Reactive power flow dynamic control method and device and electronic equipment

Abstract

The invention discloses a reactive power flow dynamic control method and device and electronic equipment. The method comprises the following steps: acquiring historical measurement data of a target parameter; the historical measurement data is sorted based on a time sequence; calculating a mean value of each target parameter based on the historical measurement data; based on the mean value of each target parameter, calculating the adjustment amount required by the reactive power transmitted by the AC / DC hybrid channel at the next moment; and adjusting the reactive power of the AC-DC hybrid channel based on the adjustment amount. According to the method, the adjustment amount required by the reactive power transmitted by the AC-DC hybrid channel at the next moment can be calculated, and the reactive power flow of the AC-DC hybrid channel is adjusted in real time, so that the voltage fluctuation is quickly balanced, and the use efficiency of regulation and control resources is optimized.

Description

Technical Field

[0001] This application relates to the field of power system technology, and in particular to a method, apparatus and electronic device for dynamic control of reactive power flow. Background Technology

[0002] With the continuous increase in the penetration rate of high-proportion renewable energy sources, such as wind power and photovoltaics, in the power system, the operation structure of the power grid is undergoing fundamental changes. The intermittent, fluctuating, and random nature of renewable energy output has led to increasingly complex dynamic characteristics of power balance between the source and load sides of the system, making it difficult for traditional rigid control systems based on synchronous generators to adapt. System frequency and voltage stability issues have become key bottlenecks restricting the absorption of new energy.

[0003] As a crucial carrier supporting the optimized allocation of energy resources across regions, the safe and stable operation of AC / DC hybrid transmission channels is of paramount importance. However, rapid power modulation in DC systems drastically alters the reactive power flow distribution of AC networks, while voltage stability of the AC bus is fundamental to reliable commutation in DC systems; the two are closely coupled. Therefore, voltage stability of AC / DC hybrid transmission channels has become one of the core factors affecting the security of large power grids. Consequently, achieving precise matching between the system's reactive power demand and support capacity through intelligent coordinated control strategies, while rapidly mitigating voltage fluctuations and optimizing resource utilization efficiency, thus enabling dynamic reactive power flow control that responds in real-time to changes in system status, has become a pressing technical challenge. Summary of the Invention

[0004] This disclosure provides a method, apparatus, device, and storage medium for dynamic control of reactive power flow, in order to at least solve the above-mentioned technical problems existing in the prior art.

[0005] According to a first aspect of this application, a dynamic reactive power flow control method is provided, comprising:

[0006] Obtain historical measurement data of the target parameters; the historical measurement data is sorted in chronological order.

[0007] Based on the historical measurement data, the mean value of each target parameter is calculated;

[0008] Based on the mean of each target parameter, calculate the adjustment amount required for the reactive power transmitted in the AC / DC hybrid channel at the next moment;

[0009] Based on the aforementioned adjustment amount, adjust the reactive power of the AC / DC hybrid channel.

[0010] In one possible implementation, the target parameter includes:

[0011] The total power transmission capacity of the AC / DC hybrid power supply channel, the maximum voltage deviation of each node in the 750kV power grid, the maximum phase angle deviation of each node in the 750kV power grid, the total output of the dynamic reactive power compensation equipment of the AC / DC hybrid power supply channel, and the total reactive load sent out by the AC / DC hybrid power supply channel.

[0012] In one possible implementation, acquiring historical measurement data of the target parameter includes:

[0013] Based on fixed time intervals, the total power transmission of the AC / DC hybrid channel, the maximum voltage deviation of each node in the 750kV power grid, the maximum voltage phase angle deviation of each node in the 750kV power grid, the total output of the dynamic reactive power compensation equipment of the AC / DC hybrid channel, and the total reactive load sent out by the AC / DC hybrid channel are measured to obtain historical measurement data of the target parameters sorted in time sequence.

[0014] In one possible implementation, calculating the mean of each target parameter based on the historical measurement data includes:

[0015] The historical measurement data for each target parameter are normalized to obtain the normalized values ​​of the corresponding target parameter at different times.

[0016] For each target parameter, calculate the arithmetic mean of the normalized values ​​at all historical moments;

[0017] The arithmetic mean is used as the mean of the target parameter.

[0018] In one possible implementation, calculating the required adjustment amount for the reactive power transmitted in the AC / DC hybrid channel at the next moment based on the average of each target parameter includes:

[0019] The mean value is input into the pre-built intelligent decision-making model to obtain the adjustment amount required for the reactive power transmitted in the AC / DC hybrid channel at the next moment;

[0020] The intelligent decision-making model is equipped with pre-trained fixed parameters, including: a voltage stability risk weight matrix, a data fusion weight matrix, a voltage change state cumulative weight matrix, and a reactive power flow adjustment weight matrix, as well as voltage stability risk correction, data fusion correction, voltage change state cumulative correction, and reactive power flow adjustment correction.

[0021] In one possible implementation, inputting the mean value into a pre-built intelligent decision-making model to obtain the required adjustment amount for the reactive power transmitted through the AC / DC hybrid channel at the next moment includes:

[0022] The voltage stability risk value is calculated based on the voltage stability risk weight matrix, the voltage stability risk correction amount, the mean of each target parameter, and the stability characteristic state at the previous moment; the voltage stability risk value is used to filter out irrelevant information about voltage change states and obtain the mean of each target parameter after filtering.

[0023] The data fusion output value is calculated based on the data fusion weight matrix, the data fusion correction amount, the mean of each target parameter, and the stable characteristic state of the previous time step; the data fusion output value is used to write the proportion in the voltage change state accumulation;

[0024] The cumulative candidate voltage change state is calculated based on the cumulative weight matrix of the voltage change state, the cumulative correction amount of the voltage change state, the mean of each target parameter after screening, and the stable characteristic state of the previous time step.

[0025] Based on the data fusion output value, the cumulative candidate voltage change state, and the stable characteristic state of the previous moment, the current stable characteristic state is calculated.

[0026] The reactive power adjustment is calculated based on the reactive power flow adjustment weight matrix, the reactive power flow adjustment correction, and the current stable characteristic state.

[0027] In one possible implementation, the stable characteristic state of the previous time step is initialized as a zero vector.

[0028] In one possible implementation, adjusting the reactive power of the AC / DC hybrid channel based on the adjustment amount includes:

[0029] If the adjustment amount is greater than or equal to zero, then increase the output of the reactive power compensation equipment;

[0030] If the adjustment amount is less than zero, then the output of the reactive power compensation equipment is reduced.

[0031] According to a second aspect of this application, an electronic device is provided, comprising:

[0032] The data acquisition module is used to acquire historical measurement data of the target parameters; the historical measurement data is sorted in chronological order.

[0033] The first calculation module is used to calculate the mean value of each target parameter based on the historical measurement data;

[0034] The second calculation module is used to calculate the adjustment amount required for the reactive power transmitted in the AC / DC hybrid channel at the next moment based on the mean of each target parameter.

[0035] The power adjustment module is used to adjust the reactive power of the AC / DC hybrid channel based on the adjustment amount.

[0036] According to a third aspect of this application, an electronic device is provided, comprising:

[0037] At least one processor; and

[0038] A memory communicatively connected to the at least one processor; wherein,

[0039] The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method described in this application.

[0040] According to a fourth aspect of this application, a non-transitory computer-readable storage medium is provided storing computer instructions for causing the computer to perform the methods described in this application.

[0041] According to a fifth aspect of this application, a computer program product is provided, comprising a computer program or instructions that, when executed by a processor, implement the method described in this application.

[0042] Using the technical solution of this application, the required adjustment amount of reactive power transmitted in the AC / DC hybrid channel at the next moment can be calculated, and the reactive power flow of the AC / DC hybrid channel can be adjusted in real time. By adjusting the output of the reactive power compensation equipment, voltage fluctuations can be quickly quelled, and the efficiency of the control resources can be optimized.

[0043] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0044] The above and other objects, features, and advantages of exemplary embodiments of this application will become readily apparent from the following detailed description taken in conjunction with the accompanying drawings. Several embodiments of this application are illustrated in the drawings by way of example and not limitation, in which:

[0045] In the accompanying drawings, the same or corresponding reference numerals indicate the same or corresponding parts.

[0046] Figure 1 A flowchart illustrating the reactive power flow dynamic control method in an embodiment of this application is shown.

[0047] Figure 2 This paper shows an implementation block diagram of the reactive power flow dynamic control device in an embodiment of this application;

[0048] Figure 3 A schematic diagram of the composition structure of the electronic device in an embodiment of this application is shown. Detailed Implementation

[0049] To make the objectives, features, and advantages of this application more apparent and understandable, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0050] In the following description, the terms "first" and "second" are used merely to distinguish similar objects and do not represent a specific ordering of objects. It is understood that "first" and "second" may be interchanged in a specific order or sequence where permitted, so that the embodiments of this application described herein can be implemented in an order other than that illustrated or described herein.

[0051] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0052] The following description, in conjunction with the accompanying drawings, introduces a dynamic reactive power flow control method, device, and electronic equipment provided in this application.

[0053] like Figure 1 As shown, this application provides a dynamic reactive power flow control method, including:

[0054] S101, Obtain historical measurement data of the target parameter; the historical measurement data is sorted based on time sequence.

[0055] In this application, the target parameters include:

[0056] The total power transmission capacity of the AC / DC hybrid power supply channel, the maximum voltage deviation of each node in the 750kV power grid, the maximum phase angle deviation of each node in the 750kV power grid, the total output of the dynamic reactive power compensation equipment of the AC / DC hybrid power supply channel, and the total reactive load sent out by the AC / DC hybrid power supply channel.

[0057] In some embodiments, obtaining historical measurement data of the target parameter includes:

[0058] Based on fixed time intervals, the total power transmission of the AC / DC hybrid channel, the maximum voltage deviation of each node in the 750kV power grid, the maximum voltage phase angle deviation of each node in the 750kV power grid, the total output of the dynamic reactive power compensation equipment of the AC / DC hybrid channel, and the total reactive load sent out by the AC / DC hybrid channel are measured to obtain historical measurement data of the target parameters sorted in time sequence.

[0059] For example, the application selected A fixed time interval , obtained through measurement Total AC / DC hybrid power supply output at any given time Maximum voltage deviation at each node in a 750kV power grid Maximum voltage phase angle deviation at each node in a 750kV power grid Total output of AC / DC hybrid channel dynamic reactive power compensation equipment AC / DC hybrid transmission channel delivers total reactive load .

[0060] The obtained historical measurement data, sorted chronologically, are as follows:

[0061]

[0062] As an example, the fixed time interval for measurement in this application is one week, and four measurement times are selected, namely... In this application, These are four fixed time intervals. At each of the fixed time intervals... The measured value of the total transmitted power of the AC / DC hybrid power supply channel was obtained. Measured values ​​of the maximum voltage deviation at each node in a 750kV power grid Measured values ​​of the maximum phase angle deviation of voltage at each node in a 750kV power grid Measurement value of total output of AC / DC hybrid channel dynamic reactive power compensation equipment Measurement of total reactive load sent out by the AC / DC hybrid transmission channel .

[0063] Then, based on all the obtained measurements, a time series of target parameters for the reactive power flow dynamic control capability of AC / DC hybrid channel voltage stability is established.

[0064]

[0065] S102, Based on the historical measurement data, calculate the mean value of each target parameter.

[0066] In some embodiments, calculating the mean of each target parameter based on the historical measurement data includes:

[0067] The historical measurement data for each target parameter are normalized to obtain the normalized values ​​of the corresponding target parameter at different times.

[0068] For each target parameter, calculate the arithmetic mean of the normalized values ​​at all historical moments;

[0069] The arithmetic mean is used as the mean of the target parameter.

[0070] In this application, the target parameters for dynamic control of reactive power flow in AC / DC hybrid channel voltage stability are normalized to obtain normalized values ​​of the target parameters for dynamic control of reactive power flow in AC / DC hybrid channel voltage stability.

[0071] The historical measurement data for each target parameter are normalized using the following method:

[0072]

[0073] in, for Normalized value of the total power transmission power of the AC / DC hybrid power supply at any given moment; for Normalized values ​​of the maximum voltage deviation measurements at each node in a 750kV power grid at any given time; for Normalized values ​​of the maximum deviation of voltage phase angle at each node in a 750kV power grid at any given time; for Normalized value of the total output measurement of the dynamic reactive power compensation equipment in the AC / DC hybrid channel at any time; for The normalized value of the total reactive load measurement sent out by the AC / DC hybrid channel at any given time; They are respectively The maximum and minimum total power output of the AC / DC hybrid power supply at any given time; They are respectively The maximum and minimum values ​​of the maximum voltage deviation at each node in the 750kV power grid at any given time; They are respectively The maximum and minimum values ​​of the maximum phase angle deviation of voltage at each node in the 750kV power grid at any given time; They are respectively The maximum and minimum total output of the dynamic reactive power compensation equipment in the AC / DC hybrid channel at all times; They are respectively The maximum and minimum values ​​of the total reactive load delivered by the AC / DC hybrid channel at any given time.

[0074] For example, for The target parameters for reactive power flow dynamic control capability, which determine the voltage stability of the AC / DC hybrid channel at all times, are normalized as follows.

[0075]

[0076] Then, the normalized values ​​of the target parameters for reactive power flow dynamic control of AC / DC hybrid channel voltage stability are averaged to obtain the average value of the normalized values ​​of the target parameters for reactive power flow dynamic control capability of AC / DC hybrid channel voltage stability.

[0077] Specifically, the normalized values ​​of the target parameters are averaged using the following method:

[0078]

[0079] in, for The mean of the normalized total power output of the AC / DC hybrid power supply at any given moment; for The mean of the normalized maximum voltage deviation at each node in a 750kV power grid at a given time. for The mean of the normalized maximum deviation of voltage phase angle at each node in a 750kV power grid at a given time. for The mean of the normalized total output of the dynamic reactive power compensation equipment in the AC / DC hybrid channel at any given time; for The mean of the normalized total reactive load delivered by the AC / DC hybrid channel at any given time.

[0080] For example, for The normalized values ​​of the reactive power flow dynamic control parameters related to the voltage stability of the AC / DC hybrid channel at all times are averaged.

[0081]

[0082] S103, based on the average of each target parameter, calculate the adjustment amount required for the reactive power transmitted in the AC / DC hybrid channel at the next moment.

[0083] In some embodiments, calculating the required adjustment amount for the reactive power transmitted in the AC / DC hybrid channel at the next moment based on the mean of each target parameter includes:

[0084] The mean value is input into the pre-built intelligent decision-making model to obtain the adjustment amount required for the reactive power transmitted in the AC / DC hybrid channel at the next moment;

[0085] The intelligent decision-making model is equipped with pre-trained fixed parameters, including: a voltage stability risk weight matrix, a data fusion weight matrix, a voltage change state cumulative weight matrix, and a reactive power flow adjustment weight matrix, as well as voltage stability risk correction, data fusion correction, voltage change state cumulative correction, and reactive power flow adjustment correction.

[0086] Specifically, in this application, the fixed parameters in the intelligent decision-making model are obtained through training based on historical measurement data. These fixed parameters include the voltage stability risk weight matrix. Data fusion weight matrix Accumulated weight matrix of voltage change states Reactive power flow adjustment weight matrix Voltage stability risk correction amount Data fusion correction amount Accumulated correction for voltage change status Reactive power flow adjustment correction amount .

[0087] In some embodiments, inputting the mean value into a pre-built intelligent decision-making model to obtain the required adjustment amount for the reactive power transmitted through the AC / DC hybrid channel at the next moment includes:

[0088] The voltage stability risk value is calculated based on the voltage stability risk weight matrix, the voltage stability risk correction amount, the mean of each target parameter, and the stability characteristic state at the previous moment; the voltage stability risk value is used to filter out irrelevant information about voltage change states and obtain the mean of each target parameter after filtering.

[0089] The data fusion output value is calculated based on the data fusion weight matrix, the data fusion correction amount, the mean of each target parameter, and the stable characteristic state of the previous time step; the data fusion output value is used to write the proportion in the voltage change state accumulation;

[0090] The cumulative candidate voltage change state is calculated based on the cumulative weight matrix of the voltage change state, the cumulative correction amount of the voltage change state, the mean of each target parameter after screening, and the stable characteristic state of the previous time step.

[0091] Based on the data fusion output value, the cumulative candidate voltage change state, and the stable characteristic state of the previous moment, the current stable characteristic state is calculated.

[0092] The reactive power adjustment is calculated based on the reactive power flow adjustment weight matrix, the reactive power flow adjustment correction, and the current stable characteristic state.

[0093] The stable feature state of the previous time step is initialized as a zero vector.

[0094] Specifically, in this application, the normalized mean is input into the intelligent decision-making model. First, the voltage stability risk value is calculated using the voltage stability risk weight matrix, the voltage stability risk correction amount, the mean of each target parameter, and the stability characteristic state of the previous time step.

[0095]

[0096]

[0097] in, This is the voltage stability risk value, used to filter out irrelevant information about voltage change states. After filtering out irrelevant information, the mean value of each target parameter after filtering is obtained. For activation functions; This represents the stable characteristic state of the previous moment; Element-wise multiplication; This represents the mean of each target parameter.

[0098] Then, the data fusion output value is calculated using the data fusion weight matrix, the data fusion correction amount, the mean of each target parameter, and the stable characteristic state of the previous time step.

[0099]

[0100] in, This is the output value of the data fusion, used to write the proportion in the accumulated voltage change state.

[0101] The candidate voltage change state accumulation is calculated using the following method, based on the cumulative weight matrix of the voltage change state, the cumulative correction amount of the voltage change state, the mean of each selected target parameter, and the stable characteristic state of the previous time step.

[0102]

[0103] in, Accumulate candidate voltage change states.

[0104] The current stable characteristic state is calculated using the following method, based on the data fusion output value, the accumulated candidate voltage change states, and the stable characteristic state of the previous time step.

[0105]

[0106] in, This represents the current stable characteristic state. This represents the stable characteristic state of the previous moment.

[0107] The reactive power adjustment is calculated based on the data fusion output value, the reactive power flow adjustment weight matrix, the reactive power flow adjustment correction amount, and the current stable characteristic state, using the following method.

[0108]

[0109] in, The amount of adjustment required for the reactive power transmitted in the AC / DC hybrid channel at the next moment; For activation functions;

[0110] S104, Based on the adjustment amount, adjust the reactive power of the AC / DC hybrid channel.

[0111] In some embodiments, adjusting the reactive power of the AC / DC hybrid channel based on the adjustment amount includes:

[0112] If the adjustment amount is greater than or equal to zero, then increase the output of the reactive power compensation equipment;

[0113] If the adjustment amount is less than zero, then the output of the reactive power compensation equipment is reduced.

[0114] Specifically, the adjustment required at the next moment when the reactive power transmitted through the AC / DC hybrid channel is obtained. A value greater than 0 indicates that the output of the reactive power compensation equipment should be increased at this time. A value less than 0 indicates that the output of the reactive power compensation equipment should be reduced at this time.

[0115] The reactive power flow dynamic control method provided in this application monitors in real time the total power transmitted by the AC / DC hybrid power supply channel, the maximum voltage deviation at each node in the 750kV power grid, the maximum phase angle deviation of the voltage at each node in the 750kV power grid, the total output of the dynamic reactive power compensation equipment in the AC / DC hybrid channel, and the total reactive load sent out by the AC / DC hybrid channel. The obtained monitoring parameters are normalized to obtain normalized values ​​of the target parameters for the reactive power flow dynamic control capability of the AC / DC hybrid channel's voltage stability. The normalized values ​​of the target parameters for the reactive power flow dynamic control of the AC / DC hybrid channel's voltage stability are then averaged. The average value of the normalized target parameters for the reactive power flow dynamic control of the AC / DC hybrid channel's voltage stability is input into an intelligent decision-making model to obtain the required adjustment amount for the reactive power transmitted by the AC / DC hybrid channel at the next moment. Based on the output results, the reactive power flow of the AC / DC hybrid channel is adjusted in real time.

[0116] The method provided in this application can accurately determine the reactive power flow dynamic control capability of the AC / DC hybrid channel voltage stability at the next moment, and can ensure the optimized operation of the AC / DC hybrid channel reactive power flow.

[0117] As a specific embodiment, this application, upon obtaining... After averaging at time points, we obtain Specifically, the adjustment required for the next moment in calculating the reactive power transmitted through the AC / DC hybrid channel is as follows:

[0118] Voltage stability risk weight matrix Data fusion weight matrix Accumulated weight matrix of voltage change states Reactive power flow adjustment weight matrix Perform initialization processing;

[0119] Correction for voltage stability risk Data fusion correction amount Accumulated correction for voltage change status Reactive power flow adjustment correction amount Perform initialization processing.

[0120] Calculate the voltage stability risk value, i.e., the reset gate of the intelligent decision-making model.

[0121]

[0122] The calculation of the data fusion output value, i.e., the update gate of the intelligent decision-making model,

[0123]

[0124] The cumulative candidate voltage change states are calculated based on the cumulative weight matrix of the voltage change states, the cumulative correction amount of the voltage change states, the mean of each selected target parameter, and the stable characteristic state of the previous time step.

[0125]

[0126] Based on the data fusion output value, the accumulated candidate voltage change states, and the stable characteristic state of the previous time step, the current stable characteristic state is calculated.

[0127]

[0128] Finally, the reactive power adjustment amount is calculated based on the reactive power flow adjustment weight matrix, the reactive power flow adjustment correction amount, and the current stable characteristic state.

[0129]

[0130] Stable characteristic state at the previous moment With the current stable characteristic state This corresponds to the update process of the hidden state in the intelligent decision-making model. Finally, the input adjustment is calculated based on the current state.

[0131] When obtained Adjustment required for reactive power transmission in AC / DC hybrid channels A value greater than 0 indicates that the output of the reactive power compensation equipment should be increased at this time. A value less than 0 indicates that the output of the reactive power compensation equipment should be reduced at this time.

[0132] like Figure 2 As shown, this application provides a reactive power flow dynamic control device, comprising:

[0133] The data acquisition module 201 is used to acquire historical measurement data of the target parameter; the historical measurement data is sorted based on time sequence.

[0134] The first calculation module 202 is used to calculate the mean value of each target parameter based on the historical measurement data;

[0135] The second calculation module 203 is used to calculate the adjustment amount required for the reactive power transmitted in the AC / DC hybrid channel at the next moment based on the average value of each target parameter.

[0136] The power adjustment module 204 is used to adjust the reactive power of the AC / DC hybrid channel based on the adjustment amount.

[0137] The reactive power flow dynamic control device provided in this application includes a data acquisition module 201 that acquires historical measurement data of target parameters; the historical measurement data is sorted in chronological order; a first calculation module 202 calculates the average value of each target parameter based on the historical measurement data; a second calculation module 203 calculates the adjustment amount required for the reactive power transmitted in the AC / DC hybrid channel at the next moment based on the average value of each target parameter; and a power adjustment module 204 adjusts the reactive power of the AC / DC hybrid channel based on the adjustment amount.

[0138] According to embodiments of this application, this application also provides an electronic device and a readable storage medium.

[0139] The electronic device includes at least one processor and a memory communicatively connected to the at least one processor. The memory stores instructions executable by the at least one processor, which, when executed, enable the at least one processor to perform the dynamic reactive power flow control method described in this application. The computer instructions are used to cause the computer to perform the dynamic reactive power flow control method described in this application.

[0140] This application also provides a computer program product, including a computer program / instructions, which, when executed by a processor, implements the reactive power flow dynamic control method of this application.

[0141] Figure 3A schematic block diagram of an example electronic device 800 that can be used to implement embodiments of this application is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the application described and / or claimed herein.

[0142] like Figure 3 As shown, device 800 includes a computing unit 801, which can perform various appropriate actions and processes based on a computer program stored in read-only memory (ROM) 802 or a computer program loaded from storage unit 808 into random access memory (RAM) 803. RAM 803 may also store various programs and data required for the operation of device 800. The computing unit 801, ROM 802, and RAM 803 are interconnected via bus 804. Input / output (I / O) interface 805 is also connected to bus 804.

[0143] Multiple components in device 800 are connected to I / O interface 805, including: input unit 806, such as keyboard, mouse, etc.; output unit 807, such as various types of monitors, speakers, etc.; storage unit 808, such as disk, optical disk, etc.; and communication unit 809, such as network card, modem, wireless transceiver, etc. Communication unit 809 allows device 800 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0144] The computing unit 801 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 801 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 801 performs the various methods and processes described above, such as the reactive power flow dynamic control method. For example, in some embodiments, the reactive power flow dynamic control method can be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 808. In some embodiments, part or all of the computer program can be loaded and / or installed on device 800 via ROM 802 and / or communication unit 809. When the computer program is loaded into RAM 803 and executed by the computing unit 801, one or more steps of the reactive power flow dynamic control method described above can be performed. Alternatively, in other embodiments, the computing unit 801 can be configured to perform the reactive power flow dynamic control method by any other suitable means (e.g., by means of firmware).

[0145] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0146] The program code used to implement the methods of this application may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing device, such that when executed by the processor or controller, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0147] In the context of this application, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable media can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0148] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0149] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as a data server), or computing systems that include middleware components (e.g., an application server), or computing systems that include frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., a communication network). Examples of communication networks include local area networks (LANs), wide area networks (WANs), and the Internet.

[0150] Computer systems can include clients and servers. Clients and servers are generally located far apart and typically interact via communication networks. Client-server relationships are created by computer programs running on the respective computers and having a client-server relationship with each other. Servers can be cloud servers, servers in distributed systems, or servers incorporating blockchain technology.

[0151] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A dynamic control method of reactive power flow, characterized by, The method comprises the following steps: obtaining historical measurement data of target parameters; the historical measurement data is sorted in time sequence; calculating the mean value of each target parameter based on the historical measurement data; calculating the adjustment amount required for the next moment of the reactive power transmitted by the AC-DC hybrid channel based on the mean value of each target parameter; adjusting the reactive power of the AC-DC hybrid channel based on the adjustment amount.

2. The method of claim 1, wherein, The target parameters include: total power transmission of the AC-DC hybrid channel, maximum deviation of each node voltage in the 750kV power grid, maximum deviation of each node voltage phase angle in the 750kV power grid, total output of dynamic reactive power compensation equipment of the AC-DC hybrid channel, and total reactive power load of the AC-DC hybrid channel.

3. The method of claim 1, wherein, The method for obtaining the historical measurement data of the target parameters comprises the following steps: based on a fixed time interval, measuring the total power transmission of the AC-DC hybrid channel, the maximum deviation of each node voltage in the 750kV power grid, the maximum deviation of each node voltage phase angle in the 750kV power grid, the total output of dynamic reactive power compensation equipment of the AC-DC hybrid channel, and the total reactive power load of the AC-DC hybrid channel, to obtain the historical measurement data of the target parameters sorted in time sequence.

4. The method of claim 1, wherein, The method for calculating the mean value of each target parameter based on the historical measurement data comprises the following steps: normalizing the historical measurement data of each target parameter to obtain the normalized value of the corresponding target parameter at different moments; for each target parameter, calculating the arithmetic mean value of the normalized values at all historical moments; and taking the arithmetic mean value as the mean value of the target parameter.

5. The method of claim 1, wherein, The method for calculating the adjustment amount required for the next moment of the reactive power transmitted by the AC-DC hybrid channel based on the mean value of each target parameter comprises the following steps: inputting the mean value into a pre-constructed intelligent decision model to obtain the adjustment amount required for the next moment of the reactive power transmitted by the AC-DC hybrid channel; wherein the intelligent decision model is provided with pre-trained fixed parameters; the fixed parameters include: voltage stability risk weight matrix, data fusion weight matrix, voltage change state cumulative weight matrix, and reactive power flow adjustment weight matrix, as well as voltage stability risk correction amount, data fusion correction amount, voltage change state cumulative correction amount, and reactive power flow adjustment correction amount.

6. The method of claim 5, wherein, The inputting the mean value into a pre-constructed intelligent decision model to obtain an adjustment amount required for reactive power transmission of the AC-DC hybrid channel at the next moment includes: calculating a voltage stability risk value based on the voltage stability risk weight matrix, the voltage stability risk correction amount, the mean value of each target parameter, and the stable feature state at the last moment; the voltage stability risk value is used to filter out irrelevant information of the voltage change state to obtain the mean value of each target parameter after filtering; calculating a data fusion output value based on the data fusion weight matrix, the data fusion correction amount, the mean value of each target parameter, and the stable feature state at the last moment; the data fusion output value is used to write the proportion in the voltage change state accumulation; calculating a candidate voltage change state accumulation based on the voltage change state accumulation weight matrix, the voltage change state accumulation correction amount, the mean value of each target parameter after filtering, and the stable feature state at the last moment; calculating a current stable feature state based on the data fusion output value, the candidate voltage change state accumulation, and the stable feature state at the last moment; calculating the reactive power adjustment amount based on the reactive power flow adjustment weight matrix, the reactive power flow adjustment correction amount, and the current stable feature state.

7. The method of claim 6, wherein, The initialization of the stable feature state at the last moment is a zero vector.

8. The method of claim 1, wherein, The adjustment of the reactive power of the AC-DC hybrid channel based on the adjustment amount includes: increasing the output of the reactive power compensation device if the adjustment amount is greater than or equal to zero; and decreasing the output of the reactive power compensation device if the adjustment amount is less than zero.

9. A dynamic control device for reactive power flow, characterized by comprising: The method comprises the following steps: The data acquisition module is configured to acquire historical measurement data of target parameters; the historical measurement data is sorted in time sequence; The first calculation module is configured to calculate the mean value of each target parameter based on the historical measurement data; The second calculation module is configured to calculate the adjustment amount required for reactive power transmission of the AC-DC hybrid channel at the next moment based on the mean value of each target parameter; The power adjustment module is configured to adjust the reactive power of the AC-DC hybrid channel based on the adjustment amount.

10. An electronic device, comprising: At least one processor; and a memory connected in communication with the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1 to 8.

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