86 results about "Low voltage grid" patented technology

The invention discloses a line loss treatment method based on low-voltage power grid multi-source data fusion, and belongs to the technical field of information, and the method comprises the steps: reconstructing a power supply path based on a power grid topological structure and a changed power access point; extracting reverse power flow characteristics of the frequency points for correcting a node impedance matrix of the current power supply path to obtain a power supply access point impedance parameter set; updating a power transmission path through the reverse power flow characteristic to obtain a power distribution characteristic; and a power grid topological structure, a current power supply path, a power supply access point impedance parameter set and power distribution characteristics are fused to construct a line loss distribution prediction model and identify a line loss abnormal region, and the line loss abnormal region is treated. Through implementation of the method and the device, the problem that the line loss treatment effect is poor due to the fact that the influence of factors such as transformer area topological structure change, power access point change and load fluctuation on the line loss is not considered in the prior art, and the predicted line loss distribution has a large error compared with the actual situation can be solved.

The invention provides a communication method and system based on HPLC and HRF dual-mode fusion, belongs to the field of power line carrier communication, and solves the problem that the communication performance is still insufficient in a three-phase four-wire system low-voltage power grid environment. The method comprises the following steps: in a high-speed power line carrier communication channel of a three-phase four-wire system power grid, dynamically learning an electric phase of each terminal through a carrier coupling success rate, constructing an electric phase identification model, and recording communication characteristics of a phase line to which each terminal belongs; identifying link isolation states among different phase lines by combining an electric phase communication map generated on the concentrator side based on the phase information of each terminal; and under the condition of determining that a cross-phase communication bottleneck exists based on the link isolation state, executing a preset collaborative packet sending optimization strategy, and in the optimization process, establishing an out-phase relay path through a high-speed wireless communication channel.

The invention discloses a low-voltage power grid voltage fluctuation control method and system based on artificial intelligence. The method comprises the steps of obtaining a multi-source data set from a power grid; if the line loss estimation deviation in the multi-source data set exceeds a preset deviation range, iteratively optimizing a preset initial resource allocation scheme according to a multi-objective optimization algorithm to obtain a computing resource allocation scheme; obtaining final line loss distribution characteristics through task grading and parallel decoupling calculation according to a calculation resource allocation scheme; and generating a generator set output adjustment scheme according to the final line loss distribution characteristics, and regulating and controlling the power grid. According to the artificial intelligence-based low-voltage power grid voltage fluctuation control method and system provided by the invention, power grid data are integrated, line loss distribution is analyzed, and a voltage fluctuation trend is predicted, so that the output of a generator set is regulated and controlled, and voltage stabilization and line loss control are realized; therefore, the problem that effective control and line loss treatment are difficult to carry out on the power grid voltage fluctuation can be solved.

The embodiment of the invention provides a fault recording data processing method and device, equipment and a storage medium, and relates to the technical field of electric power. The method comprises the steps of obtaining a wave recording file of a photovoltaic grid-connected point in a preset time period, carrying out data sampling on the wave recording file according to a time period of sampling frequency determined according to the time period of sampling time so as to obtain fault wave recording data, and finally carrying out fault analysis on a power grid fault according to the fault wave recording data. Wherein the time period comprises a fault occurrence stage, a fault development stage or a fault change stage. According to the method, on the premise of ensuring that key fault information is obtained, the data storage amount is effectively reduced, the balance of high sampling rate and low occupied memory of the fault recording data is realized, then a reliable basis is provided for power grid fault analysis, the comprehensiveness and accuracy of power grid fault analysis are greatly improved, and the method is suitable for popularization and application. And safe and stable operation of the low-voltage power grid after distributed photovoltaic large-scale access is ensured.

The invention provides a dual-mode-based low-voltage power grid state information management method and a dual-mode-based low-voltage power grid state information management system, belongs to the field of power line carrier communication, and solves the problem that the bit error rate is still high in some scenes. The method comprises the following steps: acquiring control harmonic characteristic parameters of grid-connected inverter equipment in a transformer area and physical layer state parameters of a high-speed power line carrier communication channel in the high-speed power line carrier communication channel; on a concentrator side or an edge node side, constructing an error rate risk assessment model based on the control harmonic characteristic parameters and the physical layer state parameters so as to identify a link risk state in which feedforward gain limitation and spectrum migration need to be executed; the method comprises the following steps: under the condition of determining that a control harmonic wave causes selective desensitization of a high-speed power line carrier communication front end based on a link risk state, applying feed-forward gain limitation to a high-speed power line carrier communication channel, and migrating a high-risk subcarrier to a low-risk frequency band; and a bypass relay path is established through the high-speed wireless radio frequency communication channel so as to transmit key data in the execution period.

The invention relates to the technical field of transformers, in particular to a signal transformer for multi-path signal coupling of a low-voltage power grid, the signal transformer comprises a magnetic core, an inlet wire winding and an outlet wire winding, efficient electromagnetic coupling and isolation of multi-path signals are achieved through the magnetic core, and a main control chip can send control signals to equipment through a driver and a coupling winding. And receiving an equipment feedback signal. The system can extract characteristics of a control signal and a feedback signal in real time, dynamically calculate a comprehensive crosstalk index, and adaptively adjust parameters of a receiving filter and a driver according to the comprehensive crosstalk index, so that signal crosstalk caused by physical coupling among multiple channels is effectively inhibited. According to the scheme, the structure is simplified, the system cost is reduced, the communication quality and the anti-interference capability of multiple paths of signals in a low-voltage power grid are remarkably improved, and the system is suitable for multiple occasions such as high-reliability power line communication.

The invention discloses an electric energy meter-oriented low-voltage power grid harmonic recognition algorithm optimization method, which relates to the technical field of power systems, and comprises the following steps of: respectively acquiring electric signals at a first sampling frequency and a second sampling frequency, constructing a high-frequency harmonic existence frequency list based on the electric signals acquired at the second sampling frequency, and constructing a high-frequency harmonic recognition algorithm based on a Nyquist sampling theorem. Whether a position locking instruction is triggered or not is judged, after the position locking instruction is received, a high-frequency harmonic existence frequency list is traversed, turn-back frequencies are calculated, energy accumulation is carried out on the same turn-back frequencies, an aliasing high-risk interval is constructed, high-order wavelet packet decomposition is carried out on the aliasing high-risk interval, and a candidate aliasing component sequence is obtained; and for each high-frequency harmonic frequency, calculating total turn-back pollution contribution energy at each turn-back position in the sampling channel under the condition of the first sampling frequency, and performing iterative correction on the candidate aliasing component sequence based on the total turn-back pollution contribution energy.

The invention discloses a user terminal-oriented low-voltage power grid fault early warning method and system, and belongs to the technical field of fault early warning. In the operation process of the low-voltage power grid, collecting environment data around the user terminal in real time; collecting real-time operation data of the power grid equipment; fusing the environment data and the real-time operation data of the power grid equipment; based on the fused data, identifying a potential mode of a power grid fault, and predicting fault occurrence time; and the fault early warning information and the adjustment strategy are fed back to the user terminal in real time, the load change condition after the user receives the feedback is monitored in real time, and dynamic adjustment is carried out. According to the invention, by dynamically adjusting the load and equipment use, the power grid can be further ensured to respond quickly when facing a fault risk, and the possibility of fault occurrence is reduced, so that the operation efficiency, stability and reliability of the power grid are effectively improved.

The invention discloses a low-voltage intelligent management and control device, particularly relates to the technical field of low-voltage power system management, and realizes accurate expression of a low-voltage power system structure through multi-level power network model construction and topology updating. Identifying a potential propagation path through fault feature vector extraction and graph neural network training; the risk probability of each path is predicted through the long-short-term memory network, and the fault risk prediction index is formed by combining the operation risk index and the electrical risk index, so that the problem that the fault is difficult to locate and block in time in the traditional low-voltage management and control is solved; performing priority protection on a key path through dynamic threshold regulation and control; the method can achieve the advanced prediction and active prevention and control of potential faults in a low-voltage power grid, reduces the chain loss caused by fault spreading, and improves the operation reliability and power supply safety.

The invention provides a prediction method, device and equipment for a power failure range of a low-voltage power grid, a medium and a product. The method comprises the following steps: acquiring a low-voltage power grid operation variable after disturbance is added into a low-voltage power grid and a variable reference value during normal operation of the low-voltage power grid; determining a time sequence data set of each component in the low-voltage power grid operation variables according to the low-voltage power grid operation variables; according to the time sequence data set of each component and the prediction register, performing prediction processing on the low-voltage power grid operation variables to obtain a predicted operation variable sequence; determining a component power failure prediction index corresponding to each component according to the prediction operation variable sequence; according to the variable reference value during normal operation, the component power failure prediction index corresponding to each component is verified to obtain the low-voltage power failure prediction index, and the accuracy of predicting the power failure range of the low-voltage power grid is improved.

The application discloses a kind of dynamic response 5G communication differential protection data transmission method, so that the differential protection service based on 5G communication is widely applied in low-voltage distribution network field, promote the development of new technology of power grid relay protection, solve the protection terminal of traditional low-voltage power grid not dependent on channel cannot give consideration to speed and selectivity requirement, by using advanced 5G communication technology, with the high bandwidth of 5G communication network, low latency and high reliability wireless communication environment, realize the large-scale application of longitudinal differential protection in closed-loop operation low-voltage power grid, improve the protection level of power grid.The application applies dynamic response transmission mode in the communication process of distribution network transmission line differential protection based on 5G communication, meets the rapidity requirement of relay protection, reduces 5G communication transmission flow, saves communication resources and reduces communication cost.

The invention discloses a high-voltage multi-section constant-current LED emergency lighting driving system and a control method. Relates to the technical field of power supply. Comprising LED lamp beads, an alternating current power supply part, an EPS power supply part and a driving IC. The alternating current power supply part and the EPS power supply part supply power to the same LED lamp bead through the same driving IC; according to the scheme, a traditional circuit structure is improved, the alternating current power supply part and the EPS power supply part supply power to the same LED lamp bead through the same driving IC, and the purposes of reducing cost and simplifying a circuit are achieved; wherein the alternating current power supply part accords with high-low voltage power grid input and meets sub-harmonic requirements; meanwhile, the EPS power supply part outputs constant voltage, the output power of the voltage changes along with the combination of the LED lamp beads, linear driving is shared to realize single-section constant current, and the purposes of reducing the cost and simplifying the circuit are realized on the premise of flexibly realizing EPS illumination application of different powers.

The application discloses a line loss treatment method based on low-voltage power grid multi-source data fusion, and belongs to the information technology field.The method is as follows: based on the power grid topological structure and the changed power supply access point, the power supply path is reconstructed; the reverse power flow characteristics of the frequency point are extracted to correct the node impedance matrix of the current power supply path, and the power supply access point impedance parameter set is obtained; the power transmission path is updated through the reverse power flow characteristics, and the power distribution characteristics are obtained; the line loss distribution prediction model is constructed by fusing the power grid topological structure, the current power supply path, the power supply access point impedance parameter set and the power distribution characteristics, and the line loss abnormal area is identified and treated. Through the implementation of the application, the influence of the factors such as the change of the transformer area topological structure, the change of the power supply access point and the load fluctuation on the line loss is not considered in the prior art, so that the predicted line loss distribution has a large error compared with the actual situation, and the line loss treatment effect is poor.

The utility model relates to the field of farm deinsectization, in particular to a hanging type deinsectization device for a cow breeding room, which comprises a cylinder, a top cover is fixedly mounted at the top of the cylinder, a deinsectization mechanism is arranged on the inner wall of the cylinder, the deinsectization mechanism comprises a bait box and a driving motor, the bait box is in threaded connection with the inner wall of the cylinder, and the driving motor is in threaded connection with the cylinder. The driving motor is fixedly installed on the inner top wall of the top cover, an output shaft of the driving motor is fixedly connected with a connecting rod, the surface of the connecting rod is fixedly connected with a low-voltage power grid, a reciprocating motor is fixedly installed at the lower end of the connecting rod, and an output shaft of the reciprocating motor is fixedly connected with a threaded rod. Compared with the prior art, the hanging type deinsectization device for the dairy cow breeding room is provided with the deinsectization mechanism, the storage bag and the clamping mechanism, after the storage bag is filled with flies, the storage bag can be separated from the cylinder only by pulling an arc-shaped plate outwards, and the killed flies are received through the storage bag, so that the cylinder does not need to be cleaned; and the use of workers is more convenient.

The utility model discloses a three-in-one transformer cabin for a power van, and relates to a structure of a mobile power van. The system comprises a cabin body, power conversion equipment is arranged in the cabin body, a plurality of emergency management assemblies used for controlling the working state of the power conversion equipment are arranged on the outer side wall of the cabin body, and the power conversion equipment comprises low-voltage grid-connected equipment, medium-voltage grid-connected equipment, a ring main unit and mobile box-type substation equipment which are arranged in parallel. The system integrates a low-voltage grid-connected function, a medium-voltage grid-connected function, a power distribution protection function, a complete-set power transformation and distribution function and the like, so that the system is more powerful in function and more convenient to use.

The application belongs to the technical field of power systems, and discloses a low-voltage power grid operation state monitoring method and device, the method comprising: based on a pre-constructed Internet of Things architecture, obtaining operation state data of a target power grid device, and gathering the operation state data to a transformer area fusion terminal; processing the operation state data transmitted by the transformer area fusion terminal, and sending the processing result to a plurality of service terminals; in response to the processing result, each service terminal generates a cooperative monitoring result. The scheme of the application expands the dimension of low-voltage power grid state monitoring, expands the data volume, and improves the real-time performance of state monitoring.

This invention provides an automatic modeling method and system for low-voltage power grid data based on visual data acquisition, relating to the field of low-voltage power grid technology. The method includes: dividing the low-voltage power grid area into multiple sub-regions and constructing multiple local coordinate systems; analyzing the power grid equipment to be acquired and determining at least one matching local coordinate system; configuring a visual data acquisition task template, performing data acquisition to obtain at least one set of equipment modeling data; constructing a multi-region coordinate system transformation model, performing coordinate system transformation to obtain at least one set of equipment modeling transformation data corresponding to the equipment modeling data, and generating visual modeling simulation results for the data acquisition task. This invention solves the technical problem in existing technologies where, in the process of low-voltage power grid data modeling, a large, unified global modeling coordinate system is typically established for data acquisition or modeling of all power grid equipment. While this achieves a unified effect, it is not accurate enough, affecting the true reflection of power grid data and its application effectiveness.

This patent discloses a power supply method and system for hybrid aircraft, belonging to the field of aviation electrical systems. It is used to solve the problem of integrating the high-voltage and low-voltage power grids of hybrid aircraft. On the one hand, it realizes efficient electric propulsion and significantly reduces fuel consumption. On the other hand, it uses an energy storage device to combine the electric propulsion system with starting and generating technology, improving the system's integration and reuse capabilities. The power supply system of the present invention includes: an energy storage device, a hybrid generator, a starter generator, a prime mover, an electric propulsion system, and an electric energy distribution system.

Methods and systems for switch-on control or charging control of energy end-consuming electric devices. An example includes: connecting an electric device to a low-voltage grid; generating a uniquely coded consumer point identification on a grid section between an energy consumption meter and the connection point; detecting the identifier in a modulation signal; forwarding the identifier to t a control unit of the device; and sending an authorization request, either clearance to switch on to charge the electric device. A service offered by a provider connects, via an API module to the device as a client and transfers the identifier to the provider. The method automatically switches on or charges the electric device under contracted energy supply conditions for the energy cost optimization of the electric device.

The application provides a communication method and system based on HPLC and HRF double-mode fusion, and belongs to the field of power line carrier communication, and solves the problem of insufficient communication performance in a three-phase four-wire low-voltage power grid environment. The method comprises the following steps: in the high-speed power carrier communication channel of the three-phase four-wire power grid, the power phase of each terminal is learned dynamically through carrier coupling, an electric phase identification model is constructed, and the communication characteristics of the phase line to which each terminal belongs are recorded; in combination with the electric phase communication spectrum generated on the concentrator side based on the phase information of each terminal, the link isolation state between different phase lines is identified; in the case where it is determined based on the link isolation state that there is a cross-phase communication bottleneck, a preset cooperative packet sending optimization strategy is executed, and in the optimization process, a cross-phase relay path is established through a high-speed wireless communication channel.

The utility model discloses a generator set loading test system. The system comprises a generator set, a feedback type electric energy recovery module, an isolation transformer, a low-voltage power grid, a data acquisition module, an upper computer module and a control module, the generator set, the feedback type electric energy recovery module, the isolation transformer and the low-voltage power grid are electrically connected in series; the data acquisition module is electrically connected with the low-voltage power grid; the data acquisition module is in communication connection with the upper computer module; the upper computer module is in communication connection with the control module; the control module is electrically connected with the feedback type electric energy recovery module. According to the scheme, the electric energy of the generator or the generator set is recycled while the loading test is completed, so that the electric energy is prevented from being consumed in a heating form.

The application discloses a new mine selective leakage protection method based on a standard current change trend and belongs to the field of coal mine low-voltage power grid fault diagnosis. In view of the problems that the commonly used selective leakage protection device has the problems of malfunction, misoperation, low-voltage switch leakage misoperation or step jump, and low line selection accuracy, the application proposes a mine selective leakage protection method based on a standard current change trend by connecting a switchable middle resistor in parallel with a zero sequence reactor of an additional direct current power supply device. Firstly, the zero sequence current flowing through the zero sequence reactor and each line before and after the input of the parallel middle resistor is obtained, the standard current of the zero sequence current of each line is obtained by taking the amplitude of the zero sequence current of the zero sequence reactor as a reference value, the change trend of the standard current of each line before and after the input of the middle resistor is compared, the standard current of the fault line shows an upward trend after the input of the middle resistor, while the standard current of the healthy line is unchanged, and finally the fault line selection is realized. The method has strong transition resistance capacity, only needs to measure the amplitude of the zero sequence current of each line, does not need to calculate the phase, is not affected by the phase measurement error and non-synchronous sampling, and is not affected by the transition resistance in principle.

The invention relates to a DC-DC converter for transferring energy from a high-voltage network into a low-voltage network. For this purpose, a circuit configuration is used which can be operated either as an active clamp flyback converter or as an active clamp buck converter.

The invention belongs to the technical field of phase modifier control, and particularly relates to a system suitable for starting a phase modifier and a control method.The system comprises a brushless doubly-fed motor or a doubly-fed motor coaxially connected with a high-capacity phase modifier, and the motor comprises a set of high-voltage windings and a set of low-voltage windings; the high-voltage winding and the low-voltage winding are respectively connected with a high-voltage power grid and a low-voltage power grid through contactors; the contactor connected with the low-voltage winding is connected with an inversion unit of a low-voltage four-quadrant frequency converter, and the inversion unit of the low-voltage four-quadrant frequency converter is connected with a step-down transformer. The method aims to assist in solving a series of problems existing in the turning, starting and synchronous grid connection processes of the current high-capacity phase modifier, and meanwhile, corresponding control strategies are formulated according to working conditions such as restarting at any rotating speed in the turning, static state starting and stopping processes of the phase modifier, so that the reliability of a phase modifier system is improved.

The invention provides a low-voltage power failure emergency strategy determination method and device, equipment, a medium and a product. The method comprises the steps of obtaining a power data set of distributed energy before power failure of a low-voltage transformer area; performing data division processing on the power data set to obtain a training data matrix and a test data matrix; constructing a fuzzy set membership matrix according to a fuzzy domain theory and the training data matrix; obtaining a power prediction result of the distributed energy according to the fuzzy set membership matrix and the test data matrix; and comparing the power prediction result with a preset power threshold, and determining an emergency strategy of low-voltage power failure. According to the technical scheme, the power supply reliability and accuracy of the low-voltage power grid are improved.

The application discloses a low-voltage network anomaly diagnosis method based on multi-source heterogeneous data fusion, relates to the technical field of low-voltage network anomaly diagnosis and operation and maintenance, and comprises the following steps: collecting multi-source data, pre-processing the data by edge computing, adjusting the collection interval according to changes, processing the data by deep learning and other technologies, converting according to semantics, improving formula standardization, fusing the data by federated learning, dynamically weighting and intelligently interpolating, constructing a rule base, optimizing by reinforcement learning, setting a dynamic threshold, training a model based on Transform and GNN, improving the effect by contrast learning, monitoring data in real time, warning in multiple ways when an anomaly occurs, assisting in troubleshooting by AR, and repairing the anomaly by a robot. The application can fuse multi-source heterogeneous data and improve data quality, the diagnosis model and the rule base are accurate and efficient, anomalies can be found in time, the operation and maintenance cost is reduced through intelligent early warning, AR-assisted troubleshooting and robot repair, the stable operation of the low-voltage network is ensured, and the economic and social benefits are remarkable.

The application discloses a kind of user terminal-oriented low-voltage power grid fault early warning method and system, belong to fault early warning technical field;In the process of low-voltage power grid operation, the environmental data around user terminal is collected in real time;Collect the real-time operation data of power grid equipment;The environmental data and the real-time operation data of power grid equipment are fused;Based on the data after fusion, the potential mode of power grid fault is identified, and the fault occurrence time is predicted;Fault early warning information and adjustment strategy are fed back to user terminal in real time, real-time monitoring load change after receiving feedback by user, and dynamic adjustment is carried out.The application further ensures that power grid can respond quickly when facing fault risk by dynamically adjusting load and equipment use, reduces the possibility of fault occurrence, thereby effectively improves the operation efficiency, stability and reliability of power grid.

An unlocking control system, comprising: an external power replenishment interface (4), which is configured to connect to an external emergency power source when a vehicle is in a low-battery-voltage state; a power source management module (1), which is configured to communicate with the external emergency power source, and measure the voltage of the external emergency power source, wherein if it is detected that the voltage matches the voltage of a low-voltage power network of a vehicle, the power source management module controls a secondary cut-off protection unit (3) to be turned on, such that a low-voltage storage battery (5) is connected to the external emergency power source so as to perform a power replenishment operation; the low-voltage storage battery (5), which is configured to supply power to the low-voltage power network of the vehicle; and a door module (6), which is configured to drive, once having obtained power supplied from the low-voltage storage battery (5) and when a vehicle door unlocking signal is received and the authentication of identity information of a user has passed, a door lock to complete unlocking. Further disclosed are an unlocking control method and a vehicle. On the premise of ensuring the convenience, reliability and anti-theft safety of a jump-starting operation of the vehicle, the system can enable a vehicle door to be opened, and then jump-start the low-voltage storage battery (5) of the vehicle and enable the vehicle to regain low-voltage power supply, so as to restore normal functions of an electrical system of the vehicle, thereby realizing a low-cost, highly-reliable and high-tech design, and making the customer experience more comfortable and safer.

The invention provides a low-voltage power grid data processing method and device, equipment, a medium and a product, and the method comprises the steps: collecting historical data and real-time data of a low-voltage power grid when a low-voltage power failure event is detected; constructing a historical data rule base according to the historical data of the low-voltage power grid, wherein the historical data rule base comprises at least one rule for determining a low-voltage power failure event based on the historical data; constructing a real-time feature vector according to the real-time data; obtaining a target rule matched with the real-time feature vector from a historical data rule base; and determining the power failure reason of the low-voltage power grid according to the target rule. According to the technical scheme, the real-time performance and accuracy of power grid data processing are improved.

The invention provides a low-voltage power grid data automatic modeling method and system based on visual acquisition and recording, and relates to the technical field of low-voltage power grids, and the method comprises the steps: dividing a plurality of sub-regions of a low-voltage power grid region, and constructing a plurality of local coordinate systems; analyzing the to-be-collected and recorded power grid equipment, and determining at least one matched local coordinate system; configuring a visual acquisition and recording task template, and performing data acquisition and recording to obtain at least one group of equipment modeling data; and constructing a multi-region coordinate system conversion model, performing coordinate system conversion, obtaining equipment modeling conversion data corresponding to the at least one group of equipment modeling data, and generating a visual modeling simulation result of the to-be-collected and recorded task. The technical problems that in the low-voltage power grid data modeling process in the prior art, in general, a large unified global modeling coordinate system is established to conduct data collection or modeling on all power grid equipment, although the unified effect can be achieved, the data collection or modeling is not accurate enough, and the real reflection and the application effect of power grid data are affected are solved.