Field line coupling response calculation method and device, electronic equipment and storage medium

Abstract

The present disclosure discloses a field line coupling response calculation method and device, electronic equipment and storage medium, relates to the technical field of electromagnetic pulse protection, through the present application, since the frequency domain parameter matrix of the long distance power transmission line is decomposed into the form of decoupling equivalent transmission unit transmission matrix multiplication with the same structure, the nonlinear load model is embedded in the hierarchical system model and the parameter state is dynamically updated, the preset model and the iterative algorithm are combined to solve the field line coupling system, the dynamic response characteristics of the time domain nonlinear load are effectively fused, and the solving process is optimized, therefore, the technical problem that the overvoltage prediction error is significantly increased and the iterative process cannot converge due to the fact that the frequency domain iterative model is adopted and the dynamic response characteristics of the time domain nonlinear load are not effectively fused in the existing field line coupling calculation method can be solved, thereby the accuracy and reliability of the protection design are affected, the technical effects of improving the overvoltage prediction precision, ensuring the convergence of the iterative process, and improving the accuracy and reliability of the protection design are achieved.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of electromagnetic pulse protection, and particularly relates to a field-line coupling response calculation method and device, electronic equipment and a storage medium. BACKGROUND

[0002] As a key interference source in electromagnetic compatibility analysis of power systems, electromagnetic pulses are widely used in anti-interference capability evaluation of power plants and key equipment. In the related art, a basic framework for field-line coupling calculation is constructed through the cooperation of the frequency domain multi-conductor cable telegraph equation and the Jacobi iteration method. Specifically, this method covers the whole process from electromagnetic field incidence, conductor coupling response modeling to iterative approximation, including frequency-varying transmission line parameter modeling, frequency-varying ground response analysis and multi-conductor coupling effect processing and other key links. With the increasing complexity of power systems, especially the wide application of long-distance transmission lines and nonlinear loads, the traditional method gradually exposes systematic limitations in dealing with time-varying nonlinear responses.

[0003] However, in the existing field-line coupling calculation method, the frequency domain iterative model is directly used, and the dynamic response characteristics of the time-domain nonlinear load are not effectively fused, which may cause the overvoltage prediction error to increase significantly, the iterative process to fail to converge, and thus the accuracy and reliability of the protection design to be affected. SUMMARY

[0004] The present disclosure provides a field-line coupling response calculation method, device, electronic equipment and storage medium. Its main purpose is to solve the problem that the overvoltage prediction error increases significantly, the iterative process fails to converge, and thus the accuracy and reliability of the protection design are affected.

[0005] According to a first aspect of the present disclosure, a field-line coupling response calculation method is provided, which comprises:

[0006] The frequency domain transmission line parameter matrix of the long-distance transmission line is decomposed into a form of multiplication of multiple decoupling equivalent transmission unit transmission matrices with the same structure; wherein each decoupling equivalent transmission unit is composed of two lossless transmission lines and one lossy network;

[0007] The nonlinear load model is embedded in the cascade system model, and the parameter state of the nonlinear load is dynamically updated in each iteration process; wherein the cascade system model is a cascade system model of the decoupling equivalent transmission unit constructed based on a preset product formula;

[0008] The field-line coupling system is solved based on the preset cascade system model and the iterative algorithm, and the target coupling response parameter is obtained.

[0009] Optionally, the step of decomposing the frequency-domain transmission line parameter matrix of the long-distance power transmission line into a form of multiplication of a plurality of decoupled equivalent transmission unit transmission matrices with the same structure comprises:

[0010] The total length of the transmission line is equally divided into a preset number of unit lengths; wherein the multiplication of the decoupled equivalent transmission unit transmission matrix is jointly constituted by the propagation constant of the lossless transmission line and the impedance matrix of the lossy network.

[0011] Optionally, in the cascade system model, a nonlinear load model is embedded, and before the parameter state of the nonlinear load is dynamically updated in each iteration process, the method further comprises:

[0012] Based on the preset product formula, the frequency-domain transmission line parameter matrix is exponentially decomposed;

[0013] The frequency-domain transmission line parameter matrix after exponential decomposition is combined in a cascading manner to obtain the cascade system model.

[0014] Optionally, the step of embedding a nonlinear load model in the cascade system model and dynamically updating the parameter state of the nonlinear load in each iteration process comprises:

[0015] The nonlinear load model is inserted into the terminal or intermediate node of the corresponding power transmission line, and the voltage-current characteristic is adjusted in real time according to the voltage response;

[0016] A nonlinear equation set solving method is used to jointly and iteratively update the dynamic response of the nonlinear load and the field line coupling response of the transmission line.

[0017] Optionally, the method further comprises:

[0018] According to the preset error tolerance range, the number of iterations is adjusted, and the iteration is terminated when the difference between the results of adjacent two iterations is less than a set threshold.

[0019] According to a second aspect of the present disclosure, a field line coupling response calculation device is provided, comprising:

[0020] A decomposition unit is configured to decompose the frequency-domain transmission line parameter matrix of the long-distance power transmission line into a form of multiplication of a plurality of decoupled equivalent transmission unit transmission matrices with the same structure; wherein each decoupled equivalent transmission unit is composed of two lossless transmission lines and one lossy network;

[0021] An updating unit is configured to embed a nonlinear load model in the cascade system model and dynamically update the parameter state of the nonlinear load in each iteration process; wherein the cascade system model is a cascade system model of the decoupled equivalent transmission unit constructed based on a preset product formula;

[0022] The first calculation unit is configured to solve the field-line coupling system based on a preset hierarchical system model and an iterative algorithm, and obtain a target coupling response parameter.

[0023] Optionally, the decomposition unit is further configured to:

[0024] The total length of the transmission line is equally divided into a preset number of unit lengths; and the continuous multiplication of the decoupling equivalent transmission unit transmission matrix is jointly formed by the propagation constant of the lossless transmission line and the impedance matrix of the lossy network.

[0025] Optionally, the apparatus further comprises:

[0026] The second calculation unit is configured to perform exponential decomposition on the frequency-domain transmission line parameter matrix based on the preset product formula before the updating unit inserts a nonlinear load model into the hierarchical system model and dynamically updates the parameter state of the nonlinear load in each iteration process.

[0027] The combination unit is configured to combine the frequency-domain transmission line parameter matrix after the exponential decomposition in a cascading manner to obtain the hierarchical system model.

[0028] Optionally, the updating unit is further configured to:

[0029] The nonlinear load model is inserted into a terminal or an intermediate node of a corresponding power transmission line, and the voltage-current characteristic thereof is adjusted in real time according to a voltage response.

[0030] The nonlinear equation set solving method is adopted to jointly and iteratively update the dynamic response of the nonlinear load and the field-line coupling response of the transmission line.

[0031] Optionally, the apparatus further comprises:

[0032] The iteration unit is configured to adjust the number of iterations according to a preset error tolerance range, and terminate the iteration when the difference between the results of two adjacent iterations is less than a set threshold.

[0033] According to a third aspect of the present disclosure, an electronic device is provided, comprising:

[0034] at least one processor; and

[0035] a memory connected to the at least one processor in communication; wherein

[0036] 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 the first aspect.

[0037] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to cause the computer to perform the method of the first aspect.

[0038] According to a fifth aspect of the present disclosure, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the method of the first aspect.

[0039] The field line coupling response calculation method, device, electronic equipment and storage medium provided by the present disclosure mainly include the following technical solutions: the frequency domain transmission line parameter matrix of the long distance power transmission line is decomposed into a form of multiplication of a plurality of decoupling equivalent transmission unit transmission matrices with the same structure; each decoupling equivalent transmission unit is composed of two lossless transmission lines and one lossy network; a nonlinear load model is embedded in the cascade system model, and the parameter state of the nonlinear load is dynamically updated in each iteration process; the cascade system model of the decoupling equivalent transmission unit is constructed based on a preset product formula; and the field line coupling system is solved based on the preset cascade system model and the iteration algorithm to obtain the target coupling response parameter. Compared with related technologies, by decomposing the frequency domain parameter matrix of the long distance power transmission line into the form of multiplication of the decoupling equivalent transmission unit transmission matrix with the same structure, embedding the nonlinear load model in the cascade system model and dynamically updating the parameter state thereof, and solving the field line coupling system by combining the preset model and the iteration algorithm, the dynamic response characteristics of the time domain nonlinear load are effectively fused, and the solving process is optimized, so that the technical problem that the overvoltage prediction error is significantly increased and the iteration process cannot converge due to the use of the frequency domain iteration model and the ineffective fusion of the dynamic response characteristics of the time domain nonlinear load in the existing field line coupling calculation method is solved, thereby improving the overvoltage prediction accuracy, ensuring the convergence of the iteration process, and improving the accuracy and reliability of the protection design.

[0040] It should be understood that the content described in this part is not intended to identify key or important features of the embodiments of the present application, nor to limit the scope of the present application. Other features of the present application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0041] The accompanying drawings are used to better understand the present scheme and do not limit the present disclosure. Among them:

[0042] Figure 1 A flowchart of a field line coupling response calculation method provided by an embodiment of the present disclosure;

[0043] Figure 2 A structure diagram of a field line coupling response calculation device provided by an embodiment of the present disclosure;

[0044] Figure 3 Another structural schematic diagram of a field line coupling response calculation device provided by an embodiment of the present disclosure is provided.

[0045] Figure 4 A schematic block diagram of an example electronic device provided by an embodiment of the present disclosure is provided. DETAILED DESCRIPTION

[0046] Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, which include various details of the embodiments of the present disclosure to assist in understanding, which should be considered in a descriptive sense only. Thus, it will be apparent to one of ordinary skill in the art that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, for the sake of brevity and clarity, descriptions of well-known functions and constructions are omitted from the following description.

[0047] A field line coupling response calculation method, device, electronic device and storage medium of an embodiment of the present disclosure are described below with reference to the accompanying drawings.

[0048] Figure 1 A flowchart of a field line coupling response calculation method provided by an embodiment of the present disclosure is provided.

[0049] As shown in Figure 1 , the method comprises the following steps:

[0050] Step 101, decompose the frequency domain transmission line parameter matrix of the long distance power transmission line into a form of multiplication of a plurality of decoupling equivalent transmission unit transmission matrices with the same structure; wherein each decoupling equivalent transmission unit is composed of two lossless transmission lines and one lossy network;

[0051] In the coupling response calculation process of the long distance power transmission line, the frequency domain transmission line parameter matrix thereof needs to be processed first. The frequency domain transmission line parameter matrix of the long distance power transmission line comprehensively reflects the electrical characteristics of the line under different frequencies, which contains key parameters such as resistance matrix (R), inductance matrix (L), capacitance matrix (C) and conductance matrix (G) per unit length, which together determine the coupling response characteristics of the line under the action of external electromagnetic pulses. In order to more efficiently and accurately carry out the subsequent coupling response calculation, the complex frequency domain transmission line parameter matrix needs to be decomposed and processed.

[0052] Specifically, the frequency-domain transmission line parameter matrix is decomposed into a form of a connected multiplication of transmission matrices of a plurality of decoupled equivalent transmission units with the same structure. The core of this decomposition is to simplify the structure of a complex system, and to regard the long-distance transmission line as a network composed of a plurality of basic units, i.e., decoupled equivalent transmission units. Through such decomposition, the problem of the long-line parameter matrix that is difficult to directly process is transformed into the problem of connected multiplication of transmission matrices of a plurality of same units, greatly reducing the complexity of calculation, and also providing convenience for subsequent characteristic analysis and response calculation of each unit.

[0053] The structure design of each decoupled equivalent transmission unit is the key to realize this decomposition. Each decoupled equivalent transmission unit is composed of two lossless transmission lines and a lossy network. The lossless transmission line mainly corresponds to the part of the line without energy loss, and its transmission line parameters reflect the electromagnetic coupling law of the line in the ideal lossless state, and can effectively represent the propagation characteristics of electromagnetic waves under the condition of no loss. The lossy network is used to simulate the energy loss phenomenon existing in the line, and its transmission line parameters correspond to factors such as resistance and conductance that cause energy loss, which can accurately capture the characteristic changes of the line in actual operation due to loss. The organic combination of the two lossless transmission lines and the lossy network enables each decoupled equivalent transmission unit to comprehensively and accurately reflect the comprehensive electrical characteristics of a small section of the long-distance transmission line, thereby ensuring that the network formed by cascading a plurality of such units can truly approximate the actual characteristics of the entire long-distance transmission line, and laying a solid foundation for subsequent coupled response calculation.

[0054] In step 102, a nonlinear load model is embedded in the cascaded system model, and the parameter state of the nonlinear load is dynamically updated in each iteration process; wherein the cascaded system model is a cascaded system model of the decoupled equivalent transmission unit constructed based on a preset product formula;

[0055] The cascaded system model is constructed based on a preset product formula, specifically a network model formed by cascading a plurality of decoupled equivalent transmission units with the same structure. The preset product formula provides a mathematical basis for the construction of the model, ensuring the parameter matching and characteristic transmission of each decoupled equivalent transmission unit in the cascading process, so that the cascaded system model can accurately reflect the overall electrical characteristics of the long-distance transmission line.

[0056] Since there are often nonlinear loads in actual power transmission lines, the characteristics of these nonlinear loads will have a significant impact on the coupling response of the line, and the traditional method is difficult to include nonlinear loads in the calculation system, so it is necessary to embed the nonlinear load model in the constructed cascade system model. The nonlinear load model can represent the nonlinear characteristics of the load under different voltage and current conditions, such as the nonlinear change of the load's voltage-current characteristic curve with the change of the input signal. After embedding it in the cascade system model, the overall calculation of the coupling response of the power transmission line containing nonlinear loads can be realized.

[0057] In the iterative calculation process, the parameter state of the nonlinear load is not fixed, but changes with the dynamic change of the voltage and current in the line. In order to ensure the accuracy of the calculation results, the parameter state of the nonlinear load needs to be dynamically updated in each iteration process. Specifically, at each iteration step, the parameters in the nonlinear load model are adjusted in real time according to the line response data (such as voltage and current values) obtained in the current calculation, so that they are consistent with the actual load characteristics under the current working condition. Through this dynamic updating mechanism, the characteristic changes of the nonlinear load at different iteration stages can be effectively captured, ensuring that the cascade system model always matches the actual line working condition during the iteration process, thereby continuously improving the accuracy of the coupling response calculation results, and ultimately obtaining calculation results closer to the actual situation.

[0058] Step 103, based on the preset cascade system model and the iterative algorithm, the field-line coupling system is solved to obtain the target coupling response parameters.

[0059] In the field-line coupling response calculation of long-distance power transmission lines, the preset cascade system model is the basic framework for solving work. This model is composed of multiple decoupled equivalent transmission units with the same structure connected in series, each unit containing two sections of lossless transmission lines and a lossy network. It can accurately reproduce the electrical characteristics of power transmission lines in frequency-varying media, including the effects of unit length resistance, inductance, capacitance, and conductance, etc., providing model support for the solution of field-line coupling systems that matches the actual line characteristics.

[0060] The iterative algorithm is the key means to achieve accurate solution. In the solving process, the iterative algorithm continuously optimizes the calculation results through step-by-step approximation: in the initial stage, the individual irradiation of electromagnetic pulses on each conductor is included in the calculation, and the coupling effect between conductors is ignored to obtain preliminary response parameters; from the subsequent iteration steps, the algorithm introduces the mutual coupling effect between conductors in the calculation, and updates the intermediate parameters such as voltage and current obtained in each iteration step based on the transmission characteristics of each decoupled equivalent transmission unit in the preset cascade system model.

[0061] Specifically, based on the preset cascade system model, the iterative algorithm will convert the electromagnetic pulse effect, the frequency-varying parameter characteristics of the line, and the cascade relationship between the units into calculable mathematical equations according to the transmission matrix relationship of each unit, and continuously correct the intermediate results through repeated iterative operations. Practice shows that after 3-4 iterations, the calculation result usually reaches satisfactory accuracy. Through such a solving process, the target coupling response parameters reflecting the field-line coupling characteristics, such as the voltage response and current response of each point of the line, can be finally obtained, which can provide an important basis for analyzing the influence of electromagnetic pulses on long-distance transmission lines.

[0062] In some embodiments, the decomposition of the frequency-domain transmission line parameter matrix of the long-distance transmission line into a plurality of structurally identical decoupled equivalent transmission unit transmission matrices in a form of a continuous multiplication comprises:

[0063] The total length of the transmission line is equally divided into a preset number of unit lengths; wherein the continuous multiplication of the decoupled equivalent transmission unit transmission matrix is composed of the propagation constant of the lossless transmission line and the impedance matrix of the lossy network.

[0064] The total length of the transmission line is equally divided into a preset number of unit lengths. The core purpose of this operation is to divide the originally continuous long-distance transmission line into several line segments of equal length, each of which corresponds to a decoupled equivalent transmission unit. This equal division ensures that each decoupled equivalent transmission unit has the same structure, facilitating the subsequent construction of a unified unit transmission matrix and the realization of cascade calculation, so that complex long-line characteristic analysis can be transformed into characteristic analysis and combination operation of multiple identical basic units, greatly reducing the complexity of parameter matrix decomposition and overall characteristic solving.

[0065] In this process, the continuous multiplication of the decoupled equivalent transmission unit transmission matrix is composed of the propagation constant of the lossless transmission line and the impedance matrix of the lossy network. The propagation constant of the lossless transmission line is a key parameter that characterizes the propagation characteristics of electromagnetic waves in the lossless transmission line, which comprehensively reflects the phase change and propagation speed of electromagnetic waves, and can accurately describe the propagation law of electromagnetic waves under the condition of no energy loss, ensuring that the transmission characteristics of the lossless part are accurately reflected. The impedance matrix of the lossy network is used to characterize the electrical characteristics related to energy loss in the unit, which includes energy loss information caused by resistance, conductance, etc., and can effectively capture the influence of actual loss phenomena in the line on transmission characteristics. By combining the propagation constant of the lossless transmission line with the impedance matrix of the lossy network, the transmission matrix of each decoupled equivalent transmission unit is formed, and the unit transmission matrices are multiplied to effectively decompose the frequency-domain transmission line parameter matrix of the long-distance transmission line, thereby accurately reproducing the comprehensive transmission characteristics of the entire line through unit cascade.

[0066] In some embodiments, the method further comprises, before embedding the nonlinear load model in the cascade system model and dynamically updating the parameter state of the nonlinear load in each iteration process:

[0067] performing exponential decomposition on the frequency-domain transmission line parameter matrix based on the preset product formula;

[0068] combining the frequency-domain transmission line parameter matrix after the exponential decomposition in a cascading manner to obtain the cascade system model.

[0069] The preset product formula provides a mathematical basis for the decomposition of the frequency-domain transmission line parameter matrix. Based on the principle of the improved product formula, the complex frequency-domain transmission line parameter matrix can be reasonably split in an exponential form, so that the overall parameter matrix that is originally difficult to handle directly is converted into a decomposable exponential form sub-matrix. Through this exponential decomposition, the frequency-domain transmission line parameter matrix reflecting the overall electrical characteristics of the long-distance transmission line can be decomposed into multiple sub-matrices that can represent the local line characteristics, and each sub-matrix corresponds to the core parameter characteristics of a section of line, laying a foundation for subsequent cascading combination.

[0070] After completing the exponential decomposition, each frequency-domain transmission line parameter sub-matrix obtained by the decomposition needs to be combined in a cascading manner. In the cascading combination process, according to the line section characteristics corresponding to each sub-matrix, the sub-matrices are sequentially connected in the order of the actual physical structure of the line, so that each sub-matrix serves as a basic unit participating in the construction of the overall system model. Since each decomposed sub-matrix corresponds to the transmission characteristics of a decoupled equivalent transmission unit with the same structure, through cascading combination, the transmission matrices of these units are multiplied, and finally a cascade system model is formed that can comprehensively reflect the overall transmission characteristics of the long-distance transmission line. This model not only retains the frequency-varying parameter characteristics of the line, but also realizes precise simulation of the structure of the long-distance line through unit cascading, providing a reliable model basis for subsequent embedding of the nonlinear load model and carrying out iterative calculation.

[0071] In some embodiments, the embedding of the nonlinear load model in the cascade system model and the dynamic updating of the parameter state of the nonlinear load in each iteration process comprises:

[0072] inserting the nonlinear load model into the terminal or intermediate node of the corresponding transmission line, and adjusting the volt-ampere characteristic in real time according to the voltage response;

[0073] using a nonlinear equation set solving method to jointly and iteratively update the dynamic response of the nonlinear load and the field line coupling response of the transmission line.

[0074] In the process of embedding the nonlinear load model in the cascade system model and realizing the parameter state dynamic update, the nonlinear load model needs to be accurately inserted into the terminal or intermediate node of the corresponding power transmission line according to the load distribution of the actual power transmission line. The terminal of the power transmission line is usually connected with various types of electrical equipment or transformation devices, and the intermediate node may have load access due to the needs of line branching, sectional control, etc. Inserting the nonlinear load model into these positions can truly simulate the distribution characteristics of the load in the actual line and ensure the consistency of the model and the actual working condition. The voltage-current characteristic of the nonlinear load is the core of characterizing its nonlinear behavior, i.e., the current and voltage of the load present a non-proportional change relationship. In the iterative calculation process, the voltage response calculated in the current line needs to be used to adjust this voltage-current characteristic in real time. With the progress of iteration, the voltage in the line will change, and the voltage-current characteristic curve of the corresponding nonlinear load will also be dynamically adjusted to accurately reflect the actual working state of the load under different voltage conditions.

[0075] To realize the collaborative calculation of the dynamic response of the nonlinear load and the field-line coupling response of the transmission line, a nonlinear equation set solving method needs to be used for joint iterative update. There is a mutual influence and mutual restriction relationship between the dynamic response of the nonlinear load and the field-line coupling response of the transmission line: the field-line coupling response of the transmission line determines the voltage and current input at both ends of the nonlinear load, and the dynamic response of the nonlinear load in turn affects the voltage and current distribution of the transmission line. By establishing a nonlinear equation set containing the transmission line coupling characteristic equation and the nonlinear load voltage-current characteristic equation, the calculation result of the field-line coupling response of the transmission line is used as the input of the nonlinear load model at each iteration, the dynamic response parameters of the load are obtained by solving the nonlinear equation set, and the dynamic response parameters are fed back to the transmission line model to update the coupling response calculation conditions of the transmission line. Through such a joint iterative update mechanism, the mutual interaction between the two can be fully considered, the matching of the line coupling response and the dynamic characteristics of the load in each iteration process can be ensured, and the accuracy of the overall calculation result can be continuously improved.

[0076] In some embodiments, the method further comprises:

[0077] According to the preset error tolerance range, the number of iterations is adjusted, and the iteration is terminated when the difference between the results of two adjacent iterations is less than a set threshold.

[0078] In the process of solving the field-line coupling system based on the preset level system model and the iterative algorithm, in order to ensure that the accuracy and efficiency of the calculation result are balanced, the method further includes adjusting the number of iterations according to the preset error tolerance range, and taking the difference between the results of two adjacent iterations as the basis for judging the termination of iteration. The preset error tolerance range is a acceptable error interval that is set in advance according to the accuracy requirement of actual engineering calculation, which directly determines the accuracy required in the iteration process. For example, in the scene where the accuracy requirement of the coupling response parameter is high, the error tolerance range is set to be smaller, while in the scene where the accuracy requirement is relatively low, it can be appropriately relaxed to reduce unnecessary calculation amount.

[0079] In the iteration process, each iteration generates corresponding field-line coupling response parameter results, such as the voltage and current of each point on the line. By comparing the results of two adjacent iterations, the difference between the two is calculated, which can intuitively reflect the convergence degree of the iteration process. When the difference between the results of two adjacent iterations is less than the set threshold, it indicates that the current iteration result is close enough to the true value, and further iteration has limited effect on the improvement of accuracy. At this time, terminating the iteration can improve the calculation efficiency on the premise of ensuring the calculation accuracy. The set threshold is a specific numerical limit determined based on the preset error tolerance range, which converts the abstract error tolerance requirement into a quantifiable judgment standard, ensuring the objectivity and operability of the iteration termination condition. In this way, the number of iterations can be dynamically adjusted to avoid insufficient accuracy or waste of calculation resources caused by fixed iteration number, making the solution process of the field-line coupling system more flexible and practical, and ultimately obtaining the target coupling response parameter that meets the accuracy requirement.

[0080] Corresponding to the above-mentioned field-line coupling response calculation method, the present application also proposes a field-line coupling response calculation device. Since the device embodiments of the present application correspond to the above-mentioned method embodiments, the details not disclosed in the device embodiments can be referred to the above-mentioned method embodiments, which will not be described in detail in the present application.

[0081] Figure 2 A structural schematic diagram of a field-line coupling response calculation device provided by an embodiment of the present disclosure is shown in Figure 2 As shown in the figure, it includes:

[0082] The decomposition unit 21 is configured to decompose the frequency domain transmission line parameter matrix of the long distance power transmission line into a form of multiplication of transmission matrices of a plurality of decoupled equivalent transmission units with the same structure; wherein each decoupled equivalent transmission unit is composed of two lossless transmission lines and one lossy network.

[0083] The updating unit 22 is configured to embed the nonlinear load model in the cascade system model, and dynamically update the parameter state of the nonlinear load in each iteration process; wherein the cascade system model is a cascade system model of the decoupled equivalent transmission unit constructed based on a preset product formula.

[0084] The first calculation unit 23 is configured to solve the field-line coupling system based on the preset cascade system model and an iteration algorithm, and obtain a target coupling response parameter.

[0085] Further, in a possible implementation of the embodiment of the present disclosure, the decomposition unit 21 is further configured to:

[0086] divide the total length of the transmission line into a preset number of unit lengths; wherein the continuous multiplication of the transmission matrix of the decoupled equivalent transmission unit is composed of the propagation constant of the lossless transmission line and the impedance matrix of the lossy network.

[0087] Further, in a possible implementation of the embodiment of the present disclosure, as shown in Figure 3 the device further comprises:

[0088] The second calculation unit 24 is configured to perform exponential decomposition on the frequency-domain transmission line parameter matrix based on the preset product formula before the updating unit 22 embeds the nonlinear load model in the cascade system model and dynamically updates the parameter state of the nonlinear load in each iteration process.

[0089] The combination unit 25 is configured to combine the frequency-domain transmission line parameter matrix after the exponential decomposition in a cascading manner to obtain the cascade system model.

[0090] Further, in a possible implementation of the embodiment of the present disclosure, the updating unit 22 is further configured to:

[0091] insert the nonlinear load model into the terminal or intermediate node of the corresponding power transmission line, and adjust the volt-ampere characteristic in real time according to the voltage response;

[0092] adopt a nonlinear equation set solving method to jointly and iteratively update the dynamic response of the nonlinear load and the field-line coupling response of the transmission line.

[0093] Further, in a possible implementation of the embodiment of the present disclosure, as shown in Figure 3 the device further comprises:

[0094] The iteration unit 26 is configured to adjust the number of iterations according to a preset error tolerance range, and terminate the iteration when the difference between the results of two adjacent iterations is less than a set threshold.

[0095] It should be noted that the foregoing description of the method embodiments applies equally to the apparatus embodiments of the present disclosure, and the principles are the same, and the apparatus embodiments of the present disclosure are not limited herein.

[0096] According to embodiments of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

[0097] Figure 4 A schematic block diagram of an example electronic device 300 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptops, desktops, tablets, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown here, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present disclosure described and / or claimed in this document.

[0098] As Figure 4 shown, the device 300 includes a computing unit 301 that can perform various appropriate actions and processes in accordance with a computer program stored in a ROM (Read-Only Memory) 302 or a computer program loaded into a RAM (Random Access Memory) 303 from a storage unit 308. Various programs and data required for the operation of the device 300 can also be stored in the RAM 303. The computing unit 301, the ROM 302, and the RAM 303 are connected to each other through a bus 304. An I / O (Input / Output) interface 305 is also connected to the bus 304.

[0099] Various components in the device 300 are connected to the I / O interface 305, including an input unit 306, such as a keyboard, a mouse, etc., an output unit 307, such as various types of displays, speakers, etc., a storage unit 308, such as a magnetic disk, an optical disk, etc., and a communication unit 309, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 309 allows the device 300 to exchange information / data with other devices through a computer network, such as the Internet, and / or various telecommunication networks.

[0100] The computing unit 301 can be various general and / or special purpose processing components with processing and computing capabilities. Some examples of the computing unit 301 include, but are not limited to, a CPU (Central Processing Unit), a GPU (Graphic Processing Units), various special-purpose AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, a DSP (Digital Signal Processor), and any appropriate processor, controller, microcontroller, etc. The computing unit 301 performs various methods and processes described above, such as the field line coupling response computation method. For example, in some embodiments, the field line coupling response computation method can be implemented as a computer software program that is tangibly embodied in a machine-readable medium, such as the storage unit 308. In some embodiments, part or all of the computer program can be loaded and / or installed onto the device 300 via the ROM 302 and / or the communication unit 309. When the computer program is loaded onto the RAM 303 and executed by the computing unit 301, one or more steps of the methods described above can be performed. Alternatively, in other embodiments, the computing unit 301 can be configured to perform the aforementioned field line coupling response computation method by any other appropriate means, such as by means of firmware.

[0101] Various implementations of the systems and techniques described above herein can be realized in digital electronic circuitry, integrated circuitry, a Field Programmable Gate Array (FPGA), an Application-Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a System on Chip (SOC), a Complex Programmable Logic Device (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0102] Program code for carrying out methods of the present disclosure can be written in any combination of one or more programming languages. The program code can be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the program code, when executed by the processor or controller, produces the functions / operations specified in the flowcharts and / or the block diagrams. The program code can be executed entirely on a machine, partially on a machine, partially on a machine as a stand-alone software package, partially on a machine and partially on a remote machine or entirely on a remote machine or server.

[0103] In the context of the present disclosure, a machine-readable medium can be a tangible medium that can contain or store program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable storage medium can include, without limitation, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of the machine-readable storage medium will include one or more lines of electrical connections, portable computer disks, hard disk, RAM, ROM, EPROM (Electrically Programmable Read-Only-Memory), or flash memory, fiber optics, CD-ROM (Compact Disc Read-Only Memory), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0104] To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having a display device (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the computer. Other kinds of devices can be used to provide for interaction with a user as well; 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 acoustic, speech, or tactile input.

[0105] The systems and techniques described here can be implemented in a computing system that includes a back end component, e.g., as a data server, or that includes a middleware component, e.g., an application server, or that includes a front end component, e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here, or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication, e.g., a communication network. Examples of communication networks include a LAN (Local Area Network), a WAN (Wide Area Network), the Internet, and a blockchain network.

[0106] The computer system can include clients and servers. The clients and servers are generally remote from each other and typically interact through a communication network. The relationship of client and server is one of communication and distribution, with the server receiving requests from the client and transmitting responses via the communication network. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system. The server can also be a server of a distributed system, or a server combined with a blockchain.

[0107] It should be noted that artificial intelligence is a discipline that studies enabling computers to simulate some thinking processes and intelligent behaviors of people (such as learning, reasoning, thinking, planning, etc.), which has both hardware and software technologies. Artificial intelligence hardware technology generally includes technologies such as sensors, special artificial intelligence chips, cloud computing, distributed storage, big data processing, etc.; artificial intelligence software technology mainly includes computer vision technology, speech recognition technology, natural language processing technology, and machine learning / deep learning, big data processing technology, knowledge graph technology, etc. several major directions.

[0108] It should be understood that the various forms of flow shown above can be used to reorder, add or delete steps. For example, each step described in the present disclosure can be executed in parallel, sequentially or in a different order, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, which is not limited herein.

[0109] The above detailed description does not limit the scope of the disclosure. Various modifications, combinations, sub-combinations and alternatives can be made to the detailed description. Any modification, equivalent replacement and improvement etc. made within the spirit and principle of the disclosure shall be included in the scope of the disclosure.

Claims

1. A method for calculating field-line coupling response, characterized in that, include: The frequency domain transmission line parameter matrix of a long-distance transmission line is decomposed into a product of multiple decoupled equivalent transmission unit transmission matrices with identical structures; each decoupled equivalent transmission unit consists of two lossless transmission lines and a lossy network. A nonlinear load model is embedded in the cascaded system model, and the parameter state of the nonlinear load is dynamically updated in each iteration; wherein, the cascaded system model is a cascaded system model of the decoupled equivalent transmission unit constructed based on a preset product formula; The field-line coupled system is solved based on a pre-defined cascaded system model and iterative algorithm to obtain the target coupling response parameters.

2. The method according to claim 1, characterized in that, The method of decomposing the frequency domain transmission line parameter matrix of a long-distance transmission line into a product of multiple decoupled equivalent transmission unit transmission matrices with identical structures includes: The total length of the transmission line is divided into a predetermined number of unit lengths; wherein, the multiplication of the transmission matrices of the decoupling equivalent transmission units is composed of the propagation constant of the lossless transmission line and the impedance matrix of the lossy network.

3. The method according to claim 1, characterized in that, Before embedding a nonlinear load model into the cascaded system model and dynamically updating the parameter states of the nonlinear load during each iteration, the method further includes: The frequency domain transmission line parameter matrix is ​​decomposed exponentially based on the preset product formula. The frequency domain transmission line parameter matrix after exponential decomposition is combined in a cascade manner to obtain the cascaded system model.

4. The method according to claim 3, characterized in that, The step of embedding a nonlinear load model into the cascaded system model and dynamically updating the parameter state of the nonlinear load during each iteration includes: The nonlinear load model is inserted into the terminal or intermediate node of the corresponding transmission line, and its volt-ampere characteristics are adjusted in real time according to the voltage response. A nonlinear equation system solution method is adopted to jointly iterate and update the dynamic response of the nonlinear load and the field-line coupling response of the transmission line.

5. The method according to claim 1, characterized in that, The method further includes: The number of iterations is adjusted according to a preset error tolerance range, and the iteration is terminated when the difference between two adjacent iterations is less than a set threshold.

6. A field-line coupling response calculation device, characterized in that, include: The decomposition unit is used to decompose the frequency domain transmission line parameter matrix of a long-distance transmission line into a product of multiple decoupled equivalent transmission unit transmission matrices with the same structure; wherein each decoupled equivalent transmission unit consists of two lossless transmission lines and a lossy network. An update unit is used to embed a nonlinear load model into the cascaded system model and dynamically update the parameter state of the nonlinear load in each iteration; wherein, the cascaded system model is a cascaded system model of the decoupled equivalent transmission unit constructed based on a preset product formula; The first calculation unit is used to solve the field-line coupling system based on a preset cascaded system model and iterative algorithm to obtain the target coupling response parameters.

7. The apparatus according to claim 6, characterized in that, The decomposition unit is also used for: The total length of the transmission line is divided into a predetermined number of unit lengths; wherein, the multiplication of the transmission matrices of the decoupling equivalent transmission units is composed of the propagation constant of the lossless transmission line and the impedance matrix of the lossy network.

8. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, 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 of any one of claims 1-5.

9. A non-transitory computer-readable storage medium storing computer instructions, characterized in that, The computer instructions are used to cause the computer to perform the method according to any one of claims 1-5.

10. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method according to any one of claims 1-5.

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