Method and device for coordinating and setting parameters of reactive power compensation equipment

Abstract

The invention provides a reactive power compensation equipment parameter coordination calibration method and device, and the method comprises the steps: constructing a system frequency domain admittance matrix according to the admittance model of each power electronic equipment, and obtaining a transfer function matrix between disturbance and AC bus voltage according to the system frequency domain admittance matrix; determining the sensitivity of the amplitude of the transfer function matrix to the parameters of the reactive compensation equipment according to the transfer function matrix; and constructing an optimization model according to the sensitivity and the amplitude adjustment target of the transfer function matrix, and solving the setting value of the reactive compensation equipment parameter through the optimization model.

Description

Technical Field

[0001] This application relates to the field of power system operation and control technology, and in particular to a method and device for coordinating and setting parameters of reactive power compensation equipment. Background Technology

[0002] With the large-scale development and utilization of new energy sources such as wind power and photovoltaics, centralized grid connection through collection stations has become the mainstream mode. However, the randomness and volatility of new energy output lead to drastic changes in power flow at collection stations, making reactive power and voltage control difficult and posing a challenge to the safe and stable operation of the system. Configuring fast reactive power compensation equipment such as Static Var Generators (SVG) is an effective means to improve the voltage stability of the system.

[0003] However, the parameter tuning of reactive power compensation equipment is crucial. Improper parameter configuration can not only fail to fully utilize its voltage support capability but may even trigger system oscillations. Existing parameter tuning methods, such as those based on power flow sensitivity analysis, have significant limitations: First, these methods rely on quasi-steady-state models, reflecting only the slow dynamic characteristics of the system and failing to accurately analyze the dynamic response process of the system under disturbances (such as fluctuations in renewable energy power); second, existing methods typically perform independent tuning for individual devices, making it difficult to handle the mutual influence between multiple reactive power compensation devices and achieve global collaborative optimization of parameters. This results in conservative or locally optimal tuning results, failing to maximize the voltage support efficiency of the reactive power compensation equipment group.

[0004] Therefore, there is an urgent need in this field for an efficient tuning method that can accurately quantify dynamic voltage support capability and simultaneously and collaboratively optimize the parameters of multiple reactive power compensation devices. Summary of the Invention

[0005] The purpose of this application is to provide a method and apparatus for coordinating and tuning parameters of reactive power compensation equipment. It is required to quantify the changes in the voltage support capability of reactive power compensation equipment caused by parameter changes, and to have the ability to simultaneously solve the parameters of multiple reactive power compensation equipment, thereby achieving optimal parameter tuning, giving full play to the supporting role of reactive power compensation equipment in system voltage, and thus ensuring the safe and stable operation of the system.

[0006] To achieve the above objectives, the reactive power compensation equipment parameter coordination and tuning method provided in this application specifically includes: constructing a system frequency domain admittance matrix based on the admittance model of each power electronic device; obtaining the transfer function matrix between the disturbance and the AC bus voltage based on the system frequency domain admittance matrix; determining the sensitivity of the amplitude of the transfer function matrix to the reactive power compensation equipment parameters based on the transfer function matrix; constructing an optimization model based on the sensitivity and the amplitude adjustment target of the transfer function matrix; and solving for the tuning values ​​of the reactive power compensation equipment parameters through the optimization model.

[0007] In the above-mentioned method for coordinating and setting parameters of reactive power compensation equipment, optionally, constructing the system frequency domain admittance matrix based on the admittance model of each power electronic device includes: establishing the AC port admittance model of each power electronic device in the dq coordinate system; integrating the AC admittance matrices of all power electronic devices to obtain the total admittance matrix of the equipment; and adding the total admittance matrix of the equipment to the admittance matrix of the AC network to obtain the system frequency domain admittance matrix.

[0008] In the above-mentioned method for coordinating and setting parameters of reactive power compensation equipment, optionally, determining the sensitivity of the amplitude of the transfer function matrix to the parameters of reactive power compensation equipment based on the transfer function matrix includes: selecting a transfer function for a specific disturbance to a specific AC bus voltage based on the transfer function matrix; calculating the average amplitude of the selected transfer function within a preset frequency band of interest; and obtaining the sensitivity based on the partial derivative of the average amplitude with respect to the target parameters of reactive power compensation equipment.

[0009] In the above-mentioned method for coordinating and tuning parameters of reactive power compensation equipment, optionally, the optimization model is a quadratic programming model with linear constraints.

[0010] In the above-mentioned method for coordinating and tuning parameters of reactive power compensation equipment, optionally, the constraints of the optimization model include: after parameter tuning, the amplitude of the transfer function matrix is ​​not greater than the amplitude adjustment target; and / or, the relative adjustment amount of any parameter to be tuned does not exceed a preset percentage threshold.

[0011] Optionally, in the above-mentioned method for coordinating and setting parameters of reactive power compensation equipment, the method may further include: obtaining a verification result based on the dynamic response characteristics of the setting value, and re-executing the parameter setting steps based on the comparison result between the verification result and the preset performance index.

[0012] In the above-mentioned method for coordinating and setting parameters of reactive power compensation equipment, optionally, the preset performance indicators include at least one of response speed and overshoot.

[0013] This application also provides a reactive power compensation equipment parameter coordination and tuning device, the device comprising: a construction module, an analysis module, and a tuning module; the construction module is used to construct a system frequency domain admittance matrix based on the admittance model of each power electronic device, and obtain the transfer function matrix between the disturbance and the AC bus voltage based on the system frequency domain admittance matrix; the analysis module is used to determine the sensitivity of the amplitude of the transfer function matrix to the reactive power compensation equipment parameters based on the transfer function matrix; the tuning module is used to construct an optimization model based on the sensitivity and the amplitude adjustment target of the transfer function matrix, and solve for the tuning values ​​of the reactive power compensation equipment parameters through the optimization model.

[0014] This application also provides an electronic 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 the above-described method.

[0015] This application also provides a computer-readable storage medium storing a computer program that performs the above-described methods.

[0016] This application also provides a computer program product, including a computer program / instructions that, when executed by a processor, implement the steps of the above-described method.

[0017] The beneficial technical effects of this application are as follows: it can accurately characterize the dynamic response characteristics of the system under disturbances, overcome the limitations of traditional steady-state sensitivity methods, and significantly improve the accuracy and universality of parameter tuning; at the same time, this application realizes the synchronous and coordinated optimization of parameters of multiple reactive power compensation devices by constructing an optimization model, fully considering the coupling effect between devices, thereby maximizing the overall voltage support efficiency of the reactive power compensation device group; in addition, the tuning process is efficient and reliable, and has a verification step to ensure that the final parameters can meet the dynamic performance requirements of the system, providing key technical support for enhancing the voltage stability of new energy collection stations and ensuring the safe operation of the power grid. Attached Figure Description

[0018] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, do not constitute a limitation thereof. In the drawings:

[0019] Figure 1A This is a flowchart illustrating a method for coordinating and adjusting parameters of reactive power compensation equipment according to an embodiment of this application.

[0020] Figure 1B This is a schematic diagram illustrating the application of the reactive power compensation equipment parameter coordination and tuning method provided in an embodiment of this application.

[0021] Figure 2 This is a schematic diagram of the system frequency domain admittance matrix construction process provided in an embodiment of this application;

[0022] Figure 3 This is a schematic diagram of the sensitivity calculation process provided in an embodiment of this application;

[0023] Figure 4 A schematic diagram of the structure of a reactive power compensation equipment parameter coordination and tuning device provided in an embodiment of this application;

[0024] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0025] The following will describe in detail the implementation methods of this application with reference to the accompanying drawings and embodiments, so as to fully understand how this application uses technical means to solve technical problems and achieve technical effects, and to implement it accordingly. It should be noted that, as long as there is no conflict, the various embodiments and features in each embodiment of this application can be combined with each other, and the resulting technical solutions are all within the protection scope of this application.

[0026] Furthermore, the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0027] Please refer to Figure 1A As shown, the reactive power compensation equipment parameter coordination and tuning method provided in this application specifically includes:

[0028] S101 constructs the system frequency domain admittance matrix based on the admittance model of each power electronic device, and obtains the transfer function matrix between the disturbance and the AC bus voltage based on the system frequency domain admittance matrix;

[0029] Specifically, firstly, the dynamic characteristic parameters of each power electronic device (including but not limited to wind turbines, photovoltaic inverters, and static var generators, SVG) within the new energy collection station are obtained. Based on these parameters, a small-signal admittance model of each device in the dq rotating coordinate system is established. Then, the admittance models of all power electronic devices are integrated to form the overall admittance matrix on the device side. Simultaneously, based on the topology and line parameters of the AC network at the collection station, a network-side admittance matrix is ​​established. Adding the device-side admittance matrix to the network-side admittance matrix yields the frequency domain admittance matrix of the entire system.

[0030] Furthermore, the system's disturbance inputs (e.g., active power fluctuations at renewable energy plants, grid-side voltage dips, etc.) and observed outputs (i.e., the d-axis and q-axis components of the voltage on the critical AC bus) are defined. Based on the system's frequency domain admittance matrix, the transfer function matrix from the disturbance input to the observed voltage output is derived through matrix operations. This transfer function matrix accurately describes the system's dynamic response characteristics to external disturbances in the frequency domain.

[0031] S102 determines the sensitivity of the amplitude of the transfer function matrix to the parameters of the reactive power compensation device based on the transfer function matrix;

[0032] In this step, from the transfer function matrix obtained in step S101, the disturbance channels and observation buses that require special attention are selected, and the corresponding individual transfer functions are extracted. A frequency band of interest related to system stability is set (e.g., a low-frequency oscillation band from 0.1 Hz to 10 Hz). The amplitude of the transfer function at multiple frequency points within this band is calculated, and its average amplitude is obtained. This average amplitude can be used as a quantitative indicator of the strength of the system's voltage support capability.

[0033] Subsequently, the partial derivative of this average amplitude with respect to the control parameters (e.g., the proportional coefficient Kp, integral coefficient Ki, etc.) of the reactive power compensation equipment to be coordinated (such as SVG) is calculated, thus obtaining the sensitivity. This sensitivity clearly reveals the direction and magnitude of the influence of a unit change in a specific parameter on the quantitative index of the system's voltage support capability.

[0034] S103 constructs an optimization model based on the sensitivity and the amplitude adjustment target of the transfer function matrix, and solves for the setpoint values ​​of the reactive power compensation equipment parameters through the optimization model.

[0035] Based on the sensitivity of each parameter calculated in step S102, the expected target value of the voltage support capability quantification index (i.e., amplitude adjustment target) is set. Using this target as the core constraint, and considering the limitations of parameter adjustment range in engineering practice (e.g., the adjustment range of a single parameter does not exceed ±20% of its initial value), a quadratic programming model with linear constraints is constructed with the objective of minimizing the sum of the adjustment amounts of all parameters to be tuned.

[0036] By using a mature quadratic programming solver to solve the model, a set of optimal parameter settings for the reactive power compensation equipment can be obtained. This set of values ​​is the result of collaborative calculation, ensuring that the overall parameter changes are minimized while meeting voltage support requirements, thus guaranteeing the robustness and engineering feasibility of the system.

[0037] Optionally, after obtaining the parameter tuning values, the dynamic performance of the system under the tuning parameters (such as the response speed of voltage recovery, overshoot, etc.) can be verified by means of time-domain simulation or other methods. If the verification results do not meet the preset requirements, the constraints in the optimization model (such as the amplitude adjustment target) can be adjusted, and the tuning process can be re-executed until satisfactory results are obtained.

[0038] Please refer to Figure 2 As shown, in one embodiment of this application, constructing the system frequency domain admittance matrix based on the admittance model of each power electronic device includes:

[0039] S201 establishes the AC port admittance model of each power electronic device in the dq coordinate system;

[0040] Specifically, in this step, for the i-th power electronic device in the new energy collection station, a small-signal admittance model Y of its AC port in the dq coordinate system is established. s,i (s). This model establishes the small-signal variation of the port voltage (s). , ) and the small-signal change in port current ( , The frequency domain relationship between them.

[0041] S202 integrates the AC admittance matrices of all power electronic devices to obtain the total admittance matrix of the device;

[0042] In this step, it is assumed that there are p power electronic devices in the system. The admittance models of all devices established in step S201 are combined into a total admittance matrix Y of the devices in the form of a block diagonal matrix. con (s).

[0043] S203 adds the total admittance matrix of the device to the admittance matrix of the AC network to obtain the frequency domain admittance matrix of the system.

[0044] Specifically, in this step, the admittance matrix Y of the AC network is formed based on the electrical connections within the station. net Finally, the system's frequency domain admittance matrix Y(s) is obtained by adding the device's total admittance matrix and the network admittance matrix, i.e., Y(s) = Y(s). con (s)+Y net (s).

[0045] Please refer to Figure 3 As shown, in one embodiment of this application, determining the sensitivity of the amplitude of the transfer function matrix to the parameters of the reactive power compensation device based on the transfer function matrix includes:

[0046] S301 selects the transfer function from a specific disturbance to a specific AC bus voltage based on the transfer function matrix;

[0047] In conjunction with the aforementioned embodiments, in the current step, the transfer function G(s) from the transfer function matrix G(s) to the bus voltage at the k-th observation point (e.g., the high-voltage side bus of the collecting station) can be selected. kj (s).

[0048] S302 calculates the average amplitude of the selected transfer function within a preset frequency band of interest, and obtains the sensitivity based on the partial derivative of the average amplitude with respect to the parameters of the target reactive power compensation device.

[0049] Specifically, the preset focus frequency band [ω1, ω] can be selected. K Within a given range, select K discrete frequency points. Calculate the transfer function G. kj(s) Amplitude at these frequency points | | and calculate their arithmetic mean as the average amplitude A. kj Finally, calculate the average amplitude A. kj Partial derivatives with respect to the target reactive power compensation equipment parameter α This value is the sensitivity we are looking for.

[0050] To facilitate a clearer understanding of the implementation process of the embodiments provided in this application, please refer to the following. Figure 1B As shown, the above embodiments will be described in their entirety here. Those skilled in the art will understand that these embodiments do not limit this application in any way.

[0051] like Figure 1B As shown, the reactive power compensation equipment parameter coordination and tuning method provided in this application specifically includes:

[0052] Step 1: Establish dq admittance models of power electronic equipment such as reactive power compensation equipment and new energy units in the new energy collection station under different control modes, and integrate them to obtain the system frequency domain admittance matrix Y(s);

[0053] Step 2: Using the active power output of new energy sources and the grid voltage as disturbances, further integrate to obtain the transfer function matrix G(s) between the disturbance quantity and the d-axis and q-axis components of the system AC bus voltage;

[0054] Step 3: Select the disturbance quantity and observation point, and establish the transfer function G between the selected disturbance quantity and the AC bus voltage based on G(s). kj (s), and calculate the transfer function G. kj (s) Amplitude A kj Sensitivity to any parameter α of the reactive power compensation equipment ;

[0055] Step 4: Set the transfer function magnitude A kj The adjustment target is A ref And select m parameters α1~α from the reactive power compensation equipment. m Perform coordination and adjustment;

[0056] Step 5: Adjust target A according to amplitude ref With the selected m parameters, construct an optimization model for parameter tuning aimed at improving voltage support capability;

[0057] Step 6: Solve the optimization model and verify the system response characteristics after parameter tuning. If the response speed, overshoot and other indicators meet the requirements, the parameter tuning is complete; otherwise, re-tune and verify the parameters until the requirements are met.

[0058] Step 1 may further include the following steps:

[0059] 1. Assume the system contains p power electronic devices (including reactive power compensation devices, new energy units, etc.) connected to p AC buses. Establish the voltage u at the AC port of each device. sd,i u sq,i With port current i sd,i i sq,i The relationship between them, namely:

[0060] ;

[0061] In the formula: Δ represents the small signal quantity of the corresponding variable; Y s,i (s) represents the dq admittance model of the AC port of the i-th device; C s,i (s) is the control matrix of the i-th device; d d,i and d q,i Let represent the d-axis control quantity and q-axis control quantity of the i-th device, respectively.

[0062] 2. Establish the AC admittance matrix Y of all power electronic equipment. con (s), whose expression is:

[0063] ;

[0064] 3. Based on the connection relationships of the AC lines in the system, establish the admittance matrix Y of the AC network. net (s);

[0065] 4. According to Y con (s) and Y net (s), establish the frequency domain admittance matrix Y(s)=Y con (s)+Y net (s);

[0066] Step 2 may further include the following steps:

[0067] 1. Let the disturbance transfer matrix be J(s), which is a block diagonal matrix. Assume the i-th power electronic device in the system is connected to the AC grid voltage and the disturbance considered is the grid voltage disturbance, with grid admittance Y. g If J(s), then the i-th element of J(s) is Y. g (s); If the disturbance considered for the k-th device is the control command d d,i d q,i Then the i-th element of J(s) is C. s,i (s), thus obtaining matrix J(s).

[0068] 2. The expression for the transfer function matrix G(s) between the disturbance and the d-axis and q-axis components of the system AC bus voltage is:

[0069]

[0070] Step 3 may further include the following steps:

[0071] 1. Select r disturbances (active power output from new energy sources and grid voltage) and t AC voltage responses from the system that require special attention. Based on the established transfer function matrix G(s), obtain the transfer function relationship G between the j-th disturbance and the d-axis and q-axis responses of the k-th AC bus voltage. d,kj (s), G q,kj (s) (k∈[1,t], j∈[1,r]);

[0072] 2. Based on G d,kj (s) and G q,kj (s), establish the transfer function relationship G between the disturbance and the AC bus voltage. kj (s), whose expression is:

[0073] ;

[0074] In the formula: u sd0,k and u sq0,k These represent the steady-state voltage values ​​of the d-axis and q-axis of the AC bus connected to the k-th power electronic device, respectively.

[0075] 3. Select K points at equal intervals within the frequency band of interest. According to G kj The amplitude and phase characteristics of (s) are obtained at K sampling frequencies, where G is at each sampling point. kj The average magnitude of (s) is expressed as follows:

[0076] ;

[0077] 4. Calculate A kj Sensitivity to any parameter α of the reactive power compensation device Its expression is:

[0078] ;

[0079] Step 5 may include the following steps:

[0080] 1. In the parameter tuning optimization model, the objective function is set to minimize the sum of the relative adjustments of the parameters, and its expression is:

[0081] ;

[0082] 2. One of the constraints in the parameter tuning optimization model is that the voltage support capability meets the adjustment target, and its expression is:

[0083] ;

[0084] 3. Another constraint in the parameter tuning optimization model is that the relative adjustment amount of a single parameter does not exceed the limit, and its expression is:

[0085] ;

[0086] In the formula, the typical value of X% is recommended to be set to 20%.

[0087] 4. Establish an optimization model that includes the objective function and constraints, thereby constructing a quadratic programming problem with linear constraints.

[0088] Step 6 may include the following steps:

[0089] 1. By calling the quadratic programming solver, the parameters α involved in the tuning can be obtained. i The adjustment amount;

[0090] 2. After completing α i After adjusting the parameters, verify the system's response characteristics. If the response speed, overshoot, and other indicators meet the requirements, the parameter tuning is complete; otherwise, re-tuning and verifying the parameters until the requirements are met.

[0091] The parameter coordination and tuning method for reactive power compensation equipment in a new energy collection station that considers voltage support capability disclosed in this application can quantify the changes in the voltage support capability of reactive power compensation equipment caused by parameter changes, and has the ability to simultaneously solve the parameters of multiple reactive power compensation equipment to achieve optimal parameter tuning, thereby ensuring the safe and stable operation of the system.

[0092] Please refer to Figure 4 As shown, this application also provides a reactive power compensation equipment parameter coordination and tuning device, the device comprising: a construction module, an analysis module, and a tuning module;

[0093] The construction module is used to construct a system frequency domain admittance matrix based on the admittance model of each power electronic device, and obtain the transfer function matrix between the disturbance and the AC bus voltage based on the system frequency domain admittance matrix; the analysis module is used to determine the sensitivity of the amplitude of the transfer function matrix to the parameters of the reactive power compensation equipment based on the transfer function matrix; the tuning module is used to construct an optimization model based on the sensitivity and the amplitude adjustment target of the transfer function matrix, and solve for the tuning values ​​of the reactive power compensation equipment parameters through the optimization model.

[0094] In another embodiment, the reactive power compensation equipment parameter coordination and tuning device may further include a verification module (not shown in the figure), which is used to obtain the verification result based on the dynamic response characteristics of the tuning value, and to determine whether to trigger retuning based on the verification result.

[0095] The beneficial technical effects of this application are as follows: it can accurately characterize the dynamic response characteristics of the system under disturbances, overcome the limitations of traditional steady-state sensitivity methods, and significantly improve the accuracy and universality of parameter tuning; at the same time, this application realizes the synchronous and coordinated optimization of parameters of multiple reactive power compensation devices by constructing an optimization model, fully considering the coupling effect between devices, thereby maximizing the overall voltage support efficiency of the reactive power compensation device group; in addition, the tuning process is efficient and reliable, and has a verification step to ensure that the final parameters can meet the dynamic performance requirements of the system, providing key technical support for enhancing the voltage stability of new energy collection stations and ensuring the safe operation of the power grid.

[0096] This application also provides an electronic 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 the above-described method.

[0097] This application also provides a computer-readable storage medium storing a computer program that performs the above-described methods.

[0098] This application also provides a computer program product, including a computer program / instructions that, when executed by a processor, implement the steps of the above-described method.

[0099] like Figure 5 As shown, the electronic device 600 may also include: a communication module 110, an input unit 120, an audio processor 130, a display 160, and a power supply 170. It is worth noting that the electronic device 600 does not necessarily need to include these components. Figure 5 All components shown; in addition, the electronic device 600 may also include Figure 5 For components not shown, please refer to existing technologies.

[0100] like Figure 5 As shown, the central processing unit 100, sometimes also referred to as a controller or operating control, may include a microprocessor or other processor device and / or logic device. The central processing unit 100 receives inputs and controls the operation of various components of the electronic device 600.

[0101] The memory 140 may be, for example, one or more of a cache, flash memory, hard drive, removable media, volatile memory, non-volatile memory, or other suitable devices. It may store the aforementioned failure-related information, and also store a program for executing that information. The central processing unit 100 may execute the program stored in the memory 140 to perform information storage or processing, etc.

[0102] Input unit 120 provides input to central processing unit 100. Input unit 120 may be, for example, a keypad or touch input device. Power supply 170 provides power to electronic device 600. Display 160 displays images and text. Display may be, for example, an LCD display, but is not limited thereto.

[0103] The memory 140 can be a solid-state memory, such as a read-only memory (ROM), random access memory (RAM), a SIM card, etc. It can also be a memory that retains information even when power is off, can be selectively erased, and contains more data; examples of this type of memory are sometimes referred to as EPROMs. The memory 140 can also be some other type of device. The memory 140 includes a buffer memory 141 (sometimes referred to as a buffer). The memory 140 may include an application / function storage unit 142 for storing application programs and function programs or processes for executing the operation of the electronic device 600 via the central processing unit 100.

[0104] The memory 140 may also include a data storage unit (data 143) for storing data, such as contacts, digital data, pictures, sounds, and / or any other data used by the electronic device. The driver storage unit (driver 144) of the memory 140 may include various drivers for the electronic device's communication functions and / or for performing other functions of the electronic device (such as messaging applications, address book applications, etc.).

[0105] The communication module 110 is a transmitter / receiver 110 that transmits and receives signals via antenna 111. The communication module (transmitter / receiver) 110 is coupled to the central processing unit 100 to provide input signals and receive output signals, which can be the same as in a conventional mobile communication terminal.

[0106] Based on different communication technologies, multiple communication modules 110 can be configured in the same electronic device, such as cellular network modules, Bluetooth modules, and / or wireless LAN modules. The communication module (transmitter / receiver) 110 is also coupled to a speaker 131 and a microphone 132 via an audio processor 130 to provide audio output via the speaker 131 and receive audio input from the microphone 132, thereby enabling typical telecommunications functions. The audio processor 130 may include any suitable buffer, decoder, amplifier, etc. Additionally, the audio processor 130 is coupled to a central processing unit 100, enabling on-device recording via the microphone 132 and on-device playback of stored audio via the speaker 131.

[0107] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0108] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in one or more blocks of the flowchart illustrations and / or one or more blocks of the block diagrams.

[0109] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means that implement the functions specified in one or more flowcharts and / or one or more block diagrams.

[0110] These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, such that the instructions, which execute on the computer or other programmable apparatus, provide steps for implementing the functions specified in one or more flowcharts and / or one or more block diagrams.

[0111] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of this application. It should be understood that the above descriptions are merely specific embodiments of this application and are not intended to limit the scope of protection of this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for coordinating and tuning parameters of reactive power compensation equipment, characterized in that, The method includes: The system frequency domain admittance matrix is ​​constructed based on the admittance model of each power electronic device, and the transfer function matrix between the disturbance and the AC bus voltage is obtained based on the system frequency domain admittance matrix. The sensitivity of the amplitude of the transfer function matrix to the parameters of the reactive power compensation device is determined based on the transfer function matrix. An optimization model is constructed based on the sensitivity and the amplitude adjustment target of the transfer function matrix, and the setpoint values ​​of the reactive power compensation equipment parameters are solved through the optimization model.

2. The method for coordinating and tuning parameters of reactive power compensation equipment according to claim 1, characterized in that, The system frequency domain admittance matrix is ​​constructed based on the admittance models of various power electronic devices, including: Establish AC port admittance models for each power electronic device in the dq coordinate system; The total admittance matrix of the equipment is obtained by integrating the AC admittance matrices of all power electronic devices; The system frequency domain admittance matrix is ​​obtained by adding the total admittance matrix of the device to the admittance matrix of the AC network.

3. The method for coordinating and tuning parameters of reactive power compensation equipment according to claim 1, characterized in that, Determining the sensitivity of the magnitude of the transfer function matrix to the parameters of the reactive power compensation device based on the transfer function matrix includes: The transfer function for a specific disturbance to a specific AC bus voltage is selected based on the transfer function matrix. Calculate the average amplitude of the selected transfer function within the preset frequency band of interest, and obtain the sensitivity based on the partial derivative of the average amplitude with respect to the parameters of the target reactive power compensation device.

4. The method for coordinating and tuning parameters of reactive power compensation equipment according to claim 1, characterized in that, The optimization model is a quadratic programming model with linear constraints. The constraints of the optimization model include: after parameter tuning, the magnitude of the transfer function matrix is ​​not greater than the magnitude adjustment target; and / or, the relative adjustment amount of any parameter to be tuned does not exceed a preset percentage threshold.

5. The method for coordinating and setting parameters of reactive power compensation equipment according to claim 1, characterized in that, The method further includes: The verification result is obtained based on the dynamic response characteristics of the set value. The parameter tuning steps are then re-executed based on the comparison between the verification result and the preset performance index.

6. The method for coordinating and tuning parameters of reactive power compensation equipment according to claim 5, characterized in that, The preset performance indicators include at least one of response speed and overshoot.

7. A parameter coordination and tuning device for reactive power compensation equipment, characterized in that, The device includes: a construction module, an analysis module, and a tuning module; The construction module is used to construct the system frequency domain admittance matrix based on the admittance model of each power electronic device, and to obtain the transfer function matrix between the disturbance and the AC bus voltage based on the system frequency domain admittance matrix. The analysis module is used to determine the sensitivity of the magnitude of the transfer function matrix to the parameters of the reactive power compensation device based on the transfer function matrix. The tuning module is used to construct an optimization model based on the sensitivity and the amplitude adjustment target of the transfer function matrix, and to solve for the tuning values ​​of the reactive power compensation equipment parameters through the optimization model.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method of any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method of any one of claims 1 to 6.

10. A computer program product comprising a computer program / instructions, characterized in that, When the computer program / instructions are executed by the processor, they implement the steps of the method according to any one of claims 1 to 6.

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