Power distribution network line impedance analysis and identification method and system based on measurement data

Abstract

The invention discloses a power distribution network line impedance analysis and identification method and system based on measurement data. The method comprises the following steps: inputting a connection relationship between nodes of a power distribution network; sorting the nodes according to the number of interval nodes between the nodes and the head end node according to the connection relation of the nodes of the power distribution network; importing the voltage amplitude and power information of each node of the power distribution network at the # imgabs0 # moment, the # imgabs1 # moment and the # imgabs2 # moment, and setting the # imgabs3 # moment; calculating the line impedance and the power loss between the node # imgabs4 # and the node # imgabs5 #; judging whether # imgabs6 # is 1 or not, if # imgabs7 #, setting # imgabs8 #, and recalculating the line impedance and power loss between the node # imgabs9 # and the node # imgabs10 #; and otherwise, outputting the line impedance parameter # imgabs12 # of the power distribution network at the # imgabs11 # moment. According to the method, the reliability of power supply is improved, and the fault condition can be better predicted and coped with by accurately knowing the line impedance.

Description

Technical Field

[0001] The present invention belongs to the technical field of distribution network line impedance identification, and particularly relates to a distribution network line impedance analysis and identification method and system based on measurement data. Background Art

[0002] With the rapid development of the global economy, the number of users, electricity demand, and power quality requirements within distribution networks are increasing. Currently, efficient and accurate governance strategies rely heavily on transparent distribution network parameters. However, with the transformation of distribution network architectures, the impedance parameters of distribution networks are difficult to update in real time, limiting the efficient and accurate management of power quality in distribution networks. Current impedance identification methods for distribution networks can be categorized as model-based, measurement-based, and artificial intelligence-based. Model-based methods rely primarily on an understanding of the physical characteristics of power systems and the establishment of corresponding mathematical models for description. Measurement-based methods rely primarily on accurate and comprehensive monitoring data, employing synchronized vector measurement units (PMUs) in conjunction with smart meters to monitor and analyze a variety of power quality information. Artificial intelligence-based methods employ deep learning and other algorithms to train large amounts of historical data to uncover the inherent correlations between various feature inputs.

[0003] Existing model-based methods cannot accurately establish distribution network impedance models when some information within the distribution network is unknown or inaccurate (such as line model, line length, etc.); existing measurement-based methods mainly rely on accurate and comprehensive measurement data, among which the measurement of voltage phase requires the use of synchronous vector measurement technology. In order to achieve complete impedance parameter identification of the distribution network, a large number of PMU devices need to be installed, which is less economical and difficult to fully promote; existing artificial intelligence-based methods mainly rely on large amounts of historical data when performing impedance parameter identification. The training results have high requirements on the quality of the training data and have low interpretability. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to address the deficiencies in the above-mentioned prior art and provide a distribution network line impedance analysis and identification method and system based on measurement data, which is used to solve the technical problem that the distribution network line impedance parameters cannot be identified under existing monitoring conditions, and realize the impedance parameter identification under limited monitoring conditions of the distribution network.

[0005] The present invention adopts the following technical solutions: A method for analyzing and identifying line impedance of a distribution network based on measurement data comprises the following steps: S1, the connection relationship between each node of the input distribution network; S2. Sort the nodes by the number of nodes between them and the head-end node according to the connection relationship between the nodes in the distribution network; S3, import Time and 、 The voltage amplitude and power information of each node in the distribution network at the moment ; S4, computing nodes With node Line impedance and power loss between S5. Judgment Is it 1? , then let , and go to step S4; otherwise output Distribution network line impedance parameters at time .

[0006] Preferably, in step S1, for the distribution network node set Any node in , there is a unique node , making , is the total number of nodes, the superscript Represents the previous node; let the set .

[0007] Preferably, in step S2, the set The nodes in the set are calculated in turn to calculate the number of nodes between them and the first node, and the set is obtained. , for the set The array in Sort the size of the array from small to large, and get a new collection after sorting. ,at this time .

[0008] Preferably, the collection The number of nodes between the nodes in and the first end node is calculated in sequence as follows: S201. For any node ,make , initial count ;like , proceed to step S204; S202, Order , ; S203. Judgment Is it 1? , then let , proceed to step S202; S204, output , which is the node The number of nodes between the first and last nodes.

[0009] Preferably, step S4 is specifically: Joint 、 、 Time Node With node The voltage relationship equation of For Node When performing the above calculations, take the square of the modulus of both sides of the voltage relationship equation and perform transposition and combination operations to obtain the equations of the three circles in the plane rectangular coordinate system. The intersection of the three circles is the node With node Inter-resistance With inductance Analytical solution of .

[0010] Preferably, 、 、 Time Node With node The voltage relationship equation of

[0011] in, for Time Node The voltage value, For the line The line impedance, for Timeline Depend on The line power at the end.

[0012] Preferably, Timeline Depend on Line power at the end The calculation is as follows:

[0013] in, express Time Node The monitored power value, Indicates line Power loss due to line impedance.

[0014] Preferably, the line Power loss in line impedance The calculation is as follows: (3) in, for Time Node The voltage value, For the line The line impedance, for Timeline Depend on The line power at the end.

[0015] Preferably, the equations of the three circles in the plane rectangular coordinate system are as follows:

[0016] in, For the line The line resistance value, for Time Node The square of the voltage amplitude, for Timeline Depend on The active power of the line at the end, for Timeline Depend on The reactive power of the line at the end, for Timeline Depend on The square of the apparent power of the line at the end, For the line The line inductance value, for Time Node The square of the voltage amplitude.

[0017] In a second aspect, an embodiment of the present invention provides a distribution network line impedance analysis and identification system based on measurement data, comprising: Input module, inputs the connection relationship between each node of the distribution network; The sorting module sorts the nodes by the number of nodes between them and the head-end node according to the connection relationship between the nodes in the distribution network; Import module, import Time and 、 The voltage amplitude and power information of each node in the distribution network at the moment ; Computing module, computing node With node Line impedance and power loss between Output module, judgment Is it 1? , then let , and enter the calculation module; otherwise, output Distribution network line impedance parameters at time .

[0018] In a third aspect, a computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the above-mentioned distribution network line impedance analysis and identification method based on measurement data are implemented.

[0019] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, comprising a computer program, which, when executed by a processor, implements the steps of the above-mentioned method for analyzing and identifying the impedance of a distribution network line based on measurement data.

[0020] In a fifth aspect, a chip comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the above-mentioned method for analyzing and identifying the impedance of the distribution network line based on measurement data are implemented.

[0021] In a sixth aspect, an embodiment of the present invention provides an electronic device, comprising a computer program, which, when executed by the electronic device, implements the steps of the above-mentioned distribution network line impedance analysis and identification method based on measurement data.

[0022] Compared with the prior art, the present invention has at least the following beneficial effects: A distribution network line impedance analytical identification method based on measurement data, under limited monitoring conditions (only the voltage amplitude and power information of each node are known) and limited known information (only the connection relationship of each node is known), uses monitoring information from three sets of time moments to first calculate the line impedance and power loss between the end nodes by solving the intersection of three circles, and then recursively deduces from the end to the head end, thereby achieving complete analytical identification of the distribution network line impedance, taking into account accuracy, economy, interpretability and computational efficiency, thereby supporting precise and effective power quality management strategies.

[0023] Furthermore, in a non-ring distribution network, for the distribution network node set Any node in , there is a unique node , making ,Therefore, by inputting the connection relationship between each node of the distribution network, the ,overall topology of the distribution network can be uniquely constructed, ,thus providing an accurate topology model for line flow analysis.

[0024] Furthermore, after obtaining the connection relationship of the distribution network topology nodes, in order to further analyze the distribution network current in combination with the monitoring data, it is first necessary to clarify the flow direction of the distribution network current. Therefore, step S2 sorts the nodes according to the number of nodes separated from the head-end node based on the connection relationship of each node in the distribution network, so as to facilitate the subsequent line impedance analysis and identification based on the monitoring data.

[0025] Furthermore, by calculating the number of nodes between each node and the head end node and sorting them, it can be ensured that when calculating the flow from the farthest end to the head end, the flow information between all nodes downstream of the node to be calculated has been calculated.

[0026] Furthermore, by taking the square of the modulus of both sides of the voltage relationship equation and performing transposition and combination operations, the equations of three circles in the plane rectangular coordinate system can be obtained. The circumference of each circle represents the node when the monitoring data is satisfied. With node The feasible solution set of the line impedance between the two circles. Since the line impedance is a constant, if the monitoring information is accurate, the three circles will have a unique intersection point, which is the node With node Inter-resistance With inductance Analytical solution of .

[0027] It can be understood that the beneficial effects of the second to sixth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here.

[0028] In summary, the method of the present invention is applicable to complex distribution networks where impedance parameters are difficult to obtain in real time or where full-node PMU installation is unavailable. Under limited monitoring conditions (only the voltage amplitude and power information of each node is known) and limited known information (only the connection relationship of each node is known), the line impedance and power loss between the end nodes are first calculated by solving the intersection of three circles using three sets of monitoring information at each moment. This is then recursively extrapolated from the end to the beginning, thereby achieving complete analytical identification of the distribution network line impedance. Compared to the installation of a large number of high-precision power quality monitoring devices such as PMUs, the method of the present invention only requires three sets of voltage amplitude and power information at each node in the distribution network to achieve analytical identification of distribution network impedance parameters. The solution complexity does not increase exponentially with the number of line nodes, thus achieving a balance between accuracy, cost-effectiveness, interpretability, and computational efficiency in distribution network impedance identification. If the method of the present invention is promoted, it can meet the power quality management strategy's demand for accurate identification of distribution network line impedance while reducing the purchase, installation, and maintenance costs of high-precision power quality monitoring equipment. Currently, efficient and accurate distribution network management strategies rely heavily on transparent distribution network parameters. However, with the transformation of distribution network architectures, the impedance parameters of distribution networks are difficult to update in real time, limiting the efficient and accurate management of power quality in distribution networks. The proposed distribution network line impedance analytical identification method achieves line impedance parameter identification under limited monitoring conditions, balancing accuracy, economy, interpretability, and computational efficiency. This method supports the further promotion of accurate and effective power quality management strategies in distribution networks.

[0029] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 is a flow chart of the method of the present invention; Figure 2 This is a randomly generated 15-node distribution network topology diagram; Figure 3 Schematic diagram of the (9,15) line impedance solution based on three sets of data; Figure 4 Schematic diagram of the (9,15) line impedance solution based on three sets of data; Figure 5 A schematic diagram of a computer device provided in accordance with an embodiment of the present invention; Figure 6 A block diagram of a chip provided according to one embodiment of the present invention DETAILED DESCRIPTION The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0031] In the description of the present invention, it is to be understood that the terms “include” and “comprise” indicate the presence of the described features, wholes, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or collections thereof.

[0032] It should also be understood that the terms used in the present specification are only for the purpose of describing particular embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0033] It should be further understood that the term "and / or" as used in the present specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items. For example, A and / or B may represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in the present invention generally indicates that the associated objects are in an "or" relationship.

[0034] It should be understood that although the terms "first," "second," and "third" may be used to describe preset ranges in embodiments of the present invention, these preset ranges should not be limited to these terms. These terms are merely used to distinguish one preset range from another. For example, without departing from the scope of embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0035] The word "if," as used herein, may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to the determination" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)," depending on the context.

[0036] The accompanying drawings illustrate various schematic diagrams of structures according to embodiments disclosed herein. These figures are not drawn to scale; for clarity, some details are exaggerated and some details may be omitted. The shapes of the various regions and layers shown in the figures, as well as their relative sizes and positional relationships, are merely exemplary and may deviate in practice due to manufacturing tolerances or technical limitations. Those skilled in the art may design regions / layers with different shapes, sizes, and relative positions as needed.

[0037] Most existing distribution network line impedance parameter identification methods rely on high-precision power quality measurement equipment or a large amount of historical operation data. In actual promotion, they have problems such as low economy and long model training time, which limits the application of high-precision and high-efficiency power quality management strategies in distribution networks. The present invention provides a distribution network line impedance analytical identification method based on measurement data. It only requires three sets of voltage amplitude and power information at each node of the distribution network to realize the analytical identification of distribution network impedance parameters. The solution complexity does not increase geometrically with the increase of line nodes, taking into account the accuracy, economy, interpretability and computational efficiency of distribution network impedance identification.

[0038] See also Figure 1 The present invention provides a distribution network line impedance analytical identification method based on measurement data, comprising the following steps: S1, the connection relationship between each node of the input distribution network; In a non-ring type distribution network, each node can find a unique previous node, that is, for the distribution network node set ( Any node in the total number of nodes , there is a unique node , making ; Among them, superscript Represents the previous node. Let the set .

[0039] 2. Based on the connection relationship of each node in the distribution network, sort the nodes by the number of nodes between them and the head-end node; Node For example, the calculation method of the number of nodes between it and the head end node is: S201. For any node ,make , initial count ;like , proceed to step S204; S202, Order , ; S203. Judgment Is it 1? , then let , proceed to step S202; S204, output , which is the node The number of nodes between the first and last nodes.

[0040] will be collected The nodes in the above operations are performed in sequence to obtain the set , for the set The array in Sort the size of the array from small to large, and get a new collection after sorting. ,at this time .

[0041] S3, import Time and 、 The voltage amplitude and power information of each node in the distribution network at the moment ; S4, computing nodes With node Line impedance and power loss between S401, Lianli 、 、 Time Node With node The voltage relationship equation of (1) in, for Time Node The voltage value, For the line The line impedance, for Timeline Depend on The line power at the end is calculated as follows: (2) in, express Time Node The monitored power value, Indicates line The power loss of line impedance is calculated as follows: (3) in, for Time Node The voltage value, For the line The line impedance, for Timeline Depend on The line power at the end.

[0042] S402: Since the nodes are sorted from the end to the beginning in step S2, When performing the above calculations, the voltage relationship equation contains subscripts All powers are known quantities, and the unknown quantities in the voltage relationship equation are ; Take the square of the modulus on both sides of the voltage relationship equation and perform transposition and combination operations to obtain the equations of the three circles in the plane rectangular coordinate system. The intersection of the three circles is the node With node Inter-resistance With inductance Analytical solution of .

[0043] The equations of the three circles in the rectangular coordinate system are as follows: (4) (5) in, For the line The line resistance value, for Time Node The square of the voltage amplitude, for Timeline Depend on The active power of the line at the end, for Timeline Depend on The reactive power of the line at the end, for Timeline Depend on The square of the apparent power of the line at the end, For the line The line inductance value, for Time Node The square of the voltage amplitude.

[0044] S5. Judgment Is it 1? , then let , and go to step S4; otherwise output Distribution network line impedance parameters at time .

[0045] In another embodiment of the present invention, a distribution network line impedance analysis and identification system based on measurement data is provided. The system can be used to implement the above-mentioned distribution network line impedance analysis and identification method based on measurement data. Specifically, the distribution network line impedance analysis and identification system based on measurement data includes an input module, a sorting module, an import module, a calculation module and an output module.

[0046] Among them, the input module inputs the connection relationship between each node of the distribution network; The sorting module sorts the nodes by the number of nodes between them and the head-end node according to the connection relationship between the nodes in the distribution network; Import module, import Time and 、 The voltage amplitude and power information of each node in the distribution network at the moment ; Computing module, computing node With node Line impedance and power loss between Output module, judgment Is it 1? , then let , and enter the calculation module; otherwise, output Distribution network line impedance parameters at time .

[0047] In another embodiment of the present invention, a terminal device is provided, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions to implement the corresponding method flow or corresponding function; the processor described in the embodiment of the present invention can be used for the operation of the distribution network line impedance analysis and identification method based on measurement data, including: Input the connection relationship between the nodes of the distribution network; according to the connection relationship between the nodes of the distribution network, sort the nodes according to the number of nodes between them and the head end node; import Time and 、 The voltage amplitude and power information of each node in the distribution network at the moment ;Compute nodes With node Line impedance and power loss between Is it 1? , then let , and recalculate the nodes With node Line impedance and power loss between them; otherwise the output Distribution network line impedance parameters at time .

[0048] See also Figure 5 The terminal device is a computer device. The computer device 60 of this embodiment includes: a processor 61, a memory 62, and a computer program 63 stored in the memory 62 and executable by the processor 61. When executed by the processor 61, the computer program 63 implements the distribution network line impedance analysis and identification method based on measurement data in the embodiment. To avoid repetition, the details are not described here. Alternatively, when executed by the processor 61, the computer program 63 implements the functions of each model / unit in the distribution network line impedance analysis and identification system based on measurement data in the embodiment. To avoid repetition, the details are not described here.

[0049] The computer device 60 may be a desktop computer, a notebook computer, a PDA, a cloud server, or other computing devices. The computer device 60 may include, but is not limited to, a processor 61 and a memory 62. It will be understood by those skilled in the art that Figure 5 This is merely an example of the computer device 60 and does not constitute a limitation of the computer device 60 . The computer device 60 may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the computer device may also include input and output devices, network access devices, buses, etc.

[0050] The processor 61 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0051] The memory 62 may be an internal storage unit of the computer device 60, such as a hard disk or memory of the computer device 60. The memory 62 may also be an external storage device of the computer device 60, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the computer device 60.

[0052] Furthermore, the memory 62 may include both an internal storage unit of the computer device 60 and an external storage device. The memory 62 is used to store computer programs and other programs and data required by the computer device. The memory 62 may also be used to temporarily store data that has been output or is about to be output.

[0053] See also Figure 6 The terminal device is a chip. The chip 600 of this embodiment includes a processor 622, which may be one or more, and a memory 632 for storing a computer program executable by the processor 622. The computer program stored in the memory 632 may include one or more modules, each corresponding to a set of instructions. In addition, the processor 622 may be configured to execute the computer program to perform the above-mentioned distribution network line impedance analysis and identification method based on measurement data.

[0054] In addition, the chip 600 may further include a power supply component 626 and a communication component 650. The power supply component 626 may be configured to perform power management of the chip 600, and the communication component 650 may be configured to implement communication, such as wired or wireless communication, of the chip 600. In addition, the chip 600 may further include an input / output interface 658. The chip 600 may operate based on an operating system stored in the memory 632.

[0055] In another embodiment of the present invention, the present invention further provides a storage medium, specifically a computer-readable storage medium, which is a memory device in a terminal device for storing programs and data. It can be understood that the computer-readable storage medium here can include both the built-in storage medium in the terminal device and, of course, the extended storage medium supported by the terminal device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space. These instructions can be one or more computer programs. It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory (Non-Volatile Memory), such as at least one disk memory.

[0056] The processor may load and execute one or more instructions stored in a computer-readable storage medium to implement the corresponding steps of the method for analytically identifying the impedance of a distribution network line based on measurement data in the above embodiment. The processor may load and execute the following steps: Input the connection relationship between the nodes of the distribution network; according to the connection relationship between the nodes of the distribution network, sort the nodes according to the number of nodes between them and the head end node; import Time and 、 The voltage amplitude and power information of each node in the distribution network at the moment ;Compute nodes With node Line impedance and power loss between Is it 1? , then let , and recalculate the nodes With node Line impedance and power loss between them; otherwise the output Distribution network line impedance parameters at time .

[0057] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0058] According to the process of the present invention, for any node of the non-ring network distribution network, the line impedance parameters between the nodes of the distribution network can be analytically obtained based on the voltage amplitude and power monitoring information of each node at three moments. A corresponding program is established in MATLAB for verification, and a 15-node non-ring network distribution network topology is randomly generated, such as Figure 2 The node connection relationship is shown in Table 1: Table 1 Simulation topology node connection relationship

[0059] Based on the operation steps of the present invention, the sorted set can be obtained As shown in Table 2: Table 2 Sorted node set

[0060]

[0061] After the calculations in steps S4 and S5, the impedance parameters between the nodes of the distribution network are obtained by analytical solution. Taking the impedance parameter calculation between lines (9, 15) as an example, the solution effect is as follows: Figure 3 and Figure 4 shown.

[0062] Finally, the identification accuracy of the distribution network line impedance analytical identification method based on measurement data of the present invention is verified. Since the impedance identification results are all analytical solutions, under the condition of accurate monitoring of voltage amplitude and power information, the distribution network line impedance accuracy obtained by the method of the present invention is higher than 99.99%.

[0063] In summary, the present invention provides a method and system for analyzing and identifying distribution network line impedance based on measurement data. By performing high-precision identification of distribution network line impedance, the reliability of power supply can be improved. By accurately understanding the line impedance, fault conditions can be better predicted and responded to. The operation of the power system can be optimized to make energy transmission more efficient. Smart grid technologies such as self-healing systems and demand-side management are supported, which rely on accurate knowledge of the grid status.

[0064] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0065] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0066] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the present invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0067] In the embodiments provided by the present invention, it should be understood that the disclosed devices / terminals and methods can be implemented in other ways. For example, the device / terminal embodiments described above are merely illustrative. For example, the division of the modules or units is merely a logical functional division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interface, indirect coupling or communication connection of devices or units, and can be electrical, mechanical, or other forms.

[0068] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0069] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0070] If the integrated module / 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 this understanding, the present invention implements all or part of the process in the above-mentioned embodiment method, and can also be completed by instructing the 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, it can implement the steps of the above-mentioned various method embodiments. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0071] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices, and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0072] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0073] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0074] The above content is only for explaining the technical idea of ​​the present invention and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution in accordance with the technical idea proposed by the present invention shall fall within the protection scope of the claims of the present invention.

Claims

1. A distribution network line impedance analysis and identification method based on measurement data, characterized in that: The following steps are involved: S1, the connection relationship between the nodes of the input distribution network; S2. According to the connection relationship of each node in the distribution network, the nodes are sorted according to the number of nodes separated from the head-end node; S3, Import Time and , The voltage amplitude and power information of each node in the distribution network at the moment, and let ; S4, computing nodes With Node Line impedance and power loss between S5. Judgment Is it 1? , then let , and go to step S4; otherwise, output The impedance parameters of the distribution network line at the time .

2. The distribution network line impedance analysis and identification method based on measurement data according to claim 1 is characterized in that: In step S1, for the distribution network node set Any node in , there is a unique node , so that , is the total number of nodes, the superscript Represents the previous node; let the set .

3. The distribution network line impedance analysis and identification method based on measurement data according to claim 1 is characterized in that: In step S2, the set The nodes in the set calculate the number of nodes between them and the first node in turn, and get the set , for the set The array in Sort the sizes from small to large, and get a new set after sorting ,at this time .

4. The distribution network line impedance analysis and identification method based on measurement data according to claim 3 is characterized in that: Will gather The number of nodes between the nodes in and the head end node is calculated in sequence as follows: S201. For any node ,make , initial count ;like , proceed to step S204; S202, Order , ; S203. Judgment Is it 1? , then let , proceed to step S202; S204, Output , which is the node The number of nodes between the first and last nodes.

5. The distribution network line impedance analysis and identification method based on measurement data according to claim 1 is characterized in that: Step S4 is specifically as follows: Lian Li , , Time Node With Node The voltage relationship equation of For Node When performing the above calculation, the square of the modulus of both sides of the voltage relationship equation is taken and the terms are shifted and combined to obtain the equations of the three circles in the plane rectangular coordinate system. The intersection of the three circles is the node With Node Inter-resistance With inductor Analytical solution of .

6. The distribution network line impedance analysis and identification method based on measurement data according to claim 5 is characterized in that: , , Time Node With Node The voltage relationship equation of in, for Time Node The voltage value, For Line The line impedance, for Timeline Depend on The line power at the end.

7. The method for analyzing and identifying the impedance of a distribution network line based on measurement data according to claim 6, characterized in that: Timeline Depend on Line power at the end The calculation is as follows: in, express Time Node The monitored power value, Indicates line Power loss in line impedance.

8. The distribution network line impedance analysis and identification method based on measurement data according to claim 7 is characterized in that: line Power loss in line impedance The calculation is as follows: in, for Time Node The voltage value, For Line The line impedance, for Timeline Depend on The line power at the end.

9. The method for analyzing and identifying line impedance of a distribution network based on measurement data according to claim 5, characterized in that: The equations of the three circles in the plane rectangular coordinate system are as follows: in, For Line The line resistance value, for Time Node The square of the voltage amplitude, for Timeline Depend on The active power of the line at the end, for Timeline Depend on The line reactive power at the end, for Timeline Depend on The square of the apparent power of the line at the end, For Line The line inductance value, for Time Node The square of the voltage magnitude.

10. A distribution network line impedance analysis and identification system based on measurement data, characterized in that: include: Input module, inputs the connection relationship between nodes of the distribution network; The sorting module sorts the nodes according to the number of nodes separated from the head-end node according to the connection relationship of each node in the distribution network; Import module, import Time and , The voltage amplitude and power information of each node in the distribution network at the moment, and let ; Computing module, computing node With Node Line impedance and power loss between Output module, judgment Is it 1? , then let , and enter the calculation module; otherwise, output The impedance parameters of the distribution network line at the time .

Images