445 results about "Topology identification" patented technology

A wireless mesh network has a plurality of nodes. One of the nodes, referred to as a “topology building node,” is configured to discover a topology of the network. In this regard, a multicast topology message is transmitted via at least one node of the network. Each node that receive such message transmits a topology multicast reply to the topology building node which adds the transmitting node to the topology if the transmitting node is not already identified by the topology. Upon adding a node to the topology, the topology building node transmits a topology multicast command to the added node thereby causing such node to transmit a multicast topology message. Accordingly, the topology eventually receives a topology multicast reply from each node of the network allowing such node to build a complete topology of the network.

A statistical technique is used to estimate the status of switching devices (such as circuit breakers, isolator switches and fuses) in distribution networks, using scares (i.e., limited or non-redundant) measurements. Using expected values of power consumption, and their variance, the confidence level of identifying the correct topology, or the current status of switching devices, is calculated using any given configuration of real time measurements. Different topologies are then compared in order to select the most likely topology at the prevailing time. The measurements are assumed as normally distributed random variables, and the maximum likelihood principle or a support vector machine is applied.

The invention discloses a dynamic recognition method for intelligent substation network device topology based on MAC address matching. The method includes the steps that an corresponding relation table between the IP address / multicasting address of an intelligent electronic device (IED) and the name of the IED is obtained through analyzing an intelligent substation configuration file (SCD), and a corresponding relation table between the IP address / multicasting address of the IED and an MAC address is obtained through analyzing a section data message; an MAC address forwarding table of a switch is obtained through a simple network management protocol (SNMP); the MAC address serving as a foreign key is matched with the two-dimensional table to generate a switch port-IED name table, so that topology recognition of the switch and the connected IED is finished, and graphic displaying is performed. Based on a common topology search method of the switch, the method achieves dynamic recognition of IED topology in a network and helps the operation management level of the intelligent substation network to be improved.

The invention discloses an automatic identification method for the topology of a low-voltage transformer area, belongs to the field of distribution automation in power systems, is applied to power distribution area monitoring and is realized based on a low-voltage power supply network. A branch terminal is arranged in a power distribution box in the power supply network, and the branch terminal collects feature information of an incoming line and an outgoing line in the power distribution box and transmits the feature information to an upper computer through a communication channel; and the upper computer automatically identifies area topology by utilizing correlation analysis according to the feature information. The invention has the beneficial effects that the topological relation between the transformer area distribution boxes is analyzed by utilizing the correlation, so that the reliability and the accuracy of judging the transformer area network topology are improved; incoming lines and outgoing lines of the distribution box are characteristic information acquisition points, and a plurality of pieces of characteristic information are acquired; the robustness is high, the influence of abnormal data can be effectively reduced, and the topology identification accuracy is improved; no influence is caused on a power grid and a user, and the safety is high.

The system and method of station area topology identification based on power line broadband carrier (HPLC) relate to a distribution transformer station area network topology identification technology,in particular to a method of distribution network topology automatic identification system using power line broadband carrier (HPLC) as a communication means, which is used for automatic identification of station area topology. The system consists of a signal transmitting device and a signal receiving terminal. The signal transmitting device includes a power line broadband carrier (HPLC) communication module installed at the root of the transformer. The signal receiving terminal has built-in trap to block the 50Hz signal, and has a unique ID code for the whole network through the specific frequency signal, and is installed at the inlet or outlet terminal of the branch box and the meter box. The signal transmitting device first obtains the ID codes of all signal receiving terminals, transmits signals, controls the states of the signal receiving terminals, detects the current direction, automatically identifies the parent nodes of each branch box and the meter box according to the current direction, and thus obtains the topology diagram of the whole station area. In the implementation process of the invention, the terminal device does not need to be configured with parameters, the HPLC is used as a communication means, no extra wiring is needed, the communication advantage of the HPLC is fully utilized, and the identification process is realized quickly and accurately.

The invention relates to an electrical topology identification system of a low-voltage court and a working method thereof. At present, short-time short circuit occurrence between a phase line and a midcourt line is employed based on the existing court identification principle and thus voltage zero-crossing signal modulation is realized; however, a problem of the court faulted power interruption orequipment burning caused by the long-time short-circuit risk of the phase line and the midcourt line is caused. The system is composed of a collecting unit and a distribution unit. The collecting unit is arranged at a low-voltage side outlet of distribution transform; court identification and determination are carried out by detecting a feature signal on a bus; and a logic relation among all nodes is analyzed and an electrical topological logic relationship is formed automatically. The distribution unit connected with the collecting unit wirelessly is arranged a branch point or a meter box side. Under the circumstance that no power interruption is needed, the electrical topological logic relationship of the court is depicted, the user under each transformer is checked clearly, and thus the household changing relationship is identified automatically. Therefore, the basic data under the distribution court can be reflected truly and become the foundation for realizing the intelligent management of the grid.

The invention relates to an electrical topology identification system and method of a low-voltage court for fast fault location. At present, according to the existing court identification principle, amode of voltage zero-crossing signal modulation in a short-time short-circuit state of a phase line and a midline is employed; however, a risk of long-time short circuit between the phase line and the midline is caused and thus equipment burning or court fault power failure is caused. The system is composed of a collection and a distribution unit. The collection unit arranged at low-voltage sideoutlet of a distribution transformer is used for detecting a feature signal of a bus to carry out court identification determination and analyzing logic relationships of all nodes to form an electrical topological logic relationship automatically. The distribution unit connected with the collection unit wirelessly is arranged at a branch point or a meter box side. Therefore, the electrical topological logic relationship of the court can be depicted while no power failure is caused; a user under each transformer is checked clearly and thus a user-transformer relationship is identified automatically; the basic data in a distribution court can be reflected truly; and thus the foundation is laid for realizing intelligent management of the grid.

The application discloses an identification method and system for the low-voltage distribution court topology. The method comprises: establishing a communication network between communication nodes; loading a power carrier signal in a distribution transformer; and generating a low-voltage distribution court topology based on signal-to-noise ratio information of carriers in mutual communication between communication nodes. According to the application, on the basis of combination of carrier signal-to-noise ratio information with phase information, the network topological relationship of the low-voltage distribution court is obtained in real time to complete household-transformer correspondence relationship identification. The real-time performance is good; the manpower is saved; and the accuracy is high.

The invention discloses a system for topology identification of electrical networks of a low-voltage distribution area. The system comprises a first communication unit embedded into a communication concentrator, a second communication unit embedded into a collector, a third communication unit embedded into an intelligent electric meter and a fourth communication unit embedded into an energy efficiency monitoring terminal, wherein the second communication unit is respectively connected to the first communication unit, the fourth communication unit and the third communication unit through a transmission module; and the transmission module comprises a low-voltage power line pulse modulation module and a 470 MHz wireless signal transmission module. Through utilization of a multi-network integration technology, the electric topology identification of supply networks is realized without changing a hardware structure, bidirectional quasi real-time communication between a power supply end and a power point can be realized, the first communication unit periodically and automatically analyzes a connection relation of the electrical networks of the area, the system can be integrated with an area electricity information acquisition device and complete electric topology data acquisition and uploading independently, and furthermore, the system has the characteristics of convenience for installation and high safety.

A wireless mesh network has a plurality of nodes. One of the nodes, referred to as a “topology building node,” is configured to discover a topology of the network. In this regard, a multicast topology message is transmitted via at least one node of the network. Each node that receive such message transmits a topology multicast reply to the topology building node which adds the transmitting node to the topology if the transmitting node is not already identified by the topology. Upon adding a node to the topology, the topology building node transmits a topology multicast command to the added node thereby causing such node to transmit a multicast topology message. Accordingly, the topology eventually receives a topology multicast reply from each node of the network allowing such node to build a complete topology of the network.

The invention discloses a method for identifying a low-voltage distribution network topology and a line impedance in a station area, and belongs to the technical field of a low-voltage distribution network. The method comprises the steps of adding an edge computing terminal and a plurality of electrical measurement devices to the low-voltage distribution network in the station area firstly; when the low-voltage distribution network topology of the station area is identified each time, determining the affiliation relation of the station area of the measurement devices and a phase type of a communication access phase according to a power line carrier communication relation between the measurement device and the edge computing terminal, enabling each measurement device and the edge computingterminal to sample voltage and current waveforms after time synchronization and updating the voltage and current waveforms to the edge computing terminal, and enabling the edge computing terminal to identify the same bus-bar measurement device and an upper-level measurement device of the bus-bar according to the waveform data; and after the topology is identified multiple times, obtaining a finaltopology identification result and performing impedance calculation. According to the method for identifying the low-voltage distribution network topology and the line impedance in the station area disclosed by the invention, the accuracy rate for identifying the low-voltage distribution network topology and the line impedance is high, the speed is rapid, the information collection capability of the intelligent equipment of the low-voltage distribution network is fully exerted, the equipment cost is low and the method has no influence on power quality.

The invention discloses a court topology identification method. The method comprises: voltage fluctuation of a low-voltage side of a court transformer is made; a voltage of the low-voltage side of thecourt transformer and voltages of to-be-identified user ammeters are collected respectively to obtain a corresponding reference number sequence and a corresponding comparison number sequence; and a gray correlation analysis is carried out to determine a court topology and the like. The court topological identification method has the following beneficial effects: problems that lots of manpower andmaterials are consumed by using a court communication instrument and court crossing caused by using a carrier technology are solved; the court topology identification becomes accurate and convenient;and compared with the data analysis methods like the regression analysis and primary cost analysis of mathematical statistics, the gray correlation analysis method needs a few of samples and does notrequire that the samples conform to a typical distribution law and the computing load is reduced.

The invention discloses a detection terminal for improving the efficiency of station area topology identification and the precision of line loss, comprising a management terminal, a topology identification terminal and a handheld PDA device, wherein, the topology identification terminal is used for acquiring electric energy and topology data of a branch access point and uploading the power and topology data to the management terminal; A handheld PDA device for transmitting binding information between the topology identification terminal and the branch access point to the management terminal; The management terminal is configured to draw a topology map according to the received power and topology data and the binding information between the topology identification terminal and the branch access point. The invention solves the problem of large fluctuation of line loss rate detection in the prior art, In order to improve the efficiency of topology identification and the precision of lineloss, the power frequency communication technology is used to measure, collect, store and transmit the topology information of low voltage distribution, which improves the high quality and high efficiency management of power supply enterprises to customers.

The invention discloses a line monitoring unit based on cooperation of a transformer area distribution transform terminal (TTU), a branch box and a meter box. A fusion terminal controls the line monitoring unit to inject short-time active current sequence signals with obvious characteristics through broadband carrier HPLC by a communication command; the sequence signal detection result of the line monitoring unit of each node on the line is read; the sequence signal detection result of the line monitoring unit (LTU) is read by a software APP running in a container of the distribution transform terminal; and an automatic topology identification file is generated in the distribution transform terminal according to the detection result, so as to realize automatic topology identification check.

The invention relates to a power distribution area monitoring device, a power distribution area topology identification system and a power distribution area topology identification method. The power distribution area monitoring device comprises low-voltage monitoring unit, wherein the low-voltage monitoring units are arranged below the transformer area physical net rack and on the corresponding low-voltage branch lines, and the low-voltage monitoring units are used for collecting and outputting first measurement information; and a power distribution gateway, wherein the power distribution gateway is connected with the power distribution area physical net rack and is connected with each electric energy meter in the power distribution area; the power distribution gateway is connected with each low-voltage monitoring unit and is used for connecting the cloud platform; furthermore, the power distribution gateway can obtain the voltage distribution data of the low-voltage side of the distribution transformer, the monitoring point of the low-voltage monitoring unit and the electric energy meter, and the voltage distribution data which can indicate the cloud platform to carry out correlation analysis to obtain a correlation analysis result, and the low-voltage topology can be corrected according to the correlation analysis result, thereby finally, accurately and stably completing topology identification of the low-voltage power distribution area.

The invention discloses a fixed line loss monitoring analysis system, comprising an intelligent line loss analysis host module which is set at a side of a distribution transformer, and intelligent measurement circuit breaker modules which is set on each branch circuit of a court. Each intelligent measurement circuit breaker module controls a switch of each branch circuit, monitors measurement dataof each household meter in a user measurement meter case on each branch circuit in real time, obtains and identifies topology identification signals of branch levels in the court, and sends the measurement data and the topology identification signals to the intelligent line loss analysis host module. The intelligent line loss analysis host module compares total meter data of the court and the measurement data monitored by each intelligent measurement circuit breaker module according to the topology identification signals based on levels, and obtains and outputs a line loss analysis result. The system has the advantages that a structure is simple, cost is low, real-time fine analysis of court line losses can be realized, and the system is stable and reliable.

The invention provides an improved local anomaly factor algorithm-based topology identification method. The method comprises the steps of firstly, based on the statistical theory, acquiring the operating state change information of a to-be-predicted device object, such as a switch, a disconnecting link or the like; secondly, according to the acquired data, modeling a to-be-identified data object, and respectively establishing an object set for each device object, wherein the object set represents the operating state change condition of the device object within a certain period of time; thirdly, based on the grid reduction theory in the GDLOF algorithm, reducing data objects in the object set to reduce identification objects and improve the efficiency of the algorithm; fourthly, for non-excluded data objects, subjecting each attribute of each object to weighted treatment by adopting a relative entropy in considering different influences of the telemetry and remote signaling information on topology error identification. In this way, the reliability and the execution efficiency of the algorithm are improved, and the identification topology error of a local anomaly factor is finally confirmed. According to the technical scheme of the invention, the density-based anomaly detection algorithm is applied to the topology error identification of the power grid, so that the application field of the anomaly detection algorithm is expanded. Meanwhile, the topology error problem of the power grid and the identification problem of telemetry bad data in the prior art are solved at the same time.

The invention relates to a distribution network topology error identification algorithm based on AMI measurement information, which is characterized by comprising the following steps: S1, calculatingthe voltage Upc of a coupling node to which each load belongs, and obtaining a coupling node voltage sample space to which the loads belong; S2, calculating the current I<L> of a branch to which eachload belongs, and obtaining a branch current sample space to which the loads belong; S3, calculating the voltage correlation coefficient and the current correlation coefficient of the loads accordingto the voltage and current sample spaces obtained in S1 and S2; and S4, completing topology calibration and correction. The running time required for identification is reduced. The quick action of topology identification is ensured, and the reliability and effectiveness of topology identification are ensured.

The invention discloses a power distribution network medium-low voltage topology identification method and system, and the method comprises the steps that a power distribution main station transmits aline transformer topology updating instruction to an intelligent distribution transformer terminal, thereby enabling the intelligent distribution transformer terminal to generate a characteristic current modulation pulse, and enabling the characteristic current modulation pulse to be coupled to a medium-voltage line through a power distribution transformer; the intelligent power distribution terminal detects the characteristic current modulation pulse, analyzes the characteristic current modulation pulse to judge a medium-voltage line to which the characteristic current modulation pulse belongs, and sends topology updating information to the power distribution main station; the power distribution main station obtains a voltage line transformation topological relation in the power distribution network according to the received topological updating information; each intelligent distribution transformer terminal carries out low-voltage topology identification on the area where the intelligent distribution transformer terminal is located by means of broadband carrier communication, and sends low-voltage topology identification information to the power distribution main station; and the power distribution main station updates the real-time topological structure according to the voltage line transformation topological relation and the low-voltage topological identification information in the power distribution network. According to the power distribution network medium and low voltage topology identification method and system, manual configuration is not needed, the identification result is complete and accurate, and accurate topology information support can be provided for intelligent application of the power distribution network.

The invention discloses a low-voltage power distribution network transformer area topology identification method and system. A transformer area center node transmits a center node identification signal to all nodes in the transformer area through three-phase power supply lines A, B and C, and branch nodes and leaf nodes in the transformer area receive and analyze the identification signal; each branch node sends a branch node identification signal to each subordinate node layer by layer, and the subordinate node of the branch node receives and analyzes the identification signal; the branch nodes and the leaf nodes return the ID identifiers and the phase sequence identifiers of the superior nodes obtained through analysis and the identification information of the nodes to the transformer area center node; and the transformer area center node reads and analyzes the information to obtain the topological structure of the low-voltage transformer area. According to the method, the identification signals are synchronously coupled to the phases A, B and C of the three-phase power supply line, crosstalk between the phase lines caused by single-phase transmission of the topology identification signals in the prior art is avoided; meanwhile, the topology identification efficiency of the low-voltage transformer area is improved by simultaneous transmission of the identification signals inthe three phases.

A system and method for using loop topology identification to investigate a transmission line having a plurality of cable segments. At a measurement plane for each segment, a probing signal is transmitted into the cable. A reflected signal is detected, and an equivalent total input impedance is calculated. The system iteratively calculates the distance between the measurement planes as well as the length, characteristic impedance, and the propagation constant of each segment. A model is used to calculate the respective equivalent input impedance of each segment using the calculated characteristic impedance, propagation constant, and length of the preceding segment. The equivalent total input impedance is then calculated from the iteratively calculated segment values.

This invention relates to filtration method for stepout decision spaces of power system utilizing the regularity in the stepout feasible solution space distribution of the power system under the precondition not losing the stepout feasible solution to filter sub-maps of an original network directly to reduce the decision-making space reasonably not using the method for dividing system regions then converging them into nodes to turn the current ordinary search method to be suitable for large scale systems of not being simplified fully so as to make possible the on-line decision for stepout strategy of large scale network.

The invention relates to an intelligent monitoring system for the operation state of a low-voltage transformer area, and the system comprises a data collection module which is used for collecting operation parameter data; a topology identification data analysis module which is used for carrying out statistical analysis by utilizing a topology identification calculation model, identifying or verifying a box-table relationship and a user-transformer relationship to achieve topology identification mapping; and a topology identification imaging module which is used for visually displaying a data analysis result, dynamically generating a topological graph and performing real-time tracking verification, and supporting dynamic and conditional query of transformer area management, transformer areatopology, abnormity and analysis logs. According to the invention, a power grid safety power utilization management and safety operation and maintenance monitoring mode can be effectively realized, and a reliable basis is provided for overall planning and overall management of the power grid.

The invention relates to a power distribution area topology identification system and method. The power distribution area topology identification system is composed of an area transformer, a pluralityof intermediate devices and a plurality of terminal devices on an area power distribution line according to an area household relation in an area, wherein the terminal equipment is provided with a terminal topology injection module, the intermediate device is provided with an inter-topology receiving module and an inter-topology injection module, and the transformer area transformer is provided with a transformation topology receiving module. The system is advantaged in that a set of transformer area topology identification system is constructed, a topology injection module actively sends a current pulse signal with the equipment information of the equipment, a current pulse signal sequentially passes through intermediate equipment on a line according to a network-level vein structure, and the intermediate device sends a current pulse signal with the device information of the intermediate device, and so on, the last-stage transformer in the transformer area receives all topological signals, so automatic identification of the topological structure of the transformer area is realized.

The invention discloses a network asset topology identification method based on flow perception. The method comprises active flow detection and passive flow detection. The active flow detection comprises the following steps: S1, collecting the survival condition of a port; S2, sending a protocol detection packet; S3, acquiring port response information; S4, extracting equipment proprietary information, and matching the equipment proprietary information with the manufacturer information; S5, establishing an equipment fingerprint library; S6, establishing a network asset topological graph, wherein the passive flow detection comprises the following steps: S1, deploying a bypass flow mirror image; S2, collecting two-layer broadcast communication and three-layer IP communication messages; S3, loading a filtering rule, and extracting a network asset fingerprint; S4, establishing a network asset fingerprint database; and S5, supplementing the topological graph. According to the invention, active flow detection and passive flow detection are combined, so that a network asset detection result is more accurate and comprehensive; meanwhile, network asset change warning is set, so that the accuracy of the network asset fingerprint database is ensured, and the use safety of network assets is improved.

The invention provides a low-voltage transformer area topology identification method based on power line carrier attenuation characteristics. The physical connection relationship between nodes is judged by utilizing the attenuation characteristic of a power line carrier signal and a step-by-step sending strategy of a power line carrier signal of a topology identification device, and the automaticidentification of the physical topology of the low-voltage distribution network can be realized without injecting a high-power or high-frequency signal into a power grid or a large amount of manual intervention; the manpower and material resource cost is saved, and the influence of judgment of the physical connection relationship between the nodes on the working stability of the power grid is avoided.

The invention discloses a method for identifying the operation topology of a distribution network based on multi-source data fusion, which comprises the steps of installing a DSCADA measurement devicein the distribution network, and installing a [mu]PMU measurement device at nodes at two ends of a tie switch and multi-branch nodes with the degree being greater than 2; measuring the voltage phaseof the installation nodes by the [mu]PMU, and constructing a topology change time identification model so as to determine the topology change time; constructing a topology change trend criterion basedon voltage changes of the nodes before and after the topology change so as to determine the branch range in which the operation state changes, and enumerating all possible topology cases after the reconstruction; and integrating DSACAD and [mu]PMU remote measurement data, constructing a distribution network state estimation model, and carrying out state estimation on all possible topologies; andconstructing a topology similarity identification model to identify the actual topology, thereby improving the reliability of distribution network topology identification. The method has good applicability in the cases of single tie switch operation and multiple tie switch operation.

The invention discloses a power system topology layered recognition method based on the island search technology. The power system topology layered recognition method comprises following steps: A, reading in data, forming a full topology branch table with an identification based on deconstruction splitting and preprocessing; B, sequentially forming an island branch subtable and a node-site corresponding table according to the full topology branch table; C, forming topology descriptions of station sites according the node-site corresponding table; and D, carrying out instation topology recognition and description. The power system topology layered recognition method is small in computing scale and fast in computing speed, the converted figure interface is clear in layout, and the interstation connection relation and the instation connection relation can be distinguished.

The invention discloses a low-voltage distribution network topology identification system based on power line carrier N-line current monitoring. The system consists of a concentrator and a plurality of topology identification devices, wherein the topology identification devices are respectively disposed on branch boxes of a power grid with a to-be-identified topology relation; the topology identification device comprises an N-line carrier signal sensor and a topology identification processing terminal; the topology identification processing terminal is arranged at the bus end of the branch boxand used for completing processing of monitoring signals; the N-line carrier signal sensor is arranged on the N line of each branch line to complete the monitoring of the current signals of the pastpower line carriers; and the topology identification processing terminal is electrically connected with the concentrator. Through the structural arrangement of the system, the system only needs to install a complete device on the branch node, and does not need to install any device on the side of the electric meter, thereby reducing the installation complexity, improving the accuracy, and reducingthe investment cost.

The invention discloses a node injection power-based running topology identification method of a power distribution network. The node injection power-based running topology identification method comprises the steps of building a variance mode of node injection power measurement-based branch voltage deviation according to node injection powers sampled for many times by a miniature synchronous phase measurement unit Mu PMU; obtaining minimum spanning tree taking variance of the branch voltage deviation as a circuit weight by employing a Kruskal algorithm to achieve identification on a topological running structure of the power distribution network; and comparing and analyzing the sampling frequency of node injection power measurement and influence of network complexity on an topological identification error. A simulation result shows that the algorithm has relatively good reliability and practicability on running topological identification of the power distribution network.