A method and system for automatic identification of the topology of medium and low voltage distribution networks

Abstract

This invention relates to an automatic identification method and system for the topology of medium- and low-voltage distribution networks, belonging to the technical field of medium- and low-voltage distribution networks. First, it acquires the three-phase power signals and power frequency distortion communication signals of the medium- and low-voltage distribution network equipment; then, it acquires the equipment information of the medium- and low-voltage distribution network; next, it acquires the equipment connection relationship identification rules set by the master station; based on the three-phase power signals and power frequency distortion communication signals, it identifies the connection relationships of each device using the identification rules; finally, it obtains the topology of the medium- and low-voltage distribution network based on the connection relationships and equipment information. This invention utilizes equipment connection relationship identification rules to identify the connection relationships of equipment, thereby completing information transmission and achieving the purpose of distribution network topology identification. Because it identifies the topology of the medium- and low-voltage distribution network based on the connection relationships of each line, it eliminates the disadvantage of information not being interconnected, achieves the goal of full network topology identification, and effectively improves the accuracy of topology identification.

Description

Technical Field

[0001] This invention relates to the field of medium and low voltage distribution network technology, and in particular to an automatic identification method and system for the topology of medium and low voltage distribution networks that takes into account bidirectional loads. Background Technology

[0002] The power distribution network mainly includes medium-voltage and low-voltage distribution networks. Medium-voltage distribution networks have voltage levels including 20kV, 10kV, and 6kV, while low-voltage distribution networks primarily operate at 400V. The medium-voltage distribution network connects to the low-voltage distribution network via distribution transformers. The primary network of the distribution network includes overhead lines, cable lines, and mixed lines. Key nodes on the network include substations connected to the transmission network, various distribution switches, ring switches, switching stations, transformers, low-voltage branch boxes, and user access points (electricity meters). Medium and low-voltage distribution networks are large in scale, numerous in points, and widely distributed, making equipment and network data maintenance and management complex. Medium and low-voltage topology identification is a crucial foundation for smart grid construction. Its most important function is to accurately identify distribution transformers, medium and low-voltage lines, and their phase sequences, clarifying their connection relationships. This provides an effective data foundation for power grid system operation control, intelligent user electricity consumption, and two-way interactive connections.

[0003] Currently, the commonly used methods for topology identification of distribution networks are to use GPS positioning technology to identify the topology of medium and low voltage distribution networks separately, or to use manual point-by-point data collection. However, the structure of medium and low voltage distribution networks is very complex and cannot be well integrated with GPS positioning technology, resulting in incomplete power grid information; while the manual point-by-point data collection method is also costly.

[0004] Therefore, there is an urgent need in this field for a technical method that has high recognition accuracy and low cost. Summary of the Invention

[0005] The purpose of this invention is to provide an automatic identification method and system for the topology of medium and low voltage distribution networks. Based on the connection relationships of the lines, the topology of the medium and low voltage distribution network is identified, achieving the goal of topology identification of the entire network. This effectively improves the accuracy of topology identification and eliminates the need for manual point-by-point data collection, thus reducing costs.

[0006] To achieve the above objectives, the present invention provides the following solution:

[0007] An automatic identification method for the topology of medium and low voltage distribution networks, the method comprising:

[0008] Acquire the three-phase power signals and power frequency distortion communication signals of medium and low voltage power distribution network equipment;

[0009] Obtain equipment information for medium and low voltage power distribution networks;

[0010] Obtain the device connection relationship identification rules set by the main station;

[0011] The connection relationships of each device are identified using the device connection relationship identification rules based on the three-phase power signal and the power frequency distortion communication signal.

[0012] The low- and medium-voltage power distribution network topology is obtained based on the connection relationships of the various devices and the device information.

[0013] In some embodiments, acquiring the three-phase power signal and power frequency distortion communication signal of the medium- and low-voltage distribution network equipment specifically includes:

[0014] Three-phase power signals are acquired using the three-phase power signal demodulation channel of the power line sensing module;

[0015] Power frequency distortion communication signals are acquired using the power frequency distortion communication signal demodulation channel of the power line sensing module.

[0016] In some embodiments, the power line sensing module is integrated into the equipment of a medium- or low-voltage power distribution network.

[0017] In some embodiments, the three-phase power signal includes: a fundamental power line signal and a medium- and low-frequency power line signal.

[0018] In some embodiments, the power frequency distortion communication signal is a power line communication signal that uses minute distortions in voltage and current waveforms to carry information.

[0019] In some embodiments, after acquiring the three-phase power signals of the medium- and low-voltage distribution network equipment, the method further includes:

[0020] Obtain user load feedback information;

[0021] A mathematical model is established based on the three-phase power signals and the user load feedback information to establish the relationship between load interruption time and user load response.

[0022] In some embodiments, the mathematical model between the load interruption time and the user load response is as follows:

[0023]

[0024] Where F1 is the interruptible load dispatching compensation cost of the dispatching agency, F2 represents the user response cost, N represents the number of users, T represents the number of time periods, and x(i,t) is the interruption status of user i at time t, x(i,t) = 0 indicates that the user is not interrupted, and x(i,t) = 1 indicates that the user is interrupted; C p (i,t) represents the load interruption arrangement for user i at time t in the scheduling task; C U(i,t) represents the actual interruption amount of the user's response to the scheduling task; d is the interruption compensation unit price of the user; V(i) represents the economic value of electricity for user i.

[0025] The present invention also provides an automatic identification system for the topology of medium and low voltage distribution networks, the system comprising:

[0026] The signal acquisition module is used to acquire the three-phase power signals and power frequency distortion communication signals of medium and low voltage power distribution network equipment.

[0027] The equipment information acquisition module is used to acquire equipment information of medium and low voltage power distribution networks;

[0028] The identification rule acquisition module is used to acquire the device connection relationship identification rules set by the main station;

[0029] The connection relationship identification module is used to identify the connection relationship of each device based on the three-phase power signal and the power frequency distortion communication signal using the device connection relationship identification rules.

[0030] The topology identification module is used to obtain the topology of the medium and low voltage distribution network based on the connection relationship of each device and the device information.

[0031] In some embodiments, the signal acquisition module includes: a power line sensing module;

[0032] The power line sensing module includes: a three-phase power signal demodulation channel and a power frequency distortion communication signal demodulation channel;

[0033] The three-phase power signal demodulation channel is used to acquire three-phase power signals;

[0034] The power frequency distortion communication signal demodulation channel is used to acquire power frequency distortion communication signals.

[0035] In some embodiments, it also includes:

[0036] The user load feedback acquisition module is used to acquire user load feedback information;

[0037] The mathematical model building module is used to establish a mathematical model between load interruption time and user load response based on the three-phase power signals and the user load feedback information.

[0038] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0039] This invention provides an automatic identification method and system for the topology of medium- and low-voltage distribution networks. First, it acquires the three-phase power signals and power frequency distortion communication signals of the medium- and low-voltage distribution network equipment. Then, it acquires the equipment information of the medium- and low-voltage distribution network. Next, it acquires the equipment connection relationship identification rules set by the master station. Based on the three-phase power signals and power frequency distortion communication signals, it identifies the connection relationships of each device using the equipment connection relationship identification rules. Finally, it obtains the topology of the medium- and low-voltage distribution network based on the connection relationships of each device and the equipment information. This invention utilizes the equipment connection relationship identification rules set by the master station to identify the connection relationships of each device, thereby completing information transmission and achieving the purpose of distribution network topology identification. Because it identifies the topology of the medium- and low-voltage distribution network based on the connection relationships of each line, it achieves the goal of identifying the entire network topology, effectively improving the accuracy of topology identification. At the same time, it eliminates the need for manual point-by-point data collection, reducing costs. Attached Figure Description

[0040] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 The flowchart is a method for automatic identification of the topology of a medium- and low-voltage distribution network provided in Embodiment 1 of the present invention.

[0042] Figure 2 This is a block diagram of an automatic identification system for the topology of a medium- and low-voltage distribution network provided in Embodiment 2 of the present invention.

[0043] Figure 3 The flowchart is provided in Embodiment 3 of the present invention for an automatic identification method of medium and low voltage distribution network topology considering bidirectional loads.

[0044] Figure 4 This is a flowchart of the system information identification process provided in Embodiment 3 of the present invention.

[0045] Figure 5 This is a structural diagram of an automatic topology identification system for medium and low voltage distribution networks that takes into account bidirectional loads, provided in Embodiment 4 of the present invention.

[0046] Figure 6 This is a schematic diagram of the system terminal and main station structure provided in Embodiment 4 of the present invention. Detailed Implementation

[0047] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0048] The power distribution network mainly includes medium-voltage and low-voltage distribution networks. Medium-voltage distribution networks have voltage levels including 20kV, 10kV, and 6kV, while low-voltage distribution networks primarily operate at 400V. The medium-voltage distribution network connects to the low-voltage distribution network via distribution transformers. The primary network of the distribution network includes overhead lines, cable lines, and mixed lines. Key nodes on the network include substations connected to the transmission network, various distribution switches, ring switches, switching stations, transformers, low-voltage branch boxes, and user access points (electricity meters). Medium and low-voltage distribution networks are large in scale, numerous in points, and widely distributed, making equipment and network data maintenance and management complex. Medium and low-voltage topology identification is a crucial foundation for smart grid construction. Its most important function is to accurately identify distribution transformers, medium and low-voltage lines, and their phase sequences, clarifying their connection relationships. This provides an effective data foundation for power grid system operation control, intelligent user electricity consumption, and two-way interactive connections. For a long time, the following problems have existed in medium and low voltage distribution networks: 1) The types and quantities of user terminal equipment are complex and there is no unified standard; 2) The level of automation is low and the wiring is unclear, making it difficult for operators to manage and control equipment; 3) Faults are mainly diagnosed manually, resulting in low work efficiency and a lack of overall automated control; 4) There is a lack of two-way information exchange with user terminals, leading to low power efficiency of the system. Currently, commonly used methods for distribution network topology identification include: 1) using GPS positioning technology to identify the topology of medium and low voltage distribution networks separately, but because medium and low voltage distribution networks cannot be interconnected, the network information is incomplete; 2) using impedance measurement methods or manual point-by-point data collection, which has low accuracy and high cost; 3) using power line carrier communication technology to obtain distribution network topology information, which is relatively simple but has low stability. Furthermore, with the continuous increase in urban load density, the pressure on distribution networks is constantly increasing. As one of the important indicators of distribution network construction level and distribution system efficiency, TSC (Transmission Control System) is facing higher requirements.

[0049] The purpose of this invention is to provide an automatic identification method and system for the topology of medium and low voltage distribution networks. Based on the connection relationship of each line, the topology of the medium and low voltage distribution network is identified, thereby eliminating the disadvantage of information not being shared, achieving the goal of topology identification of the entire network, effectively improving the accuracy of topology identification, and at the same time eliminating the need for manual point-by-point data collection, thus reducing costs.

[0050] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0051] Example 1:

[0052] like Figure 1 As shown in the figure, this embodiment provides an automatic identification method for the topology of medium and low voltage distribution networks. The method includes:

[0053] S1. Acquire the three-phase power signals and power frequency distortion communication signals of medium and low voltage power distribution network equipment.

[0054] Three-phase power signals and power frequency distortion signals are collected using power line sensing modules integrated inside equipment in medium and low voltage power distribution networks; the power line sensing modules are located inside each piece of equipment, thereby obtaining the three-phase power information of each piece of equipment.

[0055] During signal acquisition: the three-phase power signal demodulation channel of the power line sensor module is used to acquire the three-phase power signal; the power frequency distortion signal demodulation channel of the power line sensor module is used to acquire the power frequency distortion signal.

[0056] Power frequency distortion (PFD) signaling refers to a special type of power line communication that uses slight distortions in the voltage and current waveforms of the power grid near the zero-crossing point of the 50Hz voltage to carry information. The signal can directly penetrate the distribution transformer, establishing a direct communication link between the substation and low-voltage users; it is also called power frequency distortion communication signaling. Three-phase power signals include fundamental power line signals and medium- and low-frequency power line signals. The fundamental power line signal refers to the frequency of the periodically changing voltage or current in the power network, also known as the primary wave. In my country, a 50Hz power signal is defined as the fundamental signal. The medium- and low-frequency power line signals mentioned above are the power signals transmitted in the medium- and low-voltage distribution network.

[0057] S2. Obtain equipment information for medium and low voltage power distribution networks.

[0058] S3. Obtain the device connection relationship identification rules set by the main station;

[0059] S4. Identify the connection relationship of each device using the device connection relationship identification rules based on the three-phase power signal and the power frequency distortion communication signal.

[0060] In this embodiment, the three-phase power signal and the power frequency distortion communication signal are analyzed to identify the connection relationship between the devices.

[0061] First, the device connection relationship identification rule command set by the main station is obtained. In this embodiment, the device connection relationship identification rule specifically refers to the identification rule for obtaining the connection relationship between devices through the two signals collected above.

[0062] According to the connection relationship identification rules command obtained by the master station, the equipment and connection relationships of all substations under the master station are analyzed based on the three-phase power signals and power frequency distortion communication signals. That is, the equipment connection relationship analysis is performed through the above connection relationship identification rules, with only one master station, and the analysis is based on all signals received by the master station.

[0063] S5. Obtain the medium and low voltage power distribution network topology based on the connection relationship of each device and the device information.

[0064] As an optional implementation, this embodiment further includes, after acquiring the three-phase power signal of the medium- and low-voltage distribution network equipment:

[0065] Obtaining user load feedback information. User load feedback information refers to the feedback information provided by users during the process of load reduction or load transfer as required by the power supply company. This information is collected by the dispatching agency through pre-signed response contracts with users, gathering feedback information on load reduction, transfer, etc.

[0066] A mathematical model is established based on the three-phase power signals and the user load feedback information to establish the relationship between load interruption time and user load response.

[0067] The mathematical model between the load interruption time and the user load response is as follows:

[0068]

[0069] Where F1 is the interruptible load dispatching compensation cost of the dispatching agency, F2 represents the user response cost, N represents the number of users, T represents the number of time periods, and x(i,t) is the interruption status of user i at time t, where x(i,t) = 0 indicates that the user load is not interrupted, and x(i,t) = 1 indicates that the user load is interrupted; C p (i,t) represents the load interruption arrangement for user i at time t in the scheduling task; C U (i,t) represents the actual load interruption amount in response to the user's dispatch task; d is the user's load interruption compensation unit price; V(i) represents the economic value of electricity for user i. This information is obtained through user load feedback. The two formulas act as constraints, with F1 and F2 each taking their minimum value for optimal performance. Analysis can determine F1 and F2 under different values ​​of d. This yields a quantitative relationship between TSC (maximum power supply capacity) under different values ​​of d, and also provides a reference for determining d.

[0070] The above model is used to analyze the distribution of TSC (Total Distance Response Cost) under different demand response costs (i.e., interruption compensation unit price mentioned above) d. Generally, the higher the demand response cost and the deeper the demand response, the larger the TSC. However, TSC cannot increase indefinitely and is also constrained by the sustainable power interruption time. The analysis process involves inputting the collected user load response cost information into the model to obtain the TSC distribution under different response cost constraints, and to obtain the quantitative relationship between them, thus enabling quantitative analysis. After obtaining the quantitative relationship, the changes in demand response cost, user feedback load, sustainable power interruption time, and TSC can be obtained, thus providing new considerations for the formulation of response costs and user feedback load levels, and also providing certain optimization references for improving the power supply capacity of medium and low voltage distribution networks. Under the current user-side load feedback information in the medium and low voltage distribution network topology, the relationship between d and TSC can be quantified through the above mathematical model, providing optimization guidance for the medium and low voltage distribution network structure from the perspective of user-side economics. Automatic identification of medium and low voltage distribution network topology considering bidirectional loads means using the TSC capacity pattern obtained from user feedback load as a factor in evaluating the efficiency of electrical equipment in medium and low voltage distribution networks, which can provide a reference for optimizing medium and low voltage topology.

[0071] This embodiment provides an automatic identification method for the topology of medium- and low-voltage distribution networks. The method mainly includes: collecting three-phase power signals and power frequency distortion signals using power line sensing modules integrated within the equipment of the medium- and low-voltage distribution network; analyzing the three-phase power signals and power frequency distortion signals to identify the connection relationships between equipment; sending the identification and analysis results to a master station, which then obtains the topology of the medium- and low-voltage distribution network by analyzing the connection relationships and equipment information; and establishing a bidirectional load TSC (Total Power Supply Capacity) model to analyze the distribution network's power supply TSC distribution. This embodiment improves identification accuracy by analyzing the signals collected from the power line sensing module through the master station, and the establishment of a bidirectional load TSC model and analysis of TSC distribution provide a reference for further improving the utilization rate of power distribution equipment and tapping the power supply potential of the power grid. The method is practical and has certain reference value.

[0072] Example 2:

[0073] like Figure 2 As shown in the figure, this embodiment provides an automatic identification system for the topology of medium and low voltage distribution networks. The system includes:

[0074] The signal acquisition module M1 is used to acquire the three-phase power signals and power frequency distortion communication signals of medium and low voltage power distribution network equipment.

[0075] The equipment information acquisition module M2 is used to acquire equipment information of medium and low voltage power distribution networks;

[0076] The identification rule acquisition module M3 is used to acquire the device connection relationship identification rules set by the main station;

[0077] The connection relationship identification module M4 is used to identify the connection relationship of each device based on the three-phase power signal and the power frequency distortion communication signal using the device connection relationship identification rules.

[0078] The topology identification module M5 is used to obtain the topology of the medium and low voltage distribution network based on the connection relationship of each device and the device information.

[0079] The signal acquisition module M2 includes: a power line sensing module;

[0080] The power line sensing module includes: a three-phase power signal demodulation channel and a power frequency distortion communication signal demodulation channel;

[0081] The three-phase power signal demodulation channel is used to acquire three-phase power signals;

[0082] The power frequency distortion communication signal demodulation channel is used to acquire power frequency distortion communication signals.

[0083] As an optional implementation, the automatic identification system for medium and low voltage distribution network topology provided in this embodiment further includes:

[0084] The user load feedback acquisition module is used to acquire user load feedback information.

[0085] The mathematical model building module is used to establish a mathematical model between load interruption time and user load response based on the three-phase power signals and the user load feedback information.

[0086] Example 3:

[0087] Reference Figure 3 This embodiment provides an automatic identification method for medium- and low-voltage distribution network topology considering bidirectional loads, including the following specific steps:

[0088] S1: Utilize power line sensing modules integrated within equipment in the medium- and low-voltage power distribution network to collect three-phase power signals and power frequency distortion signals. Each power line sensing module is located within a single device and needs to acquire the three-phase power information for that device.

[0089] Furthermore, S1 specifically includes:

[0090] S11: Use the three-phase power signal demodulation channel of the power line sensing module to acquire three-phase power signals.

[0091] S12: Use the power frequency distortion signal demodulation channel of the power line sensing module to acquire power frequency distortion signals. Power frequency distortion signals refer to power frequency waveform distortion generated near the zero-crossing point of the power frequency (50Hz) voltage. It is a special power line communication method that uses the small distortions of the grid voltage and current waveforms to carry information. The signal can directly penetrate the distribution transformer and establish a direct communication link between the substation and low-voltage users. It is also called power frequency distortion communication signal.

[0092] S13: The power line sensing module includes a three-phase power demodulation channel and a power frequency distortion signal demodulation channel, which respectively acquire corresponding signals; the three-phase power signals include fundamental power line signals and medium-low frequency power line signals. The fundamental signal is the frequency of the periodically changing voltage or current in the power network, also known as the primary wave. In my country, a power signal with a frequency of 50Hz is defined as the fundamental signal.

[0093] S2: Analyze three-phase power signals and power frequency distortion signals to identify the connection relationships between devices.

[0094] Furthermore, S2 specifically includes:

[0095] S21: First, obtain the command for identifying device connection relationships set by the master station. Specifically, the device connection relationship identification rules refer to the rules for identifying the connection relationships between devices obtained through the two power signals collected above.

[0096] S22: Following the connection relationship identification rule command obtained by the master station, the master station feeds back the feedback line information of all subordinate substations to the system. The feedback line information consists of the two signals collected in step S1.

[0097] S23: The system receives all feedback line information from the master station and analyzes its devices and connection relationships. That is, it analyzes device connection relationships using the connection relationship identification rules described above. There is only one master station, and the system receives all feedback line signals from the master station.

[0098] S24: The system determines all the above-mentioned acquired signal line information. The system confirms receipt of all feedback line signals and the connection relationship results analyzed based on the feedback line signals.

[0099] S3: Send the identification and analysis results (the results of step S23) to the master station. The master station obtains the topology of the medium and low voltage distribution network by analyzing the connection relationships and equipment information.

[0100] Furthermore, S3 specifically includes:

[0101] S31: The system returns the acquired signal line information determined by the above analysis to the main station.

[0102] S32: The master station obtains information on the topology of the medium and low voltage distribution network.

[0103] Reference Figure 4 In this embodiment, the main station further explains the system information recognition flowchart as follows:

[0104] The system returns the collected signal line information determined by the above analysis to the main station, which then performs further analysis to obtain the topology information of the medium and low voltage distribution network.

[0105] S4: The system acquires user load feedback information and establishes a bidirectional load TSC (Total Power Supply Capacity) model to analyze the distribution network's power supply TSC distribution. User load feedback refers to the process by which users reduce or transfer load according to the power company's requirements. The duration of continuous power outage is a key factor related to user load response costs, and the load response model for the duration of continuous power outage is a mathematical model that establishes the correspondence between these two factors.

[0106] S41: The system first obtains relevant feedback information on load reduction, transfer, or power transmission to the grid by users in response contracts signed in advance between the dispatching agency and the users.

[0107] S42: The system establishes a load response model based on three-phase power signals and user load feedback to determine the duration of continuous power outages.

[0108]

[0109] In the above formula: F1 represents the interruptible load dispatching compensation cost of the dispatching agency; F2 represents the user response cost; N represents the number of users; T represents the number of time periods; x(i,t) represents the interruption status of user i at time t, where x(i,t) = 0 indicates no interruption and x(i,t) = 1 indicates an interruption; Cp(i,t) represents the load interruption amount arranged by the dispatching task for user i at time t; CU(i,t) represents the actual interruption amount of the user responding to the dispatching task; d is the interruption compensation unit price for the user; and V(i) represents the electricity economic value of user i. This information is recorded through user load feedback. The two formulas are equivalent to constraints, with F1 and F2 each taking their minimum value for optimal performance. Analysis can determine F1 and F2 under different values ​​of d. This yields a quantitative relationship between TSC capabilities under different values ​​of d and provides a reference for determining d.

[0110] S43: Analyze the TSC distribution under different response cost d (the cost that users need to compensate for when their load is interrupted in a short period of time) constraints through model analysis.

[0111] Generally speaking, the higher the demand response cost and the deeper the demand response, the larger the TSC (Total Response Cost). However, the TSC cannot increase indefinitely and is also constrained by the duration of power outages. The analysis process involves inputting the collected user load response cost information into the model to obtain the TSC distribution under different response cost constraints, and to obtain the quantitative relationship between them, thereby conducting quantitative analysis.

[0112] Once the quantitative relationship is obtained, the changes in response cost, user feedback load, and sustained power outage time with TSC can be derived. This provides new considerations for determining response cost and user feedback load levels, and can also provide some optimization reference for improving the power supply capacity of medium and low voltage distribution networks. Automatic topology identification of medium and low voltage distribution networks considering bidirectional loads uses the TSC capacity pattern obtained based on user feedback load as a factor in evaluating the efficiency of electrical equipment in medium and low voltage distribution networks, which can provide a reference for optimizing medium and low voltage topology structures.

[0113] S44: The analysis results serve as a reference standard, providing valuable insights for further improving the efficiency of the power distribution structure. Under the current user-side load feedback information in the medium- and low-voltage power distribution network topology, the relationship between d and TSC can be quantified through a load response model based on the load's sustainable interruption time, providing optimization guidance for the medium- and low-voltage power distribution network structure from the perspective of user-side economics.

[0114] Example 4:

[0115] like Figure 5 As shown, the present invention provides an automatic topology identification system for medium and low voltage distribution networks that considers bidirectional loads, specifically comprising:

[0116] The power line sensing module, integrated inside the equipment of the medium and low voltage power distribution network, is used to collect three-phase power signals and power frequency distortion signals.

[0117] The connection relationship identification module is used to analyze three-phase power signals and power frequency distortion signals to identify the connection relationships between devices.

[0118] The information transmission module is used to send the identification and analysis results to the master station. The master station obtains the topology of the medium and low voltage distribution network by analyzing the connection relationship and equipment information.

[0119] The TSC analysis module is used to establish a bidirectional load TSC (maximum power supply capacity) model for the system and analyze the distribution of power supply TSC in the distribution network.

[0120] Preferably, the power line sensing module integrated within the equipment of the medium- and low-voltage power distribution network specifically includes:

[0121] The system uses the three-phase power signal demodulation channel of the power line sensing module to acquire three-phase power signals;

[0122] The system uses the power frequency distortion signal demodulation channel of the power line sensor module to acquire power frequency distortion signals;

[0123] The power line sensing module includes a three-phase power demodulation channel and a power frequency distortion signal demodulation channel to collect corresponding signals respectively.

[0124] Three-phase power signals include fundamental power line signals and medium- and low-frequency power line signals.

[0125] Preferably, the connection relationship identification module specifically includes:

[0126] The rule recognition unit is used by the system to first obtain the device connection relationship recognition rule command set by the master station;

[0127] The signal feedback unit, according to the connection relationship identification rules command obtained by the master station, sends the feedback line information of all subordinate substations back to the system from the master station; the system terminal and master station structure diagram is shown below. Figure 6 As shown.

[0128] The signal analysis unit receives all feedback line information from the master station and analyzes its equipment and connection relationships.

[0129] The signal output unit determines all the information of the aforementioned acquired signal lines.

[0130] Preferably, the information transmission module specifically includes:

[0131] The information receiving unit is used by the system to send the identification and analysis results to the main station, and the main station receives the signal.

[0132] The master station signal analysis unit is used by the master station to obtain the topology of the medium and low voltage distribution network by analyzing the connection relationship and equipment information.

[0133] Preferably, the TSC analysis module specifically includes:

[0134] The model building unit is used to establish a bidirectional load TSC (maximum power supply capacity) model for the system;

[0135] The TSC distribution analysis unit is used to analyze the distribution of power supply TSCs in the distribution network.

[0136] The power line sensing module integrated into the equipment of the medium and low voltage power distribution network of the present invention acquires signals from any one of the feeder terminal unit, medium and low voltage terminal unit, smart energy meter and indicator.

[0137] This invention is described with reference to the flow of the methods, apparatus (systems), and computer program products according to this embodiment. It can provide computer program instructions to a computer to implement one or more flow functions in the current flowchart. The computer program, which can be stored in a computer-readable and writable memory, includes program instructions that, when executed by a processor, implement all or part of the flows in the methods of the above embodiments. It can also instruct related hardware to implement these flows. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content contained in computer-readable media may be appropriately added to or subtracted from the requirements of legislation and patent practice in a jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media may not include electrical carrier signals and telecommunication signals.

[0138] The computer-readable storage medium can be an internal storage unit of the terminal in any of the foregoing embodiments, such as the terminal's hard disk or memory. The computer-readable storage medium can also be an external storage device of the terminal, such as a plug-in hard disk, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the terminal. Furthermore, the computer-readable storage medium can include both internal storage units and external storage devices of the terminal. The computer-readable storage medium is used to store computer programs and other programs and data required by the terminal. The computer-readable storage medium can also be used to temporarily store data that has been output or will be output.

[0139] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0140] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the terminals and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0141] In the several embodiments provided in this application, it should be understood that the disclosed terminals and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices or units, or it may be an electrical, mechanical or other form of connection.

[0142] The units described as separate components may or may not be physically separate. 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 the units can be selected to achieve the purpose of the embodiments of the present invention, depending on actual needs.

[0143] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0144] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the systems disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple; relevant parts can be referred to the method section.

[0145] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for automatic identification of the topology of medium and low voltage distribution networks, characterized in that, The method includes: Acquire the three-phase power signals and power frequency distortion communication signals of medium and low voltage power distribution network equipment; Obtain equipment information for medium and low voltage power distribution networks; Obtain the device connection relationship identification rules set by the main station; The connection relationships of each device are identified using the device connection relationship identification rules based on the three-phase power signal and the power frequency distortion communication signal. The topology of the medium- and low-voltage power distribution network is obtained based on the connection relationships of the various devices and the device information. The three-phase power signals include: fundamental power line signals and medium- and low-frequency power line signals; The power frequency distortion communication signal is a power line communication signal that uses minute distortions in voltage and current waveforms to carry information. After acquiring the three-phase power signals of the medium- and low-voltage distribution network equipment, the method further includes: Obtain user load feedback information; A mathematical model between load interruption time and user load response is established based on the three-phase power signals and the user load feedback information. The mathematical model between the load interruption time and the user load response is as follows: ； in, F 1 represents the compensation cost for interruptible load dispatching by the dispatching agency. F 2 represents the user response cost. N Represents the number of users. T Represents the number of time periods. x (i,t) represents user i in... t Interruption state at any moment x (i,t)=0 indicates that the user did not interrupt the process. x (i,t)=1 indicates a user interruption; C p (i,t) represents the scheduling task for user i in... t Arrangements for load interruptions at specific times; C U (i,t) represents the actual number of interrupts in the user's response to the scheduled task; d The unit price for user interruption compensation; V (i) represents the economic value of electricity for user i.

2. The method for automatic identification of medium and low voltage distribution network topology according to claim 1, characterized in that, The acquisition of three-phase power signals and power frequency distortion communication signals from medium and low voltage distribution network equipment specifically includes: Three-phase power signals are acquired using the three-phase power signal demodulation channel of the power line sensing module; Power frequency distortion communication signals are acquired using the power frequency distortion communication signal demodulation channel of the power line sensing module.

3. The method for automatic identification of medium and low voltage distribution network topology according to claim 2, characterized in that, The power line sensing module is integrated into the equipment of the medium and low voltage power distribution network.

4. An automatic identification system for the topology of medium and low voltage distribution networks, characterized in that, The system is used to implement the automatic identification method for medium and low voltage distribution network topology as described in claim 1, and the system includes: The signal acquisition module is used to acquire the three-phase power signals and power frequency distortion communication signals of medium and low voltage power distribution network equipment. The equipment information acquisition module is used to acquire equipment information of medium and low voltage power distribution networks; The identification rule acquisition module is used to acquire the device connection relationship identification rules set by the main station; The connection relationship identification module is used to identify the connection relationship of each device based on the three-phase power signal and the power frequency distortion communication signal using the device connection relationship identification rules. The topology identification module is used to obtain the topology of the medium and low voltage distribution network based on the connection relationship of each device and the device information.

5. The automatic identification system for medium and low voltage distribution network topology according to claim 4, characterized in that, The signal acquisition module includes: a power line sensing module; The power line sensing module includes: a three-phase power signal demodulation channel and a power frequency distortion communication signal demodulation channel; The three-phase power signal demodulation channel is used to acquire three-phase power signals; The power frequency distortion communication signal demodulation channel is used to acquire power frequency distortion communication signals.

6. The automatic identification system for medium and low voltage distribution network topology according to claim 4, characterized in that, Also includes: The user load feedback acquisition module is used to acquire user load feedback information; The mathematical model building module is used to establish a mathematical model between load interruption time and user load response based on the three-phase power signals and the user load feedback information.

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