Voltage coordination control method, device and equipment for new energy multi-direct current receiving end power grid

Abstract

The invention discloses a voltage coordination control method, device and equipment for a new energy multi-direct current receiving end power grid, and relates to the technical field of power system stability analysis and control, and the method comprises the following steps: obtaining information whether an alternating current power grid has a fault or not; if no fault occurs, optimizing and setting DC near-region new energy voltage ride-through control parameters; when a fault occurs, emergency control measures are taken for multiple types of reactive power resources in the direct-current near area; after the emergency control measures, acquiring information about whether the alternating-current power grid fault is cleared or not; and if the fault is cleared, performing coordinated recovery control on the multi-circuit direct current system. The method is used for solving the problem that reactive power resources of an existing voltage coordination control strategy are not fully transferred.

Description

[0001] The present invention relates to the technical field of power system stability analysis and control, and more specifically, to a voltage coordination control method, device and equipment for a new energy multi-DC receiving-end power grid. Background Art

[0002] With the rapid development of DC transmission technology and new energy, the traditional AC power grid has gradually evolved into a multi-DC receiving-end power grid containing new energy.

[0003] The increase in the scale of new energy access will weaken the voltage stability of the power grid to a certain extent, and the failure of the AC power grid after multiple DC feeds is likely to cause commutation failure in the DC system, further increasing the risk of voltage instability in the receiving power grid.

[0004] Therefore, it is urgent to develop a voltage coordination control strategy for the receiving-end power grid. Some existing research methods fail to fully mobilize multiple types of reactive voltage resources, and the ability to improve voltage stability needs to be further improved. In view of the above problems, the present invention proposes a solution. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a voltage coordination control method, device and equipment for a new energy multi-DC receiving-end power grid, which solves the problem of insufficient reactive resource mobilization of the existing voltage coordination control strategy by optimizing the voltage coordination control of the receiving-end power grid.

[0006] To achieve the above object, the present invention provides the following technical solutions: The voltage coordination control method, device and equipment of a new energy multi-DC receiving-end power grid include the following steps: obtaining information on whether an AC power grid fault occurs; if no fault occurs, optimizing and setting the DC near-zone new energy voltage ride-through control parameters; if a fault occurs, taking emergency control measures for multiple types of reactive resources in the DC near-zone; obtaining information on whether the AC power grid fault is cleared after the emergency control measures are taken; if the fault is cleared, performing coordinated recovery control on multiple DC systems.

[0007] In a preferred embodiment, the optimization and adjustment of the DC near-zone renewable energy voltage ride-through control parameters are specifically as follows: based on an offline simulation method, a fault is set at the DC system converter bus; the overcurrent coefficient and reactive current peak multiples in the low voltage ride-through control of each renewable energy station are optimized respectively to obtain a set of parameters that minimize the voltage deviation of the grid connection point of each renewable energy station; the system short-circuit current is checked based on the obtained parameters, and if the short-circuit current is greater than the range allowed by the system at this time, the set of parameters is eliminated and optimized again until the parameter value that meets the short-circuit current constraint is obtained.

[0008] In a preferred embodiment, the emergency control measures for the multi-type reactive resources in the DC near-zone are specifically: after a power grid failure occurs, the voltage at the DC system commutation bus is monitored; whether the DC system commutation failure will be caused is determined according to a preset DC system commutation failure judgment formula; if it is determined that the DC system will have a commutation failure, emergency control is initiated and the DC near-zone node capacitors are put into operation.

[0009] In a preferred embodiment, the coordinated recovery control of the multi-circuit DC system is specifically as follows: after the power grid fault is cleared, the real-time commutation bus voltage of the multi-circuit DC system is monitored; the minimum value is obtained according to a preset calculation formula for the minimum value of the real-time commutation bus voltage of the multi-circuit DC system; and the real-time current command of each DC system is determined according to the minimum value of the real-time commutation bus voltage of the multi-circuit DC system.

[0010] In a preferred embodiment, the overcurrent coefficient and reactive current peak multiple in the low voltage ride through control of each new energy station are optimized, specifically: in combination with a preset optimization target formula, an initial value is arbitrarily selected within the feasible range of parameter values, and a particle swarm algorithm is used to optimize the overcurrent coefficient and reactive current peak multiple in the low voltage ride through control of each new energy station, and a set of parameters that minimize the voltage deviation of the grid connection point of each new energy station is obtained through continuous iteration.

[0011] In a preferred embodiment, the DC near-zone node capacitors are specifically: the DC near-zone node capacitors include reactive compensation capacity, and the specific method for obtaining the reactive compensation capacity is as follows: determine the number of spare reactive capacitor groups that can be used for emergency control at nodes in the area, the reactive compensation capacity of each group of capacitors and the maximum total capacity; calculate the reactive input amount at each node based on the sensitivity of the switched capacitors at each node to the DC commutation bus voltage; the reactive compensation capacity urgently invested at each node is the reactive input amount that does not exceed the maximum total capacity.

[0012] A device for a voltage coordination control method of a new energy multi-DC receiving-end power grid, characterized in that it includes a fault occurrence acquisition module, a parameter optimization module, an emergency control module, a fault clearing acquisition module and a coordination recovery module, and there is a connection between the modules; the fault occurrence acquisition module is used to obtain information on whether a fault occurs in the AC power grid; the parameter optimization module is used to optimize and set the DC near-zone new energy voltage ride-through control parameters when no fault occurs; the emergency control module is used to take emergency control measures on multiple types of reactive resources in the DC near-zone after a fault occurs; the fault clearing acquisition module is used to obtain information on whether the AC power grid fault is cleared after the emergency control measures are taken; and the coordination recovery module is used to coordinate and recover the multi-circuit DC system if the fault is cleared.

[0013] An electronic device, characterized in that the electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the voltage coordination control method for the new energy multi-DC receiving-end power grid provided in an embodiment of the present invention.

[0014] The technical effects and advantages of the voltage coordination control method, device and equipment of the new energy multi-DC receiving-end power grid of the present invention are as follows: The present invention optimizes and sets the low voltage ride-through control parameters of each new energy station respectively with the goal of minimizing the voltage deviation of each new energy station grid connection point through an offline simulation method and a particle swarm algorithm; determines whether the DC system commutation failure will be caused by a preset DC system commutation failure judgment formula, starts emergency control in time, and determines the reactive power compensation capacity for emergency investment through a DC near-zone node capacitor input amount calculation method; the DC system commutation failure judgment formula is used to predict commutation failures caused by single-phase faults and three-phase symmetrical faults, and its main advantages are accuracy, early prevention and rapid response, which helps to improve the stability and reliability of the DC transmission system, reduce power loss and equipment damage caused by commutation failure, and reduce economic losses; the emergency control DC near-zone node capacitor input amount calculation method can relatively accurately obtain the reactive power compensation capacity that needs to be urgently invested at each node, and its main advantage is to optimize the DC near-zone node capacitor input amount and avoid over-design. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic flow chart of the voltage coordination control method of the new energy multi-DC receiving-end power grid of the present invention.

[0016] Figure 2 The diagram is a schematic diagram of the device structure of the voltage coordination control method of the new energy multi-DC receiving-end power grid of the present invention.

[0017] Figure 3 It is a schematic diagram of the equipment structure of the voltage coordination control method of the new energy multi-DC receiving-end power grid of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments 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 creative work are within the scope of protection of the present invention.

[0019] Embodiment 1, Figure 1A voltage coordination control method for a new energy multi-DC receiving-end power grid of the present invention is provided, comprising the following steps: Obtain information on whether an AC power grid fault occurs; No fault occurs, and the DC near-zone new energy voltage ride-through control parameters are optimized and adjusted; In case of a fault, emergency control measures are taken for multiple types of reactive resources in the DC vicinity; Obtain information on whether the AC grid fault has been cleared after emergency control measures; If the fault is cleared, the multi-circuit DC system will be coordinated and restored to control.

[0020] The structure of renewable energy access to the power grid has undergone revolutionary changes from the early single-output single-input grid to the current multi-terminal interconnected structure, which has improved the flexibility and reliability of the power grid. The increase in the scale of renewable energy access will weaken the voltage stability of the power grid to a certain extent, and the failure of the AC power grid after multiple DC feeds is likely to cause phase change failure in the DC system, further increasing the risk of voltage instability in the receiving power grid. Therefore, it is urgent to develop a voltage coordination control strategy for the receiving power grid. Some existing research methods have failed to fully mobilize multiple types of reactive voltage resources, and the ability to improve voltage stability needs to be further improved.

[0021] This embodiment proposes a voltage coordination control method for a new energy multi-DC receiving-end power grid, which divides nodes into sections based on fault occurrence and fault clearance, and mobilizes multiple types of reactive voltage resources. Through offline simulation methods and particle swarm algorithms, with the goal of minimizing the voltage deviation of each new energy station grid connection point, combined with the preset optimization target formula, the low voltage crossing control parameters of each new energy station are optimized and adjusted respectively; through the preset DC system commutation failure judgment formula, it is judged whether it will cause the DC system commutation failure, and emergency control is started in time, and the reactive compensation capacity of emergency investment is determined through the DC near-zone node capacitor investment calculation method; by monitoring the real-time commutation bus voltage of multiple DC systems, the minimum value is obtained according to the preset multi-circuit DC system real-time commutation bus voltage minimum value calculation formula, and the real-time current instruction of each DC system is determined according to the real-time commutation bus voltage minimum value of the multiple DC systems.

[0022] In this embodiment, the optimization and setting of the DC near-zone renewable energy voltage ride-through control parameters are specifically as follows: Based on the offline simulation method, a fault is set at the commutation bus of the DC system; The overcurrent coefficient and reactive current peak multiple in the low voltage ride-through control of each renewable energy station are optimized to obtain a set of parameters that minimize the voltage deviation at the grid connection point of each renewable energy station. The system short-circuit current is checked based on the obtained parameters. If the short-circuit current is greater than the system allowable range, the group of parameters is eliminated and the optimization is performed again until the parameter value that meets the short-circuit current constraint is obtained.

[0023] In this embodiment, the overcurrent coefficient and reactive current peak multiple in the low voltage ride through control of each new energy station are optimized as follows: Combined with the preset optimization objective formula, the initial value is arbitrarily selected within the feasible range of parameter values, and the particle swarm algorithm is used to optimize the overcurrent coefficient and the reactive current peak multiple in the low voltage ride through control of each renewable energy station. Through continuous iteration, a set of parameters that minimize the voltage deviation of the grid connection point of each renewable energy station is obtained.

[0024] It should be noted that while new energy provides reactive voltage support, its reactive current will increase the system short-circuit current level, so it is necessary to verify the system short-circuit current based on the obtained parameters.

[0025] In this embodiment, the emergency control measures for multiple types of reactive resources in the DC near area are specifically: When a fault occurs in the power grid, the voltage V at the DC system converter bus is monitored. L , according to the preset DC system commutation failure judgment formula, it is judged whether the DC system commutation failure will occur. If it is determined that the DC system will have a commutation failure, the emergency control is started and the DC near-zone node capacitor is put into operation.

[0026] In this embodiment, the coordinated recovery control of the multi-circuit DC system is specifically as follows: After the fault is cleared, the real-time commutation bus voltage of the multi-circuit DC system is monitored, and its minimum value is obtained according to the preset calculation formula for the minimum value of the real-time commutation bus voltage of the multi-circuit DC system; The real-time current command of each DC system is determined according to the minimum value of the real-time commutation bus voltage of the multi-circuit DC system.

[0027] It should be noted that the offline simulation method involves the use of computer software models to simulate the operation of a system. This system can be physical, such as a mechanical system, power system or transportation system, or abstract, such as an economic model or a social system. The simulation model is built based on the mathematical model or logical model of the actual system, and the actual performance of the system is predicted by simulating the behavior of the system under different conditions. The method is non-invasive and the simulation process will not affect the actual system. It is suitable for scenarios with high direct testing costs or high risks. Simulation can predict the performance of the system under different loads and conditions and help with performance tuning. By simulating fault conditions, the system's fault response and recovery strategy can be analyzed. Based on this, this paper uses an offline simulation method to simulate a three-phase short circuit fault at the DC system converter bus.

[0028] Particle swarm optimization (PSO) is an optimization algorithm based on swarm intelligence. It simulates the foraging behavior of bird flocks in nature to find the optimal solution. In the particle swarm algorithm, each solution is regarded as a "particle". These particles fly at a certain speed in the solution space. Each particle dynamically adjusts its speed and position attributes according to its own experience (individual extreme value) and group experience (global extreme value), and finds the optimal solution through an iterative process. The PSO algorithm rules are relatively easy to understand and implement, and the number of parameters required to be set is relatively small, which reduces the difficulty of parameter adjustment. The PSO algorithm converges quickly and can usually find an approximate optimal solution in a short time. The speed and position of particles in the PSO algorithm The update mechanism enables it to jump out of the local optimal solution and explore different areas of the solution space, with strong global search capabilities; the PSO algorithm is suitable for solving multidimensional, nonlinear, and non-convex optimization problems, and can optimize problems in real time; based on this, this paper adopts the particle swarm algorithm to arbitrarily select initial values ​​within the feasible value range of the low voltage ride-through control parameters of each renewable energy station, and optimize them. Through continuous iteration, a set of parameters that minimize the deviation of the grid connection point is obtained, and the system short-circuit current is checked based on the obtained parameters. If the short-circuit current is greater than the range allowed by the system at this time, the set of parameters will be eliminated and the optimization will be re-performed until the parameter value that meets the short-circuit current constraint is obtained.

[0029] In this embodiment, the optimization objective formula is as follows:

[0030] Where: min∆U is the optimization target, U(t) represents the voltage at the grid connection point of the new energy station after the fault, Indicates the steady-state voltage value of the grid connection point of the new energy station before the fault. Indicates the time when the fault occurs. Indicates the moment when the grid connection point voltage returns to the steady-state value; In this embodiment, the feasible value range of the parameter is as follows:

[0031]

[0032] Where: is the overflow coefficient, is the multiple of the reactive current peak value, Indicates the lower limit of the overcurrent coefficient, Indicates the upper limit of the overcurrent coefficient. Indicates the lower limit of the reactive current peak multiple. Indicates the upper limit of the reactive current peak multiple.

[0033] In this embodiment, the DC system commutation failure judgment formula is as follows:

[0034] Where: is the voltage at the DC system commutation bus, It represents the commutation bus voltage when the DC system is in steady state operation. , They represent the trigger advance angle and the cut-off angle of the DC system respectively. Indicates the critical turn-off angle of commutation failure in the DC system; If the formula is established, it is determined that the DC system will have commutation failure.

[0035] In this embodiment, the DC near-zone node capacitor is specifically: The DC near-zone node capacitor includes the reactive power compensation capacity invested, and the specific method for obtaining the reactive power compensation capacity invested is as follows: Determine the number of spare reactive power groups available for emergency control at node i in the region , Reactive power compensation capacity of each group of capacitors and the maximum total capacity ; Calculate the sensitivity of the capacitors switched at each node to the DC bus voltage; switch on capacitors at node i. The reactive power compensation of the commutation bus node j increases by , then the sensitivity of the switched capacitor at node i to the bus voltage at node j is for:

[0036] Calculate the number of capacitor banks required for each node, assuming that the transient voltage of the DC bus node drops to , then the reactive power input of node i is:

[0037] Then the reactive power compensation capacity put into emergency operation at node i is:

[0038] In this embodiment, the calculation formula for the minimum value of the real-time commutation bus voltage of the multi-circuit DC system is as follows:

[0039] Where: is the minimum value of the real-time commutation bus voltage, represents the commutation bus voltage of the i-th DC system, and n represents the number of DC systems.

[0040] In this embodiment, the real-time current instructions of each DC system are as follows:

[0041] Where: is the real-time current instruction, Indicates the minimum current command preset by the DC system. Indicates the maximum current command value preset for the DC system.

[0042] Embodiment 2, Figure 2 A device for voltage coordination control method of a new energy multi-DC receiving-end power grid is provided, including a fault occurrence acquisition module, a parameter optimization module, an emergency control module, a fault clearing acquisition module and a coordination recovery module, and there are connections between the modules; A fault occurrence acquisition module is used to obtain information on whether a fault occurs in the AC power grid; Parameter optimization module, used to optimize and set the DC near-zone renewable energy voltage ride-through control parameters when no fault occurs; Emergency control module, used to take emergency control measures on multiple types of reactive resources in the DC area after a fault occurs; A fault clearing acquisition module is used to obtain information on whether the AC power grid fault has been cleared after emergency control measures; The coordinated recovery module is used to perform coordinated recovery control on the multi-circuit DC system if the fault is cleared.

[0043] Embodiment 3, Figure 3 An electronic device for a voltage coordination control method of a new energy multi-DC receiving-end power grid is provided.

[0044] The electronic device may include a processor, a memory, a communication bus and a communication interface, and may also include a computer program stored in the memory and executable on the processor, such as a voltage coordination control method for a new energy multi-DC receiving-end power grid.

[0045] Among them, the processor is the control core of the electronic device, which uses various interfaces and lines to connect the various components of the entire electronic device, and executes various functions of the electronic device and processes data by running or executing programs or modules stored in the memory, and calling data stored in the memory.

[0046] The memory includes at least one type of readable storage medium, and in some embodiments, the memory may be an internal storage unit of the electronic device, such as a mobile hard disk of the electronic device. The memory may be used to store not only application software installed in the electronic device but also various data.

[0047] The communication bus is configured to realize connection and communication between the memory and at least one processor.

[0048] The communication interface is used for communication between the above electronic device and other devices, including a network interface and a user interface.

[0049] The figure only shows an electronic device with components. Those skilled in the art will understand that the structure shown in the figure does not constitute a limitation on the electronic device, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0050] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0051] The voltage coordination control method for a new energy multi-DC receiving-end power grid stored in the memory in the electronic device is a combination of multiple instructions. When executed in the processor, the steps in the above-mentioned voltage coordination control method for a new energy multi-DC receiving-end power grid can be implemented.

[0052] Specifically, the specific implementation system of the processor for the above instructions can refer to the description of the relevant steps in the corresponding embodiment of the accompanying drawings, which will not be repeated here.

[0053] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0054] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0055] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0056] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0057] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0058] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A voltage coordination control method for a new energy multi-DC receiving-end power grid, characterized in that: The following steps are involved: Obtain information on whether an AC power grid fault occurs; No fault occurs, and the DC near-zone new energy voltage ride-through control parameters are optimized and adjusted; In case of a fault, emergency control measures are taken for multiple types of reactive resources in the DC vicinity; Obtain information on whether the AC grid fault has been cleared after emergency control measures; If the fault is cleared, the multi-circuit DC system will be coordinated and restored to control.

2. The voltage coordination control method of the new energy multi-DC receiving-end power grid according to claim 1 is characterized in that: The optimization and setting of the DC near-zone renewable energy voltage ride-through control parameters are specifically as follows: Based on the offline simulation method, a fault is set at the commutation bus of the DC system; The overcurrent coefficient and reactive current peak multiple in the low voltage ride-through control of each renewable energy station are optimized to obtain a set of parameters that minimize the voltage deviation at the grid connection point of each renewable energy station. The system short-circuit current is checked based on the obtained parameters. If the short-circuit current is greater than the system allowable range, the group of parameters is eliminated and the optimization is performed again until the parameter value that meets the short-circuit current constraint is obtained.

3. The voltage coordination control method of the new energy multi-DC receiving-end power grid according to claim 2 is characterized in that: The emergency control measures for multiple types of reactive resources in the DC area are as follows: After a power grid fault occurs, monitor the voltage at the DC system converter bus; Determine whether a DC system commutation failure will occur according to a preset DC system commutation failure judgment formula; If it is determined that the DC system will have a commutation failure, emergency control is initiated and the DC near-zone node capacitors are put into operation.

4. The voltage coordination control method of the new energy multi-DC receiving-end power grid according to claim 3 is characterized in that: The coordinated recovery control of the multi-circuit DC system is specifically as follows: After the grid fault is cleared, monitor the real-time commutation bus voltage of multiple DC systems; The minimum value is obtained according to the preset multi-circuit DC system real-time commutation bus voltage minimum value calculation formula; The real-time current command of each DC system is determined according to the minimum value of the real-time commutation bus voltage of the multi-circuit DC system.

5. The voltage coordination control method of the new energy multi-DC receiving-end power grid according to claim 4 is characterized in that: The optimization of the overcurrent coefficient and reactive current peak multiple in the low voltage ride through control of each new energy station is specifically as follows: Combined with the preset optimization objective formula, the initial value is arbitrarily selected within the feasible range of parameter values, and the particle swarm algorithm is used to optimize the overcurrent coefficient and the reactive current peak multiple in the low voltage ride through control of each renewable energy station. Through continuous iteration, a set of parameters that minimize the voltage deviation of the grid connection point of each renewable energy station is obtained.

6. The voltage coordination control method of the new energy multi-DC receiving-end power grid according to claim 5 is characterized in that: The input DC near-zone node capacitor is specifically: The DC near-zone node capacitor includes the reactive power compensation capacity invested, and the specific method for obtaining the reactive power compensation capacity invested is as follows: Determine the number of spare reactive capacitor groups available for emergency control at nodes in the region, the reactive compensation capacity of each group of capacitors, and the maximum total capacity; According to the sensitivity of the switched capacitors at each node to the DC commutation bus voltage, the reactive power input at each node is calculated; The reactive power compensation capacity urgently put into use at each node shall not exceed the reactive power input amount of the maximum total capacity.

7. The voltage coordination control method of the new energy multi-DC receiving-end power grid according to claim 6 is characterized in that: The optimization objective formula is as follows: Where: min∆U is the optimization target, U(t) represents the voltage at the grid connection point of the new energy station after the fault, Indicates the steady-state voltage value of the grid connection point of the new energy station before the fault. Indicates the time when the fault occurs. Indicates the moment when the grid connection point voltage returns to the steady-state value; In this implementation, the feasible value range of the parameter is as follows: Where: is the overflow coefficient, is the multiple of the reactive current peak value, Indicates the lower limit of the overcurrent coefficient, Indicates the upper limit of the overcurrent coefficient. Indicates the lower limit of the reactive current peak multiple. Indicates the upper limit of the reactive current peak multiple.

8. The voltage coordination control method of the new energy multi-DC receiving-end power grid according to claim 7 is characterized in that: The DC system commutation failure judgment formula is as follows: Where: is the voltage at the DC system commutation bus, It represents the commutation bus voltage when the DC system is in steady state operation. , They represent the trigger advance angle and the cut-off angle of the DC system respectively. Indicates the critical turn-off angle of commutation failure in the DC system; If the formula is established, it is determined that the DC system will have commutation failure; The calculation formula for the minimum value of the real-time commutation bus voltage of the multi-circuit DC system is as follows: Where: is the minimum value of the real-time commutation bus voltage, represents the commutation bus voltage of the i-th DC system, and n represents the number of DC systems; In this implementation, the real-time current instructions of each DC system are as follows: Where: is the real-time current instruction, Indicates the minimum current command preset by the DC system. Indicates the maximum current command value preset for the DC system.

9. A device using the voltage coordination control method of a new energy multi-DC receiving-end power grid as claimed in any one of claims 1 to 8, characterized in that: It includes a fault occurrence acquisition module, a parameter optimization module, an emergency control module, a fault clearing acquisition module and a coordination recovery module, and there are connections between the modules; A fault occurrence acquisition module is used to obtain information on whether a fault occurs in the AC power grid; Parameter optimization module, used to optimize and set the DC near-zone renewable energy voltage ride-through control parameters when no fault occurs; Emergency control module, used to take emergency control measures on multiple types of reactive resources in the DC area after a fault occurs; A fault clearing acquisition module is used to obtain information on whether the AC power grid fault has been cleared after emergency control measures; The coordinated recovery module is used to perform coordinated recovery control on the multi-circuit DC system if the fault is cleared.

10. An electronic device, characterized in that: The electronic device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the voltage coordination control method for a new energy multi-DC receiving-end power grid as described in any one of claims 1 to 8.

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