202 results about "Power sharing" patented technology

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.

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 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.

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 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 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.

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.

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 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 discloses a repetitive control-based circulating current suppression method between grid-forming type energy storage units, and relates to the technical field of power electronics and control, the method adopts three rings of power, voltage and current to regulate and control a grid-forming type multi-machine parallel inverter, a repetitive controller is introduced into a current inner ring, and the repetitive controller is introduced into a current outer ring to control the circulating current between the grid-forming type energy storage units. The method has the advantages that periodic harmonic current is accurately tracked and suppressed, meanwhile, a narrow-band resonance circuit and LC filter state feedback and pole assignment design are introduced into a current loop, LC filter resonance peaks are effectively eliminated through LC filter state feedback and pole assignment, typical harmonic circulation in a parallel system is further suppressed through the narrow-band resonance circuit, and the harmonic current suppression efficiency is improved. Efficient suppression of circulation among the units and uniform distribution of power are further realized; according to the technical scheme, the stable operation of the system can be guaranteed, the power sharing capability and the grid-connected adaptability of the energy storage unit are improved, a complex distributed communication structure is avoided, and the operation reliability of the network construction type energy storage system in a complex power grid environment is improved.

The invention discloses a hybrid micro-grid coordination control method based on hierarchical regulation of interconnection converters, which relates to the technical field of power electronics and comprises the following steps of: constructing physical connection among an alternating-current micro-grid, a direct-current micro-grid and the interconnection converters according to a micro-grid group topology model, and configuring a communication network to establish a communication link between adjacent interconnection converters; a distributed secondary control framework under sparse communication topology is established in each independent micro-grid, and the defects of traditional droop control are corrected through a dynamic consistency protocol; a self-adaptive power mutual aid strategy is designed for interconnection converters among micro-grids, dynamic power sharing among micro-grid clusters is achieved, and reliability of power mutual aid is ensured. Through multi-dimensional data fusion and a distributed consistency algorithm, the operating state of the micro-grid is accurately sensed, the adaptability and the communication efficiency are remarkably improved, in the aspect of multi-time scale coordination, collaborative optimization of different time scale control targets is achieved through a hierarchical control architecture and a dynamic optimization algorithm, and the system performance is improved. The dynamic response and the steady-state precision are effectively considered, and the reliability is enhanced through the multi-energy channel design.

The invention relates to a renewal processing method and device, electronic equipment and a storage medium, and the method comprises the steps: responding to a first request sent by a first terminal, based on a first account carried by the first request, generating assistance sharing information corresponding to the first account, the first request being used for indicating to cancel the automatic renewal of a virtual asset corresponding to the first account; sending the assistance sharing information to the first terminal, so that the first terminal shares the assistance sharing information to each second terminal; acquiring account use information corresponding to the first account and acquiring power-assisted operation information of each second terminal for the power-assisted sharing information; determining a reduction strategy of the renewal virtual assets according to each piece of acquired power-assisted operation information and account use information; and sending the deduction strategy to the first terminal, so that the first terminal completes renewal of the virtual assets based on the deduction strategy. According to the invention, the renewal saving efficiency of potential lost users and the return rate of platform investment are improved.

The invention relates to the technical field of intelligent network connection automobiles, and discloses an automobile computing power sharing system, a resource scheduling method, a storage medium and a program product, and the system comprises a computing power sharing network management center, a unit computing power scheduling center, a core network control plane and a computing power sharing automobile. The core network control plane serves as a public network control center and is used for establishing communication connection with the computing power sharing automobile, so that the computing power sharing automobile is accessed to a public network; the unit computing power dispatching center is used for generating a computing power task and a computing power demand message; the computing power sharing network management center is used for acquiring the vehicle-mounted computing power resources corresponding to the computing power sharing automobiles from the core network control plane and sorting the vehicle-mounted computing power resources according to the network quality of the vehicle-mounted computing power resources to form a computing power supply queue; the computing power sharing network management center is also used for receiving the computing power demand messages of the unit computing power dispatching centers and sorting the unit computing power dispatching centers according to the priorities of the unit computing power dispatching centers to form a computing power demand queue; and sequentially allocating the vehicle-mounted computing power resource with the highest network quality in the computing power supply queue to the unit computing power dispatching center with the highest priority in the computing power demand queue. According to the invention, the computing efficiency of the computing power task in the vehicle-mounted computing power sharing network is improved.

The application provides a charging pile cluster power sharing control method, system and device, which comprises the following steps: calculating the residual power of the charging pile cluster at the current time according to the total power upper limit of the charging pile cluster at the current time, the total number of charging piles possessed by the charging pile cluster at the current time and the actual output power of each charging pile; calculating the weight of each charging pile in distributing the residual power according to the performance state of each charging pile; and obtaining the power output upper limit of each charging pile at the next time according to the residual power at the current time, the weight of each charging pile and the actual output power. The application can automatically adjust the power output upper limit of each charging pile in real time, thereby improving the equipment utilization rate and load utilization rate of the charging station.

The invention discloses a non-communication power equalization method and system for a network-construction-type inverter parallel system, and relates to the field of network-construction-type inverter control design. The objective of the invention is to solve the problems of non-uniform reactive power distribution during parallel operation of a plurality of grid-forming inverters in an island micro-grid and poor dynamic response and low reliability caused by dependence on PCC point voltage measurement or continuous communication in an existing scheme. The method does not need to collect PCC point voltage and continuous communication, after each inverter records initial reactive power, through two steps of virtual impedance disturbance detection matched with the capacity ratio, total reactive power and expected reactive power are deduced by calculating reactive power variation, and then virtual impedance is corrected in real time through integral adjustment, so that the reactive power is accurately equally divided according to the capacity ratio. The system reliability is improved; and the cost is reduced.

The invention provides a power lever mechanism of an energy storage type direct current power flow controller and application. The power lever mechanism comprises the following steps: constructing the energy storage type direct current power flow controller; designing a power coordination control strategy; in a hybrid AC / DC power distribution network, an energy storage type DC power flow controller is connected to each line in series, and controllable voltage sources in the lines are connected in series through energy exchange and constant capacitor voltage values between capacitors on the controller and an energy storage system and between the capacitors; and according to the droop characteristic of the hybrid AC / DC power distribution network, a power coordination control strategy is formulated, and power equalization between DC power grids and regulation and control of AC power grid output power are carried out. The energy storage system is integrated on the basis of a traditional direct current power flow controller, the application mode of the energy storage system in a novel electric power system is enriched, the function and efficiency of the electric power system are remarkably improved, the system can be connected into a power grid in a more flexible and efficient mode, and the energy storage system is suitable for popularization and application. And powerful support is provided for realizing active power coordination control of the hybrid AC / DC power distribution network.

The invention relates to a method for managing power transfer of a turbine engine between a power generation mode and an assistance mode, the turbine engine having a high pressure shaft driving a high pressure electric machine and a low pressure shaft driving a low pressure electric machine, a high pressure power (PHP) being extracted from the high pressure shaft and a low pressure power (PBP) being extracted from the low pressure shaft, the power generation mode corresponding to a predetermined power sharing between the high pressure power and the low pressure power and the assistance mode corresponding to a request for injecting additional power onto the high pressure shaft or the low pressure shaft, in which method, to reach the requested additional power, when the extraction of the high pressure power or the low pressure power is interrupted and the high pressure electric machine or the low pressure electric machine driving the high pressure or the low pressure shaft whose extraction is interrupted enters a motor mode, the remaining power extracted from the high pressure shaft or the low pressure shaft in the generator mode is adjusted according to the high pressure or low pressure injection power output from the high pressure electric machine or the low pressure electric machine which has entered the motor mode.

A smart home power control device includes an AC power input terminal, an AC-DC circuit, a DC voltage conversion circuit, a power distribution circuit, multiple power distribution branches, a multi-channel LED dimming control circuit, several power switches, and a controller. The input and output terminals of the AC-DC circuit are connected to the AC power input terminal and the voltage input terminal of the power distribution circuit, respectively. The voltage output terminal of the power distribution circuit is connected to the voltage input terminals of the multiple power distribution branches. The voltage output terminals of the multiple power distribution branches are connected one-to-one with the voltage input terminals of the multi-channel LED dimming control circuit. Several power switches are connected in series between the voltage output terminals of every two adjacent power distribution branches. The controller controls the operation of the power distribution circuit, the multiple power distribution branches, the multi-channel LED dimming control circuit, and the power switches. This invention enables a single power supply to power multiple loads and supports power sharing.

The invention discloses a power sharing distribution method of a multi-gun charging pile, which belongs to the technical field of charging piles, and comprises the steps of initialization, data acquisition and preprocessing, CCT module power distribution optimization and server global optimization, solves the dynamic power distribution of the multi-gun charging pile, and combines a user priority strategy and abnormity monitoring to realize the power sharing distribution of the multi-gun charging pile. The technical problem of efficient and intelligent charging resource scheduling of the charging pile under different loads and user requirements is solved, the accuracy and stability of charging data are improved, the utilization rate of the charging resources is optimized, the voltage and current states of the charging gun can be monitored in real time, an alarm is automatically generated, the charging pile is controlled to stop, and the charging pile is prevented from being damaged. The system safety is ensured, it is ensured that the charging pile can still efficiently and evenly distribute power under the condition that the load is large, and the charging efficiency is improved.

A distributed small-scale reactor power system includes: a first set of small-scale reactors configured to supply power to a datacenter that includes a plurality of IT racks. The system also includes a set of power converters, where each small-scale reactor is operatively coupled to at least one power converter. Each power converter is also operatively coupled to at least one IT rack. In some aspects, the set of small-scale reactors is configured in a ring topology to provide power sharing and redundancy.

This invention relates to the field of air compressor technology, and provides a multi-functional air compressor, comprising: a housing, wherein a compression chamber is fixedly connected to the rear end of the housing, the input end of the compression chamber is provided with a stable air source through an air inlet assembly, and the air is compressed and pressurized by a pressurization assembly; and a cooling chamber, which is fixedly connected to the rear end of the outer wall of the compression chamber and filled with coolant to absorb the heat generated by the compressed air in the compression chamber. Through a system integration design of power sharing, composite heat exchange, and multi-output, the multi-functional integrated air compressor is achieved, which not only simplifies the equipment structure and reduces energy consumption and manufacturing costs, but also enables a single unit to simultaneously meet diverse application needs such as multi-station high-pressure air supply, efficient thermal management, and portability.

The invention provides a quality data multi-index cross-domain NLP enhanced retrieval and computing power sharing method, which comprises the following steps of: establishing a group headquarter cross-domain quality intelligent platform as a central nervous, and configuring an intelligent retrieval service and data exchange engine basic capability unit for each hierarchical subject; secondly, the basic-level quality management system is connected to the quality intelligent service system to form hierarchical association; and finally, realizing cross-domain retrieval and computing power sharing through intelligent identification, matching functions and cross-node data transmission. According to the method, the data integration problem is solved through the quality information exchange directory, and comprehensive integration and efficient utilization of the quality data are realized; the service collaboration problem is solved through cross-domain data interaction and collaboration, and the collaboration efficiency and the product quality control precision are improved; the technical adaptation problem is solved by deploying a platform and an engine and sharing basic computing power, and stable interaction of data and deep application of the AI technology are guaranteed.

The disclosure provides a method, system and device for controlling power sharing of a cluster of charging piles, comprising calculating a remaining power of the cluster at a current time according a total power upper limit of the cluster at the current time, a total number of charging piles of the cluster at the current time and an actual output power of each charging pile; calculating a weight of each charging pile for distributing the remaining power according to performance state of each charging pile; and obtaining a power output upper limit distributed to each charging pile at the next time according to the remaining power at the current time, the weight and the actual output power of each charging pile. The disclosure automatically adjusts the power output upper limit distributed to each charging pile in real time, thereby improving equipment utilization and load utilization of the charging station.

The invention discloses a computing power sharing method, device and system of an air conditioner, a storage medium and a computer program product.The method comprises the steps that operation state data of the air conditioner and task parameters of a computing power task to be executed are obtained, and the operation state data comprise temperature control related data of the air conditioner and working state data of a compressor; the task parameters comprise computing power demand parameters; based on a preset thermal computing power balance strategy, computing power output configuration is determined according to the operation state data and the task parameters, and the thermal computing power balance strategy is used for distributing computing power resources on the premise that the air conditioner core temperature control function and equipment operation safety are guaranteed; and controlling the air conditioner to execute the to-be-executed computing power task according to the computing power output configuration to realize sharing of idle computing power of the air conditioner. According to the scheme, the air conditioner idle computing power is effectively activated, the conversion efficiency of the air conditioner idle computing power to revenue edge computing resources is improved, the air conditioner core temperature control function and equipment operation safety in the computing power sharing process are guaranteed, and air conditioner idle computing power sharing is achieved.

This invention discloses a cloud platform computing power resource allocation system and method based on load balancing, relating to the field of computing power resource allocation technology. The application includes: constructing a computing power supply and demand matching platform, connecting with idle computing power resource providers, and receiving computing power requests from computing power resource lessors; based on the computing power requests from the lessors, determining the cluster time, and allocating idle computing power resources to the lessors in the cluster; the lessors setting up key communication, and after key verification, the system accessing the cloud platform of the allocated lessor, achieving intelligent decision-making and optimizing the scheduling of allocated idle computing power resources in the cloud platform. This invention can maximize overall resource utilization, reduce operating costs, minimize task execution latency, and improve user experience. Simultaneously, dynamic allocation based on computing power sharing and cluster processing according to different time nodes improves the overall utilization efficiency of computing power resources.

Techniques are provided for a network-controlled repeater (NCR) to share power during simultaneous transmission of control and backhaul links. When the total power used for transmission via the control and backhaul links is below a maximum power used for transmission, the NCR can use a calculated transmit power to transmit each link. Otherwise, the NCR can apply a relative priority for the links, a default priority for each link, a step-wise reduction of power, or a power sharing factor. The power sharing techniques can be based on whether there is an overlap between the links on the same time symbol, where the same or different beams are used for each link, and / or whether a priority flag is being used for the access link. These and numerous other features and examples are described.

The invention relates to a power sharing and allocation mechanism between device components. In one embodiment, a system includes a power source and a plurality of chips or dies, where a setting may be configured that, when applied to a first of the chips or dies, configures the first chip or die to associate a power distribution limit with at least a second of the chips or dies, where the first chip or die is configured to associate a power distribution limit with at least a first of the chips or dies, and where the second chip or die is configured to associate a power distribution limit with at least a second of the chips or dies. The sum of the power distribution limit value and the power consumption limit value of the first chip or die exceeds the total power capacity of the power supply. The system operates the first chip or die at a lower priority than the other chips or dies for receiving operating power from the power source, and the first chip or die operates as a master controller that distributes operating power from the power source to the first chip or die and to the other chips or dies.