power of distribution network node Q i(Mvar), power data of distribution network node i, including the distributed power output (MW) of distribution network node i and the load power (MW) of distribution network node i. Build a dynamic model of the main network dispatching layer, generate power benchmark instructions through dynamic admittance matrix correction and sensitivity analysis, and provide the initial control basis for the main distribution network coordination. The main distribution network layered coordination architecture is shown in the figure below. Figure 2 shown.

[0066] Specifically, step 101 may include the following sub-steps S11-S1:

[0067] Step S11: construct an initial admittance matrix according to the main distribution network topology;

[0068] Step S12: determining the unified power flow controller series equivalent impedance based on a preset unified power flow controller dual voltage source equivalent model;

[0069] Step S13: Using a unified power flow controller to connect equivalent impedances in series and preset virtual nodes to correct the initial admittance matrix and output a dynamic admittance matrix;

[0070] Step S14: Calculate the node power-voltage sensitivity matrix based on the dynamic admittance matrix;

[0071] Step S15: setting the unified power flow controller multi-mode control constraints and constructing a unified power flow controller multi-mode control model with the goal of minimizing system frequency deviation and network loss;

[0072] Step S16: Solve the unified power flow controller multi-mode control model to generate an initial main grid power reference instruction;

[0073] Step S17: Determine the reference power of the converter based on the initial main grid power reference instruction.

[0074] It should be noted that according to the grid topology, the initial node admittance matrix is ​​constructed , .

[0075] Where G is conductance (S); B is susceptance (S); P ij is the active power transmitted between nodes i and j; Q ij is the reactive power transmitted between nodes i and j; The matrix element in the nth row and nth column of the initial node admittance matrix. The constructed initial admittance matrix provides the basic network parameters for the dynamic admittance matrix generated after UPFC virtual node modeling.

[0076] Furthermore, the device structure diagram of the unified power flow controller (UPFC) is as follows Figure 3The dual voltage source equivalent model of UPFC (preset unified power flow controller dual voltage source equivalent model) is shown as Figure 4 As shown, its equivalent model takes the series side as a voltage source , its amplitude is adjustable, phase Controllable; the same applies to the parallel side. Among them, the UPFC series equivalent impedance Calculation method: Based on the voltage injection characteristics of the UPFC series side, a preset virtual node k is inserted into the initial node admittance matrix, and the modified dynamic admittance matrix Y dyn for: Among them, the admittance matrix correction value after adding the UPFC equivalent model (preset unified power flow controller dual voltage source equivalent model) is:

[0077] ;

[0078] in, , represents the mutual admittance between the virtual node k and the original node m, is the UPFC series equivalent impedance (Ω), and ; 、 are the self-admittances (S) of the virtual node k and the original node m respectively; is the UPFC parallel side current; is the voltage on the parallel side of UPFC; The equivalent impedance of the UPFC parallel side and the dynamic admittance matrix provide a network model with UPFC correction for the calculation of the main grid power benchmark instruction generation.

[0079] Furthermore, an objective function is constructed with the goal of minimizing system frequency deviation and network loss, and a UPFC multi-mode control model (unified power flow controller multi-mode control model) is established to solve the main grid power reference instruction. The main grid power reference instruction represents the reference value of active power that the main grid needs to emit or absorb under the condition of stable system frequency. It is used to guide the power regulation of the main grid and maintain the stability of the grid frequency. Based on the dynamic admittance matrix Y dyn , perform power flow sensitivity analysis and calculate the node power-voltage sensitivity matrix S PV :

[0080] ;

[0081] Where V is the node voltage magnitude vector (kV); is the node voltage phase angle vector (rad); is a diagonal matrix whose diagonal elements are the elements of the node voltage magnitude vector V; is the dynamic admittance matrix Ydyn The conjugate transpose of is a diagonal matrix whose diagonal elements are the node voltage phase angle vectors, plural form of The phase angle is measured by the phase measurement unit (PMU); Re represents the real part of the matrix. The UPFC multi-mode control model is established, and its corresponding objective function is:

[0082] ;

[0083] in, is the frequency deviation (Hz); is the total power imbalance (MW); is the system equivalent inertia (MW / Hz); is the network loss weight coefficient.

[0084] The multi-mode control constraints of the unified power flow controller are:

[0085] ;

[0086] in, is the voltage regulation amount (kV); is the maximum regulated power of UPFC (MW). Solve the UPFC multi-mode control model and generate the main grid power reference instruction (initial main grid power reference instruction): .in, is the active power injected / absorbed by UPFC after correction by the dynamic admittance matrix (MW); is the generator output (MW); is the load power consumption (MW). Main grid power reference instruction The local benchmark instructions allocated to the distribution network converter node k according to the capacity weight are sent to the distribution network layer through the interactive protocol to guide the benchmark power of the converter. Output, the calculation formula is:

[0087] ;

[0088] in, is the capacity (MVA) of converter k. The main grid power benchmark instruction is modeled by the flexible interconnection and joint power flow of the distribution network optimization layer and transmitted to the distribution network layer through the wide area coordination interface to guide the power allocation of the converter.

[0089] Step 102: The joint power flow model solved by the Newton-Raphson method generates the initial node cluster converter power instructions and the initial unified power flow controller active power adjustment instructions based on the main distribution network power flow data, the node power-voltage sensitivity matrix, and the initial main network power reference instructions.

[0090] It should be noted that the construction of a flexible AC / DC interconnected network on the distribution network side realizes the bidirectional flow mutual assistance of the main distribution network through dynamic partition aggregation and cross-level joint flow modeling. Figure 5 shown.

[0091] Specifically, step 102 may include the following sub-steps S21-S28:

[0092] Step S21: Calculate the series side voltage of the unified power flow controller based on the initial main grid power reference command;

[0093] Step S22: outputting equivalent injection powers of multiple distribution network nodes according to the series-side voltage of the unified power flow controller and the node power-voltage sensitivity matrix;

[0094] Step S23: Determine the injection power of multiple distribution network nodes based on the equivalent injection power of multiple distribution network nodes using the joint power flow model solved by the Newton-Raphson method;

[0095] Step S24: Calculate the electrical coupling degree of multiple distribution network nodes based on the voltage amplitude of each distribution network node;

[0096] Step S25: Calculate the source-load matching degree of multiple distribution network nodes based on the power data of each distribution network node;

[0097] Step S26: Screen the distribution network nodes based on the electrical coupling degree of each distribution network node and the source-load matching degree of each distribution network node to determine multiple target distribution network nodes;

[0098] Step S27: Calculate the power of the distribution network node cluster according to the source-load matching degree corresponding to each target distribution network node and the distribution network node injection power;

[0099] Step S28: Based on the power of the distribution network node cluster, generate an initial node cluster converter power instruction and an initial unified power flow controller active power adjustment instruction.

[0100] Furthermore, step S28 may include the following sub-steps S281-S283:

[0101] Step S281: Determine the unified power flow controller action priority weight and the converter action priority weight according to the power of the distribution network node cluster;

[0102] Step S282: Generate an initial unified power flow controller active power adjustment instruction based on the unified power flow controller action priority weight and the distribution network node cluster power;

[0103] Step S283: Generate an initial node cluster converter power instruction based on the converter action priority weight and the distribution network node cluster power.

[0104] It should be noted that with the AC / DC converter as the core, the DC bus voltage control equation is defined and the droop control strategy is adopted: .in, is the DC bus voltage (kV); is the DC bus voltage reference value (kV), is the droop coefficient (kW / MW); is the port power (MW); The power reference command (MW) sets the power transmission limit of each port of the converter. Converter port power constraint: .in, is the rated capacity of the converter (MVA); The distribution network optimization layer adjusts the converter port power through the DC bus voltage control equation. The DC bus voltage control equation provides boundary conditions for joint power flow modeling and determines the converter power, which is embedded in the distribution network side power flow equation.

[0105] Furthermore, based on the electrical coupling degree and source-load matching degree of the distribution network nodes, the distribution network is divided into multiple autonomous units. The electrical coupling degree is used to quantify the electrical connection strength between nodes, which directly affects the clustering objective function, ensuring low impedance and small voltage difference between nodes in the partition, thereby reducing power transmission loss. The electrical coupling degree C of distribution network nodes i, j is ij Used to characterize the tightness of electrical connections between nodes:

[0106] ;

[0107] in, is the impedance between nodes i and j (Ω); , is the voltage amplitude of node i, j (kV); is the voltage difference sensitivity coefficient (1 / kV). ij When ≥0.8, highly coupled nodes (distribution nodes) are forced to be in the same cluster. i Characterizes the ability to balance its power generation and load power, and provides a quantifiable optimization target for partition aggregation. i :

[0108] ;

[0109] in, For very small amounts (e.g. , to avoid the denominator being zero); is the distributed generation output of distribution network node i (MW); is the load power of distribution network node i (MW); Indicates that the source and load are basically balanced, that is, the power generation and load of node i are basically balanced, Indicates that the generated power is greater than the load (power surplus), Indicates that the generated power is less than the load (power shortage). When the source-load balancing node is aggregated first. The distribution network partition optimization promotes high matching degree nodes ( ) Prioritize aggregation of the same cluster to reduce cross-cluster power exchange, and the port power adjustment requirement Small, reducing DC voltage fluctuations and improving the distribution network's autonomy.

[0110] Specifically, based on the above content, the electrical coupling degree and source-load matching degree corresponding to each distribution network node are calculated, and the C ij ≥0.8 and The distribution network node corresponding to the electrical coupling degree and source-load matching degree is taken as the target distribution network node, and the distribution network node cluster power is calculated according to the source-load matching degree corresponding to the target distribution network node and the obtained distribution network node injection power. , thereby obtaining the distribution network cluster status data Upload to the main network to solve the power shortage.

[0111] Furthermore, by coupling the mathematical models of the main grid UPFC and the distribution network converter, a joint power flow model of the main and distribution networks solved by the Newton-Raphson method is constructed to realize the calculation of cross-level power interaction. se The power reference instruction P of the main network scheduling layer ref Determine the voltage injection equation on the UPFC series side: .in, is the active power of the line where the UPFC is located (MW); 、 is the proportional-integral coefficient, according to the sensitivity matrix S PV Dynamic Adjustment: .in, 、 is the weight coefficient, which is determined by offline optimization; the area with high sensitivity needs to respond quickly, that is, increase ; Global stability requires integral compensation, that is, adjustment The power equation of the AC side of the converter is: .in, is the power factor angle (rad), which is determined by the converter control mode; is the AC bus voltage (kV), and the DC voltage droop control equation is: Indirect dynamic regulation control, the AC bus voltage is expressed as:

[0112] ;

[0113] in, is the effective value of the AC side line voltage of the converter (kV), that is, the AC bus voltage (kV); is the DC bus voltage (kV); m is the converter modulation ratio, which is determined by the converter control strategy. The DC side power balance equation is: .in, is the total DC bus power; , Embedded into the power flow equation as the power source / load on the distribution network side. Coupled with the main grid UPFC voltage injection equation and the power equation of the distribution network converter .in, is the injection voltage on the series side; k is the proportional coefficient; is the coupling node voltage amplitude; is the phase angle, which is used to adjust the direction of the injected tidal current. is the converter active power, is the DC voltage, is the DC current. The combined power flow model solved by the Newton-Raphson method is constructed, and the power flow on the main grid side (including UPFC) is:

[0114] ;

[0115] in, 、 are the active / reactive power (MW / Mvar) injected by power sources (including generators and distributed generation) at node i; 、 are the active / reactive power consumed by the load at node i (MW / Mvar); 、 are the active / reactive power (MW / Mvar) equivalently injected by UPFC at the node, respectively, and are determined by the UPFC equivalent voltage source model. Converted into equivalent power terms: 、 , is the current phasor flowing through UPFC; 、 are the voltage phasors of nodes i and j respectively.

[0116] Specifically, based on the above calculation, after obtaining the voltage on the series side of the unified power flow controller, the UPFC equivalent voltage source model Converted into equivalent power terms: 、 , the equivalent injection power of the distribution network node can be obtained, including 、 , and then 、 Substitute the Newton-Raphson method into the joint power flow model to obtain the distribution network node injection power, which includes 、 .

[0117] Furthermore, for the distribution network side (including converters):

[0118] ;

[0119] in, is the AC side active power of the kth converter (MW), which directly participates in the node power balance; is the DC bus voltage of the kth converter (kV), which is determined by the droop control equation; is the DC side current of the kth converter (kA); is the port power of the kth converter (MW).

[0120] Furthermore, through the main distribution network interaction protocol and consistency algorithm, the control priority of UPFC and converter is dynamically coordinated to achieve closed-loop coordination of cross-level instructions. Design the main distribution network interaction protocol to transmit the main network power benchmark instruction , Power output in the main grid power flow equation , distribution network partition status data , a consensus algorithm is used to coordinate the action priority weight w of UPFC and converter, and the coordination weight ensures the dynamic balance of the main distribution network control instructions. Interaction protocol:

[0121] ;

[0122] in, is the total power deficit / surplus of the distribution network (MW), if >0, the distribution network needs to return power to the main network, and vice versa, it needs to absorb power; is the UPFC action priority weight; is the priority weight of the converter action. If the total power shortage is large, The larger it is, the more regulatory responsibility the main network UPFC will bear, i.e. The higher it is, the priority support of the main grid will be given; local imbalance will be adjusted autonomously by the converter. is the power of cluster c (i.e., the power of the distribution network node cluster), which reflects the local power balance state of an autonomous unit (cluster) in the distribution network and is expressed as:

[0123] ;

[0124] in, Indicates the power shortage of the cluster (when <0) or surplus (when >0), the unit is MW; is the load power of node i (distribution network node) (MW), Autonomous unit c divided by dynamic partitioning algorithm.

[0125] For the UPFC regulation instruction in the dynamic allocation of control instructions, that is, the initial unified power flow controller active power regulation instruction:

[0126] ;

[0127] in, Indicates the active power command (MW) that needs to be adjusted by UPFC, that is, the initial unified power flow controller active power adjustment command.

[0128] For the cluster converter power instruction in the dynamic allocation of control instructions, that is, the initial node cluster converter power instruction:

[0129] ;

[0130] in, is the cluster converter power regulation instruction (MW), that is, the initial node cluster converter power instruction, which is a dynamic regulation amount to compensate for the local power shortage, realize autonomous regulation, and reduce dependence on the main grid. The actual output of converter k, including the benchmark and the regulation amount, is expressed as: .

[0131] Step 103: Calculate a weight coefficient based on the initial main grid power reference instruction and the initial unified power flow controller active power adjustment instruction.

[0132] Specifically, step 103 may include the following sub-steps S31-S32:

[0133] Step S31: Determine a power supply capability matching index based on an initial main grid power reference instruction and an initial unified power flow controller active power adjustment instruction;

[0134] Step S32: Determine a weight coefficient according to the power supply capability matching index.

[0135] It should be noted that the matching relationship between UPFC regulation capacity and resource aggregation capacity is quantified to optimize the coordination efficiency of the main distribution network and reduce the dependence of power shortage on the main network. In order to ensure that load demand is always used as a benchmark reference and to reflect cross-level coordination, the power supply capacity matching index is defined by combining the UPFC residual regulation capacity with the capacity of new energy or energy storage resources. :

[0136] ;

[0137] in, is the remaining regulation capacity of UPFC, reflecting the dynamic regulation capacity of the main network. ,in, from the wide area coordination interface; To aggregate capacity for new energy and energy storage, and integrate distribution network resource capacity, ; is the total load power (MW); To avoid the denominator being zero, we take 1×10 -6 ; is the prediction of renewable energy output of node i (MW); is the energy storage charging and discharging power (MW) of node i.

[0138] Furthermore, the weight coefficient According to the matching Dynamic Adjustment:

[0139] ;

[0140] Based on the above foundation, according to the matching degree Dynamic adjustment to determine weight coefficient When the matching degree is lower, the converter regulation weight is higher, focusing on local autonomy. Closed-loop feedback mechanism: converter power The corrected instructions from the joint power flow equation are fed back to the main network scheduling layer through the wide area coordination interface.

[0141] Step 104 : Modify the initial main grid power reference instruction, the initial node cluster converter power instruction, and the initial unified power flow controller active power adjustment instruction according to the weight coefficient and the converter reference power, and generate a main and distribution network hierarchical coordinated scheduling plan.

[0142] It should be noted that based on the hierarchical architecture of the main and distribution networks and the resource matching evaluation results, the efficient consumption of new energy and the dynamic stability of the system are achieved through multi-time scale collaborative optimization, and the technical effect is verified through a closed-loop feedback mechanism to form a complete scheduling closed loop. Specifically, a three-level optimization framework of day-ahead, intraday, and real-time is constructed to achieve a balance between economy, robustness, and dynamic response, and the effectiveness and integrity of the technical solution are ensured through closed-loop verification. The closed-loop logic diagram is as follows Figure 6 As shown in the figure, the main distribution network hierarchical coordination technology roadmap is as follows Figure 7 shown.

[0143] Specifically, step 104 may include the following sub-steps S41-S45:

[0144] Step S41: With the goal of minimizing the total operating cost of the main distribution network, set the main distribution network operation constraints and build a day-ahead economic dispatch model;

[0145] Step S42: Solve the day-ahead economic dispatch model based on the initial main grid power reference command and the initial unified power flow controller active power regulation command to generate a target main grid power reference command and a target unified power flow controller active power regulation command;

[0146] Step S43: With the goal of minimizing the converter power deviation, set converter port power constraints and build an intraday rolling correction model;

[0147] Step S44: Solve the intraday rolling correction model based on the initial node cluster converter power instruction, the converter reference power, and the weight coefficient to generate the target node cluster converter power instruction;

[0148] Step S45: Generate a main and distribution network hierarchical coordinated scheduling plan based on the target main network power reference instruction, the target unified power flow controller active power adjustment instruction, and the target node cluster converter power instruction.

[0149] It should be noted that based on the dynamic model and real-time data of the main and distribution network hierarchical architecture, the spatiotemporal distribution characteristics of new energy, energy storage and load are quantified, and the main network power benchmark instructions and distribution network partition results are explicitly embedded to provide input for cross-level resource optimization. Transmitted to the distribution network through the wide area coordination interface to generate converter reference power , directly impact , thus embedding the numerator of the space-time matrix. Dynamic partitioning results Determine the weight coefficient , high coupling clusters have higher weights and are prioritized for power adjustment. Build a spatiotemporal correlation matrix , characterizes the power generation and load matching status of node i in time period t, and explicitly associates the main network instructions with the distribution network partition results:

[0150] ;

[0151] in, is the predicted renewable energy output of node i in period t (MW); is the energy storage charging and discharging power (MW) of node i in time period t, with positive values ​​being discharge; is the load forecast of node i in period t (MW); is the power (MW) of converter k at node i in time period t, calculated by the converter power equation and subject to the main grid benchmark instruction control; It is a very small, numerically stable term to avoid the denominator being zero, so we take 1×10 -6 ; is the partition weight coefficient, which is determined by the dynamic partition result Dynamic adjustment reflects the resource regulation priority within the cluster and strengthens the coupling between partition autonomy and main network regulation. According to the cluster aggregation time-space matrix, the main distribution network coordination effect can be verified:

[0152] ;

[0153] Furthermore, for the constructed day-ahead economic dispatch model (24-hour plan), a mixed-integer linear programming (MILP) model is constructed based on the space-time matrix and matching constraints. The goal is to minimize the total 24-hour operating cost of the main distribution network:

[0154] ;

[0155] in, is the unit power generation cost coefficient of the generator; is the unit operating cost coefficient of UPFC; is the output power of the generator at time t; is the power output of UPFC at time t, i.e., the target unified power flow controller active power regulation instruction; t is the time index, ranging from 1 to 24, representing 24 hours. The main distribution network operation constraints include power balance constraints, matching constraints, and generator capacity constraints (based on the constraints, the target main network power reference instruction at time t is obtained). ):

[0156] ;

[0157] Among them, the ARIMA (Autoregressive Integrated Moving Average) model generates load forecasts .

[0158] Furthermore, for the constructed intraday rolling correction model (15-minute period), the converter port power constraint is , the model relies on real-time matching Dynamically adjust weights and make rolling corrections to UPFC and converter instructions based on real-time measurement data, with the goal of minimizing converter power deviations:

[0159] ;

[0160] Where H is the prediction time domain (step length), usually 4 steps (1 hour); To control the weight coefficient (i.e. weight coefficient), based on the matching degree Dynamic adjustment; is the power adjustment of converter k (MW), i.e., the target node cluster converter power instruction; the UPFC and converter instructions are revised in a rolling manner, with the goal of tracking the day-ahead plan and compensating for the forecast error: , where the control gain matrix is ( is the attenuation coefficient, ranging from 0.8 to 1.2).

[0161] Furthermore, based on the target main grid power reference instruction, target unified power flow controller active power regulation instruction, and target node cluster converter power instruction obtained in the above steps, a hierarchical coordinated scheduling scheme for the main distribution network is used to coordinate the main distribution network.

[0162] For comparison purposes, existing technologies can be used as a reference. Current coordinated dispatching technologies for main and distribution networks face multiple bottlenecks. Traditional methods typically employ a serial optimization model with independent modeling of the main and distribution networks. This results in a lack of dynamic coupling between UPFC power flow regulation and control of flexible interconnected resources in the distribution network, making it difficult to address cross-level power oscillations caused by renewable energy volatility and time-varying loads. Existing UPFC applications are mostly limited to static power flow optimization at the main grid level, while flexible AC / DC systems on the distribution side primarily rely on island autonomy. Both lack a unified modeling framework for dynamic admittance correction, power sensitivity coordination, and virtual node impedance matching, resulting in low resource aggregation efficiency. Existing technologies generally employ fixed-timescale optimization strategies, which are unable to adapt to the multi-timescale response requirements of interactive power in the main and distribution networks. Furthermore, the spatiotemporal coupling of cross-level control commands is insufficient, which can easily lead to voltage overshoots and surges in network losses. Furthermore, existing technologies lack a dynamic weight allocation strategy based on power supply capacity matching, resulting in the inability to quickly coordinate main and distribution network regulation resources under emergency conditions, restricting the system's transient stability.

[0163] In response to the above problems, the present invention provides a hierarchical coordinated scheduling method for main and distribution networks taking into account unified power flow controllers and flexible AC / DC interconnection, constructs a two-layer dynamic interactive architecture of the main network scheduling layer and the distribution network optimization layer, the main network layer generates a sensitivity model containing UPFC virtual node impedance through dynamic admittance matrix correction, generates main network power reference instructions based on multi-mode control optimization, and constructs a flexible interconnected network with AC / DC converters as hubs to achieve dynamic partitioning and aggregation to form multiple autonomous units; based on the time-space correlation matrix, the time-space coupling characteristics of new energy, energy storage and loads are quantified, and the optimal configuration of cross-level resources is solved by combining the dynamic programming algorithm, and the Newton-Raphson joint power flow model of the main and distribution network is constructed through the joint modeling of the UPFC series side voltage injection equation and the converter droop control equation; a power supply capacity matching index is proposed to evaluate the UPFC regulation margin and The dynamic relationship between resource aggregation capacity and the power command weight distribution are realized by using a two-layer iterative optimization algorithm. A three-level collaborative framework of day-ahead, intraday, and real-time is designed. The day-ahead layer generates the economically optimal plan through a mixed integer programming model. The intraday layer uses model predictive control to roll back UPFC and converter commands. The real-time layer embeds a DC voltage coordination module to achieve millisecond-level emergency control. An optimization model with new energy absorption rate, network loss, and voltage deviation as the target is constructed. The main grid power flow sensitivity is reconstructed through dynamic admittance matrix correction and virtual node impedance matching. The dynamic coupling of converter port power equation and DC voltage droop control is combined to achieve bidirectional power flexibility in the main and distribution networks. The UPFC and converter control weights are dynamically allocated based on the wide-area coordination interface and consistency algorithm. The real-time and robustness of the scheduling strategy are ensured through a multi-timescale closed-loop feedback mechanism. The present invention can effectively improve the new energy absorption capacity and system dynamic stability through the joint power flow modeling of the main and distribution networks, dynamic partition autonomy, and cross-level command coordination. At the same time, the present invention is suitable for collaborative optimization scenarios involving high-penetration renewable energy, multiple types of energy storage, and AC / DC hybrid distribution systems, especially for complex power system scheduling requirements involving dynamic power interaction between main and distribution networks, multi-time-scale resource matching, and cross-level control coupling. The global optimal configuration of source, grid, load, and storage is achieved through dynamic admittance matrix correction, flexible interconnection partition aggregation, and multi-level collaborative optimization.

[0164] In an embodiment of the present invention, the present invention provides a main distribution network hierarchical coordinated scheduling method taking into account a unified power flow controller and flexible AC / DC interconnection, obtaining the main distribution network power flow data and the main distribution network topology, and using a preset unified power flow controller dual voltage source equivalent model to generate an initial main network power reference instruction, a node power-voltage sensitivity matrix, and a reference power of the converter according to the main distribution network topology and preset virtual nodes; using a joint power flow model solved by the Newton-Raphson method to generate an initial node cluster converter power instruction and an initial unified power flow controller active power adjustment instruction based on the main distribution network power flow data, the node power-voltage sensitivity matrix, and the initial main network power reference instruction; based on the initial main network power reference instruction, the initial node cluster converter power instruction and the initial unified power flow controller active power adjustment instruction are generated. The quasi-instruction and the initial unified power flow controller active power regulation instruction are used to calculate the weight coefficient; the initial main grid power reference instruction, the initial node cluster converter power instruction and the initial unified power flow controller active power regulation instruction are corrected according to the weight coefficient and the reference power of the converter to generate a main and distribution network hierarchical coordinated scheduling scheme; based on the above scheme, the present invention adopts a preset unified power flow controller dual voltage source equivalent model to generate a node power-voltage sensitivity matrix according to the main distribution network topology and preset virtual nodes, which can reconstruct the main grid power sensitivity, and combine with the dynamic allocation of weights based on the initial main grid power reference instruction to realize two-way power flexible mutual assistance of the main and distribution network, thereby effectively improving the system dynamic stability of the main distribution network.

[0165] See also Figure 8 , Figure 8 This is a structural block diagram of a main and distribution network hierarchical coordinated scheduling device taking into account a unified power flow controller and flexible AC / DC interconnection, provided in the second embodiment of the present invention.

[0166] The present invention provides a main distribution network hierarchical coordinated scheduling device taking into account a unified power flow controller and flexible AC / DC interconnection, comprising:

[0167] Acquisition module 801 is used to obtain the main distribution network power flow data and the main distribution network topology, and use the preset unified power flow controller dual voltage source equivalent model to generate the initial main network power reference instruction, the node power-voltage sensitivity matrix, and the reference power of the converter according to the main distribution network topology and preset virtual nodes;

[0168] The command generation module 802 is configured to generate an initial node cluster converter power command and an initial unified power flow controller active power adjustment command based on the main distribution network power flow data, the node power-voltage sensitivity matrix, and the initial main network power reference command using the joint power flow model solved by the Newton-Raphson method;

[0169] A calculation module 803 is used to calculate a weight coefficient based on the initial primary network power reference instruction;

[0170] The scheme generation module 804 is used to modify the initial main network power reference instruction, the initial node cluster converter power instruction and the initial unified power flow controller active power adjustment instruction according to the weight coefficient and the converter reference power to generate a main and distribution network hierarchical coordinated scheduling scheme.

[0171] Furthermore, the acquisition module 801 is specifically configured to:

[0172] Construct the initial admittance matrix according to the main distribution network topology;

[0173] Based on the preset unified power flow controller dual voltage source equivalent model, determine the unified power flow controller series equivalent impedance;

[0174] The unified power flow controller is used to connect equivalent impedance in series and preset virtual nodes to correct the initial admittance matrix and output the dynamic admittance matrix.

[0175] Calculate the node power-voltage sensitivity matrix based on the dynamic admittance matrix;

[0176] With the goal of minimizing system frequency deviation and network loss, the multi-mode control constraints of the unified power flow controller are set, and the multi-mode control model of the unified power flow controller is constructed.

[0177] Solve the multi-mode control model of the unified power flow controller and generate the initial main grid power reference command;

[0178] Based on the initial main grid power reference instruction, the reference power of the converter is determined.

[0179] Furthermore, the main distribution network flow data includes power data of multiple distribution network nodes and voltage amplitudes of multiple distribution network nodes; the instruction generation module 802 includes:

[0180] The first submodule is used to calculate the series side voltage of the unified power flow controller based on the initial main grid power reference instruction and the node power-voltage sensitivity matrix;

[0181] The second submodule is used to output the equivalent injection power of multiple distribution network nodes according to the series side voltage of the unified power flow controller;

[0182] The third submodule is used to determine the injection power of multiple distribution network nodes according to the equivalent injection power of multiple distribution network nodes using the joint power flow model solved by the Newton-Raphson method;

[0183] The fourth submodule is used to calculate the electrical coupling degree of multiple distribution network nodes based on the voltage amplitude of each distribution network node;

[0184] The fifth submodule is used to calculate the source-load matching degree of multiple distribution network nodes based on the power data of each distribution network node;

[0185] The sixth submodule is used to screen distribution network nodes based on the electrical coupling degree of each distribution network node and the source-load matching degree of each distribution network node, and determine multiple target distribution network nodes;

[0186] The seventh submodule is used to calculate the power of the distribution network node cluster according to the source-load matching degree corresponding to each target distribution network node and the distribution network node injection power;

[0187] The eighth submodule is configured to generate an initial node cluster converter power instruction and an initial unified power flow controller active power adjustment instruction based on the distribution network node cluster power.

[0188] Furthermore, the eighth submodule is specifically configured to:

[0189] Determine the unified power flow controller action priority weight and the converter action priority weight according to the power of the distribution network node cluster;

[0190] Generate initial UFC active power regulation instructions based on UFC action priority weights and distribution network node cluster power;

[0191] Based on the converter action priority weight and the distribution network node cluster power, an initial node cluster converter power instruction is generated.

[0192] Furthermore, the calculation module 803 is specifically configured to:

[0193] Determine the power supply capability matching index based on the initial main grid power reference command and the initial unified power flow controller active power regulation command;

[0194] Determine the weight coefficient based on the power supply capability matching index.

[0195] Furthermore, the solution generation module 804 is specifically configured to:

[0196] With the goal of minimizing the total operating cost of the main and distribution networks, the main and distribution network operation constraints are set and a day-ahead economic dispatch model is constructed.

[0197] Solve the day-ahead economic dispatch model based on the initial main grid power reference command and the initial unified power flow controller active power regulation command to generate the target main grid power reference command and the target unified power flow controller active power regulation command;

[0198] With the goal of minimizing converter power deviation, converter port power constraints are set and an intraday rolling correction model is constructed.

[0199] Based on the initial node cluster converter power instruction, the converter's reference power, and the weight coefficient, the intraday rolling correction model is solved to generate the target node cluster converter power instruction;

[0200] Based on the target main grid power benchmark instruction, the target unified power flow controller active power adjustment instruction, and the target node cluster converter power instruction, a main and distribution network hierarchical coordinated scheduling plan is generated.

[0201] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0202] An embodiment of the present invention also provides a computer device, including a memory and a processor, wherein a computer program is stored in the memory; when the computer program is executed by the processor, the processor executes the steps of the main distribution network hierarchical coordinated scheduling method taking into account the unified power flow controller and flexible AC / DC interconnection as in any of the above embodiments.

[0203] An embodiment of the present invention also provides a computer-readable storage medium having a computer program / instruction stored thereon. When the computer program / instruction is executed by a processor, the steps of the main distribution network hierarchical coordinated scheduling method taking into account the unified power flow controller and flexible AC / DC interconnection as in any of the above embodiments are implemented.

[0204] An embodiment of the present invention also provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the steps of the main distribution network hierarchical coordinated scheduling method taking into account the unified power flow controller and flexible AC / DC interconnection as in any of the above embodiments.

[0205] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0206] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0207] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions described in the above embodiments can still be modified, or some of the technical features thereof can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for hierarchical coordinated scheduling of main and distribution networks taking into account unified power flow controllers and flexible AC / DC interconnection, characterized in that: include: Obtaining the main distribution network power flow data and the main distribution network topology, and using a preset unified power flow controller dual voltage source equivalent model to generate an initial main network power reference instruction, a node power-voltage sensitivity matrix, and a reference power of the converter according to the main distribution network topology and preset virtual nodes; The joint power flow model solved by the Newton-Raphson method generates an initial node cluster converter power instruction and an initial unified power flow controller active power adjustment instruction based on the main distribution network power flow data, the node power-voltage sensitivity matrix, and the initial main network power reference instruction; Calculating a weight coefficient based on the initial main grid power reference instruction and the initial unified power flow controller active power adjustment instruction; The initial main network power reference instruction, the initial node cluster converter power instruction and the initial unified power flow controller active power adjustment instruction are modified according to the weight coefficient and the reference power of the converter to generate a main and distribution network hierarchical coordinated scheduling plan.

2. The method for hierarchical coordinated scheduling of main and distribution networks taking into account unified power flow controllers and flexible AC / DC interconnection according to claim 1 is characterized in that: The method of using a preset unified power flow controller dual voltage source equivalent model to generate an initial main network power reference instruction, a node power-voltage sensitivity matrix, and a reference power of a converter according to the main distribution network topology and preset virtual nodes includes: Constructing an initial admittance matrix according to the main distribution network topology; Based on the preset unified power flow controller dual voltage source equivalent model, determine the unified power flow controller series equivalent impedance; The unified power flow controller is used to connect equivalent impedances in series and preset virtual nodes to modify the initial admittance matrix and output a dynamic admittance matrix; Calculating a node power-voltage sensitivity matrix based on the dynamic admittance matrix; With the goal of minimizing system frequency deviation and network loss, the multi-mode control constraints of the unified power flow controller are set, and the multi-mode control model of the unified power flow controller is constructed. Solving the unified power flow controller multi-mode control model to generate an initial main grid power reference instruction; Based on the initial main grid power reference instruction, a reference power of the converter is determined.

3. The method for hierarchical coordinated scheduling of main and distribution networks taking into account unified power flow controllers and flexible AC / DC interconnection according to claim 1, characterized in that: The main distribution network flow data includes power data of multiple distribution network nodes and voltage amplitudes of multiple distribution network nodes; the joint power flow model solved by the Newton-Raphson method generates an initial node cluster converter power instruction and an initial unified power flow controller active power adjustment instruction based on the main distribution network flow data, the node power-voltage sensitivity matrix, and the initial main network power reference instruction, including: Calculating the series side voltage of the unified power flow controller based on the initial main grid power reference command and the node power-voltage sensitivity matrix; Outputting equivalent injection power of multiple distribution network nodes according to the series side voltage of the unified power flow controller; Determine the injection powers of multiple distribution network nodes according to the equivalent injection powers of multiple distribution network nodes using the joint power flow model solved by the Newton-Raphson method; Calculating electrical coupling degrees of a plurality of distribution network nodes based on the voltage amplitude of each distribution network node; Calculating the source-load matching degree of multiple distribution network nodes according to the power data of each distribution network node; Screening distribution network nodes based on the electrical coupling degree of each distribution network node and the source-load matching degree of each distribution network node to determine multiple target distribution network nodes; Calculate the power of the distribution network node cluster according to the source-load matching degree corresponding to each target distribution network node and the distribution network node injection power; Based on the distribution network node cluster power, an initial node cluster converter power instruction and an initial unified power flow controller active power adjustment instruction are generated.

4. The method for hierarchical coordinated scheduling of main and distribution networks taking into account unified power flow controllers and flexible AC / DC interconnection according to claim 3 is characterized in that: The generating, based on the power of the distribution network node cluster, an initial node cluster converter power instruction and an initial unified power flow controller active power adjustment instruction includes: Determining a unified power flow controller action priority weight and a converter action priority weight according to the power of the distribution network node cluster; Based on the unified power flow controller action priority weight and the distribution network node cluster power, generating an initial unified power flow controller active power adjustment instruction; An initial node cluster converter power instruction is generated based on the converter action priority weight and the distribution network node cluster power.

5. The method for hierarchical coordinated scheduling of main and distribution networks taking into account unified power flow controllers and flexible AC / DC interconnection according to claim 1, characterized in that: The calculating of the weight coefficient based on the initial main grid power reference instruction and the initial unified power flow controller active power adjustment instruction includes: Determining a power supply capability matching index based on the initial main grid power reference instruction and the initial unified power flow controller active power adjustment instruction; A weight coefficient is determined according to the power supply capability matching index.

6. The method for hierarchical coordinated scheduling of main and distribution networks taking into account unified power flow controllers and flexible AC / DC interconnection according to claim 1, characterized in that: The step of modifying the initial main network power reference instruction, the initial node cluster converter power instruction, and the initial unified power flow controller active power adjustment instruction according to the weight coefficient and the reference power of the converter to generate a main and distribution network hierarchical coordinated scheduling plan includes: With the goal of minimizing the total operating cost of the main and distribution networks, the main and distribution network operation constraints are set and a day-ahead economic dispatch model is constructed. Solving the day-ahead economic dispatch model based on the initial main grid power reference command and the initial unified power flow controller active power regulation command to generate a target main grid power reference command and a target unified power flow controller active power regulation command; With the goal of minimizing converter power deviation, converter port power constraints are set and an intraday rolling correction model is constructed. Solving the intraday rolling correction model based on the initial node cluster converter power instruction, the reference power of the converter, and the weight coefficient to generate a target node cluster converter power instruction; A main and distribution network hierarchical coordinated scheduling plan is generated according to the target main network power reference instruction, the target unified power flow controller active power adjustment instruction, and the target node cluster converter power instruction.

7. A hierarchical coordinated dispatching device for main and distribution networks taking into account unified power flow controllers and flexible AC / DC interconnection, characterized in that: include: An acquisition module is used to obtain the main distribution network power flow data and the main distribution network topology, and use a preset unified power flow controller dual voltage source equivalent model to generate an initial main network power reference instruction, a node power-voltage sensitivity matrix, and a reference power of the converter according to the main distribution network topology and preset virtual nodes; An instruction generation module is used to generate an initial node cluster converter power instruction and an initial unified power flow controller active power adjustment instruction based on the main distribution network power flow data, the node power-voltage sensitivity matrix, and the initial main network power reference instruction using a joint power flow model solved by the Newton-Raphson method; A calculation module, configured to calculate a weight coefficient based on the initial main network power reference instruction; A scheme generation module is used to correct the initial main network power reference instruction, the initial node cluster converter power instruction and the initial unified power flow controller active power adjustment instruction according to the weight coefficient and the reference power of the converter, and generate a main and distribution network hierarchical coordinated scheduling scheme.

8. A computer device, characterized in that: It includes a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the main distribution network hierarchical coordinated scheduling method taking into account the unified power flow controller and flexible AC / DC interconnection as described in any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed, the main distribution network hierarchical coordinated scheduling method taking into account the unified power flow controller and flexible AC / DC interconnection as described in any one of claims 1 to 6 is implemented.

10. A computer program product, characterized in that The computer program product includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions, wherein when the program instructions are executed by a computer, the computer is caused to execute the main distribution network hierarchical coordinated scheduling method taking into account the unified power flow controller and flexible AC / DC interconnection as described in any one of claims 1 to 6.

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