339 results about "Power sharing" patented technology

The invention discloses an edge computing power sharing method, an edge computing power sharing device, edge computing power sharing equipment and a medium, and the edge computing power sharing method comprises the following steps: connecting edge nodes through a decentralized P2P network, constructing a network connection module, and realizing computing power resource sharing among the nodes; collecting and monitoring computing power resource state data of each edge node through a computing power resource management module, judging nodes in an idle state through an evaluation algorithm, and adding computing power resources of the nodes into a shared pool; the node matching module is used for screening out an optimal matching node from the shared pool by utilizing a preset screening algorithm according to task demand information released by a computing power demand side; and the distribution execution module sends the task instruction to the selected optimal node from the cloud, and after the task is executed, the node releases the computing power resource and performs expense settlement through the charging module. According to the method, the utilization efficiency of computing power resources is optimized through decentralized node management and an intelligent matching mechanism, so that edge computing resources are more easily integrated and utilized.

The invention relates to the technical field of computing power sharing, in particular to a computing power sharing system and method in a multi-tenant environment, and the system comprises a computing power monitoring module, a load analysis and prediction module, a task priority judgment module, a resource optimization configuration module and a fault management module. According to the invention, by implementing real-time resource monitoring and data analysis and accurately capturing the speed and mode of resource consumption, the resource allocation is more accurate, the waste of computing power resources is avoided, the response capability is improved, the load prediction is generated by using historical and real-time data, the computing power resources can be ensured to be fully utilized in the peak period of demand, overload is avoided, and the service life of the system is prolonged. Through intelligent analysis of the resource utilization rate and the predicted completion time and optimization of priority ranking of the tasks, the emergency tasks can be rapidly responded, implementation of a real-time computing power distribution strategy is achieved, high-efficiency computing power resource use is guaranteed, the stability and reliability of the system are improved, and the cost problem caused by fault response delay is reduced.

Extension of power efficient paging in a wireless network. In some examples, information is buffered for a time period corresponding to a paging slot, or both the paging slot and at least one adjacent slot. The buffered control information is processed to detect paging downlink control information (DCI) and a tracking reference signal (TRS). Based on the processing, the paging message is scheduled in a physical downlink shared channel (PDSCH) in the paging slot. In some examples, quasi-co-located (QCL) processing may be performed on the TRS and the paging DCI paging message, and a paging message is scheduled, based on the QCL processing, in a physical downlink shared channel (PDSCH) in a same or offset paging slot.

The invention discloses a power sharing charging control method, system and device for a multi-power cabinet charging pile. The power sharing charging control method for the multi-power-cabinet charging pile comprises the steps that the sharable power and the required power of a plurality of power cabinets are obtained, and the sharable power of the power cabinet without the required power is the maximum output power of the power cabinet; according to the sharable power and the required power of the plurality of power cabinets, roles of the plurality of power cabinets are determined, and the roles comprise borrowing and borrowing of the power cabinets; and according to the demand power of each borrowed power cabinet, the sharable power is allocated to the borrowed power cabinet, and the priority of the power demand of the borrowed power cabinet is greater than the power demand shared to the borrowed power cabinet. By adopting the embodiment of the invention, all sharable power of the borrowed power cabinet can be distributed to the borrowed power cabinet for use, so that the power is utilized to a greater extent, the waste of the power is avoided, the maximum output power of the single gun of the whole pile is effectively improved, and the charging efficiency of the vehicle is improved.

The invention relates to the technical field of electric energy distribution, in particular to an intelligent power distribution system and a power distribution method.According to the intelligent power distribution system and method, power flow paths and load density distribution are defined by collecting load distribution values of nodes of a power distribution network and calculating power flow, line transmission loss and load value density of load transmission paths among the nodes; according to the method, a data foundation is laid for subsequent dynamic adjustment, partition node power requirements and transmission path characteristics are integrated by adopting an alternating direction multiplier method, a dynamic partition model is established, a global problem is decomposed into a local optimization sub-problem in a partition optimization process, partition boundary adjustment and power balanced distribution are realized through iterative calculation, and a partition node is optimized. A greedy algorithm is adopted to screen load priorities and demanded quantities, the electric energy guarantee capability of high-priority loads is improved, through adjustment of a voltage offset range and dynamic adjustment of reactive power compensation equipment, the influence of voltage fluctuation on power balance between partitions is effectively reduced, the voltage stability is improved, and the energy consumption and the power loss are reduced.

A quantum-distributed microgrid controller employing a synchronization mechanism by leveraging the quantum properties of qubits. Since the distributed control problems of electrical networks such as microgrids can be modeled as networked differential equations, a proposed master equation is leveraged to construct the network of differential equations. By characterizing proper observables, expectation values of all the observers at all nodes will eventually get synchronized to a possibly time-varying target value and the synchronization rule follows the forced Kuramoto model. The quantum synchronization scheme is exploited to regulate AC microgrids' frequency and DC microgrids' voltage and guarantee precise power sharing. Due to the superposition feature of qubits, the QDC provides a foundation for introducing more enhanced quantum-secure distributed control for microgrids through randomizing the θ angle of qubits in the initialization step, which finally results in an unprecedented security for distributed control of AC and DC microgrids.

The invention discloses a hierarchical collaborative optimization distribution method for grid-connected reactive power of a multi-distributed optical storage converter, and belongs to the field of grid-connected control of the multi-distributed optical storage converter. The method comprises local layer control and optimal distribution control of grid-connected reactive power support power of a network layer, and the local layer control realizes a conventional voltage control type virtual synchronous generator algorithm and a virtual impedance algorithm according to parameters of each distributed optical storage converter. By adding the virtual impedance algorithm, the system stability can be improved, the design range of network layer control parameters is enlarged, and the reactive power optimization distribution effect is improved; the network layer control realizes grid-connected reactive power optimal distribution of the multi-distributed optical storage converter on the basis of the local layer control; through cooperation of local layer control and network layer control, grid-connected reactive power sharing of the multi-distributed optical storage converter, improvement of voltage control precision and enhancement of system stability are jointly realized.

The invention discloses a vehicle-mounted computing power sharing scheduling method based on user driving behavior analysis, and the method comprises the steps: 1), evaluating the vehicle computing power sharing priority based on the historical driving behavior data of a vehicle-end user and the current state of a vehicle; 2) the user side sends a computing power request to the cloud side; 3) based on the vehicle computing power sharing priority, the cloud side dispatches one or more vehicle side computing power with the highest priority, responds to the computing power request, and uploads a response result to the cloud side; and 4) the cloud side summarizes the response results and transmits the response results to the user side. According to the method, the driving style data is subjected to clustering analysis, the vehicle starting computing power sharing time is dynamically determined, the method does not depend on a charging pile, and the idle computing power of the vehicle is effectively utilized.

The invention provides an edge gateway computing power sharing method based on an MQTT protocol. An edge terminal sends a computing power request to an edge gateway through the MQTT protocol, wherein the computing power request comprises a computing task type identifier and a priority identifier; after receiving the computing power request, the edge gateway dynamically schedules heterogeneous computing resources of a built-in neural network processing unit (NPU) and a built-in central processing unit (CPU) according to a computing task type identifier and a priority identifier; and the edge gateway executes a corresponding calculation task by using the scheduled calculation resource, feeds back a processing result to the edge terminal initiating the request through an MQTT protocol, and synchronizes own calculation power state information.

The Disclosed technology proposes a novel fast Electric Vehicle (EV) charging topology with adaptive power management and power sharing between different ports and different charging stations to fulfill the wide range and high charging power requirements of EV chargers. The proposed charging station topology consists of two charging ports, each port consisting of N number of parallel modules. Each module consists of a cascaded T-type AC / DC converter and dual active bridge (DAB) converter. These modules are distributed equally over two charging ports with the ability to reconfigure this distribution adaptively to fulfill the power requirements on each port.

A control system for a direct current (DC) microgrid is described. The control system includes a DC bus with a positive bus line and a negative bus line, DC battery circuits with a positive coupler connected to the positive bus line and a negative coupler connected to the negative bus line, switches including a control input terminal located in each DC battery circuit, a distributed generator circuit connected to the DC bus, a constant load power circuit connected to the DC bus, a computing device connected to each control input terminal, the DC bus, the distributed generator circuit and the constant load power circuit. The computing device includes an electric circuitry, a memory, and at least one processor to determine a DC bus voltage, determine the SoC of the DC battery circuits, generate PWM signals that control the DC bus voltage, and balance the SoC of the DC battery circuits.

The invention discloses a rail transit multi-system fusion platform, and relates to the technical field of intelligent operation and maintenance of rail transit vehicles, and the platform comprises a fusion platform host, a communication switch, an application system and terminal equipment thereof. The core of the system is that logic functions of all application systems are packaged in an SDK mode, interaction with a fusion platform host is achieved through a unified API interface, computing power sharing of hardware resources such as an AI module and an MPU module in the host is achieved through a 10-gigabit PCIE bus, a SWITCH switch module dispatches data transmission in a unified mode, the independent computing capacity of a subsystem is reserved, and the data transmission efficiency is improved. By means of the framework, the newly-added system does not need to additionally deploy a host, the function can be expanded only by accessing terminal equipment meeting the standard, the limitation that in a distributed framework, hardware needs to be added to the newly-added system is effectively solved, and elastic reuse of the hardware resources is achieved.

The invention discloses a multi-agent collaborative power sharing double-layer nested game virtual power plant optimization method based on risk assessment and user satisfaction, which belongs to the field of virtual power plant optimization and comprises the step of constructing multi-agent collaborative multi-virtual power plant nested game double-layer optimization research of multi-scene risk assessment and user satisfaction. A power distribution network operator serves as an upper-layer leader and interacts with a lower-layer virtual power plant alliance through price guidance, and balanced management of risks and benefits is achieved. The members of the virtual power plant alliance optimize the internal power transaction and enhance the flexibility and response capability of the system by sharing idle resources and responding to price signals. A user satisfaction quantitative index is added in the model, a virtual power plant scheduling strategy is optimized, and the requirements of user comfort and service quality are met while economic benefits are improved.

The invention provides a grid-connected system and method based on parallel operation power equalization of synchronous motor units, and relates to the technical field of new energy and electric power engineering. The system comprises a new energy station power generation system and a parallel synchronous motor unit group, wherein the parallel synchronous motor unit group at least comprises two synchronous motor units which have the same electrical parameters and are connected in parallel; the first end of the parallel synchronous motor unit group is connected with the new energy station power generation system, and the second end is connected with the power grid. The method comprises the following steps: connecting one ends of all synchronous motor units to the same power supply bus, applying excitation current to the motor at the end, applying excitation current to the motor at the other end, then measuring the generator end voltage waveform, adjusting the relative mechanical angles of the synchronous motor units according to the measurement result, and ensuring that the relative mechanical angles of all the motor units are equal. And power equalization between parallel synchronous motor units is realized. The system structure can be simplified, the cost can be reduced, and the reliability and the flexibility of the new energy grid-connected system can be improved.

The invention discloses an inverter parallel current sharing control method based on virtual reactive voltage self-adjustment, and belongs to the technical field of coordination control of parallel inverters. Compared with traditional droop control, the reactive power equalization degree can be well improved, and the reactive power equalization effect and the response speed when the load power changes are enhanced. According to the invention, the relation between the output power and the output impedance of the inverter is deeply analyzed, the characteristics of loop chain control and traditional droop control are combined, and a reactive loop chain and self-adjusting virtual reactive voltage control are introduced, so that the virtual impedance can realize self-adaptive adjustment according to circular chain type tracking of reactive power output by a parallel module; mismatch between output impedances of the parallel modules is compensated, and output reactive power balance of the parallel modules is achieved. In addition, the voltage of a common coupling point does not need to be measured, the requirement for a communication network is low, the system reliability and safety are higher, and good reference value is provided for engineering application.

An example aircraft includes a parallel propulsion unit, the parallel propulsion unit comprising: a propulsor configured to provide forward propulsion of the aircraft; a gas turbine engine configured to drive the propulsor; an electrical machine configured to generate, for output via one or more electrical busses, electrical energy using mechanical energy derived from the gas turbine engine; and a power sharing module configured to control a ratio of the mechanical energy derived from the gas turbine engine used to drive the propulsor and used to generate electrical energy; and a plurality of series propulsion units, each series propulsion unit comprising a respective propulsor of a plurality of propulsors that are configured to provide forward propulsion of the aircraft and a respective electrical machine each configured to drive a respective propulsor of the plurality of propulsors using electrical energy received from one or more electrical busses.

An example aircraft includes a parallel propulsion unit, the parallel propulsion unit comprising: a propulsor configured to provide forward propulsion of the aircraft; a gas turbine engine configured to drive the propulsor; an electrical machine configured to generate, for output via one or more electrical busses, electrical energy using mechanical energy derived from the gas turbine engine; and a power sharing module configured to control a ratio of the mechanical energy used to drive the propulsor and used to generate electrical energy; and a plurality of series propulsion units, each series propulsion unit comprising a respective propulsor of a plurality of propulsors that are configured to provide vertical propulsion of the aircraft and a respective electrical machine of a plurality of electrical machines, each respective electrical machine configured to drive a respective propulsor of the plurality of propulsors using electrical energy received from one or more electrical busses.

The invention provides a direct-current boost collection converter of an offshore wind power full-direct-current sending-out system, and the converter can quickly suppress residual direct-current fault current, so that quick direct-current fault isolation is realized by utilizing a direct-current switch. And the fault clearing time is obviously shortened from about 500ms to below 14ms, so that rapid system recovery is realized. The working principle of the topology under the conditions of normal operation and direct-current fault is elaborated, and enhanced power equalization control is provided, so that direct-current voltage and current equalization among sub-modules of the topology is realized. In addition, after interleaving control is adopted, the number of direct-current reactors of the topology is remarkably reduced. A simulation result verifies the effectiveness of the hybrid DC / DC converter and the control scheme thereof in the aspects of blocking fault residual current and promoting direct current fault ride-through by using the DCS.

The embodiment of the invention discloses a control system of a multi-voltage bus hybrid micro-grid. The control system comprises a control layer and a hardware layer, wherein the medium-voltage direct-current bus is used for being connected with a distributed energy module of which the power is higher than a first set power value; the low-voltage direct-current bus is used for connecting an equipment assembly of which the power is lower than a second set power value, and the equipment assembly at least comprises a direct-current load of which the power is lower than a set value and a data center load; the AC bus is compatible with a traditional power grid and an AC load; the main control layer is used for realizing closed-loop regulation of voltage and current; the auxiliary control layer realizes the consistency of multi-bus voltage and frequency based on state estimation, bus impedance identification and virtual inertia control; and the comprehensive power management layer realizes cross-bus energy balance and power sharing based on a model predictive control and optimal scheduling algorithm. The technical problems that in the prior art, a control layer and a hardware layer of the multi-voltage bus hybrid micro-grid are independent of each other, a cooperative relation is lacked, and the dynamic self-adaptive adjustment type is poor are solved.

The invention provides an active support control method for a single-phase cascaded optical storage grid-connected system, aiming at challenges caused by fluctuation, intermittency and reverse peak regulation of photovoltaic resources in a photovoltaic energy consumption process and the problem of insufficient active support capability of a micro-grid for a large power grid under the access of high power electronic equipment. The low-voltage photovoltaic units are boosted by inverter cascading, and each photovoltaic unit is equipped with stored energy to stabilize photovoltaic fluctuation. A grid-side current source inverter is controlled by a virtual synchronous generator (VSG), so that the active support of the inverter on a large power grid frequency is ensured; other voltage source inverters adopt power factor angle droop control, and an active power compensation item is introduced, so that self-synchronization between the inverters and accurate power equalization between energy storage units are ensured. Compared with a traditional control method, the method can control active power and reactive power at the same time, has frequency supporting capacity, is low in communication cost, and provides a new solution thought for the problem of large-scale photovoltaic grid connection.

The invention discloses an electric ship standby battery control strategy based on improved droop control. The electric ship standby battery control strategy comprises the following steps: step 1, constructing a cooperative work model of an electric ship standby battery and a main battery; 2, improving a traditional droop control strategy through a translation droop curve, and achieving power equalization; step 3, based on the improved droop control strategy in the step 2, compensating voltage offset by using a fuzzy algorithm to improve the voltage control precision; and 4, accurately distributing the output current of each direct current bidirectional converter through output current information interaction between the main battery direct current bidirectional converter and the standby battery direct current bidirectional converter. According to the electric ship standby battery control strategy based on improved droop control, the output power of the standby battery can be rapidly and accurately adjusted according to the real-time operation state of the electric ship, and the electric ship standby battery control strategy has the practical application value for maintaining the voltage and frequency stability of a ship electric power system and improving the comprehensive utilization efficiency of energy.

The invention relates to the technical field of AI computing power scheduling, in particular to an AI computing power sharing scheduling system based on a cloud native architecture, which comprises a data acquisition and convergence module, a resource portrait construction module, a resource efficiency optimization module, an operation and maintenance self-healing module and a closed-loop feedback module, the data acquisition and convergence module is responsible for acquiring cluster dynamic operation data and AI task life cycle data; a resource portrait construction module respectively constructs resource portraits for the computing nodes and the AI tasks based on the data; the resource efficiency optimization module executes a resource optimization decision through a Kubernetes scheduler and a cluster management queue according to the resource portrait; the operation and maintenance self-healing module executes a predictive operation and maintenance decision through a Kubernetes API based on the resource portrait; and the closed-loop feedback module feeds back the execution result of the optimization and self-healing decision as new data to the front-end module, so that continuous updating of the resource portrait and self-optimization of the system are realized, and a complete intelligent closed loop is formed.

Systems, methods, and instrumentalities are configured for NTN-TN idle mode mobility for network energy savings. A WTRU may receive configuration information for a first and second candidate NTN cell, each associated with different orbit types and power sharing statuses. The WTRU may receive a message to perform suitability determinations for these cells, conduct measurements, and determine if the first cell satisfies suitability conditions based on its power sharing status, orbit type, and measurement. Additionally, the WTRU may receive a second message from a TN cell indicating a shutdown, prompting the exclusion of these TN cells from re-selection.

The bagging device for paper diaper production mainly comprises a conveying device, a device bottom table, a storage box, a pushing mechanism, a bag opening mechanism and a heat sealing mechanism, the storage box is designed to be a single-row narrow-interval storage space, paper diapers are arranged in order through a guide plate, a bottom falling opening is matched with a pushing area to ensure quantitative falling, and the packaging effect is good. The material pushing mechanism adopts a linear motion module to drive a material pushing frame, the functions of pushing paper diapers and closing a falling opening are synchronously completed, the bag opening mechanism achieves self-adaptive opening of a bag opening through a one-way lead screw and spring buffering design and is in linkage with the material pushing mechanism, power sharing is achieved through transmission of a worm gear, a worm and a rack, and the material pushing mechanism is in linkage with the bag opening mechanism. The heat sealing mechanism is controlled through a ratchet wheel and a reciprocating lead screw, and heat sealing action is triggered only when the material pushing frame returns. The device realizes automatic quantitative bagging, bag opening and sealing through mechanical linkage, reduces the use of electrical elements, has the characteristics of compact structure, high efficiency and strong adaptability, and is particularly suitable for standardized packaging production of paper diapers.

Systems including a power supply and multiple chips or die, wherein settings may be configured that when applied to a first one of the chips or die configure the first chip or die to associate a power allocation limit with at least a second one of the chips or die, wherein a sum of the power allocation limit and a power consumption limit of the first chip or die exceeds a total power capacity of the power supply. The systems operate the first chip or die at a lower priority than the other chips or die for receiving operating power from the power supply, and the first chip or die is operated as a master controller of allocation of the operating power from the power supply to the first chip or die and to the other chips or die.

The invention relates to dynamic power sharing with power event feedback. Techniques are described for incorporating telemetry related to power source load and frequency of power control events as part of a power balancing algorithm to control electronic device power budget between devices sharing a common power source. The techniques utilize telemetry and control loop algorithms to dynamically balance power between two or more electronic components, which may include CPUs and GPUs. Techniques described herein are used to monitor power source loads and the frequency of a set of predetermined events, which may include performance and / or power control events. Based on this information, the power budget of the device may be dynamically adjusted up or down to maximize performance, which is compared to conventional use of artificial static performance upper limits.

A wireless transmit / receive unit (WTRU) may receive a first set of simultaneous uplink (UL) grants for transmitting first simultaneous transmissions using a first set of two or more beams. The WTRU may transmit a first power headroom report (PHR) including a first power sharing indication. The first power sharing indication may indicate a first power sharing status for the first simultaneous transmissions. The WTRU may receive a second set of simultaneous UL grants for transmitting second simultaneous transmissions. The second simultaneous transmissions may be transmitted using a second set of two or more beams. The WTRU may determine a second power sharing status for the second simultaneous transmissions. The WTRU may transmit a second PHR when the determined second power sharing status is different than the first power sharing status.

The invention discloses a ship energy sharing management method based on multi-mode adaptive droop control. The ship energy sharing management method comprises the following steps: acquiring shipborne micro-grid data; connecting a plurality of electric ships in parallel with a direct-current micro-grid, and constructing a direct-current micro-grid cluster by using the obtained shipborne micro-grid data; and performing multi-mode adaptive droop control on the constructed DC micro-grid cluster, and coordinating a power control strategy of the whole DC micro-grid cluster. And establishing a small-signal analysis model for the direct-current micro-grid cluster to judge the stability of the system. According to the ship energy sharing management method, decentralized power sharing of a micro-grid cluster based on a plurality of electric ship parallel DC micro-grids is realized through multi-mode adaptive droop control, and a power control strategy of the whole micro-grid cluster is coordinated, so that the micro-grids can operate independently and can also provide power support mutually.

The invention relates to the technical field of intelligent network connection automobiles, and discloses a vehicle-mounted computing power sharing system and method, a storage medium and a program product, and the system comprises a control plane network element, a computing power sharing network management center, an intelligent vehicle, a user plane function network element and a unit computing power dispatching center. The control plane network element is in communication connection with the plurality of user plane function network elements, and the one or more unit computing power dispatching centers are in communication connection with at least one user plane function network element; the computing power sharing network management center is used for defining network slices for communication resources contained in the control plane network element and the user plane function network element, distributing the network slices for the unit computing power dispatching center, and creating a corresponding relation between the unit computing power dispatching center and the intelligent vehicle through a unique identifier of the network slices; when the target intelligent vehicle runs into a network coverage range of a target user plane function network element connected with a correspondingly supported target unit computing power dispatching center, the target intelligent vehicle establishes a resource calling session with the target unit computing power dispatching center through a pre-allocated target network slice; and the target unit computing power scheduling center calls the computing power resources of the target intelligent vehicle through the target network slice. According to the invention, the stability and low cost of the vehicle-mounted computing power sharing network can be considered at the same time.

The invention relates to the technical field of mismatch compensation, and discloses a photovoltaic module series mismatch compensation method and device. The method comprises the following steps: performing clustering analysis processing on a synchronous data set to obtain a mismatch feature vector containing a mismatch degree, mismatch distribution and a mismatch scale; performing direct current conversion processing on the mismatch feature vector through an LLC resonant topological structure to obtain a working parameter set of an MPPT controller; performing optimization processing on the working parameter set of the MPPT controller through a PID parameter setting algorithm to obtain a controller configuration scheme including resonant network parameters and switching frequency; carrying out distributed cooperative processing on the controller configuration scheme through power line carrier communication to obtain a multi-controller power balancing strategy; and performing performance evaluation processing on the multi-controller power balancing strategy through a standard working condition test to obtain a system operation parameter optimization scheme. According to the invention, the efficiency and accuracy of series mismatch compensation of the photovoltaic module are improved.