Parameter control method, device and equipment of power system unit and medium

Abstract

The invention provides a parameter control method and device for a power system unit, equipment and a medium. The method comprises the steps of calculating a first fundamental wave positive sequence electrical quantity and a first fundamental wave negative sequence electrical quantity of a target unit under each target working condition according to actually measured data; according to the simulation data, respectively calculating a second fundamental wave positive sequence electrical quantity and a second fundamental wave negative sequence electrical quantity of the target unit under each target working condition; respectively calculating a fundamental wave positive sequence electrical quantity error of each target time interval; according to the first fundamental wave negative sequence electrical quantity and the second fundamental wave negative sequence electrical quantity, respectively calculating fundamental wave negative sequence electrical quantity errors of each target time interval; and according to the fundamental wave positive sequence electrical quantity error and the fundamental wave negative sequence electrical quantity error, determining a parameter adjusting quantity of the target unit, and realizing parameter control of the target unit based on the parameter adjusting quantity. According to the method, the unit-level model of the power system can well reflect the actual characteristics, and the transient modeling efficiency is effectively improved.

Description

Technical Field

[0001] The present invention application relates to the field of power system data modeling, and particularly relates to a parameter control method, device, equipment and medium for a power system unit. Background Art

[0002] In recent years, the new energy industry has developed rapidly. The large-scale access of new energy to the power grid has brought challenges to the safe and stable operation of the power grid. Under this background, the accurate modeling of new energy units and dynamic reactive power compensation devices can provide necessary basic conditions for the evaluation of new energy power station characteristics, the stability analysis of new energy access to the power system, and accident countermeasures, and is one of the important contents of new energy grid connection tests.

[0003] Since carrying out a unit-level modeling requires considering various verification working conditions, time intervals and error indicators, the workload is heavy and there is a lot of repetitive work, resulting in a large amount of error calculation for a round of full-condition verification. Especially when the verification error is large and the model parameters need to be debugged multiple times, the heavy workload will affect the transient modeling efficiency of new energy units. Summary of the Invention

[0004] The present invention application provides a parameter control method, device, equipment and medium for a power system unit to solve the technical problem of how to improve the transient modeling efficiency of the power system unit level.

[0005] To solve the above technical problem, the present invention application provides a parameter control method for a power system unit, including:

[0006] Obtain the measured data and simulation data of the target unit;

[0007] According to the measured data, calculate the first fundamental positive sequence electrical quantity and the first fundamental negative sequence electrical quantity of the target unit under each target working condition respectively; according to the simulation data, calculate the second fundamental positive sequence electrical quantity and the second fundamental negative sequence electrical quantity of the target unit under each of the target working conditions respectively;

[0008] According to the first fundamental positive sequence electrical quantity and the second fundamental positive sequence electrical quantity, calculate the fundamental positive sequence electrical quantity error of each target time interval respectively; according to the first fundamental negative sequence electrical quantity and the second fundamental negative sequence electrical quantity, calculate the fundamental negative sequence electrical quantity error of each target time interval respectively;

[0009] According to the fundamental positive sequence electrical quantity error and the fundamental negative sequence electrical quantity error, determine the parameter adjustment amount of the target unit, and realize the parameter control of the target unit based on the parameter adjustment amount.

[0010] As a preferred solution, the calculation formulas for the first fundamental positive sequence electrical quantity and the second fundamental positive sequence electrical quantity include:

[0011] U1 = (U a + a 2 U b + aU c ) / 3;

[0012] Wherein, U1 is the fundamental positive sequence electrical quantity, a is the rotation operator, and U a , U b and U C are three-phase voltages.

[0013] As a preferred solution, the calculation formulas for the first fundamental negative sequence electrical quantity and the second fundamental negative sequence electrical quantity include:

[0014] U2 = (U a + aU b + a 2 U c ) / 3;

[0015] Wherein, U2 is the fundamental negative sequence electrical quantity.

[0016] As a preferred solution, the calculation formula for the rotation operator includes: a = e j2π / 3 .

[0017] As a preferred solution, before calculating the errors of the fundamental positive sequence electrical quantities in each target time interval, the parameter control method further includes:

[0018] Obtain the first modeling requirement data;

[0019] According to the first modeling requirement data, divide the measured data and the simulation data into a pre-fault time interval, a fault period, and a post-fault time interval, and determine the pre-fault time interval, the fault period, and the post-fault time interval as the target time intervals;

[0020] Or, according to the second modeling requirement data, divide the measured data and the simulation data into a transient interval and a steady-state interval, and determine the transient interval and the steady-state interval as the target time intervals.

[0021] As a preferred solution, the calculating the errors of the fundamental positive sequence electrical quantities in each target time interval includes:

[0022] Calculate the average deviation, average absolute deviation, maximum deviation, and weighted average deviation of the fundamental positive sequence electrical quantities in each target time interval respectively;

[0023] The calculating the errors of the fundamental negative sequence electrical quantities in each target time interval includes:

[0024] Calculate the average deviation, average absolute deviation, maximum deviation, and weighted average deviation of the fundamental negative sequence electrical quantities for each target time interval respectively.

[0025] As a preferred solution, the obtaining of the measured data and simulation data of the target unit includes:

[0026] Obtain the measured data matrix and simulation data matrix of the target unit; wherein, the measured data matrix includes the time data, three-phase voltage, and three-phase current measured by the target unit; the simulation data matrix includes the time data, three-phase voltage, and three-phase current simulated by the target unit.

[0027] Correspondingly, the present invention application also provides a parameter control device for a power system unit, including a data acquisition module, an electrical quantity calculation module, an error calculation module, and a parameter control module; wherein,

[0028] The data acquisition module is used to obtain the measured data and simulation data of the target unit;

[0029] The electrical quantity calculation module is used to calculate the first fundamental positive sequence electrical quantity and the first fundamental negative sequence electrical quantity of the target unit under each target condition according to the measured data; calculate the second fundamental positive sequence electrical quantity and the second fundamental negative sequence electrical quantity of the target unit under each target condition according to the simulation data;

[0030] The error calculation module is used to calculate the fundamental positive sequence electrical quantity error for each target time interval according to the first fundamental positive sequence electrical quantity and the second fundamental positive sequence electrical quantity; calculate the fundamental negative sequence electrical quantity error for each target time interval according to the first fundamental negative sequence electrical quantity and the second fundamental negative sequence electrical quantity;

[0031] The parameter control module is used to determine the parameter adjustment amount of the target unit according to the fundamental positive sequence electrical quantity error and the fundamental negative sequence electrical quantity error, and realize the parameter control of the target unit based on the parameter adjustment amount.

[0032] As a preferred solution, the calculation formulas for the first fundamental positive sequence electrical quantity and the second fundamental positive sequence electrical quantity include:

[0033] U1 = (U a + a 2 U b + aU c ) / 3;

[0034] wherein, U1 is the fundamental positive sequence electrical quantity, a is the rotation operator, and U a , U b and U C are the three-phase voltages.

[0035] As a preferred solution, the calculation formulas for the first fundamental negative sequence electrical quantity and the second fundamental negative sequence electrical quantity include:

[0036] U2 = (U a + aU b + a 2 U c ) / 3;

[0037] where U2 is the fundamental negative sequence electrical quantity.

[0038] As a preferred solution, the calculation formula for the rotation operator includes: a = e j2π / 3 .

[0039] As a preferred solution, the parameter control method further includes a time interval determination module, and the time interval determination module is used to, before the error calculation module calculates the fundamental positive sequence electrical quantity errors of each target time interval respectively:

[0040] Obtain the first modeling requirement data;

[0041] According to the first modeling requirement data, divide the measured data and the simulation data into a pre-fault time interval, a fault period, and a post-fault time interval, and determine the pre-fault time interval, the fault period, and the post-fault time interval as the target time intervals;

[0042] Alternatively, according to the second modeling requirement data, divide the measured data and the simulation data into a transient interval and a steady-state interval, and determine the transient interval and the steady-state interval as the target time intervals.

[0043] As a preferred solution, the error calculation module calculates the fundamental positive sequence electrical quantity errors of each target time interval respectively, including:

[0044] The error calculation module calculates the average deviation, average absolute deviation, maximum deviation, and weighted average deviation of the fundamental positive sequence electrical quantity of each target time interval respectively;

[0045] The data acquisition module calculates the fundamental negative sequence electrical quantity errors of each target time interval respectively, including:

[0046] Calculate the average deviation, average absolute deviation, maximum deviation, and weighted average deviation of the fundamental negative sequence electrical quantity of each target time interval respectively.

[0047] As a preferred solution, the data acquisition module obtains the measured data and the simulation data of the target unit, including:

[0048] The data acquisition module acquires the measured data matrix and the simulation data matrix of the target unit; wherein, the measured data matrix includes the time data, three-phase voltage and three-phase current measured by the target unit; and the simulation data matrix includes the time data, three-phase voltage and three-phase current simulated by the target unit.

[0049] Correspondingly, the present invention application also provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, the parameter control method of the power system unit is implemented.

[0050] Correspondingly, the present invention application also provides a computer-readable storage medium. The computer-readable storage medium includes a stored computer program. When the computer program runs, the device where the computer-readable storage medium is located is controlled to execute the parameter control method of the power system unit.

[0051] Compared with the prior art, the present invention application has the following beneficial effects:

[0052] The present invention application provides a parameter control method, device, equipment and medium for a power system unit. The parameter control method includes: obtaining the measured data and simulation data of a target unit; respectively calculating the first fundamental positive-sequence electrical quantity and the first fundamental negative-sequence electrical quantity of the target unit under each target working condition according to the measured data; respectively calculating the second fundamental positive-sequence electrical quantity and the second fundamental negative-sequence electrical quantity of the target unit under each target working condition according to the simulation data; respectively calculating the fundamental positive-sequence electrical quantity error of each target time interval according to the first fundamental positive-sequence electrical quantity and the second fundamental positive-sequence electrical quantity; respectively calculating the fundamental negative-sequence electrical quantity error of each target time interval according to the first fundamental negative-sequence electrical quantity and the second fundamental negative-sequence electrical quantity; determining the parameter adjustment amount of the target unit according to the fundamental positive-sequence electrical quantity error and the fundamental negative-sequence electrical quantity error, and realizing the parameter control of the target unit based on the parameter adjustment amount. Implementing the present invention application, according to the measured data of the target unit, the first fundamental positive-sequence electrical quantity and the first fundamental negative-sequence electrical quantity under each target working condition are calculated. According to the simulation data of the target unit, the second fundamental positive-sequence electrical quantity and the second fundamental negative-sequence electrical quantity under each target working condition are calculated, so as to obtain the fundamental negative-sequence electrical quantity error and the fundamental positive-sequence electrical quantity error. According to different user modeling requirements, the target working condition can be all working conditions that meet the user modeling requirements or some of them. Through the analysis of the simulation data and measured data of the target unit, the present application can complete the error quantity analysis and identification of the target unit under different target working conditions. In addition, according to the fundamental positive-sequence electrical quantity error and the fundamental negative-sequence electrical quantity error, the present application determines the parameter adjustment amount of the target unit and realizes the parameter control of the target unit based on the parameter adjustment amount, so that the error index at the unit level of the power system meets the user modeling requirements, enabling the unit-level model of the power system to better reflect the actual characteristics and effectively improving the transient modeling efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 : It is a schematic flowchart of an embodiment of the parameter control method for a power system unit provided by the present invention.

[0054] Figure 2 : It is the waveform of the model verification result of a certain wind turbine unit under a certain working condition provided by the present invention application. Figure 1 .

[0055] Figure 3 : It is the waveform of the model verification result of a certain wind turbine unit under a certain working condition provided by the present invention application. Figure 2 .

[0056] Figure 4 : It is the waveform of the model verification result of a certain wind turbine unit under a certain working condition provided by the present invention application. Figure 3 .

[0057] Figure 5 : Waveform of the model verification result of a certain operating condition of a certain type of wind turbine provided for this invention application Figure 4 。

[0058] Figure 6 : Waveform of the model verification result of a certain operating condition of a certain type of wind turbine provided for this invention application Figure 5 。

[0059] Figure 7 : Structural schematic diagram of an embodiment of the parameter control device for the power system unit provided by this invention. Detailed implementation manners

[0060] Next, the technical solutions in the embodiments of this invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of this invention. Obviously, the described embodiments are only a part of the embodiments of this invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of this invention without creative efforts shall fall within the protection scope of this invention.

[0061] Embodiment 1

[0062] Please refer to Figure 1 , Figure 1 A parameter control method for a power system unit provided for this invention application, including steps S101 to S104; among them, each step is described in detail as follows:

[0063] Step S101, obtain the measured data and simulation data of the target unit.

[0064] In this step, the parameter control method can be applied to a computer device, which includes but is not limited to smart phones, laptop computers, tablet computers, desktop computers, and devices connected to physical servers or cloud servers, etc.

[0065] In this step, the target unit can be a wind turbine, a photovoltaic inverter, an energy storage converter, and / or a dynamic reactive power compensation device. The modeling data of the target unit can be the electromagnetic transient model or the electromechanical transient model of any one of the above types of units. The above computer device can be communicatively connected to the above target unit or the power system, so as to obtain the measured data and simulation data of the target unit.

[0066] In this embodiment, for different target units or different modeling objects, their operating condition settings, calculation error types, error index requirements, etc. can be determined respectively, so as to set and match corresponding calculation programs that meet the requirements of current standards and grid specifications.

[0067] The measured data and simulation data described in this step can be represented in the form of matrices, such as being represented as a measured data matrix and a simulation data matrix. Among them, the measured data matrix includes the time data, three-phase voltage, and three-phase current measured by the target unit; the simulation data matrix includes the time data, three-phase voltage, and three-phase current simulated by the target unit.

[0068] Before step S102, the time scales of the measured data and the simulation data can be aligned, specifically including aligning the time points when the faults occur in the measured data and the simulation data. Also, the data points that do not correspond in the time queues of the measured data and the simulation data are removed, laying a foundation for calculating the error between the two subsequently.

[0069] Step S102: According to the measured data, calculate the first fundamental positive-sequence electrical quantity and the first fundamental negative-sequence electrical quantity of the target unit under each target condition; according to the simulation data, calculate the second fundamental positive-sequence electrical quantity and the second fundamental negative-sequence electrical quantity of the target unit under each of the target conditions.

[0070] In this step, the target conditions can be divided according to parameters such as power magnitude, fault drop level, fault type, and power transmission direction.

[0071] In this implementation, all conditions or some conditions can be selected according to user requirements for calculating the fundamental positive-sequence electrical quantity and the fundamental negative-sequence electrical quantity of the target unit.

[0072] An example of distinguishing different conditions for the same unit is shown in Table 1 below.

[0073]

[0074] Table 1 Example of condition combinations of a certain wind turbine model under a certain condition

[0075] After all combinations of conditions in different dimensions, they constitute all the calculation conditions of the unit, such as "three-phase 20% fault under high-power charging mode" and "single-phase 130% fault under low-power discharging mode", etc. The specific calculation condition settings can be adjusted according to actual needs and will not be elaborated in this embodiment.

[0076] Furthermore, according to the measured or simulated three-phase voltages U a 、U b 、U c and the three-phase currents I a 、I b 、I c , the corresponding fundamental positive / negative-sequence electrical quantities can be calculated. Taking voltage as an example:

[0077] The calculation formulas for the first fundamental positive-sequence electrical quantity and the second fundamental positive-sequence electrical quantity include:

[0078] U1 = (U a + a 2 U b + aU c ) / 3;

[0079] Wherein, U1 is the fundamental positive sequence electrical quantity, a is the rotation operator, and U a , U b and U C are three-phase voltages.

[0080] The calculation formulas of the first fundamental negative sequence electrical quantity and the second fundamental negative sequence electrical quantity include:

[0081] U2 = (U a + aU b + a 2 U c ) / 3;

[0082] Wherein, U2 is the fundamental negative sequence electrical quantity.

[0083] Wherein, the calculation formula of the rotation operator includes: a = e j2π / 3 .

[0084] It can be understood that when U1 is the first fundamental positive sequence electrical quantity, U a , U b and U C are the measured three-phase voltages; when U1 is the second fundamental positive sequence electrical quantity, U a , U b and U C are the simulated three-phase voltages; when U2 is the first fundamental negative sequence electrical quantity, U a , U b and U C are the measured three-phase voltages; when U2 is the second fundamental negative sequence electrical quantity, U a , U b and U C are the simulated three-phase voltages.

[0085] Similarly, based on the three-phase currents I a , I b , I c , by replacing the three-phase voltages in the above formulas with three-phase currents, the corresponding first fundamental positive sequence electrical quantity, the second fundamental positive sequence electrical quantity, the first fundamental negative sequence electrical quantity, and the second fundamental negative sequence electrical quantity can be calculated.

[0086] Step S103: Calculate the fundamental positive-sequence electrical quantity errors for each target time interval based on the first fundamental positive-sequence electrical quantity and the second fundamental positive-sequence electrical quantity; calculate the fundamental negative-sequence electrical quantity errors for each target time interval based on the first fundamental negative-sequence electrical quantity and the second fundamental negative-sequence electrical quantity.

[0087] In this step, the target time period can be divided according to the specific modeling requirements of the user or different types of target units. Exemplarily, taking a wind turbine as an example:

[0088] Before calculating the fundamental positive-sequence electrical quantity errors for each target time interval respectively, the parameter control method further includes:

[0089] In an example of this embodiment, obtain the first modeling requirement data; according to the first modeling requirement data, divide the measured data and the simulation data into a pre-fault time interval (W pre ), a fault period (W fault ), and a post-fault time interval (W post ), and determine the pre-fault time interval, the fault period, and the post-fault time interval as the target time intervals;

[0090] Alternatively, in another example of this embodiment, divide the measured data and the simulation data into a transient interval and a steady-state interval according to the second modeling requirement data, and determine the transient interval and the steady-state interval as the target time intervals.

[0091] Preferably, W pre , W fault , and W post can be further divided into a transient interval with voltage sudden change and a steady-state interval with stable operation, so as to determine the specific target time intervals.

[0092] Further, the calculating the fundamental positive-sequence electrical quantity errors for each target time interval respectively includes: calculating the average deviation, average absolute deviation, maximum deviation, and weighted average deviation of the fundamental positive-sequence electrical quantity for each target time interval; the calculating the fundamental negative-sequence electrical quantity errors for each target time interval respectively includes: calculating the average deviation, average absolute deviation, maximum deviation, and weighted average deviation of the fundamental negative-sequence electrical quantity for each target time interval. The above-mentioned errors of different types of fundamental electrical quantities can intuitively reflect the operating conditions of the target unit of the power system and the performance of the modeling.

[0093] Step S104: Determine the parameter adjustment amount of the target unit according to the fundamental positive-sequence electrical quantity error and the fundamental negative-sequence electrical quantity error, and realize the parameter control of the target unit based on the parameter adjustment amount.

[0094] In this embodiment, based on the fundamental positive-sequence electrical quantity error and fundamental negative-sequence electrical quantity error obtained in step S103, the average deviation, average absolute deviation, maximum deviation, and weighted average deviation of the fundamental negative-sequence electrical quantity in each target time interval can be displayed, as well as the average deviation, average absolute deviation, maximum deviation, and weighted average deviation of the fundamental positive-sequence electrical quantity in each target time interval. In addition, data such as positive / negative sequence voltage, active current, reactive current, active power, and reactive power waveform diagrams can be displayed as needed to meet the requirement of rapid visualization of errors during the model debugging process, facilitating intuitive and easy implementation of over-limit error analysis, thereby further guiding model parameter identification and adjustment. At the same time, the corresponding simulation result diagrams and simulation result error matrices are saved to the target folder.

[0095] According to the results shown above, the parameter adjustment amount of the target unit can be determined as needed, and the parameter control of the target unit can be achieved based on the parameter adjustment amount. Exemplarily, when a certain type of error exceeds a preset limit, its corresponding control parameter can be adjusted to ensure that the error is within an acceptable range.

[0096] When the errors shown in the display results all meet the user's requirements, all or part of the data of the above display results can be read to generate a word document report in a specified format.

[0097] Correspondingly, the present invention application also provides an application example of electromagnetic transient modeling of a wind turbine generator of a certain model. This example applies the above-mentioned parameter control method for power system units and quickly completes the calculations of 32 high / low voltage ride-through conditions, 5 types of positive-sequence electrical quantities, 5 intervals, and 4 types of error types. The calculation results of the positive-sequence component for one low voltage ride-through condition are shown in the following table, and the negative-sequence component and other modeling objects are similar.

[0098]

[0099] Table 2 Model verification results of a certain model wind turbine generator under a certain condition

[0100] As shown in Table 2, interval A refers to the interval before the fault, intervals B1 and B2 refer to the transient interval and steady-state interval during the fault respectively, and intervals C1 and C2 refer to the transient interval and steady-state interval after the fault. The verification result waveform diagram of this application example is as Figures 2 - 6 shown, and its display results can show the situation of power system units, which is intuitive.

[0101] Correspondingly, as Figure 7 shown, the present invention application also provides a parameter control device 700 for power system units, including a data acquisition module 701, an electrical quantity calculation module 702, an error calculation module 703, and a parameter control module 704; wherein,

[0102] The data acquisition module 701 is configured to acquire the measured data and simulation data of the target unit;

[0103] The electrical quantity calculation module 702 is configured to calculate the first fundamental positive-sequence electrical quantity and the first fundamental negative-sequence electrical quantity of the target unit under each target operating condition according to the measured data; and calculate the second fundamental positive-sequence electrical quantity and the second fundamental negative-sequence electrical quantity of the target unit under each target operating condition according to the simulation data;

[0104] The error calculation module 703 is configured to calculate the fundamental positive-sequence electrical quantity error of each target time interval according to the first fundamental positive-sequence electrical quantity and the second fundamental positive-sequence electrical quantity; and calculate the fundamental negative-sequence electrical quantity error of each target time interval according to the first fundamental negative-sequence electrical quantity and the second fundamental negative-sequence electrical quantity;

[0105] The parameter control module 704 is configured to determine the parameter adjustment amount of the target unit according to the fundamental positive-sequence electrical quantity error and the fundamental negative-sequence electrical quantity error, and implement parameter control of the target unit based on the parameter adjustment amount.

[0106] As a preferred solution, the calculation formulas for the first fundamental positive-sequence electrical quantity and the second fundamental positive-sequence electrical quantity include:

[0107] U1 = (U a + a 2 U b + aU c ) / 3;

[0108] wherein, U1 is the fundamental positive-sequence electrical quantity, a is the rotation operator, and U a , U b and U C are three-phase voltages.

[0109] As a preferred solution, the calculation formulas for the first fundamental negative-sequence electrical quantity and the second fundamental negative-sequence electrical quantity include:

[0110] U2 = (U a + aU b + a 2 U c ) / 3;

[0111] wherein, U2 is the fundamental negative-sequence electrical quantity.

[0112] As a preferred solution, the calculation formula for the rotation operator includes: a = e j2π / 3 .

[0113] As a preferred solution, the parameter control method further includes a time interval determination module, which is configured to, before the fundamental positive sequence electrical quantity errors of each target time interval are calculated by the error calculation module 703 respectively:

[0114] Obtain first modeling requirement data;

[0115] According to the first modeling requirement data, divide the measured data and simulation data into a pre-fault time interval, a fault period, and a post-fault time interval, and determine the pre-fault time interval, the fault period, and the post-fault time interval as target time intervals;

[0116] Alternatively, according to the second modeling requirement data, divide the measured data and simulation data into a transient interval and a steady-state interval, and determine the transient interval and the steady-state interval as target time intervals.

[0117] As a preferred solution, the error calculation module 703 calculates the fundamental positive sequence electrical quantity errors of each target time interval respectively, including:

[0118] The error calculation module 703 calculates the average deviation, average absolute deviation, maximum deviation, and weighted average deviation of the fundamental positive sequence electrical quantity of each target time interval respectively;

[0119] The data acquisition module 701 calculates the fundamental negative sequence electrical quantity errors of each target time interval respectively, including:

[0120] Calculate the average deviation, average absolute deviation, maximum deviation, and weighted average deviation of the fundamental negative sequence electrical quantity of each target time interval respectively.

[0121] As a preferred solution, the data acquisition module 701 acquires the measured data and simulation data of the target unit, including:

[0122] The data acquisition module 701 acquires a measured data matrix and a simulation data matrix of the target unit; wherein, the measured data matrix includes the time data, three-phase voltages, and three-phase currents measured by the target unit; the simulation data matrix includes the time data, three-phase voltages, and three-phase currents simulated by the target unit.

[0123] Correspondingly, the present invention application also provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, the parameter control method of the power system unit as described above is implemented.

[0124] The so-called processor may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The processor is the control center of the terminal and connects various parts of the entire terminal through various interfaces and lines.

[0125] The memory can be used to store the computer program. The processor realizes various functions of the terminal by running or executing the computer program stored in the memory and calling the data stored in the memory. The memory mainly includes a program storage area and a data storage area. Among them, the program storage area can store an operating system, application programs required for at least one function (such as a sound playback function, an image playback function, etc.); the data storage area can store data created according to the use of the mobile phone (such as audio data, phone book, etc.). In addition, the memory may include high-speed random access memory and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, SmartMedia Card (SMC), Secure Digital (SD) card, Flash Card, at least one magnetic disk storage device, flash device, or other volatile solid-state storage devices.

[0126] Correspondingly, the present invention application also provides a computer-readable storage medium. The computer-readable storage medium includes a stored computer program, wherein when the computer program runs, it controls the device where the computer-readable storage medium is located to execute the parameter control method of the power system unit.

[0127] Among them, if the module integrated in the parameter control device / terminal of the power system unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, to implement all or part of the processes in the above-mentioned embodiment methods of the present invention, it can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0128] Compared with the prior art, the present invention application has the following beneficial effects:

[0129] The present invention application provides a parameter control method, device, equipment and medium for a power system unit. The parameter control method includes: obtaining the measured data and simulation data of a target unit; respectively calculating the first fundamental positive sequence electrical quantity and the first fundamental negative sequence electrical quantity of the target unit under each target working condition according to the measured data; respectively calculating the second fundamental positive sequence electrical quantity and the second fundamental negative sequence electrical quantity of the target unit under each target working condition according to the simulation data; respectively calculating the fundamental positive sequence electrical quantity error of each target time interval according to the first fundamental positive sequence electrical quantity and the second fundamental positive sequence electrical quantity; respectively calculating the fundamental negative sequence electrical quantity error of each target time interval according to the first fundamental negative sequence electrical quantity and the second fundamental negative sequence electrical quantity; determining the parameter adjustment amount of the target unit according to the fundamental positive sequence electrical quantity error and the fundamental negative sequence electrical quantity error, and realizing the parameter control of the target unit based on the parameter adjustment amount. Implementing the present invention application, according to the measured data of the target unit, the first fundamental positive sequence electrical quantity and the first fundamental negative sequence electrical quantity under each target working condition are calculated. According to the simulation data of the target unit, the second fundamental positive sequence electrical quantity and the second fundamental negative sequence electrical quantity under each target working condition are calculated, so as to obtain the fundamental negative sequence electrical quantity error and the fundamental positive sequence electrical quantity error. According to different user modeling requirements, the target working condition can be all working conditions that meet the user modeling requirements or some of them. Through the analysis of the simulation data and the measured data of the target unit, the present application can complete the error quantity analysis and identification of the target unit under different target working conditions. In addition, according to the fundamental positive sequence electrical quantity error and the fundamental negative sequence electrical quantity error, the present application determines the parameter adjustment amount of the target unit and realizes the parameter control of the target unit based on the parameter adjustment amount, so that the error index at the unit level of the power system meets the user modeling requirements, enabling the unit-level model of the power system to better reflect the actual characteristics and effectively improving the transient modeling efficiency.

[0130] In the above specific embodiments, the purpose, technical solution and beneficial effects of the present invention are further described in detail. It should be understood that the above are only specific embodiments of the present invention and are not used to limit the protection scope of the present invention. It is particularly pointed out that for those skilled in the art, any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A parameter control method for a power system unit, characterized in that: include: Obtain measured data and simulation data of the target unit; According to the measured data, respectively calculating the first fundamental positive-sequence electrical quantity and the first fundamental negative-sequence electrical quantity of the target unit under each target operating condition; According to the simulation data, respectively calculating the second fundamental positive-sequence electrical quantity and the second fundamental negative-sequence electrical quantity of the target unit under each of the target operating conditions; According to the first fundamental positive-sequence electrical quantity and the second fundamental positive-sequence electrical quantity, respectively, a fundamental positive-sequence electrical quantity error in each target time interval is calculated; according to the first fundamental negative-sequence electrical quantity and the second fundamental negative-sequence electrical quantity, respectively, a fundamental negative-sequence electrical quantity error in each target time interval is calculated; According to the fundamental positive-sequence electrical quantity error and the fundamental negative-sequence electrical quantity error, the parameter adjustment amount of the target unit is determined, and parameter control of the target unit is achieved based on the parameter adjustment amount.

2. A parameter control method for a power system unit according to claim 1, characterized in that: Before respectively calculating the fundamental positive-sequence electrical quantity errors of each target time interval, the parameter control method further includes: Acquire first modeling requirement data; According to the first modeling requirement data, the measured data and the simulation data are divided into a pre-fault time interval, a fault period, and a post-fault time interval, and the pre-fault time interval, the fault period, and the post-fault time interval are determined as target time intervals; Alternatively, according to the second modeling requirement data, the measured data and the simulation data are divided into a transient interval and a steady-state interval, and the transient interval and the steady-state interval are determined as the target time interval.

3. A parameter control method for a power system unit according to claim 1, characterized in that: The calculating of the fundamental positive sequence electrical quantity error of each target time interval respectively includes: Calculate the average deviation, average absolute deviation, maximum deviation and weighted average deviation of the fundamental positive sequence electrical quantity in each target time interval respectively; The respectively calculating the fundamental wave negative sequence electrical quantity error of each target time interval includes: The average deviation, average absolute deviation, maximum deviation and weighted average deviation of the fundamental negative sequence electrical quantity in each target time interval are calculated respectively.

4. A parameter control method for a power system unit according to claim 1, characterized in that: The step of obtaining measured data and simulation data of the target unit includes: Obtain a measured data matrix and a simulation data matrix of the target unit; wherein the measured data matrix includes the measured time data, three-phase voltage and three-phase current of the target unit; and the simulation data matrix includes the simulated time data, three-phase voltage and three-phase current of the target unit.

5. A parameter control method for a power system unit according to any one of claims 1 to 4, characterized in that: The calculation formula of the first fundamental wave positive sequence electrical quantity and the second fundamental wave positive sequence electrical quantity is include: U1=(U a +a 2 IN b +aU c ) / 3; Among them, U1 is the fundamental positive sequence electrical quantity, a is the rotation operator, and U a , U b and U C It is three-phase voltage.

6. A parameter control method for a power system unit as claimed in claim 5, characterized in that: The calculation formula of the first fundamental wave negative sequence electrical quantity and the second fundamental wave negative sequence electrical quantity is include: U2=(U a +aU b +a 2 IN c ) / 3; Among them, U2 is the fundamental negative sequence electrical quantity.

7. A parameter control method for a power system unit as claimed in claim 6, characterized in that: The calculation formula of the rotation operator includes: a=e j2π / 3 .

8. A parameter control device for a power system unit, characterized in that: It includes a data acquisition module, an electrical quantity calculation module, an error calculation module and a parameter control module; wherein, The data acquisition module is used to acquire the measured data and simulation data of the target unit; The electrical quantity calculation module is used to calculate the first fundamental positive sequence electrical quantity and the first fundamental negative sequence electrical quantity of the target unit under each target operating condition according to the measured data; and calculate the second fundamental positive sequence electrical quantity and the second fundamental negative sequence electrical quantity of the target unit under each target operating condition according to the simulation data; The error calculation module is used to calculate the fundamental positive sequence electrical quantity error of each target time interval according to the first fundamental positive sequence electrical quantity and the second fundamental positive sequence electrical quantity; and calculate the fundamental negative sequence electrical quantity error of each target time interval according to the first fundamental negative sequence electrical quantity and the second fundamental negative sequence electrical quantity; The parameter control module is used to determine the parameter adjustment amount of the target unit according to the fundamental positive-sequence electrical quantity error and the fundamental negative-sequence electrical quantity error, and to implement parameter control of the target unit based on the parameter adjustment amount.

9. A terminal device, characterized in that: It comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements the parameter control method of the power system unit as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the parameter control method of the power system unit according to any one of claim 7.

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