Reactive power optimization method, device, equipment, medium and product for extra-high voltage AC / DC hybrid power grid
By adopting a multi-objective optimization model in the ultra-high voltage power grid, the reactive power output is optimized, which solves the problem of reactive power optimization under large-scale and long-distance transmission conditions, and realizes the stability of the grid voltage and the safe operation of the power system.
Patent Information
- Application Number
- CN202510295701.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-13
- Publication Date
- 2025-04-29
AI Technical Summary
Traditional reactive power optimization methods cannot meet the needs of ultra-high voltage power grids under large-scale and long-distance transmission conditions, and cannot effectively solve voltage fluctuations caused by insufficient reactive power and power system shutdown accidents.
A multi-objective optimization model is used to optimize the reactive power output, and a reactive power optimization model aimed at the minimum of active loss and reactive power exchange is established. By solving and optimizing the model, the reactive power output of the reactive power compensation device is determined to meet the requirements of the optimization model.
It has achieved the reactive power optimization needs of ultra-high voltage power grids under large-scale and long-distance transmission conditions, improved the stability of the power grid voltage, and avoided the power system shutdown.
Smart Images
Figure CN119906041A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of power system optimization, and in particular to a method, device, equipment, medium and product for reactive power optimization of an ultra-high voltage AC / DC hybrid power grid. Background Art
[0002] Ultra-high voltage transmission technology plays an important role in the field of power transmission due to its advantages such as long distance, large capacity and low loss. In ultra-high voltage power grids, reactive power is a key factor in maintaining grid voltage stability and ensuring the normal operation of the power system. However, insufficient reactive power can lead to voltage fluctuations and even cause power system outages, seriously affecting the safety of power supply. The reactive power optimization of AC / DC hybrid systems is a multi-constrained, nonlinear optimization problem. Traditional reactive power optimization methods mostly use single-objective optimization, which cannot meet the needs of ultra-high voltage power grids under large-scale and long-distance transmission conditions. Summary of the invention
[0003] The purpose of this application is to provide a method, device, equipment, medium and product for reactive power optimization of a UHV AC / DC hybrid power grid to solve the problem that traditional reactive power optimization methods cannot meet the needs of UHV power grids under large-scale and long-distance transmission conditions.
[0004] To achieve the above objectives, this application provides the following solutions:
[0005] In a first aspect, the present application provides a method for optimizing reactive power in a UHV AC / DC hybrid power grid, comprising:
[0006] According to the parameter information of the UHV AC / DC hybrid power grid, a reactive power optimization model is established with the goal of minimizing active power loss and reactive power exchange.
[0007] Solving the reactive power optimization model to determine the reactive power output of the reactive power compensation device in the ultra-high voltage AC / DC hybrid power grid;
[0008] The reactive power output is optimized so that the optimized reactive power output satisfies the reactive power optimization model.
[0009] In a second aspect, the present application provides a reactive power optimization device for an ultra-high voltage AC / DC hybrid power grid, comprising:
[0010] A reactive power optimization model building module is used to build a reactive power optimization model with the goal of minimizing active power loss and reactive power exchange according to the parameter information of the UHV AC / DC hybrid power grid;
[0011] A solution module, used for solving the reactive power optimization model to determine the reactive power output of the reactive power compensation device in the UHV AC / DC hybrid power grid;
[0012] The reactive power optimization module is used to optimize the reactive power output so that the optimized reactive power output satisfies the reactive power optimization model.
[0013] In a third aspect, the present application provides a computer device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement any of the above-described methods for reactive power optimization of an ultra-high voltage AC / DC hybrid power grid.
[0014] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-mentioned methods for reactive power optimization of ultra-high voltage AC / DC hybrid power grids.
[0015] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements any of the above-mentioned methods for reactive power optimization of ultra-high voltage AC / DC hybrid power grids.
[0016] According to the specific embodiments provided in the present application, the present application discloses the following technical effects: the present application adopts a multi-objective optimization model to optimize reactive output, and the multi-objective optimization model is a reactive optimization model established with the goals of minimizing active power loss and minimizing reactive power exchange. Compared with the single-objective optimization method, the multi-objective optimization of the present application can meet the needs of ultra-high voltage power grids under large-scale and long-distance transmission conditions. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0018] Figure 1 This is an application scenario diagram of a reactive power optimization method for a UHV AC / DC hybrid power grid provided in this application;
[0019] Figure 2 A flow chart of a reactive power optimization method for a UHV AC / DC hybrid power grid provided in this application;
[0020] Figure 3 A structural diagram of a reactive power optimization device for a UHV AC / DC hybrid power grid provided in this application;
[0021] Figure 4 Schematic diagram of the computer equipment provided for this application. DETAILED DESCRIPTION
[0022] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0023] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.
[0024] The present application embodiment provides a method for optimizing reactive power of a UHV AC / DC hybrid power grid. Figure 1 As shown, the method is executed by a computer device, which can be executed by a computer device such as a terminal or a server alone, or by a terminal and a server together. In the embodiment of the present application, Figure 2 As shown, the method includes the following steps.
[0025] S1: Based on the parameter information of the UHV AC / DC hybrid power grid, a reactive power optimization model is established with the goal of minimizing active power loss and reactive power exchange. The parameter information includes node admittance matrix, resistor capacity, transformer ratio range, DC current value, DC resistance value, node voltage amplitude and generator reactive power output.
[0026] S2: Solve the reactive power optimization model to determine the reactive power output of the reactive power compensation device in the ultra-high voltage AC / DC hybrid power grid.
[0027] S3: Optimizing the reactive power output so that the optimized reactive power output satisfies the reactive power optimization model.
[0028] In an exemplary embodiment, before S1, the following steps are also included:
[0029] Construct constraints;
[0030] The constraints are:
[0031]
[0032] T i min ≤T i ≤T i max ;
[0033]
[0034] Among them, P g,i is the active output of the generator at node i, P L,i is the active load at node i, P D,iis the active power consumption of the converter station at node i, U i is the generator terminal voltage, N bus is the number of grid nodes, G ij is the conductance between node i and node j, θ ij is the phase angle difference between node i and node j, B ij is the susceptance between nodes i and j, Q g，i is the reactive power output of the generator at node i, Q L，i is the reactive load at node i, Q D，i is the reactive power consumption of the converter station at node i, T i max is the upper limit of the transformer ratio, T i min is the lower limit of the transformer ratio, Q C，i is the reactive power output of the capacitor bank, is the upper limit of the reactive power output of the capacitor bank, is the lower limit of the reactive power output of the capacitor bank, U g，i is the generator terminal voltage, is the upper limit of the generator terminal voltage, is the lower limit of the generator terminal voltage, is the voltage upper limit of node i, is the voltage lower limit of node i, is the upper limit of the reactive power output of the generator at node i, is the lower limit of the reactive power output of the generator at node i.
[0035] In an exemplary embodiment, S1 may be replaced by the following steps.
[0036] S11: Under the constraints, a reactive power optimization model is established based on parameter information of the ultra-high voltage AC / DC hybrid power grid, with the goal of minimizing active power loss and reactive power exchange.
[0037] The reactive power optimization model is:
[0038]
[0039] Among them, F1 is the active power loss of the UHV AC / DC hybrid power grid, F2 is the reactive power exchange, P loss is the active power loss of the power grid, ΔU i The voltage at node i exceeds the limit, The reactive power output of generator k exceeds the limit, N gen is the number of generators, λ and μ are the over-limit penalty coefficients, q i is the reactive exchange amount at node i, e k is the capacity of the low-voltage reactor of the power grid, e o is the capacitor capacity, qmax It is the maximum reactive exchange amount among all nodes in the power grid.
[0040] In practical applications, the active power loss P loss It can be expressed as:
[0041]
[0042] in, is the active network loss on the AC side, is the active network loss on the DC side, U j is the node voltage at node j, N bran，ac is the number of AC lines, N bran，dc is the number of DC lines, I d,h is the current of the hth DC line, R d,h is the equivalent resistance of the hth DC line.
[0043] In an exemplary embodiment, S2 may be replaced by the following steps.
[0044] S21: Using a CPLEX solver to solve the reactive power optimization model, and determining the reactive power output of the reactive power compensation device in the ultra-high voltage AC / DC hybrid power grid.
[0045] In practical applications, parameter information provides key parameters such as equipment capacity and operating limits for reactive power compensation devices. Through the close association between parameters and models, it ensures that reactive power compensation devices can achieve efficient and safe reactive power optimization in UHV AC / DC hybrid power grids.
[0046] In an exemplary embodiment, S3 may be replaced by the following steps.
[0047] S31: Optimize the reactive output by adjusting capacitor switching, transformer ratio and generator reactive output, so that the optimized reactive output satisfies the reactive optimization model. That is, the optimized reactive output satisfies F1 and F2 in the reactive optimization model, and a balanced solution with minimized active power loss and reactive exchange is obtained.
[0048] In an exemplary embodiment, S31 may be replaced by the following steps.
[0049] Reactive output optimization includes the adjustment process of capacitor switching, transformer ratio and generator reactive output.
[0050] The adjustment process of the capacitor switching includes:
[0051] Monitor the reactive power exchange and voltage of each node.
[0052] The current reactive power deficit is calculated according to the reactive power exchange amount and the voltage.
[0053] According to the current reactive power shortage and the upper limit of the reactive power output of the capacitor bank, the capacitor bank to be switched is selected, the switching operation is performed, the parameter information is updated and the constraint conditions are rechecked. and Among them, U i is the generator terminal voltage, is the voltage upper limit of node i, is the voltage lower limit of node i; U g，i is the generator terminal voltage, is the upper limit of the generator terminal voltage, is the lower limit of the generator terminal voltage; Q C，i is the reactive power output of the capacitor bank, is the upper limit of the reactive power output of the capacitor bank, It is the lower limit of the reactive power output of the capacitor bank.
[0054] In practical applications, switching operations are triggered according to the grid status.
[0055] When the voltage at a node is lower than the lower limit or the reactive power shortage exceeds the threshold, the capacitor bank is put into operation; conversely, if the voltage is too high or the reactive power is excessive, some capacitors are removed.
[0056] The adjustment process is as follows:
[0057] Monitor the reactive exchange quantity q of each node i and voltage U i .
[0058] Calculate the current reactive power shortage ΔQ = |q i ∣-(e k +e o )ΔQ=|q i ∣-(e k +e o );
[0059] According to ΔQ and Select the capacitor bank to be switched.
[0060] Execute switching operations, update parameter information and recheck constraints and To ensure that the voltage complies with the voltage limit and the actual output of the capacitor bank complies with the equipment capacity limit.
[0061] The transformer ratio adjustment process includes:
[0062] Based on the voltage and reactive exchange at the transformer connection node, the optimal transformation ratio is calculated according to the reactive power optimization model.
[0063] Based on the constraint condition T i min ≤T i ≤T i max , and gradually adjust the transformer ratio to the optimal ratio.
[0064] In practical applications, the transformer ratio adjustment process is as follows:
[0065] Get the voltage U at the transformer connection node i and reactive exchange quantity q i .
[0066] According to the reactive power optimization models F1 (minimizing the active power loss of the UHV AC / DC hybrid power grid) and F2 (minimizing the reactive power exchange), the optimal transformation ratio T is calculated. i * .
[0067] Under the constraint condition T i min ≤T i ≤T i max Within, gradually adjust the ratio to T i * .
[0068] Monitor voltage changes in real time to prevent voltage from exceeding the limit during adjustment.
[0069] The generator reactive output adjustment process specifically includes:
[0070] According to the current reactive power shortage, the reactive power output target value of each generator is allocated.
[0071] Based on the reactive output target value, the generator closest to the load center is called first, and based on the upper limit of the reactive output of the generator at node i, the penalty item is started, the adjustment process of the capacitor switching or the adjustment process of the transformer ratio is linked, and the excitation system is dynamically adjusted to ensure that the generator terminal voltage is within the allowable range, so that the optimized reactive output satisfies the reactive optimization model.
[0072] In practical applications, the reactive power output regulation process of the generator is as follows:
[0073] According to the overall reactive power shortage of the power grid, the reactive power output target value of each generator is allocated.
[0074] Prioritize the use of generators close to the load center to reduce reactive power transmission losses.
[0075] If the reactive power output of the generator exceeds the limit (such as ), start the penalty item Parallel capacitor or transformer regulation.
[0076] Dynamically adjust the excitation system to ensure the generator terminal voltage U g，i Within the permitted range.
[0077] Based on the same inventive concept, the embodiment of the present application also provides a UHV AC / DC hybrid power grid reactive power optimization device for implementing the UHV AC / DC hybrid power grid reactive power optimization method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more UHV AC / DC hybrid power grid reactive power optimization device embodiments provided below can refer to the limitations of the UHV AC / DC hybrid power grid reactive power optimization method above, and will not be repeated here.
[0078] In an exemplary embodiment, Figure 3 As shown, a reactive power optimization device for a UHV AC / DC hybrid power grid is provided, comprising:
[0079] The reactive power optimization model establishment module 1 is used to establish a reactive power optimization model with the goal of minimizing active power loss and reactive power exchange according to parameter information of the ultra-high voltage AC / DC hybrid power grid.
[0080] The solution module 2 is used to solve the reactive power optimization model and determine the reactive power output of the reactive power compensation device in the ultra-high voltage AC / DC hybrid power grid.
[0081] The reactive power optimization module 3 is used to optimize the reactive power output so that the optimized reactive power output satisfies the reactive power optimization model.
[0082] In an exemplary embodiment, a computer device is provided, such as Figure 4As shown, the computer device can be a server or a terminal. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store reactive power optimization data of an ultra-high voltage AC / DC hybrid power grid. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a reactive power optimization method for an ultra-high voltage AC / DC hybrid power grid is implemented.
[0083] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the above method is implemented when the processor executes the computer program.
[0084] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and the computer program implements the above method when executed by a processor.
[0085] In an exemplary embodiment, a computer program product is provided, including a computer program, which implements the above method when executed by a processor.
[0086] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ReadOnlyMemory, ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (Magnetoresistive RandomAccess Memory, MRAM), ferroelectric random access memory (Ferroelectric RandomAccess Memory, FRAM), phase change memory (Phase Change Memory, PCM), graphene memory, etc. Volatile memory can include random access memory (RandomAccess Memory, RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).
[0087] In this application, all actions to obtain signals, information or data are carried out in compliance with the relevant data protection laws and policies of the country where they are located and with the authorization given by the owner of the corresponding device.
[0088] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.
[0089] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0090] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.
Claims
1. A method for optimizing reactive power in a UHV AC / DC hybrid power grid, characterized in that: The reactive power optimization method of the ultra-high voltage AC / DC hybrid power grid comprises: According to the parameter information of the UHV AC / DC hybrid power grid, a reactive power optimization model is established with the goal of minimizing active power loss and reactive power exchange. Solving the reactive power optimization model to determine the reactive power output of the reactive power compensation device in the ultra-high voltage AC / DC hybrid power grid; The reactive power output is optimized so that the optimized reactive power output satisfies the reactive power optimization model.
2. The method for optimizing reactive power of a UHV AC / DC hybrid power grid according to claim 1, characterized in that: According to the parameter information of the UHV AC / DC hybrid power grid, a reactive power optimization model with the goal of minimizing active power loss and reactive power exchange is established. Previously, it also included: Construct constraints; The constraints are: T i min ≤T i ≤T i max ; Among them, P g,i is the active output of the generator at node i, P L,i is the active load at node i, P D,i is the active power consumption of the converter station at node i, U i is the generator terminal voltage, N bus is the number of grid nodes, G ij is the conductance between node i and node j, θ ij is the phase angle difference between node i and node j, B ij is the susceptance between nodes i and j, Q g，i is the reactive power output of the generator at node i, Q L，i is the reactive load at node i, Q D，i is the reactive power consumption of the converter station at node i, T i is the transformation ratio of the transformer, T i max is the upper limit of the transformer ratio, T i min is the lower limit of the transformer ratio, Q C，i is the reactive power output of the capacitor bank, is the upper limit of the reactive power output of the capacitor bank, is the lower limit of the reactive power output of the capacitor bank, U g，i is the generator terminal voltage, is the upper limit of the generator terminal voltage, is the lower limit of the generator terminal voltage, is the voltage upper limit of node i, is the voltage lower limit of node i, is the upper limit of the reactive power output of the generator at node i, is the lower limit of the reactive power output of the generator at node i.
3. The method for optimizing reactive power of a UHV AC / DC hybrid power grid according to claim 2, characterized in that: According to the parameter information of the UHV AC / DC hybrid power grid, a reactive power optimization model is established with the goal of minimizing active power loss and reactive power exchange, including: Under the constraints, a reactive power optimization model is established based on parameter information of the ultra-high voltage AC / DC hybrid power grid with the goal of minimizing active power loss and reactive power exchange; The reactive power optimization model is: Among them, F1 is the active power loss of the UHV AC / DC hybrid power grid, F2 is the reactive power exchange, P loss is the active power loss of the power grid, ΔU i The voltage at node i exceeds the limit, The reactive power output of generator k exceeds the limit, N gen is the number of generators, λ and μ are the over-limit penalty coefficients, q i is the reactive exchange amount at node i, e k is the capacity of the low-voltage reactor of the power grid, e o is the capacitor capacity, q max It is the maximum reactive exchange amount among all nodes in the power grid.
4. The method for optimizing reactive power of a UHV AC / DC hybrid power grid according to claim 1, characterized in that: Solving the reactive power optimization model to determine the reactive power output of the reactive power compensation device in the ultra-high voltage AC / DC hybrid power grid specifically includes: The reactive power optimization model is solved by using a CPLEX solver to determine the reactive power output of the reactive power compensation device in the ultra-high voltage AC / DC hybrid power grid.
5. The method for optimizing reactive power of a UHV AC / DC hybrid power grid according to claim 1, characterized in that: Optimizing the reactive power output so that the optimized reactive power output satisfies the reactive power optimization model specifically includes: The reactive output is optimized by adjusting capacitor switching, transformer ratio and generator reactive output, so that the optimized reactive output satisfies the reactive optimization model.
6. The method for reactive power optimization of a UHV AC / DC hybrid power grid according to claim 5, characterized in that: The reactive output is optimized by adjusting the capacitor switching, the transformer ratio and the reactive output of the generator, so that the optimized reactive output satisfies the reactive optimization model, specifically including: the adjustment process of the capacitor switching, the adjustment process of the transformer ratio and the adjustment process of the reactive output of the generator; The capacitor switching adjustment process includes: Monitor the reactive exchange and voltage of each node; Calculate the current reactive power deficit according to the reactive power exchange amount and the voltage; According to the current reactive power shortage and the upper limit of the reactive power output of the capacitor bank, the capacitor bank to be switched is selected, the switching operation is performed, the parameter information is updated and the constraint conditions are rechecked. and Among them, U i is the generator terminal voltage, is the voltage upper limit of node i, is the voltage lower limit of node i; U g，i is the generator terminal voltage, is the upper limit of the generator terminal voltage, is the lower limit of the generator terminal voltage; Q C，i is the reactive power output of the capacitor bank, is the upper limit of the reactive power output of the capacitor bank, It is the lower limit of reactive power output of capacitor bank; The transformer ratio adjustment process includes: Based on the voltage and reactive exchange at the transformer connection node, the optimal transformation ratio is calculated according to the reactive power optimization model; Based on the constraint condition T i min ≤T i ≤T i max , gradually adjust the transformer ratio to the optimal ratio; where T i is the transformation ratio of the transformer, T i max is the upper limit of the transformer ratio, T i min is the lower limit of the transformer ratio; The generator reactive output adjustment process specifically includes: Allocating reactive power output target values of each generator according to the current reactive power shortage; Based on the reactive output target value, the generator closest to the load center is called first, and based on the upper limit of the reactive output of the generator at node i, the penalty item is started, the adjustment process of the capacitor switching or the adjustment process of the transformer ratio is linked, and the excitation system is dynamically adjusted to ensure that the generator terminal voltage is within the allowable range, so that the optimized reactive output satisfies the reactive optimization model.
7. A reactive power optimization device for a UHV AC / DC hybrid power grid, characterized in that: The ultra-high voltage AC / DC hybrid power grid reactive power optimization device comprises: A reactive power optimization model building module is used to build a reactive power optimization model with the goal of minimizing active power loss and reactive power exchange according to the parameter information of the UHV AC / DC hybrid power grid; A solution module, used for solving the reactive power optimization model to determine the reactive power output of the reactive power compensation device in the UHV AC / DC hybrid power grid; The reactive power optimization module is used to optimize the reactive power output so that the optimized reactive power output satisfies the reactive power optimization model.
8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the reactive power optimization method for an ultra-high voltage AC / DC hybrid power grid according to any one of claims 1 to 6.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the reactive power optimization method for a UHV AC / DC hybrid power grid described in any one of claims 1 to 6 is implemented.
10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the reactive power optimization method for a UHV AC / DC hybrid power grid described in any one of claims 1 to 6 is implemented.