Flexible DC converter station control method and system with dynamic voltage setting capability

Abstract

The invention discloses a flexible DC converter station control method and system with dynamic voltage setting capability, and the method comprises the steps: dynamically monitoring the operation state of a system, and constructing a data optimization model for solving; the voltage setting value of the flexible DC converter station can be dynamically adjusted according to the power grid state, the node voltage level, the reactive power supporting capacity, the output expectation and other factors, adaptive optimization of system voltage distribution can be achieved, cooperative control with reactive power supporting equipment of the new energy station can be achieved, the total active power output of the new energy station can be maximized, and the system reliability is improved. The voltage compliance operation of the system is guaranteed, and the steady-state safety margin of the island system is improved.

Description

Technical Field

[0001] The present invention relates to the field of power system control technology, and in particular, to a control method and system for a flexible direct current converter station with dynamic voltage setting capability, an electronic device, and a computer-readable storage medium. Background Art

[0002] With the large-scale access of new energy, flexible direct current transmission technology (VSC-HVDC) has gradually become an important means of long-distance renewable energy transmission. Especially in the isolated island transmission system, the flexible direct current converter station needs to take on the role of "voltage source" of the entire system. At present, flexible direct current converter stations generally adopt VF control (Voltage-Frequency Control) strategy to provide stable voltage and frequency reference. The VF control strategy generally adopts a statically set voltage reference value V set This set value is usually determined and maintained during the design phase. If voltage deviation or reactive power imbalance occurs in the system, it mainly relies on coordinated adjustment of reactive power compensation equipment such as phase-shifting transformers and SVGs. However, due to factors such as the uncertainty of renewable energy output, the lack of synchronous inertia in the system, and limited reactive power support capacity, the statically set voltage reference value lacks the ability to adapt to the operating state in real time. It is prone to voltage out of control under high output or specific load conditions, and it is also unable to fully coordinate the active-reactive resource allocation within the system. In addition, when the node voltage deviation is large, it is difficult to ensure voltage compliance at all nodes through local reactive power support alone, which limits the grid-connected output of renewable energy, resulting in insufficient overall system collaborative optimization capabilities, limiting the flexible operation of the flexible direct current system and the efficient use of renewable energy. Summary of the Invention

[0003] The present invention provides a control method and system for a flexible DC converter station with dynamic voltage setting capability, an electronic device, and a computer-readable storage medium. The method can dynamically adjust the voltage setting value of the flexible DC converter station according to factors such as the grid status, node voltage level, reactive power support capability, and output expectation, thereby achieving adaptive optimization of the system voltage distribution, and coordinated control with the reactive power support equipment of the new energy station. It can also maximize the total active power output of the new energy station, ensure the system voltage operates in compliance, and improve the steady-state safety margin of the island system.

[0004] According to one aspect of the present invention, a control method for a flexible DC converter station with dynamic voltage setting capability is provided, comprising the following contents:

[0005] Collect the current operating status data of the system;

[0006] A voltage-active power output optimization model was constructed using the voltage setpoint of the flexible DC converter station and the reactive power injection amount of each renewable energy station as optimization variables, with the goal of maximizing the total active power output of the system's renewable energy stations, and node voltage compliance and reactive power support capacity limits as constraints.

[0007] Solve the voltage-active power output optimization model based on the system's current operating status data to obtain the optimal variables;

[0008] Based on the optimal variables, control instructions are issued to the reactive support equipment of the flexible DC converter station and each new energy station.

[0009] Furthermore, the optimization objective function of the voltage-active power output optimization model is:

[0010]

[0011] Where N represents the number of new energy stations in the system, V set Indicates the voltage setting value of the flexible DC converter station, {Q i} represents the reactive injection amount of each new energy station in the system, P i () represents the active power output function of the i-th new energy station, which is limited by the node voltage. i Represents the voltage amplitude of the i-th new energy station, P i max represents the maximum output of the i-th new energy station, V i min and V i max Indicates the lower and upper limits of the node voltage, λ i Represents the output fallback sensitivity coefficient of the i-th new energy station.

[0012] Furthermore, the constraints of the voltage-active power output optimization model are:

[0013]

[0014] Among them, V i () represents the voltage calculation function, which is limited by the voltage setting value of the flexible DC converter station and the reactive power injection amount of each new energy station. K represents the key monitoring node set, Q i represents the reactive power injection amount of the i-th new energy station, and represents the lower and upper limits of reactive power injection of the i-th renewable energy station, and Indicates the lower and upper limits of the voltage setting value of the flexible DC converter station.

[0015] Furthermore, the expression of the voltage calculation function is:

[0016]

[0017] Among them, V i 0 They represent the voltage amplitude of the i-th renewable energy station, the voltage setting value of the flexible DC converter station, and the reactive injection amount of the j-th renewable energy station under the current operating state of the system, respectively. i represents the sensitivity of the node voltage of the i-th new energy station to the voltage setting value, β ij It represents the sensitivity of the node voltage of the i-th renewable energy station to the reactive power injection amount of the j-th renewable energy station.

[0018] Furthermore, when solving the problem, the voltage-active power output optimization model is first transformed into a linear programming model, which can be expressed as:

[0019]

[0020] st

[0021]

[0022] V i min ≤V i ≤V i max

[0023]

[0024] P i ≤P i max

[0025] P i =f i (V i )

[0026] Among them, f i () represents the mapping relationship between the active output of the i-th new energy station and its voltage amplitude.

[0027] Furthermore, it also includes the following:

[0028] Feedback loop control is performed according to the preset control period.

[0029] Furthermore, the feedback loop control mechanism is:

[0030] Compare the current voltage deviation of each renewable energy station. If the current voltage deviation of a renewable energy station exceeds the allowable range multiple times in a row, trigger the loop control and re-optimize the voltage setting value of the flexible DC converter station.

[0031] If the actual output of at least one new energy station does not reach the expected output, the voltage setting value of the flexible DC converter station will be re-optimized;

[0032] If the reactive support equipment reaches the upper and lower limits, adjust its adjustment priority or release the adjustment authority of the voltage setting value;

[0033] If the continuous change amplitude of the voltage setting value of the flexible DC converter station is less than the preset threshold, it is determined to have converged and the voltage setting value is maintained unchanged.

[0034] In addition, the present invention also provides a flexible DC converter station control system with dynamic voltage setting capability, comprising:

[0035] Data acquisition module, used to collect the current operating status data of the system;

[0036] The model building module is used to construct a voltage-active power output optimization model using the voltage setpoint of the flexible DC converter station and the reactive power injection amount of each renewable energy station as optimization variables, with the goal of maximizing the total active power output of the system's renewable energy stations, and with node voltage compliance and reactive power support capacity limits as constraints;

[0037] The variable solving module is used to solve the voltage-active power output optimization model based on the current operating status data of the system to obtain the optimal variables;

[0038] The control module is used to issue control instructions to the reactive support equipment of the flexible DC converter station and each new energy station based on the optimal variables.

[0039] In addition, the present invention also provides an electronic device, including a processor and a memory, wherein the memory stores a computer program, and the processor is configured to execute the steps of the above method by calling the computer program stored in the memory.

[0040] In addition, the present invention also provides a computer-readable storage medium for storing a computer program for controlling a flexible DC converter station with dynamic voltage setting capability, wherein the computer program executes the steps of the method described above when running on a computer.

[0041] The present invention has the following beneficial effects:

[0042] The control method of the flexible DC converter station with dynamic voltage setting capability of the present invention dynamically monitors the system operating status and constructs a data optimization model for solution, so that the voltage setting value of the flexible DC converter station can be dynamically adjusted according to factors such as the grid status, node voltage level, reactive support capability, and output expectation. It can not only realize adaptive optimization of the system voltage distribution, and coordinate control with the reactive support equipment of the new energy station, but also maximize the total active output of the new energy station, ensure the system voltage compliance operation, and improve the steady-state safety margin of the island system.

[0043] In addition, the flexible DC converter station control system with dynamic voltage setting capability of the present invention also has the above advantages.

[0044] In addition to the above-described objects, features and advantages, the present invention has other objects, features and advantages. The present invention will be further described in detail below with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The accompanying drawings, which constitute part of this application, are intended to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are intended to explain the present invention and do not constitute an undue limitation of the present invention. In the accompanying drawings:

[0046] Figure 1 This is a flow chart of a method for controlling a flexible DC converter station with dynamic voltage setting capability according to a preferred embodiment of the present application;

[0047] Figure 2 This is another flow chart of the flexible DC converter station control method with dynamic voltage setting capability according to a preferred embodiment of the present application;

[0048] Figure 3 It is a schematic diagram of the module structure of a flexible DC converter station control system with dynamic voltage setting capability according to another embodiment of the present application. DETAILED DESCRIPTION

[0049] It should be noted that, in the absence of conflict, the embodiments and features of the embodiments in this application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0050] Reference Figure 1 The preferred embodiment of the present application provides a control method for a flexible DC converter station with dynamic voltage setting capability, comprising the following contents:

[0051] Step S1: Collect the current operating status data of the system;

[0052] Step S2: Using the voltage setpoint of the flexible DC converter station and the reactive power injection amount of each renewable energy station as optimization variables, maximizing the total active power output of the renewable energy stations in the system as the goal, and node voltage compliance and reactive power support capacity limits as constraints, a voltage-active power output optimization model is constructed.

[0053] Step S3: Solve the voltage-active power output optimization model based on the current operating status data of the system to obtain the optimal variables;

[0054] Step S4: Based on the optimal variables, control instructions are issued to the reactive power support equipment of the flexible DC converter station and each new energy station.

[0055] It can be understood that the flexible DC converter station control method with dynamic voltage setting capability of this embodiment first collects the current operating status data of the power grid system in real time, and then uses the voltage setting value of the flexible DC converter station and the reactive injection amount of each new energy station as optimization variables, takes the maximum total active output of the system's new energy stations as the goal, and takes the node voltage compliance and reactive support capacity limit as constraints to construct a voltage-active power transmission optimization model, solves the optimization model to obtain the optimal variables, and finally, based on the optimal variables, issues control instructions to the flexible DC converter station and the reactive support equipment of each new energy station. The flexible DC converter station control method of the present invention dynamically monitors the system operating status and constructs a data optimization model for solution, so that the voltage setting value of the flexible DC converter station can be dynamically adjusted according to factors such as the power grid status, node voltage level, reactive support capacity, and output expectation. It can not only realize the adaptive optimization of the system voltage distribution, but also coordinate control with the reactive support equipment of the new energy station, and maximize the total active output of the new energy station, ensure the system voltage compliance operation, and improve the steady-state safety margin of the island system.

[0056] Among them, in the step S1, in the island operation scenario, the flexible DC converter station provides the only voltage source for the system, and each new energy station in the system needs to control the power output around the voltage setting value provided by it. In order to achieve dynamic voltage regulation, it is necessary to perceive the operating status data of the system in real time, including the node set, the real-time voltage amplitude of each node, the actual active output and maximum output capacity of each new energy station, the real-time reactive injection amount and upper and lower limits of the reactive injection amount of reactive support equipment such as SVG / phase regulator configured at each new energy station, the current voltage setting value of the flexible DC converter station, the key monitoring node set, the node voltage allowable range, etc. All of the above data can be obtained through the station control system, voltage monitoring device, EMS system, etc., and a synchronous data acquisition device (such as PMU) can also be used to further improve the control accuracy.

[0057] In addition, in step S2, the voltage setting value of the flexible DC converter station and the reactive injection amount of each new energy station are used as optimization variables, the maximum total active output of the system's new energy stations is used as the optimization goal, and the node voltage compliance and reactive support capacity limit are used as constraints to construct a voltage-active power transmission optimization model. The optimization objective function of the voltage-active power transmission optimization model is:

[0058]

[0059] Where N represents the number of new energy stations in the system, V set Indicates the voltage setting value of the flexible DC converter station, {Q i} represents the reactive injection amount of each new energy station in the system, P i () represents the active power output function of the i-th new energy station, which is limited by the node voltage.i Represents the voltage amplitude of the i-th new energy station, P i max represents the maximum output of the i-th new energy station, V i min and V i max Indicates the lower and upper limits of the node voltage, λ i It represents the output fallback sensitivity coefficient of the i-th renewable energy station, which depends on the load reduction strategy of the inverter and is generally a positive number.

[0060] In addition, the constraints of the voltage-active power transmission optimization model are:

[0061]

[0062] Among them, V i () represents the voltage calculation function, which is affected by the voltage setting value V of the flexible DC converter station. set and the reactive injection amount of each new energy station {Q i}restriction, K represents the key monitoring node set, Q i represents the reactive injection amount of the reactive support equipment of the i-th new energy station, and represents the lower and upper limits of reactive power injection of the i-th renewable energy station, and Indicates the lower and upper limits of the voltage setting value of the flexible DC converter station.

[0063] In addition, since the voltage V i With V set and{Q i} shows nonlinear changes. In order to facilitate rapid solution, this application adopts a linear sensitivity method based on the power flow Jacobian matrix for first-order approximation. Specifically, the converter station bus (generally the system center bus) is selected as the reference, and the voltage change of node i can be approximately expressed as: Where, ΔV i Indicates the voltage change value of node i, ΔV set Indicates the change in the voltage setting value of the flexible DC converter station, ΔQ j Represents the reactive injection change of the reactive support equipment of the j-th new energy station. α i It represents the sensitivity of the node voltage of the i-th new energy station to the voltage setting value, and β ij The sensitivity of the node voltage of the i-th renewable energy station to the reactive injection amount of the j-th renewable energy station is expressed as follows:

[0064]

[0065] Among them, V i 0 , They represent the voltage amplitude of the i-th renewable energy station, the voltage setting value of the flexible DC converter station, and the reactive injection amount of the j-th renewable energy station under the current operating state of the system, respectively. i represents the sensitivity of the node voltage of the i-th new energy station to the voltage setting value, β ij Represents the sensitivity of the node voltage of the i-th renewable energy station to the reactive injection amount of the j-th renewable energy station. After determining the two sensitivity matrices α and β, the node voltage can be solved based on the above linear model. In addition, the two sensitivity matrices can be determined by existing analytical methods, numerical perturbation methods or data-driven methods. Among them, the analytical method is to determine the sensitivity matrix by constructing a simplified Jacobian inverse matrix based on the B matrix, and the numerical perturbation method is to determine the sensitivity matrix by perturbing V set and Q i The sensitivity matrix is ​​determined by solving the partial derivatives of AC power flow estimation. The data-driven method uses historical operating data and linear regression estimation coefficients to determine the sensitivity matrix. These three methods are all existing technologies, and the specific process and principles of determining the sensitivity matrix will not be repeated here.

[0066] When solving, it is necessary to first convert the voltage-active power output optimization model’s objective function P i (V i The nonlinear part of ) is approximated by a piecewise linear function and transformed into a linear programming model, which can be expressed as:

[0067]

[0068] st

[0069]

[0070] V i min ≤V i ≤V i max

[0071]

[0072] P i ≤P i max

[0073] P i =f i (V i )

[0074] Among them, f i () represents the mapping relationship between the active output of the i-th new energy station and its voltage amplitude.

[0075] In addition, in step S3, for small systems, the amount of calculation is small, and the embedded QP solver (such as Cvxopt, Gurobi, etc.) can be used to solve the model and quickly obtain the optimal variables; for large systems, the amount of calculation is large, and the decoupling optimization strategy is adopted to first determine V set , and then locally adjust Q i In addition, if the real-time requirement is high, you can also use pre-training lookup tables or use reinforcement learning approximation to solve it, such as using machine learning methods to train V offline. set -P i -Q i The mapping relationship is built and a mapping table is constructed. The optimal variable can be quickly obtained by real-time table lookup when online.

[0076] It is understood that this application proposes for the first time the sensitivity of node voltage to voltage setpoints and the sensitivity of node voltage to reactive injection, thereby enabling the linearization of node voltages using power flow sensitivity to facilitate efficient model solution and improve solution efficiency. Of course, in other embodiments of the present invention, solutions can also be obtained by constructing nonlinear models between node voltages, voltage setpoints, and reactive injection, but the computational complexity and complexity of the solution are relatively high, especially for large systems, where the solution may not be possible.

[0077] In addition, in step S4, after the voltage setting value of the flexible DC converter station and the optimal value of the reactive injection amount of each new energy station are obtained by solving in step S3, the optimal voltage setting value is sent to the flexible DC converter station main control system through the communication link of the control system, and the optimal value of the reactive injection amount is sent to the reactive support equipment of each new energy station. The flexible DC converter station updates the current voltage setting value to the optimal voltage setting value according to the received control instruction, and each reactive support equipment also adjusts its own reactive injection amount according to the received control instruction.

[0078] In addition, if Figure 2 As shown, the control method of the flexible DC converter station with dynamic voltage setting capability also includes the following contents:

[0079] Step S5: performing feedback loop control according to a preset control period.

[0080] Specifically, to ensure control stability and convergence, this application sets the control period to between 2 and 5 seconds and sets the following feedback loop control mechanism:

[0081] 1) Compare the current voltage deviation ΔV of each new energy station iIf the current voltage deviation of at least one new energy station exceeds the allowable range for multiple consecutive times (for example, three times), a loop control is triggered to re-optimize the voltage setting value of the flexible DC converter station, i.e., steps S1 to S4 are re-executed;

[0082] 2) If the actual output P of at least one new energy station i If the expected output is not achieved, the voltage setting value of the flexible DC converter station is re-optimized, i.e., steps S1 to S4 are re-executed;

[0083] 3) If a reactive support device reaches the upper and lower limits, adjust its adjustment priority, for example, adjust the reactive support device first, and then adjust other reactive support devices, or release the adjustment authority of the voltage setting value, that is, re-execute steps S1 to S4;

[0084] 4) If the voltage setting value of the flexible DC converter station is V set If the continuous change amplitude of is less than the preset threshold value ò, it is determined to have converged and the voltage setting value is maintained unchanged.

[0085] It can be understood that the above-mentioned feedback loop control mechanism of the present invention has strong engineering robustness, can effectively avoid control oscillations, and can adapt to various changes in the operating status of new energy stations.

[0086] In addition, the present invention is also verified by using a simulation model of a typical renewable energy island transmission system. The system includes 4 renewable energy stations with a total of 300MW. The converter station adopts VF control and the initial fixed V set =1.00, when the output gradually increases to full power, if V set , some node voltages exceed 1.10pu, limiting the output by about 20%; and after applying the control method of the present invention, V set Dynamically adjusting the voltage between 0.98 and 1.02, the voltage remained within the permitted range, the renewable energy output was increased to full power, and the overall system operating voltage deviation decreased by approximately 30%. This demonstrates that the flexible DC converter station control method with dynamic voltage setting capability of the present invention can dynamically adjust the voltage setting value of the flexible DC converter station, maximize the total active power output of the renewable energy station, and ensure system voltage compliance.

[0087] In addition, if Figure 3 As shown, another embodiment of the present invention further provides a flexible DC converter station control system with dynamic voltage setting capability, preferably using the flexible DC converter station control method with dynamic voltage setting capability as described above, including:

[0088] Data acquisition module, used to collect the current operating status data of the system;

[0089] The model building module is used to construct a voltage-active power output optimization model using the voltage setpoint of the flexible DC converter station and the reactive power injection amount of each renewable energy station as optimization variables, with the goal of maximizing the total active power output of the system's renewable energy stations, and with node voltage compliance and reactive power support capacity limits as constraints;

[0090] The variable solving module is used to solve the voltage-active power output optimization model based on the current operating status data of the system to obtain the optimal variables;

[0091] The control module is used to issue control instructions to the reactive support equipment of the flexible DC converter station and each new energy station based on the optimal variables.

[0092] It can be understood that the flexible DC converter station control system with dynamic voltage setting capability of this embodiment first collects the current operating status data of the power grid system in real time, and then uses the voltage setting value of the flexible DC converter station and the reactive injection amount of each new energy station as optimization variables, takes the maximum total active power output of the system's new energy stations as the goal, and takes the node voltage compliance and reactive support capacity limit as constraints to construct a voltage-active power output optimization model, solves the optimization model to obtain the optimal variables, and finally, based on the optimal variables, issues control instructions to the flexible DC converter station and the reactive support equipment of each new energy station. The flexible DC converter station control system of the present invention dynamically monitors the system operating status and constructs a data optimization model for solution, so that the voltage setting value of the flexible DC converter station can be dynamically adjusted according to factors such as the power grid status, node voltage level, reactive support capacity, and output expectation. It can not only realize the adaptive optimization of the system voltage distribution, but also coordinate control with the reactive support equipment of the new energy station, and maximize the total active power output of the new energy station, ensure the system voltage compliance operation, and improve the steady-state safety margin of the island system.

[0093] In addition, the flexible DC converter station control system further includes:

[0094] The feedback loop control module is used to perform feedback loop control according to a preset control period.

[0095] In addition, another embodiment of the present invention further provides an electronic device, including a processor and a memory, wherein the memory stores a computer program, and the processor executes the steps of the above method by calling the computer program stored in the memory.

[0096] In addition, another embodiment of the present invention further provides a computer-readable storage medium for storing a computer program for controlling a flexible DC converter station with dynamic voltage setting capability, wherein the computer program executes the steps of the method described above when running on a computer.

[0097] Common computer-readable storage media include: floppy disks, flexible disks, hard disks, magnetic tape, any other magnetic media, CD-ROMs, any other optical media, punch cards, paper tape, any other physical medium with a pattern of holes, random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), flash-erasable programmable read-only memory (FLASH-EPROM), any other memory chip or cartridge, or any other medium that can be read by a computer. Instructions can further be transmitted or received via a transmission medium. The term transmission medium may include any tangible or intangible medium that can be used to store, encode, or carry instructions for execution by a machine, and includes digital or analog communication signals or other intangible media that facilitate communication of such instructions. Transmission media include coaxial cables, copper wire, and fiber optics, including the wires of a bus used to transmit a computer data signal.

[0098] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code. The scheme in the embodiment of the present application can be implemented in various computer languages, for example, object-oriented programming language Java and literal translation scripting language JavaScript, etc.

[0099] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0100] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0101] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0102] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application.

[0103] Obviously, those skilled in the art may make various changes and modifications to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalents, this application is intended to include these modifications and variations.

[0104] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. A control method for a flexible DC converter station with dynamic voltage setting capability, characterized in that: Includes the following: Collect the current operating status data of the system; A voltage-active power output optimization model was constructed using the voltage setpoint of the flexible DC converter station and the reactive power injection amount of each renewable energy station as optimization variables, with the goal of maximizing the total active power output of the system's renewable energy stations, and node voltage compliance and reactive power support capacity limits as constraints. Solve the voltage-active power output optimization model based on the system's current operating status data to obtain the optimal variables; Based on the optimal variables, control instructions are issued to the reactive support equipment of the flexible DC converter station and each new energy station.

2. The control method for a flexible DC converter station with dynamic voltage setting capability according to claim 1, characterized in that: The optimization objective function of the voltage-active power output optimization model is: Where N represents the number of new energy stations in the system, V set Indicates the voltage setting value of the flexible DC converter station, {Q i } represents the reactive injection amount of each new energy station in the system, P i () represents the active power output function of the i-th new energy station, which is limited by the node voltage. i Represents the voltage amplitude of the i-th new energy station, P i max represents the maximum output of the i-th new energy station, V i min and V i max Indicates the lower and upper limits of the node voltage, λ i Represents the output fallback sensitivity coefficient of the i-th new energy station.

3. The control method for a flexible DC converter station with dynamic voltage setting capability according to claim 2, characterized in that: The constraints of the voltage-active power transmission optimization model are: Among them, V i () represents the voltage calculation function, which is limited by the voltage setting value of the flexible DC converter station and the reactive power injection amount of each new energy station. K represents the key monitoring node set, Q i represents the reactive power injection amount of the i-th new energy station, and represents the lower and upper limits of reactive power injection of the i-th renewable energy station, and Indicates the lower and upper limits of the voltage setting value of the flexible DC converter station.

4. The control method for a flexible DC converter station with dynamic voltage setting capability according to claim 3, characterized in that: The expression of the voltage calculation function is: in, They represent the voltage amplitude of the i-th renewable energy station, the voltage setting value of the flexible DC converter station, and the reactive injection amount of the j-th renewable energy station under the current operating state of the system, respectively. i represents the sensitivity of the node voltage of the i-th new energy station to the voltage setting value, β ij It represents the sensitivity of the node voltage of the i-th renewable energy station to the reactive power injection amount of the j-th renewable energy station.

5. The control method for a flexible DC converter station with dynamic voltage setting capability according to claim 4, characterized in that: When solving the problem, the voltage-active power output optimization model is first transformed into a linear programming model, which can be expressed as: st In i min ≤V i ≤V i max P i ≤P i max P i =f i (V i ) Among them, f i () represents the mapping relationship between the active output of the i-th new energy station and its voltage amplitude.

6. The control method for a flexible DC converter station with dynamic voltage setting capability according to claim 1, characterized in that: Also included: Feedback loop control is performed according to the preset control period.

7. The control method for a flexible DC converter station with dynamic voltage setting capability according to claim 6, characterized in that: The feedback loop control mechanism is: Compare the current voltage deviation of each renewable energy station. If the current voltage deviation of a renewable energy station exceeds the allowable range multiple times in a row, trigger the loop control and re-optimize the voltage setting value of the flexible DC converter station. If the actual output of at least one new energy station does not reach the expected output, the voltage setting value of the flexible DC converter station will be re-optimized; If the reactive support equipment reaches the upper and lower limits, adjust its adjustment priority or release the adjustment authority of the voltage setting value; If the continuous change amplitude of the voltage setting value of the flexible DC converter station is less than the preset threshold, it is determined to have converged and the voltage setting value is maintained unchanged.

8. A flexible DC converter station control system with dynamic voltage setting capability, characterized in that: include: Data acquisition module, used to collect the current operating status data of the system; The model building module is used to construct a voltage-active power output optimization model using the voltage setpoint of the flexible DC converter station and the reactive power injection amount of each renewable energy station as optimization variables, with the goal of maximizing the total active power output of the system's renewable energy stations, and with node voltage compliance and reactive power support capacity limits as constraints; The variable solving module is used to solve the voltage-active power output optimization model based on the current operating status data of the system to obtain the optimal variables; The control module is used to issue control instructions to the reactive support equipment of the flexible DC converter station and each new energy station based on the optimal variables.

9. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory stores a computer program, and the processor is configured to execute the steps of the method according to any one of claims 1 to 7 by calling the computer program stored in the memory.

10. A computer-readable storage medium for storing a computer program for controlling a flexible DC converter station with dynamic voltage setting capability, characterized in that: When the computer program is run on a computer, the steps of the method according to any one of claims 1 to 7 are executed.

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