365 results about "Supply network" patented technology

The invention relates to the technical field of electric power system intelligent monitoring, and discloses an intelligent power supply system state monitoring and fault early warning method and system. According to the system, power grid operation parameters are collected in real time through a heterogeneous sensor array, multi-dimensional features are extracted through wavelet transform, a fault diagnosis model is constructed based on deep learning, precise early warning is achieved in combination with a dynamic threshold optimization algorithm, an optimal disposal scheme is generated based on an expert knowledge base, and remote data transmission is achieved through dual-channel communication. Real-time monitoring, fault early warning and intelligent decision support of the state of the power supply network are realized, and the operation reliability and the operation and maintenance efficiency of the power grid are remarkably improved.

The invention relates to the field of power systems, in particular to a multi-energy complementary power supply network cooperative control method and system. The method comprises the following steps: collecting dynamic characteristic data of wind power, photovoltaic power, energy storage and load through a sensor group, and generating a multi-energy state characteristic matrix with a timestamp; and matching the feature matrix with a dynamic response feature library, and outputting a dynamic feature parameter set. Based on the set, a multi-objective optimization model is constructed, second-level frequency deviation suppression, minute-level tie line power stabilization and hour-level economic dispatching are covered, and a cooperative control parameter set is generated. And generating a thermal power generating unit compensation amount, an energy storage charging and discharging sequence and an interruptible load priority list. After execution, power grid deviation data are collected, a dynamic deviation value is calculated, and when a threshold value is exceeded, feature library parameters are corrected and loop optimization is carried out. According to the invention, the problem of insufficient cooperative control of the multi-energy system in the prior art is solved, and the stability and economy of the power grid are improved.

The invention relates to the technical field of power supply system management, and discloses a centralized management method and management system for a power supply system. The method comprises the following steps: monitoring a current fluctuation sequence and voltage offset data of each node of a power supply network in a continuous operation period, and collecting an equipment state log text and load change time sequence information; identifying a time point of abnormal sudden change of current fluctuation, and extracting a characteristic parameter set of a power supply quality reduction event in combination with a voltage offset data change amplitude; matching a historical abnormal event library, positioning key operation record fragments strongly related to load change in the log, and generating a mapping relation table of equipment operation behaviors and power supply quality fluctuation through semantic analysis and time sequence alignment; and correcting the parameters of the load prediction model, outputting and executing a power supply priority dynamic adjustment strategy, and triggering automatic calibration of equipment operation parameters. According to the method, comprehensive control of the power supply system is realized, abnormity can be identified and processed in time, association between operation and quality is clear, and stability and flexibility of operation of the power supply system are improved.

A converter (2) supplies a load (3) with electrical energy from a supply network (4). Using a desired power (P1*) of the load (3) and a state (Z) of the supply network (4), a control device (9) of the converter (2) determines a power (P2*) to be output by the converter (2) to the load (3). The control device (9) determines, using the power (P2*) to be output, control signals (C, C1, C2) for the converter (2) and controls the converter (2) by means of the control signals (C, C1, C2) such that the converter (2) outputs the power (P2*) to be output to the load (3). The control device (9) determines the state (Z) of the supply network (4) using variables (UZK, a, f) on which the determination of the control signals (C, C1, C2) is based.

The invention belongs to the technical field of power supply transmission, and relates to a POE-POF power supply transmission method and system, and a storage medium. The method comprises the following steps: collecting electric quantity data of POE-POF power supply transmission network nodes in real time, and extracting a dynamic power feature set; identifying an abnormal power loss event based on the feature set and extracting an abnormal mode feature; abnormal path nodes are positioned by combining a POE-POF power supply transmission network topological structure, voltage and current distribution parameters are optimized, and an optimized power distribution scheme is generated; dynamically adjusting voltage and current values of a power supply path, evaluating an energy consumption trend and generating a trend data set; and adaptively adjusting the electric quantity acquisition parameters according to the energy consumption trend, updating the acquisition configuration and circularly executing the steps. According to the invention, intelligent detection, accurate positioning and dynamic optimization of abnormal loss of the power grid are realized, the stability and energy efficiency of the power supply network are improved, and the method is suitable for fine management and energy-saving optimization of the intelligent power grid.

The invention discloses an intelligent fire prevention and control and operation and maintenance optimization method and system for an electric power supply network, and the method comprises the steps: collecting temperature, humidity and smoke concentration data in real time through a sensor network, generating a comprehensive environment index data flow, and obtaining a fire initial signal through abnormality judgment; calling a medium selection model, and outputting an optimal environment-friendly insulating medium and release parameters thereof by querying an environment-friendly medium and insulating characteristic parameter library and performing matching calculation based on the equipment type; utilizing a response speed optimization algorithm to generate an accurate release instruction sequence containing a release path, a dose and a time sequence; controlling the medium atomization device to synchronously release the medium according to the instruction; and collecting equipment protection and power supply continuity data, performing risk assessment to generate an efficiency index, and updating the prevention and control strategy library to optimize a subsequent decision. Through intelligent decision making and closed-loop optimization, power supply continuity and equipment safety are guaranteed to the maximum extent while rapid and accurate fire extinguishing is achieved, and transformation from post-disaster disposal to operation and maintenance level prevention and control is completed.

The invention discloses an inverter power supply network construction type control method based on an artificial neural network, and relates to the technical field of inverter power supply network construction type control. Collecting an electrical parameter sequence set of an inverter power supply grid-connected point; constructing a power supply network construction control analyzer based on the deep feedforward neural network, and outputting a first network construction control parameter; building a power distribution network simulation topology model based on PSCAD to perform parameter optimization, and generating a second network construction control parameter; and analyzing and determining the fluctuation degree of the operation state, carrying out weighted fusion on the two types of control parameters according to a set dynamic fitting strategy, obtaining an adaptive networking control strategy, and implementing regulation and control. According to the invention, on-line intelligent optimization of control parameters is realized through a two-way parallel mechanism of quick response of the neural network and accurate verification of the simulation model in combination with a self-adaptive fitting strategy of operation state perception, and the stability, adaptability and control precision of the inverter power supply under complex working conditions are effectively improved.

The invention provides a digital twin enabling air-ground integrated dual power supply network supply-demand game method and system, and belongs to the technical field of intelligent management and control of energy and communication convergence networks. Comprising the following steps: constructing a digital twin system of an energy-communication fusion network, and accessing and mapping dynamic data from an energy network and a communication network in real time; based on the dynamic data, an energy side observation space and a communication side observation space are defined in the digital twin system, and the comprehensive supply and demand imbalance degree of the system is calculated; the energy side intelligent agent and the communication side intelligent agent output control instructions in a continuous action space according to respective observation spaces, and respectively aim at maximizing own long-term accumulated benefits; a final solution of the coordinated game framework is an optimal strategy combination meeting a Nash equilibrium condition; carrying out centralized training and distributed execution on the coordinated game framework by adopting a multi-agent depth deterministic strategy gradient algorithm based on supply and demand perception; and the intelligent agent carries out collaborative decision making based on the global supply-demand imbalance degree and local observation.

The invention relates to the technical field of power distribution network fault self-healing, in particular to a power distribution network fault self-healing method based on intelligent distributed feeder automation, which comprises the following steps of: acquiring a permanent fault signal of a feeder section of a power distribution network and an isolated network topology; based on the updated network topology, obtaining a real-time load value weight of each load node in the non-fault power-loss area and an output upper limit of the distributed power supply; an optimal power supply recovery path is determined based on distributed calculation by taking the maximum recovery total load value weight as a target, and the determination of the path needs to meet the output constraint of the available distributed power supply; and controlling the interconnection switch and the section switch on the path to execute switching-on and switching-off operations, forming a new power supply network, completing self-healing, and verifying the power flow distribution in the newly formed power supply network. After power supply is restored, the states of voltage and current are verified through load flow calculation, and voltage out-of-limit is improved through reactive power output adjustment of the distributed power supply without manual intervention.

The invention provides an urban rail system emergency scheduling method and system combined with big data analysis, and relates to the technical field of urban rail transit, and the method comprises the steps: firstly, converging dynamic monitoring data of an urban rail system, including train real-time working conditions, station region people flow distribution, rail structure vibration, power supply network load and external environment interference data; secondly, constructing an abnormal evolution topology based on the data, taking data fluctuation characteristics as nodes, connecting the nodes into a network by reflecting evolution association strength of a mutual induction relationship, and then identifying key conduction nodes and diffusion boundaries from the abnormal evolution topology; then, key conduction nodes, diffusion boundaries and emergency resource layout data are combined to generate a collaborative scheduling matrix which comprises multiple sequences such as resource pre-scheduling, train path reconstruction, station load evacuation and system function compensation and is linked through time sequence correlation parameters; and finally, converting the cooperative scheduling matrix into executable scheduling instruction sets, and pushing the executable scheduling instruction sets to corresponding control terminals according to execution subject classification, thereby realizing efficient emergency scheduling.

The invention provides a public transport supply and demand matching method and a related device, and belongs to the technical field of traffic engineering and urban planning. According to the invention, the matching degree of a supply network and a demand network is calculated through a supply-demand matching evaluation algorithm, and a public transport supply-demand matching index of a spatial analysis unit is obtained; and obtaining a public traffic supply and demand matching result based on the public traffic supply and demand matching index. According to the invention, the problem of low accuracy of public transport supply and demand matching is solved.

The invention belongs to the technical field of power supply and distribution of a data center, and provides an electrical protection method and system for power supply and distribution of the data center, aiming at the data center of a 2N power distribution architecture, electric energy parameters of two paths of external mains supply are collected and transmitted to an EMS of an energy storage system, and system charging and discharging power is controlled and adjusted through the EMS. According to the fact that the sum of the power on the two alternating current buses is larger than a set protection threshold value, the first switch device is controlled to cut off the connection between the energy storage system and the second alternating current bus, overload of a superior line or a transformer during charging or power supply switching is prevented, and in addition, through the measures of a reverse power detection device, first-path voltage loss linkage and the like, the energy storage system can be effectively protected. An external electrical protection system independent of the energy storage system is added to form dual protection, so that a dual fault superposition scene of energy storage system faults or power grid faults is effectively isolated, and the reliability of an originally designed power supply network of the data center is guaranteed.

The object of the present invention is to achieve redundancy of a power supply function by a simple configuration, to ensure operational continuity in case of failure. A power grid (1) comprises: a first power supply path (20-1) that is connected to a main engine-driving power source (100-0) of a vehicle via a power conversion device (101) and to loads (40-1, 41, 42-1) ; and a second power supply path (20-2) that is connected to a power source (100-2) different from the main engine-driving power source (100-0), to loads (40-2, 41, 42-2), and to the first power supply path (20-1) via a switch SW0. The switch SW0 is closed when the first power supply path (20-1) and the second power supply path (20-2) are normal, and is opened when the first power supply path (20-1) or the second power supply path (20-2) is abnormal.

A communication method for artificial intelligence (AI) / machine learning (ML) operations includes a network entity discovering trustworthiness capabilities for analytics and / or models, where a network data analytics function (NWDAF) is enabled to support a model training logic function (MTLF) with trustworthiness capabilities for ML models, the NWDAF is enabled to support an analytics logic function (AnLF) with trustworthiness capabilities for analytics, or a network repository function (NRF) includes trustworthiness capability provisioning per ML model. The network entity can be the NWDAF or a NWDAF consumer.

The invention discloses a composite insulation monitoring equipment cooperative work control system and method suitable for a complex ship power supply network. An acquisition module in the system acquires a state signal of the complex ship power supply network through a digital quantity input signal cable; the control unit is in communication connection with the acquisition module and is used for receiving the state signal and executing cooperative control logic; the output module is in communication connection with the control unit and is connected with an expansion relay through a digital quantity output signal cable, and the expansion relay is used for controlling input or quit of the insulation meter. The on-off state of each circuit breaker and the operation state of each insulation monitor are collected, the input and the output of each insulation monitoring meter are controlled according to a manually set requirement principle, and the condition that one insulation meter continuously works is avoided by setting a certain cycle time and changing the priority among the insulation monitoring meters. According to the control method, various insulation monitoring devices on a certain type of ship can be matched for use, and a continuous and effective power grid insulation state monitoring function is realized.

The invention discloses a hard disk aging test method. According to the method, a multi-hard-disk parallel access configuration technology is applied, a computer mainboard expansion interface is connected with a plurality of hard disks through a high-speed adapter plate, and meanwhile, an independent external power supply network is constructed to guarantee power stability. Complex working conditions are simulated through a multi-task synchronous test driving and dynamic load balancing algorithm, task allocation is optimized, and the accuracy of test data is improved. A multi-level fault response mechanism is adopted to process faults in time, and fault diffusion is prevented. The test result is quantitatively evaluated based on the preset multi-dimensional evaluation model, and a scientific basis is provided for hard disk reliability grading. The method effectively solves the problems of low efficiency, poor stability, inaccurate result and the like of a traditional test, and has a wide application prospect in the fields of hard disk production, maintenance, quality inspection and the like.

The invention is suitable for the technical field of intelligent monitoring and control of a power system, and provides an abnormal power failure and recovery intelligent identification and response system for a low-voltage power supply network, and the system comprises a photovoltaic sample obtaining module which is used for obtaining a plurality of photovoltaic power generation samples, the power generation background type and the adopted inverter model of the photovoltaic power generation sample are consistent with those of a target photovoltaic power generation system, and a high-sampling-rate data monitoring device is arranged. According to the method, the problem of voltage stability index misjudgment caused by disturbance source confusion in the photovoltaic power generation system is innovatively solved by constructing an identification and correction mechanism based on the self-inspection disturbance evolution law of the inverter. Compared with a traditional method which depends on high-frequency sampling and full-amount labeling, the method has the advantages that modeling is carried out based on the multi-dimensional disturbance characteristic trend under typical self-inspection behaviors, consistency matching is carried out in combination with actually-collected data, accurate identification and elimination of non-abnormal disturbance are achieved, and the accuracy and robustness of an index evaluation result are remarkably improved.

The invention provides an integrated multichannel pulse modulation type power switch control technology, and a power switch control device with high integration level and high performance is created through a heterogeneous integration technology, a multichannel PWM (Pulse Width Modulation) architecture and an intelligent protection mechanism. Wafer level packaging (WLP) and flip-chip bonding technologies are adopted, a PWM control chip and a GaN / SiC field effect transistor of a CMOS technology and a driver and a protection circuit of a Bipolar technology are integrated in single surface-mounted packaging, the number of external elements is greatly reduced, the space utilization rate of a circuit board is improved, and the overall size is reduced. By optimizing a multi-layer PCB structure and separating a high-frequency signal path from a power supply network, parasitic inductance is effectively suppressed, and the problem of packaging stress caused by difference of thermal expansion coefficients among heterogeneous processes is relieved.

The invention discloses a micro-grid double-layer robust scheduling method based on wind and light prediction error classification, and relates to the field of power supply network scheduling, and the method comprises the steps: collecting the original data of a micro-grid, and the original data comprise photovoltaic wind power historical output data, meteorological data, and photovoltaic wind power prediction data of a prediction system; classifying the wind and light prediction errors by adopting a residual calculation and power decomposition combined classification method to obtain an error classification result; constructing a double-layer optimization architecture, and performing microgrid scheduling optimization according to an error classification result to obtain hour-level optimal scheduling and 15-minute-level optimal scheduling; and introducing a dynamic confidence interval, and regulating and controlling the output range of the diesel engine in the micro-grid according to an error classification result and hour-level optimal scheduling. Compared with a traditional scheduling method, the method can effectively reduce the operation cost, improve the economical efficiency of the micro-grid, promote the commercial popularization of the micro-grid, and provide powerful support for the stable and economical operation of the high-permeability wind and light micro-grid.

This invention relates to a topology identification method for marine power supply networks. The power supply network includes circuit breakers controlling power generation facilities and bus tie, bridging, and side bridging circuit breakers interconnecting different areas of the network. The bus cables at both ends of the bus tie, bridging, and side bridging circuit breakers are simplified to busbar nodes, and the power generation facilities are simplified to generator unit nodes. For any busbar node, its potential busbar neighbor nodes and generator unit neighbor nodes are identified. Only one circuit breaker must exist between two nodes that are potential neighbors. All nodes are numbered in this way, and the power supply network topology is formed by all numbered busbar nodes and generator unit nodes. Two input matrices are defined: a busbar node neighbor matrix and a generator unit neighbor matrix. Drawing on the idea of ​​breadth-first search and layer-by-layer search, a network structure identification method is proposed. This method significantly reduces development time and improves accuracy.

The invention relates to the technical field of crossing of power electronics and industrial automation control, and discloses a digital power supply networked control method and system based on electrical parameters. The system comprises a partition monitoring module, an electrical parameter acquisition module, a data analysis module, a self-adaptive model prediction module, a control module, an event trigger communication module, a fault self-healing module and a global optimization module, the partition monitoring module tracks the operation state of a power supply node in each sub-region in real time, and the electrical parameter acquisition module acquires multi-dimensional electrical parameters; the data analysis module carries out calculation according to the multi-dimensional electrical parameters, the prediction module constructs a dynamic model based on historical data, the control module formulates a dynamic adjustment strategy based on the historical data and a calculation result, and the event triggers the communication module to monitor abnormity and start a communication mechanism. The fault self-healing module realizes self-repairing through standby node switching, load redistribution or path reconstruction, and the global optimization module improves the reliability and dynamic response performance of the whole network.

The invention discloses an unmanned material transportation and storage system and method. The system comprises a material storage warehouse and a child-mother distribution vehicle. A first track with a first power supply module and a storage area are arranged in the warehouse, and a second track with a second power supply module and a material shelf are arranged in the storage area; the child-mother distribution vehicle is composed of a mother vehicle and a child vehicle, the mother vehicle can run on the first track and take electricity, and the child vehicle can be borne by the mother vehicle or independently run on the second track and the material frame and take electricity; the secondary vehicle can enable the material platform to be accurately in butt joint with a placing area of the material frame through the lifting and translation mechanism so as to complete storing and taking; through cooperation of the child vehicle and the mother vehicle and a rail power supply network, long-distance efficient transportation of materials and refined flexible storage and taking of a goods shelf area are achieved, the problems that a traditional AGV is short in endurance, and flexibility and efficiency are difficult to consider at the same time are solved, and the automation level and operation efficiency of warehouse logistics are further improved.

The application discloses a novel vehicle-mounted high-low voltage fusion power supply network, comprising: a modular 48V high-voltage energy storage unit, which is composed of N lithium ion battery packs with a nominal voltage of 48V in series, forms a high-voltage DC bus, and each battery pack is integrated with an independent battery management subsystem; a full-isolation three-port DC / DC converter, whose high-voltage input end is connected to the high-voltage DC bus, has two low-voltage output ends that are electrically isolated from each other and completely isolated from the high-voltage side, wherein the first low-voltage output end is a 12V output end, directly connected to a vehicle 12V electrical network, and the second low-voltage output end is a 48V output end, serving as a medium-voltage distribution bus; through modular high-voltage energy storage, full-isolation multi-port power conversion, intelligent power distribution control and hardware-level redundancy design, the architecture completely cancels the 12V lead-acid storage battery, and realizes efficient, safe and bidirectional flow of energy among multiple voltage domains.

During disasters, widespread power outages can occur, leading to delays and shortages in electricity supply. Furthermore, conventional power supply methods rely on fixed infrastructure, making it difficult to flexibly respond to fluctuations in electricity demand. [Solution] The present invention provides a power supply system that deploys or guides mobile distributed power sources to power demand locations based on power demand information relating to power demand locations. The system comprises distributed power sources, a control device, a communication network, and power demand points. The control device determines the placement or guidance of the distributed power sources based on the location information and power output of the distributed power sources and the power output required by the power demand points.

The utility model discloses a clock line magnetic induction chip with address code, magnetic button, scissors foot button and mechanical keyboard, the magnetic induction chip contains programmable address code, the magnetic induction chip integrates magnetic induction circuit, GRB multicolor drive circuit, the magnetic induction chip includes power supply foot, ground foot, data line foot, clock line foot, the power supply foot of n magnetic induction chip is parallel together and shares power supply network VCC, and the ground foot is parallel together and shares ground network GND, and the clock line foot is parallel together and shares clock line network CLK, and the data line foot is parallel together and shares data line network DIO and is connected to MCU, and magnetic data information, GRB multicolor information is transmitted under the cooperation of clock line foot through data line foot, the utility model discloses data line foot under the cooperation of clock line foot transmission information (including magnetic data information, GRB multicolor information), make its application more high time -effect and more reliable.

A system for discovering the topology and phases of a power distribution system is provided. For example, a group of meters connected to the power distribution system can process sensor data acquired at the meters and generate descriptors based on the processed data, sending the descriptors to a headend system. The headend system can, after receiving descriptors from the individual meters in the system, group the meters to generate groups by applying a clustering algorithm to the descriptors of these meters. The headend system can also compare the current group with past groups to determine the confidence level of the current group, and assign segment identifiers or phase identifiers, or both, to one or more meters based on the confidence level.

Conveyor arrangement (1), adapted to convey an object (9), the conveyor arrangement (1), comprising, - a plurality of conveyor zones (2), each conveyor zone (2) is adapted to convey an object (9) from an inlet (1) of said conveyor zone (2) to an outlet (0) of said conveyor zone (2), each conveyor zone (2) is provided with a drive unit (3M), each drive unit (3M) is adapted to transform electrical power into mechanical power required for conveying said objects (9); - a plurality of, in particular at least two, power supply devices (21) adapted to supply electric power (P21) to the drive units (3M); - in particular at least one controller (10, 11) adapted to control operation of said conveyor zones (2); the conveyor arrangement (1) further comprising a power supply network (20), comprising - the plurality of power supply devices (21); - the plurality of drive units (3M); - at least one power supply line (23) connecting the plurality of power supply devices (21) with the plurality of drive units (3M).

A baseboard apparatus for an electrical installation. The baseboard apparatus includes a rail device attachable to a wall structure and connectable to a power supply network using longitudinal contact bars. A placement device is attachable to the rail device using socket units and frame units. The socket units are contactable by the contact bars at various longitudinal positions on the rail device. The frame units can be mounted on the rail device in order to cover the rail device outside the socket units. The rail device includes a data transmission bar connectable to a data network. The placement device includes data transfer interfaces, which are contactable at various longitudinal positions of the rail device by the data transfer bar.

The application belongs to the field of natural gas supply, and particularly relates to a natural gas supply pipe network double-metering switching and leakage safety cut-off system, which comprises a double-metering switching subsystem and a leakage safety cut-off subsystem; the double-metering switching subsystem comprises a main metering channel module and a standby metering channel module, the main metering channel module and the standby metering channel module are connected with a dynamic data acquisition module, the dynamic data acquisition module is connected with a health degree diagnosis module, the health degree diagnosis module is connected with a historical performance analysis module, and the historical performance analysis module is connected with a dynamic credibility evaluation model; by adopting the main and standby double-metering channels with different measurement principles and combining real-time health diagnosis, historical performance analysis and the dynamic credibility evaluation model, the system can intelligently judge and automatically switch to a more reliable metering data source, so that the metering work is uninterrupted and the data is accurate and reliable when a single channel fails or performance declines.

The present application discloses a method and a device for notifying a power disconnection. The invention relates to a method and a device for transmitting a message from a first node device to one or more node devices that are neighbours of said node device, said node devices belonging to a power supply network using power lines and radio communication. According to the invention: - said first node device detects (E40) a disconnection of an electricity supply, - said first node device checks (E42) in a routing table if it is connected to a neighbouring node device by a radio link, - if yes, said first node device sends (E43) a unicast message to said neighbouring node device by said radio link indicating a disconnection of said electricity supply to said first node device, - if no, said first node device sends (E44) a radio broadcast message indicating that said first node device detected a disconnection of said electricity supply.