Phase-shifting transformer control method and system based on flexibility of power distribution network

Abstract

The invention discloses a phase-shifting transformer control method and system based on the flexibility of a power distribution network, and relates to the technical field of phase-shifting transformer control, and the method comprises the steps: carrying out the load flow calculation of a power grid system, and obtaining the operation parameters of each node; based on the acquired operation parameters, modeling and analyzing flexibility resources of each node and a flexibility supply-demand relationship of the system; calculating the power compensation amount required by the system according to the flexible supply transmission amount and the required transmission amount monitored in real time; and dynamically adjusting the gear of the phase-shifting transformer according to the calculated power compensation amount. According to the phase-shifting transformer control method based on the flexibility of the power distribution network, a power flow control strategy based on multi-objective optimization is adopted, the economy and the safety of the system are considered while power flow optimization distribution is carried out, and the operation efficiency of the power grid is improved and the loss is reduced on the premise of ensuring the safety. According to the invention, better effects are achieved in the aspects of safety and intelligent level.

Description

Technical Field

[0001] The present invention relates to the technical field of phase-shifting transformer control, and specifically to a phase-shifting transformer control method and system based on the flexibility of the distribution network. Background Technique

[0002] With the rapid development of modern power systems, the scale of the power grid continues to expand, large-scale integration of distributed energy sources (such as wind power, photovoltaic power, etc.), and the load characteristics are becoming increasingly diverse and complex, resulting in a highly complex and frequently dynamic change in the power flow distribution of the power system. The rationality of the power flow distribution not only directly affects the safety and stability of the power grid, but also is related to the economic operation efficiency of the system. However, traditional power flow regulation technologies have obvious limitations in dealing with complex and changing power grid environments, such as insufficient regulation accuracy, slow response speed, and limited flexibility, and it is difficult to meet the growing demand of modern power grids for efficient, precise, and flexible regulation.

[0003] Among various power flow regulation technologies, phase-shifting transformers have gradually received extensive attention because they can change the power flow distribution of lines by adjusting the phase angle. Its core principle is to adjust the power transmission direction and magnitude of the line by introducing a phase difference. However, there are still significant defects in the existing phase-shifting transformer control strategies and system designs. First, the regulation accuracy is insufficient. Usually, a fixed-step phase adjustment method is adopted, which is difficult to achieve fine control of the power flow. Second, the response speed is slow. The regulation commands mostly rely on manual setting or simple control algorithms and cannot quickly adapt to the dynamic changes of the power grid. In addition, the adjustment angle of the phase-shifting transformer is mostly based on empirical values, lacking a scientific optimization method, resulting in the failure to fully utilize its adjustment potential. Finally, the data interaction and cooperative control capabilities between the control unit of the phase-shifting transformer and other power system monitoring devices are weak, and the system integration degree is low, making it difficult to achieve intelligent and cooperative power flow regulation. These problems limit the application effect of phase-shifting transformers in modern complex power grid environments and urgently need to be improved and optimized.

[0004] With the increasing complexity of power systems, the limitations of existing power flow regulation technologies have become more prominent. Especially in the context of the wide access of large-scale distributed energy sources (such as wind power, photovoltaic power, etc.), the uncertainty and volatility of power flow distribution have increased significantly, and traditional regulation methods are difficult to achieve fast and accurate power flow control. The existing control strategies of phase-shifting transformers are insufficient in dealing with complex power grid environments. For example, problems such as low regulation accuracy, slow response speed, and limited flexibility lead to their inability to fully play their roles in practical applications. In addition, existing technologies have weak capabilities in aspects such as the coordinated regulation of multiple types of flexibility resources, multi-time scale dynamic regulation, and intelligent decision-making support, and cannot meet the urgent needs of modern power systems for efficient, accurate, and intelligent power flow regulation. Therefore, there is an urgent need to develop a new type of power flow regulation system and method that can effectively overcome the defects of existing technologies to improve the flexibility, safety, and economy of power grid operation. Summary of the Invention

[0005] In view of the above existing problems, the present invention is proposed.

[0006] Therefore, the technical problems solved by the present invention are: the existing power flow regulation methods have insufficient regulation accuracy, slow response speed, limited flexibility, and the problem of how to improve the intelligent and coordinated power flow regulation capabilities of phase-shifting transformers.

[0007] To solve the above technical problems, the present invention provides the following technical solutions: A control method for a phase-shifting transformer based on the flexibility of a distribution network, including performing power flow calculations on the power grid system to obtain the operating parameters of each node; based on the obtained operating parameters, respectively modeling and analyzing the flexibility resources of each node and the flexibility supply-demand relationship of the system;

[0008] Calculating the power compensation amount required by the system according to the real-time monitored flexibility supply transmission amount and demand transmission amount;

[0009] Dynamically adjusting the tap position of the phase-shifting transformer according to the calculated power compensation amount.

[0010] As a preferred embodiment of the control method for a phase-shifting transformer based on the flexibility of a distribution network according to the present invention, wherein: obtaining the operating parameters of each node includes collecting the voltage, current, active power, and reactive power of each node in the power grid in real time through a supervisory control and data acquisition system and a phasor measurement unit, and performing power flow calculations.

[0011] As a preferred embodiment of the control method for a phase-shifting transformer based on the flexibility of a distribution network according to the present invention, wherein: the power flow calculation includes using numerical calculation methods, the Newton-Raphson method or the Gauss-Seidel method to iteratively solve the voltage amplitude, phase angle, active power, and reactive power of each node.

[0012] As a preferred solution of the phase-shifting transformer control method based on the flexibility of the distribution network according to the present invention, wherein: the flexibility resources include the power regulation capabilities of distributed power sources and energy storage systems. The regulation range of controllable distributed new energy is limited by the maximum and minimum power outputs, and the charge and discharge power of the energy storage system is restricted by the energy capacity and the current state of charge;

[0013] Modeling is carried out based on the grid topology structure and operation parameters, considering factors such as the load fluctuations of each node and the output changes of distributed energy sources, to quantify the matching degree of supply and demand of system flexibility.

[0014] As a preferred solution of the phase-shifting transformer control method based on the flexibility of the distribution network according to the present invention, wherein: the flexibility supply-demand relationship includes modeling based on the grid topology structure and operation parameters, comprehensively considering the load fluctuations of each node, the output changes of distributed energy sources and the overall operation state of the system, to quantify the matching degree of supply and demand of system flexibility, and determining the transmission situation of the flexibility demand of each node on different lines through the system distribution factor.

[0015] As a preferred solution of the phase-shifting transformer control method based on the flexibility of the distribution network according to the present invention, wherein: calculating the required power compensation amount of the system includes ensuring that the regulation ability on the supply side meets the power compensation demand on the demand side based on the matching situation of flexibility supply and demand, while following the safety constraints of the system.

[0016] As a preferred solution of the phase-shifting transformer control method based on the flexibility of the distribution network according to the present invention, wherein: dynamically adjusting the tap of the phase-shifting transformer includes determining the adjustment angle of the phase-shifting transformer according to the voltage amplitude, phase angle difference of the buses at both ends of the line and the equivalent reactance value of the line, and dynamically adjusting within the range of system operation constraints.

[0017] Another object of the present invention is to provide a phase-shifting transformer control system based on the flexibility of the distribution network, which can realize the dynamic optimization control of the phase angle of the phase-shifting transformer by adopting an intelligent adaptive phase regulation algorithm based on real-time power flow monitoring, and solves the problem that the current traditional phase-shifting transformer contains the problem of adopting a fixed step size regulation.

[0018] As a preferred solution of the phase-shifting transformer control system based on the flexibility of the distribution network according to the present invention, it includes a power flow calculation module, a power compensation calculation module, and a phase-shifting transformer adjustment module; the power flow calculation module is used to perform power flow calculation on the power grid system to obtain the operating parameters of each node; based on the obtained operating parameters, the flexibility resources of each node and the flexibility supply-demand relationship of the system are respectively modeled and analyzed; the power compensation calculation module is used to calculate the power compensation amount required by the system according to the flexibility supply transmission amount and demand transmission amount monitored in real time; the phase-shifting transformer adjustment module is used to dynamically adjust the gear position of the phase-shifting transformer according to the calculated power compensation amount.

[0019] A computer device includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps of the phase-shifting transformer control method based on the flexibility of the distribution network are implemented.

[0020] A computer-readable storage medium stores a computer program thereon. When the computer program is executed by a processor, the steps of the phase-shifting transformer control method based on the flexibility of the distribution network are implemented.

[0021] The beneficial effects of the present invention: The phase-shifting transformer control method based on the flexibility of the distribution network provided by the present invention adopts a power flow control strategy based on multi-objective optimization, taking into account system economy and security while optimizing the power flow distribution. It can improve the power grid operation efficiency and reduce losses on the premise of ensuring security. Adopting a distributed collaborative control architecture, it realizes data interaction and collaborative optimization between the phase-shifting transformer and other intelligent devices in the power grid, realizes the joint optimization of various power grid flexible resources, and improves the overall intelligent level of power flow regulation. The present invention has achieved better effects in terms of security, intelligent level, and operation efficiency improvement. Description of the Drawings

[0022] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can also obtain other drawings based on these drawings without creative efforts.

[0023] Figure 1 It is the overall flowchart of a phase-shifting transformer control method based on the flexibility of the distribution network provided by the first embodiment of the present invention.

[0024] Figure 2 It is the detailed flowchart of a phase-shifting transformer control method based on the flexibility of the distribution network provided by the first embodiment of the present invention.

[0025] Figure 3Matlab / simulink power flow regulation simulation schematic diagram of a phase-shifting transformer control method based on the flexibility of the distribution network provided by the first embodiment of the present invention.

[0026] Figure 4 Phase-shifting transformer regulation ability test circuit of a phase-shifting transformer control method based on the flexibility of the distribution network provided by the first embodiment of the present invention.

[0027] Figure 5 Compensation voltage waveform diagram of a phase-shifting transformer of a phase-shifting transformer control method based on the flexibility of the distribution network provided by the first embodiment of the present invention.

[0028] Figure 6 Phase-shifting transformer voltage regulation vector schematic diagram of a phase-shifting transformer control system based on the flexibility of the distribution network provided by the first embodiment of the present invention. Detailed implementation manners

[0029] To make the above objects, features and advantages of the present invention more obvious and understandable, the following will describe the detailed implementation manners of the present invention with reference to the accompanying drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0030] Example 1, referring to Figures 1-6 , which is an embodiment of the present invention, provides a phase-shifting transformer control method based on the flexibility of the distribution network, including:

[0031] S1: Perform power flow calculation on the power grid system to obtain the operating parameters of each node. Based on the obtained operating parameters, model and analyze the flexibility resources of each node and the flexibility supply-demand relationship of the system.

[0032] Furthermore, obtaining the operating parameters of each node includes real-time collecting the voltage, current, active power and reactive power of each node in the power grid through a supervisory control and data acquisition system and a phasor measurement unit, and performing power flow calculation.

[0033] It should be noted that to perform power flow calculations, parameter information such as the voltage, current, active power, and reactive power of each node in the power grid needs to be obtained. The operating parameters such as the voltage, current, active power, and reactive power of each node in the power grid can be collected in real time through the Supervisory Control and Data Acquisition (SCADA) system and the Phasor Measurement Unit (PMU). Among them, the SCADA system uses Remote Terminal Units (RTUs) and Intelligent Electronic Devices (IEDs) to collect data, while the PMU provides high-precision and high-frequency voltage and current phasor measurements to capture the dynamic changes of the power grid. Then, the collected data is preprocessed, including data cleaning, error correction, and format conversion, and state estimation algorithms are used to eliminate noise and errors to ensure the accuracy and consistency of the data. Subsequently, based on the topological structure and component parameters of the power grid, power flow equations are established, including node voltage equations and power balance equations, to describe the electrical relationships of each node in the power grid. Then, numerical calculation methods (such as the Newton-Raphson method, Gauss-Seidel method, etc.) are used to solve the power flow equations, and parameters such as the voltage amplitude, phase angle, active power, and reactive power of each node are obtained through iterative calculations, and the convergence and accuracy of the results are ensured.

[0034] By fully exploiting the power regulation capabilities of nodal flexibility resources and achieving coordinated optimization with the power transmission characteristics of grid flexibility resources, the overall regulation effect of the system can be improved.

[0035] It should also be noted that power flow calculations include using numerical calculation methods, such as the Newton-Raphson method or the Gauss-Seidel method, to iteratively solve for the voltage amplitude, phase angle, active power, and reactive power of each node.

[0036] Furthermore, flexibility resources include the power regulation capabilities of distributed power sources and energy storage systems. The regulation range of controllable distributed new energy is limited by the maximum and minimum power outputs, and the charge and discharge power of the energy storage system is constrained by the energy capacity and the current state of charge.

[0037] Based on the topological structure and operating parameters of the power grid, a model is built, considering factors such as the load fluctuations of each node and the output changes of distributed energy sources, to quantify the degree of supply-demand matching of system flexibility.

[0038] S2: Calculate the power compensation amount required by the system according to the real-time monitored flexibility supply transmission amount and demand transmission amount.

[0039] Furthermore, based on the obtained operating parameters, models and analyses are respectively carried out for the flexibility resources of each node and the flexibility supply-demand relationship of the system.

[0040] According to the flexibility supply-demand model of the node, the regulation ability of the flexibility resource is expressed as:

[0041]

[0042] Among them, are the upward and downward flexibility capabilities of the controllable distributed new energy (DG) at node j; W DG,j is the active power output of the controllable DG at node j; W DG,j , W DG,j are the maximum and minimum values of the active power output of the controllable DG at node j, respectively; are the upward and downward flexibility capabilities of the energy storage system at node j, respectively. W ESS,j,d,max , W ESS,j,c,min are the maximum and minimum values of the active power of charge and discharge of the energy storage system at node j, respectively. W ESS,j,c is the active power of charge and discharge of the energy storage system at node j; n ESS,j,d , n ESS,j,c are the battery charge and discharge flags of the energy storage system at node j, respectively.

[0043] It should be noted that according to the flexibility supply and demand model of the node, the index for evaluating the node flexibility is expressed as:

[0044]

[0045] Among them, are the actual value and predicted value of the net load at node i at time t, respectively. are the actual value and predicted value that meet the requirements, respectively. and are the actual value and predicted value of the power support from the wind and light nodes to node i, respectively. Ω PT , Ω PV are the sets of wind and light unit nodes, respectively. ε i , ε load,i , ε PT,i , ε PV,i are the prediction errors of the net load at node i, load prediction error, wind power support prediction error, and photovoltaic power support prediction error, respectively, and all follow the standard normal distribution.

[0046] According to the flexibility supply and demand model of the system, by introducing the distribution factor (I SDF ), the association relationship between the node and the system is established, expressed as:

[0047] ΔW Branch,i =σ SDF,j-i ΔW j

[0048] Among them, ΔW j is the change in the active power injected at node j: ΔP branch,i is the change in the active power flow on line i. σ SDF,j-i is the power transfer distribution factor between node j and line i.

[0049] In the implementation of this case, to analyze the flexibility of each node and the flexibility supply-demand model of the system, first, based on the parameter information of the voltage, current, active power, and reactive power of each node obtained from the power flow calculation, evaluate the flexibility resources of each node, including the power regulation capabilities of devices such as distributed generation (DG) and energy storage systems (ESS), and quantify their potential for upward flexibility (increasing power output) and downward flexibility (decreasing power output). Then, combined with the topological structure and operating state of the power grid, construct the flexibility supply-demand model of the system. This model establishes the correlation between nodes and the system by introducing the participation factor (PTDF) and quantifies the contribution of the flexibility resources of each node to the overall flexibility of the system. Analyze the flexibility requirements of the system under different operating scenarios, including the impact of factors such as load fluctuations and changes in distributed energy output on the system flexibility.

[0050] According to the real-time monitored flexibility supply transmission volume and demand transmission volume, calculate the power compensation volume required by the system.

[0051] The demand transmission volume of flexibility is expressed as:

[0052]

[0053] where are the upward and downward flexibility demand transmission volumes of line j at time t. N is the total number of system nodes. σ SDF,j-i is the system distribution factor (SDF) from node j to node i. are the upward and downward flexibility demands of node j at time t respectively. N is the total number of nodes in the system. M is the number of nodes to be calculated. This formula transmits the flexibility demand of each node to the target node through the system distribution factor, thereby realizing the accurate quantification and allocation of the system flexibility demand.

[0054] After obtaining the flexibility supply transmission volume and demand transmission volume, the compensated power volume is expressed as:

[0055]

[0056] where are the upward and downward flexibility power compensation volumes required by the system respectively. and are the upward and downward flexibility demand transmission volumes of node j respectively, and are the upward and downward flexibility supply transmission volumes of line l respectively.

[0057] In this implementation case, the actually required compensation power W c,real should satisfy the following constraint conditions:

[0058]

[0059] Among them, and respectively represent the boundary values of the upward and downward flexibility power compensation amounts required by the system. P c,max is the maximum power compensation amount for the given allowable line flexibility deficiency. P c,real is the compensation power actually required. This constraint ensures the feasibility and safety of the compensation power during actual operation, and at the same time avoids system instability or equipment overload problems caused by excessive compensation power.

[0060] In this implementation case, in order to determine the amount of power to be compensated, first, based on the analysis results of the flexibility supply-demand model, the flexibility supply transmission amounts of each line in the system (including the upward and downward flexibility capabilities of distributed power sources and energy storage systems) and the flexibility demand transmission amounts (including the flexibility demands caused by load fluctuations and distributed energy output changes) are obtained in real time. Then, by comparing the matching situation of flexibility supply and demand, the flexibility gaps of each line in the system are calculated, which are specifically manifested as insufficient upward flexibility or excessive downward flexibility. Then, the distribution factor (PTDF) in the flexibility supply-demand model is used to map the capabilities of node flexibility resources to the system level, and the upward and downward power compensation amounts required by the system as a whole are calculated. Finally, combined with the system operation constraints (such as line capacity limits, equipment adjustment ranges, etc.), the amount of power to be actually compensated is determined, and the compensation power is ensured to be within the allowable maximum power compensation range to avoid system overload or unstable operation.

[0061] S3: Dynamically adjust the tap position of the phase-shifting transformer according to the calculated power compensation amount.

[0062] Furthermore, dynamically adjusting the tap position of the phase-shifting transformer includes that the adjustment angle of the phase-shifting transformer is determined according to the voltage amplitudes, phase angle differences of the buses at both ends of the line and the equivalent reactance value of the line, and is dynamically adjusted within the range of system operation constraints.

[0063] It should be noted that the optimal adjustment angle of the phase-shifting transformer is expressed as:

[0064]

[0065] Among them, U i , U j are the bus voltage amplitudes of node i and node j respectively. θ i , θ j are the bus voltage phases of node i and node j respectively. X L$X_{eq}$ is the equivalent reactance value of the connection line, and $\alpha$ is the angle adjusted by the phase-shifting transformer. By adjusting the phase-shifting angle $\alpha$, the phase angle difference at both ends of the line can be precisely controlled, thereby realizing the optimal adjustment of the line power flow distribution.

[0066] In this embodiment, the tap of the phase-shifting transformer is adjusted according to the actually required compensation power amount to achieve flexible compensation for the power grid. First, based on the calculated actually required compensation power amount, the adjustment direction and amplitude required for the phase-shifting transformer are determined. Among them, increasing the compensation power corresponds to increasing the phase angle of the phase-shifting transformer, and decreasing the compensation power corresponds to decreasing the phase angle. Then, according to the adjustment characteristics of the phase-shifting transformer and combined with the real-time operating state of the power grid (such as node voltage, line power flow, etc.), the optimal adjustment angle of the phase-shifting transformer is calculated to ensure that the adjusted phase angle can effectively balance the power transmission at both ends of the line, thereby realizing the precise control of the power flow. Then, an adjustment command is sent to the phase-shifting transformer through the control system to dynamically adjust its tap so that its phase angle reaches the optimal value, thereby compensating for the flexibility gap in the system. Finally, the flexible compensation effect is verified by real-time monitoring of the operating state of the adjusted power grid. If the compensation effect does not meet the expectation, the adjustment angle is further optimized or the compensation strategy is adjusted until the flexibility requirement of the system is met.

[0067] Embodiment 2 is the second embodiment of the present invention, which is different from the previous two embodiments in that:

[0068] If the described function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that makes a contribution to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0069] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a definitional sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or in conjunction with these instruction execution systems, apparatuses, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0070] More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection portion with one or more wirings (electronic device), a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or otherwise processing as appropriate, and then storing it in a computer memory.

[0071] It should be understood that the various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), and the like.

[0072] Embodiment 3 is the third embodiment of the present invention. This embodiment provides a system for a phase-shifting transformer control method based on the flexibility of a distribution network, including a power flow calculation module, a power compensation calculation module, and a phase-shifting transformer adjustment module;

[0073] Among them, the power flow calculation module is used to perform power flow calculations on the power grid system to obtain the operating parameters of each node; based on the obtained operating parameters, the flexibility resources of each node and the flexibility supply-demand relationship of the system are respectively modeled and analyzed; the power compensation calculation module is used to calculate the power compensation amount required by the system according to the real-time monitored flexibility supply transmission amount and demand transmission amount; the phase-shifting transformer regulation module is used to dynamically regulate the gear position of the phase-shifting transformer according to the calculated power compensation amount.

[0074] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. A phase-shifting transformer control method based on distribution network flexibility, characterized in that: include: Perform power flow calculations on the power grid system to obtain the operating parameters of each node; based on the obtained operating parameters, model and analyze the flexibility resources of each node and the flexibility supply and demand relationship of the system; Calculate the power compensation required by the system based on the flexible supply transmission and demand transmission of real-time monitoring; According to the calculated power compensation amount, the gear position of the phase-shifting transformer is dynamically adjusted.

2. The phase-shifting transformer control method based on distribution network flexibility according to claim 1, characterized in that: The acquisition of the operating parameters of each node includes real-time acquisition of the voltage, current, active power and reactive power of each node in the power grid through a monitoring and data acquisition system and a phasor measurement unit, and performing power flow calculation.

3. The phase-shifting transformer control method based on distribution network flexibility according to claim 2, characterized in that: The power flow calculation includes adopting a numerical calculation method, a Newton-Raphson method or a Gauss-Seidel method, to iteratively solve the voltage amplitude, phase angle, active power and reactive power of each node.

4. The phase-shifting transformer control method based on distribution network flexibility according to claim 3 is characterized in that: The flexibility resources include the power regulation capabilities of distributed power sources and energy storage systems. The regulation range of controllable distributed new energy sources is limited by the maximum and minimum power outputs, and the charging and discharging power of energy storage systems is constrained by energy capacity and current state of charge. Modeling is done based on the grid topology and operating parameters, taking into account factors such as load fluctuations at each node and changes in the output of distributed energy resources, to quantify the degree of supply and demand matching of system flexibility.

5. The phase-shifting transformer control method based on distribution network flexibility according to claim 4, characterized in that: The flexibility supply and demand relationship includes modeling based on the grid topology and operating parameters, comprehensively considering the load fluctuations of each node, the output changes of distributed energy and the overall operating status of the system, so as to quantify the degree of matching between supply and demand of system flexibility, and determine the transmission of the flexibility requirements of each node on different lines through the system distribution factor.

6. The phase-shifting transformer control method based on distribution network flexibility according to claim 5, characterized in that: The amount of power compensation required by the computing system includes ensuring that the regulation capability of the supply side meets the power compensation requirements of the demand side based on the flexibility of supply and demand matching, while complying with the safety constraints of the system.

7. The phase-shifting transformer control method based on distribution network flexibility according to claim 6, characterized in that: The gear position of the phase-shifting transformer is dynamically adjusted, and the adjustment angle of the phase-shifting transformer is determined according to the voltage amplitude and phase angle difference of the busbars at both ends of the line and the equivalent reactance value of the line, and is dynamically adjusted within the range of system operation constraints.

8. A system using the phase-shifting transformer control method based on distribution network flexibility as claimed in any one of claims 1 to 7, characterized in that: Including power flow calculation module, power compensation calculation module, phase-shifting transformer adjustment module; The power flow calculation module is used to perform power flow calculation on the power grid system and obtain the operating parameters of each node; based on the obtained operating parameters, the flexibility resources of each node and the flexibility supply and demand relationship of the system are modeled and analyzed respectively; The power compensation calculation module is used to calculate the power compensation amount required by the system according to the flexible supply transmission amount and the required transmission amount monitored in real time; The phase-shifting transformer adjustment module is used to dynamically adjust the gear position of the phase-shifting transformer according to the calculated power compensation amount.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the phase-shifting transformer control method based on distribution network flexibility described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the phase-shifting transformer control method based on distribution network flexibility described in any one of claims 1 to 7 are implemented.

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