5793 results about "Power control" patented technology

Disclosed in the present invention are a grid-connect control method and apparatus for a grid-connect inverter. The method comprises: on the basis of a control structure of a grid-connect inverter in a dp domain, passing a deviation signal of a power outer loop through power outer loop controllers, so as to generate reference values of a current inner loop, and comparing the reference values of the current inner loop with an actual output current, so as to obtain error signals, wherein the control structure comprises a PQ power control outer loop and a current control inner loop, and the actual output current is obtained by means of performing phase tracking, on the basis of a synchronous reference frame phase-locked loop, on the voltage of a point of common coupling; and adjusting the error signals by means of a current inner loop controller, so as to generate modulation signals, performing pulse width modulation (PWM) on the modulation signals, so as to generate an on-off signal of an inverter bridge power semiconductor device, and controlling the state of connection and disconnection between the grid-connect inverter and a power grid on the basis of the on-off signal. In the present embodiment, the connection and disconnection between a grid-connect inverter and a power grid are controlled, so as to improve the stability of the grid-connect inverter in weak power grids.

The invention provides an intelligent temperature adjusting method and system for an injection molding mold. The method comprises the steps that real-time multi-source sensor data flow is generated by collecting temperature data and pressure data of all areas of the injection molding mold; performing feature extraction on the real-time multi-source sensor data flow to obtain temperature field distribution features; a temperature field distribution prediction model is obtained through training based on the temperature field distribution characteristics and a differential private Bayesian optimization algorithm, and then a mold temperature prediction result is output through the model; performing feature fusion on the mold temperature prediction result and the pressure data, constructing input features of a neural network controller, training based on the input features and a positive definite curvature learning method to obtain the neural network controller, and generating a power control signal of a heater and a flow control instruction of a water cooling system through the neural network controller, and based on the control signal and the instruction, the temperature field of the mold is dynamically controlled through the adjustable clearance compensation mechanism. According to the invention, the precision and response speed of temperature adjustment are improved.

The invention belongs to the technical field of mobile communication, and particularly relates to a method for automatically switching a network channel and an SIM card according to signal strength, which comprises a sensing module, a decision module, an execution module and an optimization module, and automatically switches the network channel and the SIM card through a progressive cooperation process. The sensing module is used for acquiring data and identifying a user scene mode, and the data acquisition comprises acquisition of environment characteristic data and equipment state data; the decision module is used for intelligent analysis, selecting an optimal network access scheme according to a user scene type, and ensuring the security of network switching; the execution module is used for network control, and seamless switching of network channels is carried out through cooperation of hardware and software. And the optimization module is used for self-learning of the decision-making module, establishing a database and learning according to user behaviors, recommending an optimal network access scheme to a user in a similar scene, and assisting the Internet of Things terminal in electric quantity control.

The invention discloses a starting control system and method for a main and auxiliary power hybrid ship, and relates to the field of ship power control, and the system comprises a multi-source data collection module which is used for obtaining a multi-source state data set of a ship power system; the fusion processing module is used for performing feature alignment processing on the multi-source state data set based on a multi-modal sensing data fusion algorithm to generate a hybrid power starting parameter set; the dynamic weight distribution module is used for constructing a dynamic weight distribution matrix according to the hybrid power starting parameter set; the cooperative control module is used for generating a main and auxiliary engine combined starting instruction set based on an improved cooperative control algorithm; and the execution and monitoring module is used for executing the main and auxiliary engine combined starting instruction set in a preset time window and monitoring the transient response characteristic of the propulsion system. According to the starting control system and method for the main and auxiliary power hybrid ship, the starting stability and the energy utilization efficiency of the hybrid ship are improved.

A wireless communication method and system enabling dynamic multi-path data transmission and reception across heterogeneous radio access networks. The method includes selecting between sequential, concurrent, or redundant multipath transmission strategies based on real-time measurements of link quality parameters, including signal-to-interference-plus-noise ratio (SINR), reference signal received power (RSRP), delay, and spectrum availability. The system further enables adaptive transmission power control, modulation scheme selection, and carrier configuration based on physical layer feedback, minimizing interference and optimizing spectral efficiency. Peer-to-peer communication between terminals is supported without base station mediation, reducing RAN load. Multi-base station connectivity is enabled, allowing terminals to simultaneously transmit through multiple nodes and aggregate at the core network. The architecture supports real-time topology control, dynamic link adaptation, and transmission parameter adjustment based on physical-layer constraints.

The invention relates to a self-adaptive intelligent power control method for an electric energy router in a photovoltaic power generation system. According to the method, key parameters of photovoltaic, energy storage and load are monitored in real time, a virtual power pool is constructed to quantify a multi-source power margin and dynamically distribute a priority sequence, energy storage output is dynamically adjusted in combination with a feed-forward compensation control strategy, frequency modulation deviation is periodically checked, weight optimization redistribution is triggered, and energy storage output is dynamically adjusted. Cooperative control of photovoltaic load reduction frequency modulation and DC bus voltage stability is realized, the multi-source cooperative frequency modulation response capability and the energy utilization rate are effectively improved, voltage fluctuation caused by power abrupt change is suppressed, and both the system operation economy and the power supply reliability are considered.

The invention relates to an intelligent scheduling method and system for a virtual power plant, and aims to improve the precision and efficiency of distributed resource scheduling. The method comprises the following steps: monitoring the state of each distributed resource node of a virtual power plant, and collecting real-time output, charge state and communication quality indexes to obtain a resource state data set; and performing power prediction according to the resource state data set, calculating power prediction deviation in real time, and triggering online correction to obtain a power prediction sequence. And inputting the resource state data set and the power prediction sequence into an improved bee algorithm, and generating a target scheduling scheme of the virtual power plant through neighborhood search containing a prediction deviation correction term and probability selection based on communication reliability. And based on the target scheduling scheme, establishing a three-layer progressive optimization architecture, and realizing multi-time scale coordination through time coupling constraint to obtain a distributed resource power control instruction. By optimizing the resource scheduling scheme, the scheduling efficiency and the system reliability of the virtual power plant in a variable environment are improved.

The invention discloses an intelligent discharge port dynamic regulation and control system and method based on multi-source time sequence fusion, and relates to the technical field of intelligent water affairs, and the system comprises a data collection module which is used for obtaining the multi-source data of a target area in real time; the space-time fusion module is used for mapping the meteorological radar data to the topological space of the drainage pipe network through a space-time alignment encoder, dynamically fusing the meteorological radar data, the surface runoff sensor data and the historical drainage data by adopting a multi-head attention mechanism, and generating a space-time fusion tensor; the prediction model module is used for constructing a TCN-LSTM hybrid model, taking the space-time fusion tensor as input and taking future drainage flow as output; and the dynamic regulation and control module is used for optimizing the gate opening degree and the pump station power control sequence in a rolling manner based on a model predictive control algorithm, and performing dual-target optimization by combining real-time electricity price data and overflow risks. According to the system, the prediction precision of the drainage flow can be improved, and double-target balance of the overflow risk and the energy consumption cost can be achieved.

Wireless networks with plural nodes having a respective transceiver and a processor configured to, and methods to, obtain current state data, calculate a reward, store such state data and rewards in a collected parameters database, provide such current state data and data from such collected parameters database to a reinforced neural network, select an action using the reinforced neural network, and output the action to the respective transceiver so as to selective modify its transmit power level.

The invention provides a power grid frequency modulation power energy coordination control method and system based on a super capacitor, and relates to the technical field of power grid frequency modulation, and the method comprises the steps: carrying out the time-frequency analysis of a collected power grid frequency signal, obtaining a frequency disturbance characteristic value, and determining power control data through combining with an electrical parameter value of a super capacitor group; and performing nonlinear programming calculation based on the power control data to obtain a power distribution sequence, dividing the power distribution sequence into a quick response section, a dynamic transition section and a steady state maintenance section according to a preset threshold value, and solving a control value by adopting an augmented Lagrange equation, recursive least square operation and a Lyapunov function respectively. Obtaining a power control instruction; and inputting a power control instruction into the disturbance observer, calculating a dynamic error value, constructing a nonsingular terminal equation, and outputting a power regulation signal in combination with recursive minimum entropy calculation and a superhelix algorithm.

The invention discloses an Internet of Vehicles communication resource allocation method based on federal multi-agent deep reinforcement learning, and belongs to the technical field of deep crossing of intelligent transportation, wireless communication and distributed machine learning. According to the technical scheme, in an Internet of Vehicles scene, a vehicle is taken as an agent, and local training is performed through a multi-agent depth deterministic strategy gradient algorithm: each agent decides spectrum access, power control and bandwidth allocation based on a local state; asynchronous federation learning is adopted, each agent uploads local model parameters to a global server, weights are dynamically adjusted based on model updating quality, communication quality and updating frequency, and a global model is generated through weighted aggregation; and issuing the updated global model to an intelligent agent to realize distributed privacy protection and dynamic optimization of communication resources. The method has the beneficial effects that the spectrum efficiency, the transmission success rate and the system adaptability are remarkably improved on the premise of ensuring the data security, and the method has wide application prospects and commercial values.

The invention discloses an unmanned aerial vehicle cluster interaction method and system based on an ad hoc network, and belongs to the technical field of unmanned aerial vehicle communication and cluster control. The method comprises the following steps: acquiring positioning information, energy parameters and task types of an unmanned aerial vehicle group to generate a clustering node set; predicting a cluster moving direction based on the motion acceleration data of the clustering node set, and generating a dynamic path planning instruction; allocating a main communication channel and a standby channel according to the dynamic path planning instruction, and generating a channel allocation result; monitoring a signal quality parameter of the main communication channel according to a channel allocation result, and triggering a link switching instruction when interference is detected; and constructing an interference thermodynamic diagram based on the topological relation of the clustering node set, and generating a power adjustment instruction. According to the invention, through dynamic clustering, mobile prediction, adaptive channel management, interference sensing switching and topology power control, the communication stability, reliability and resource efficiency of the unmanned aerial vehicle cluster in a complex environment are improved.

The invention overcomes the constraints imposed by conventional wireless communication standards by introducing a physical-layer optimized architecture that decouples transmission control from any single protocol. Rather than being confined by the predefined behaviors of LTE, 5G NR, Wi-Fi, or NB-IoT, the system implements a unified control system that dynamically manages radio parameters—such as modulation, coding, and power—based on real-time link quality and network context. This cross-standard, multimode capability effectively supersedes traditional standard-driven implementations, enabling adaptive, low-latency, and spectrum-efficient communication in complex heterogeneous environments.The system dynamically controls radio access network (RAN) and physical layer parameters, including carrier aggregation, dynamic spectrum allocation, modulation and coding scheme (MCS) adaptation, beamforming configuration, channel coding, transmit power control, and frequency selection. The system architecture includes multi-mode base stations, relay nodes, and edge access points that support inter-RAT handover, fast radio link recovery, and seamless mobility across diverse wireless technologies.

The invention discloses an integrated scheduling system for realizing a PCS, an EMS and a BMS, and relates to the technical field of power control, and the system comprises a multi-dimensional performance evaluation module which constructs a battery aging dynamic model, carries out the training, carries out the health state pre-judgment through the battery aging dynamic model based on a standardized state vector, and generates a multi-dimensional performance evaluation index; the multi-objective optimization module is used for generating a collaborative scheduling strategy set by combining a fuzzy analytic hierarchy process with a multi-objective optimization solver of an improved genetic algorithm based on the multi-dimensional performance evaluation indexes; the dynamic derating module is used for generating an executable instruction queue with security constraints by combining an industrial internet of things protocol stack with a dynamic derating coefficient algorithm based on the collaborative scheduling strategy set; according to the invention, through the physical driving characteristic layer and the dynamic parameter calibration layer, the nonlinear coupling modeling of the cyclic attenuation and calendar aging mechanism in the battery aging dynamic model is realized.

Systems, methods, and instrumentalities are described herein regarding power control and link adaptation for cross-division duplex (XDD). A wireless transmit / receive unit (WTRU) may receive a grant associated with transmission of an uplink (UL) signal. The grant may indicate a first set of resource blocks (RBs). The WTRU may determine a frequency gap (FG) between the first set of RBs and a reference RB. The WTRU may adjust one or more transmit (Tx) parameters based on the determined FG. When the determined FG is less than a pre-defined threshold, the WTRU may reduce one or more of a transmit power or a modulation coding scheme (MCS) level associated with transmission of the UL signal scheduled by the grant. The WTRU may transmit the UL signal using the adjusted one or more Tx parameters.

The invention discloses a network construction type VSG output power decoupling method based on voltage signal composite feedforward, relates to the technical field of power electronic control, and provides a network construction type converter grid-connected system and a method for realizing converter output power decoupling through converter output voltage signal composite feedforward for network construction type VSG power synchronous control. Comprising a network construction type VSG power control module, a power grid parameter detection unit, a line impedance observer, a virtual impedance voltage drop feedforward loop and a voltage signal secondary feedforward loop. According to the composite feed-forward control strategy, virtual impedance and voltage amplitude and power angle compensation are combined, the coupling effect of active power and reactive power is remarkably weakened, efficient decoupling is achieved, and the method is suitable for a complex power grid environment.

The invention discloses an unmanned aerial vehicle anti-collision method and system based on LoRa communication, and belongs to the technical field of risk avoidance of multiple unmanned aerial vehicles. The method comprises the following steps: constructing an ad hoc network communication architecture to realize flight state broadcast and synchronization; fusing the multi-source data by adopting a space-time alignment algorithm, and constructing a dynamic airspace situation map taking a local machine as a center; calculating a time window and space overlapping probability of the predicted intersection; a multi-priority dynamic negotiation protocol is considered, and autonomous decision making of the unmanned aerial vehicle cluster in a scene without a central node is supported; and dynamically adjusting the flight path, speed and height through a collaborative obstacle avoidance algorithm. Through a spread spectrum modulation technology and an adaptive power control mechanism, over-the-horizon communication coverage of more than 10km level is realized; through fusion of a kinematics prediction model and a risk quantification algorithm, millisecond identification and hierarchical response of collision threats are realized, a global optimal avoidance strategy is achieved, communication delay and calculation bottleneck brought by centralized decision are effectively avoided, and the real-time collaborative obstacle avoidance capability in a complex airspace is ensured.

Methods and apparatuses for power control and beam management to enable coexistence of radar sensing and wireless communication. A method for a UE includes determining a sensing category or characteristics for a sensing application, and selecting a spatial filter for radar sensing transmission or reception based on determined sensing category or characteristics. The method further includes identifying a radar sensing transmission power and transmitting or receiving radar sensing signals using the spatial filter and the identified radar sensing transmission power. The method further includes reporting one of communication blockage, radar sensing beam information, or CSI adapted to the radar sensing beam information to a base station or neighboring UEs.

The invention relates to the technical field of power management, and provides a power distribution method based on BMS power control and related equipment thereof. The method comprises the following steps of: performing multi-mode synchronous acquisition and self-adaptive preprocessing on detected battery pack global state data to obtain a battery state tensor, and performing unsteady-state signal decomposition and time-space feature extraction on a received load power demand signal to obtain a power component matrix; performing multi-constraint dynamic planning on the battery state tensor and the power component matrix to obtain an initial power distribution strategy, performing dynamic correction in combination with a deep reinforcement learning model to obtain an adaptive distribution strategy, and performing multi-layer circuit equalization optimization on the adaptive distribution strategy to obtain a power regulation instruction set; and finally, performing multi-physics field coupling verification and fault-tolerant reconstruction on the power regulation instruction set to obtain an execution signal sequence. According to the invention, through data fusion, demand prediction, strategy optimization and deep learning, power distribution is accurately regulated and controlled according to the battery state and the load power demand.

The invention provides an unmanned aerial vehicle full-band countering method and system based on acousto-optic-electric composite detection. According to the invention, through synchronous cooperative detection of sound wave sensing, optical imaging and electromagnetic spectrum analysis, a composite detection signal is generated; based on the relevance between the acoustic characteristic frequency band and the electromagnetic control frequency band, extracting the working mode characteristics of the unmanned aerial vehicle and generating dynamic interference parameters; generating a synchronous interference instruction according to the time domain modulation characteristic of the dynamic interference parameter; in combination with abnormal noise distribution characteristics captured by the acoustic module and flight path offset identified by the optical module, power distribution and frequency band coverage of the interference instruction are corrected in real time, and optimized interference parameters are generated; and finally, a dynamic interference map is generated through overlapping frequency spectrum fusion of the dynamic interference parameters and the optimized interference parameters, accurate cooperative suppression is realized, full-band real-time accurate suppression of navigation, communication and power control signals of the target unmanned aerial vehicle is realized, and the countering efficiency in a complex scene is remarkably improved.

Methods, systems, and devices for wireless communication are described. A user equipment (UE) may receive a message scheduling transmission, by the UE, of uplink control information (UCI) in a physical uplink control channel (PUCCH) resource. The UE may receive an indication that the UE is scheduled to transmit the UCI in the PUCCH resource to both a first transmission-reception point (TRP) and a second TRP. The UE may also receive a first set of uplink power control parameters for transmitting the UCI to the first TRP and a second set of uplink power control parameters for transmitting the UCI to the second TRP. The UE may transmit the UCI to the first TRP and to the second TRP in the PUCCH resource, based on the first set and the second set of uplink power control parameters, and without an uplink control channel beam indication.

A base station transmits, to a wireless device, a control message indicating to switch from a first frequency range for a cell to a second frequency range for the cell. The base station receives, from the wireless device via the second frequency range, at least one uplink signal. A value of a power control parameter used for a transmission power of the at least one uplink signal is maintained based on the second frequency range overlapping with the first frequency range.

Methods and apparatuses for radio frequency exposure mitigation via beam selection for random access procedure. A method for performing a random access (RA) procedure includes receiving information for a set of downlink reference signals (DL RSs). The method further includes determining: a set of DL reference signal received powers (RSRPs) corresponding to the set of DL RSs, a set of spatial filters corresponding to the set of DL RSs, a set of exposure levels corresponding to the set of spatial filters, a first DL RS from the set of DL RSs based on the set of DL RSRPs and the set of exposure levels, and a first spatial filter corresponding to the first DL RS. The method further includes transmitting a physical random access channel (PRACH), a physical uplink shared channel (PUSCH), or a physical uplink control channel (PUCCH) using the first spatial filter.

The invention provides a fault ride-through control method and system for a network-forming converter, and relates to the technical field of power electronics. The fault ride-through control method of the network construction type converter comprises the following steps: determining a real-time virtual impedance value corresponding to a control loop based on a virtual admittance control module; in response to the fact that the real-time virtual impedance value is larger than or equal to the reference virtual impedance value of the control loop, transient current output by the network-building type converter is adjusted based on first-stage current limiting, and steady-state current output by the network-building type converter is adjusted based on second-stage current limiting; calculating an active power proportionality coefficient based on the real-time parameter and the reference parameter; calculating a target active power reference value according to the active power proportionality coefficient and the reference active power reference value; and executing power control based on the target active power reference value, and adjusting the output voltage of the network-forming converter. According to the method, when the power grid breaks down, the grid-forming type converter can have the functions of current limiting and transient synchronization stability improving at the same time.

The invention discloses an offshore wind power low-frequency networking system based on hybrid topology and a control method, in N onshore receiving end nodes of the offshore wind power low-frequency networking system, one node adopts an M3C current converter, N-1 nodes adopt DRU and MMC current converters, an offshore low-frequency power grid voltage is established through the M3C current converter, and the M3C current converter is connected with the M3C current converter; the power flow control of other power control nodes is realized through the DRU and the MMC, and by adopting the technical scheme of the invention, the engineering construction cost can be obviously reduced under the condition of ensuring the reliable operation of the system, and the method has a good application prospect.

The invention relates to the technical field of radio over fiber communication, in particular to a power control method, circuit and system. The control method comprises the following steps that a radio frequency link gain model is established, a truth table of the mapping relation between a target power value and the attenuation amount of the variable attenuator is pre-stored in a microcontroller, and the truth table comprises joint correction parameters of a temperature compensation coefficient alpha (T) and an environment attenuation factor beta (d). According to the power control method, circuit and system provided by the invention, accurate power control of B3 and N78 frequency band radio frequency amplification circuits is realized through cooperative work of a microcontroller unit and a variable attenuator.

The invention discloses a single-chip microcomputer hierarchical dormancy control method based on dynamic power consumption prediction, and relates to the technical field of single-chip microcomputer low power consumption control, and the method specifically comprises the steps: building a mapping relation between a load current and a clock frequency; setting a dynamic dormancy threshold value; constructing a dynamic power consumption prediction model; a dormancy strategy is designed, module-level power consumption management and single-chip microcomputer function-based power consumption management are adopted, the callable frequency or the maximum operation duration of each function is distributed according to task priorities and battery residual energy consumption, and single-chip microcomputer peripherals are triggered through events and are independently awakened; and executing the sleep strategy, automatically awakening the single chip microcomputer according to a preset awakening condition, and realizing abnormity positioning and processing based on threshold comparison and power consumption monitoring in the process of executing the sleep strategy. According to the invention, module-level power consumption management and single-chip microcomputer function-based power consumption management are realized, the limitation of traditional global dormancy is broken, the need of overall reset during wakeup is avoided, and the response speed is improved while the energy consumption is reduced.

The invention relates to the technical field of foundation pit monitoring, in particular to a foundation pit monitoring system of a self-repairing wireless sensor network and a method thereof, which realize high-precision (+ / -0.5 mm) displacement monitoring by integrating a multi-source heterogeneous data acquisition module, a self-diagnosis processing module, a predictive fault management module, a network topology management module and an intelligent resource scheduling module. The system adopts multi-dimensional information fusion and preprocessing, the perception capability is improved, nodes and network states are comprehensively monitored through a hierarchical health degree evaluation system, a foundation is laid for fault prediction and active maintenance, the system can dynamically adjust a network topology structure, resource allocation is optimized by using a reinforcement learning algorithm, and the system has a wide application prospect. Node task allocation, communication power control and sampling frequency adjustment are effectively executed, and the efficiency and reliability of foundation pit monitoring are remarkably improved.

The invention relates to the technical field of electric power control, in particular to a multi-virtual power plant collaborative scheduling method and system based on mixed games and carbon transactions. The method comprises the following steps: acquiring parameters of each virtual power plant, reading a carbon quota allocation scheme and a carbon transaction market price released by a power grid, and establishing a virtual power plant operation cost expression containing a carbon transaction cost; constructing a non-cooperative game model, and obtaining a preliminary optimal output strategy of each virtual power plant by taking minimization of the operation cost of the virtual power plant as a target; the operation state of the virtual power plant is detected, if the risk that renewable energy consumption is insufficient or the total carbon emission exceeds the standard exists, a cooperative optimization mechanism is triggered, a plurality of virtual power plants are selected to form a joint optimization group, and the joint optimization group is regarded as an independent participant to obtain an optimal output strategy again; and issuing the optimized scheduling instruction to each virtual power plant for execution according to the optimal output strategy, and participating in carbon market transaction according to the actual carbon emission and the quota difference in the settlement period.

The invention discloses a generator non-inductive access grid-connected method, device and equipment, and provides a reliable data basis for subsequent operation by collecting a power grid state and generator operation monitoring parameters in real time. Power grid frequency is calculated at multiple time points, and a real-time frequency curve is constructed and used for analyzing stability, predicting changes, comparing generator current output frequencies to identify frequency differences and evaluating coordination. Frequency synchronization is realized by using minimum difference time point detection, the time point is marked to optimize frequency control, and grid-connected stability and safety are guaranteed by combining dynamic frequency adjustment and synchronous frequency error estimation. In the aspect of power control, power fluctuation is reduced through transient power suppression optimization, and the adaptability of the generator is enhanced through dynamic feed-forward compensation control. In addition, manual intervention is reduced through intelligent non-inductive grid-connected optimization, an intelligent grid-connected engine is constructed, seamless butt joint of a generator and a power grid is achieved, grid-connected efficiency and safety are comprehensively improved, and system complexity and risks are reduced.