329 results about "Power demand" patented technology

The application relates to a power demand side target user identification method and device based on multi-dimensional factor analysis. The method performs field classification according to a historical user power consumption parameter sequence, determines a power consumption parameter sequence contained in a predicted field category, and further obtains a parameter mean sequence and a parameter offset sequence of the predicted field category. The parameter offset sequence is adjusted to a corrected offset sequence according to a prediction probability. A reference threshold sequence is obtained according to the parameter mean sequence and the corrected offset sequence. A target difference sequence is determined according to a target parameter sequence corresponding to a target user and the reference threshold sequence under the same field category. The target user target level is obtained according to the target difference sequence. The historical user power consumption parameter sequence can be adjusted to flexibly adapt to various scenes, the accuracy of target user identification is prevented from being reduced due to dynamic adjustment of the user and the power consumption parameter sequence, and the accuracy of target user identification is further improved based on field category classification.

The application discloses a kind of hybrid harvester drive system and operation mode switching control method, it is related to agricultural new energy machinery technical field, the engine output end of this system is connected with transfer case, the first output end of transfer case is connected with gearbox and drive axle via ISG motor and clutch C1, and second output end is connected with operation mechanism via output PTO and clutch C2;ISG motor is connected with power battery via ISG motor controller.Electric motor and operation motor in motor assembly are connected with power battery via corresponding motor controller respectively, and electric motor drives drive axle, and operation motor independently drives operation mechanism.The application can realize pure mechanical, pure electricity, series charging and discharging and other various driving modes by the cooperation of engine and motor assembly, combined with the on-off control of clutch C1 and C2, meet the power demand under different operation scenarios, improve energy utilization efficiency, reduce energy consumption and emission, simplify transmission structure at the same time, improve system reliability.

This invention provides a method for calculating train emergency waiting load considering dynamic power, belonging to the technical field of emergency power supply load calculation for high-speed trains. For train emergency waiting conditions, this invention establishes a unified calculation framework for coordinated power supply from AC power batteries and DC batteries. Under the premise of prioritizing basic load protection, it comprehensively considers the dynamic power change characteristics of the load, real-time remaining power, equipment fault status, and cumulative operating time, forming a complete calculation process from parameter preset, real-time status acquisition, power demand calculation to iterative output of remaining time. This achieves a relatively accurate assessment of emergency oxygen production, emergency air conditioning, and overall remaining waiting time. This invention enables precise calculation of the remaining available time of the load under emergency waiting conditions, providing reference and suggestions for drivers' emergency response.

The application discloses a cross-cabinet power scheduling method, device and system applied to a charging station, wherein the cross-cabinet power scheduling method can be applied to the technical field of energy management of the charging station, and the method comprises the following steps: when the charging demand of a first power cabinet exceeds the rated total power of the first power cabinet, the dynamic schedulable power of at least one second power cabinet and the peak power demand in a future time window are obtained; wherein the first power cabinet is any power cabinet of the charging station, and the second power cabinet is the remaining power cabinet; the dynamic schedulable power is determined based on the rated total power of the power cabinet, the current load power and the safety margin adjusted according to the real-time state of the internal charging gun; based on the dynamic schedulable power and the peak power demand, the resource occupation priority of each second power cabinet is determined; and the power resource of the corresponding second power cabinet is called through the corresponding cross-cabinet contactor group according to the priority. The application improves the operation stability and power resource utilization rate of the charging station.

The application provides a combined movable multifunctional long-time emergency power supply, comprising a fuel engine for outputting high-frequency three-phase alternating current and a power output control system for controlling output current, wherein the power output control system comprises a rectifier and an inverter, an input end of the rectifier is connected with a power supply output end of the fuel engine, the rectifier inputs high-frequency three-phase alternating current input by the fuel engine after AC-DC conversion to a direct-current bus, a control end of the direct-current bus is bidirectionally communicated with a main controller, and the main controller monitors an instantaneous value of input current on the direct-current bus in real time and controls the direct-current bus to output corresponding direct-current to the inverter and a charge-discharge controller through electric signals respectively. The emergency power supply device of the application can adapt to various load demands: through modular design, different function modules can be flexibly replaced, so as to meet the power load demand of impact, electric vehicle charging, emergency long-time power supply and power grid connection and the power demand of various different scenes.

The present application relates to the technical field of power system automation control, in particular to a fish-light complementary reactive power compensation control method and device; the method comprises the following steps: through real-time acquisition of photovoltaic output, fishery load operation intensity and water surface state and other multi-source information, after time sequence alignment and feature extraction, a unified fish-light complementary operation state index is constructed by fusion; short-term change trend analysis and evolution mode classification are carried out, potential reactive power demand in the future period is predicted, and a smooth and continuous short-term demand index is generated; according to the high and low levels of the demand index, a variety of resources are dynamically matched, a hierarchical priority scheduling and multi-resource parallel compensation strategy is formed; in the compensation execution process, output and system stability indexes are monitored in real time, and dynamic correction is carried out through synchronization deviation and stability deviation; at the same time, trend learning is carried out combined with long-term historical data, and the prediction model and resource allocation strategy are continuously optimized. The present application effectively improves the operation stability and energy efficiency of the fish-light complementary system.

The application discloses a hydrogen fuel cell power supply adaptability ground test method, system, equipment, medium and product of a UAV, relates to the UAV test technical field, obtains the ground test data of the to-be-tested UAV, carries out power demand analysis by using the ground test data, obtains a plurality of motor input total power, a plurality of motor output shaft power and weighted average propeller force efficiency, carries out power supply test on the preset hydrogen fuel cell by using each motor input total power, obtains a safety detection result and a plurality of variable load power response times, when the safety detection result is qualified, then carries out power supply adaptability detection according to each variable load power response time, each motor input total power, each motor output shaft power and weighted average propeller force efficiency, and obtains a power supply adaptability detection result. The application solves the problem that the existing hydrogen fuel cell lacks the safety buffer and power regulation capability of lithium batteries, which easily leads to the risk of stack overheating and reduces the reliability of the hydrogen fuel cell in the application of the UAV.

This application discloses a method, a power cabinet, and a power distribution control system for controlling power distribution from a power module to a charging terminal. A power distribution method includes: a power control unit determining a power distribution mode for one or more charging terminals, including: obtaining the number of available modules in the power module; calculating the required number of modules based on the power demand from one or more charging terminals and the rated power of a single power module; comparing the required number of modules with the number of available modules; determining an efficiency-priority mode or a power-priority mode as the power distribution mode based on the comparison result; the power control unit selecting a target power module and determining a target power path based on the power distribution mode; and the power control unit sending an instruction to a power distribution unit, causing the power distribution unit to invoke the target power module to distribute power to the charging terminal by controlling the operation of a switch associated with the target power module and the target power path.

This application discloses a control method, apparatus, and parallel system for a parallel system, belonging to the field of photovoltaic-storage systems. The control method for the parallel system includes: in the event of a communication link failure in the parallel system, determining target adjustment parameters for each disconnected subsystem based on a first total power generation capacity corresponding to the equipment connected to the disconnected subsystem and a second total power generation capacity of the parallel system; and controlling the operation of each subsystem based on the target adjustment parameters. The control method of this application enables each disconnected subsystem to continuously perform local power scheduling within permissible power limits, maintaining the normal operation of the parallel system to meet power demand, reducing the probability of shutdown, reducing the curtailment rate, and effectively improving the utilization rate of photovoltaic-storage equipment.

The application discloses a charging module control method and equipment based on efficiency optimization and health balance, which is used to solve the problems of the existing charging control, such as the superficial health management, the coarse efficiency optimization granularity, the passive and blind scheduling, the uneven module aging, and the too frequent switching. The method obtains charging data of a charging terminal, predicts power demand of the charging terminal in a next period, obtains operation data of each charging module, judges the health degree of each charging module based on a health degradation quantitative model, determines the switching number of the charging module required by the charging terminal in the next period according to the predicted power demand, and selects the charging module to be switched in the next period according to the switching number in combination with the health degree, calculates a health degree dispersion coefficient according to the health degree of all online charging modules, and determines to execute an efficiency optimization strategy or a health balance strategy according to the health degree dispersion coefficient.

This invention relates to the field of clean energy power generation technology, and proposes a three-source coupled synergistic power generation device based on hydropower, gravity, and kinetic energy. The device includes a water storage tank, a wheel, an upper water tank, an upper water baffle, a closed-loop water tank pump system, a main shaft, counterweight grooves, counterweight blocks, high-pressure spherical bearings, buffer springs, and a dual-start transmission power generation assembly. The wheel diameter is unlimited and can be arbitrarily enlarged according to actual power demand. The wheel size is directly proportional to the output torque and power generation. The upper water tank is circularly arranged on the wheel. The closed-loop water tank pump system is installed on the upper side of the water storage tank. Multiple counterweight grooves are arranged in a circular array on both sides of the top water tank of the wheel. Multiple high-pressure spherical bearings are respectively installed at the bottom of each counterweight block. Multiple buffer springs are symmetrically installed on the upper and lower sides of each counterweight groove. This technical solution solves the problems of limited power output, single starting method, low energy conversion efficiency, and inability to operate with zero carbon emissions in traditional power generation equipment.

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

The application relates to a hybrid inverter two-way battery off-grid power distribution method, which is applied to the field of energy storage system control and comprises the following steps: judging the working mode of a two-way battery, and calculating the total effective capacity of the two-way battery according to the working mode; calculating a current distribution proportion coefficient of the two-way battery according to the total effective capacity and the real-time acquired terminal voltage of the two-way battery; and distributing the total current reference value of the real-time acquired bus voltage to the two-way battery according to the current distribution proportion coefficient, so as to realize off-grid power distribution of the two-way battery. The application has the technical effect that the total power of the two-way battery can be accurately and quickly distributed in an off-grid scene, and the mutation of the load power demand can be matched in real time.

This disclosure describes a method and apparatus for optimizing fuel consumption of a hybrid electric vehicle, wherein a method includes: determining road information for a road segment to be driven by the electric vehicle corresponding to a first time length; predicting the total power demand of the electric vehicle at each preset time point within the first time length based on the road information and vehicle model parameters of the electric vehicle; determining an equivalent fuel consumption factor of the power battery at each time point based on the current state of charge, target state of charge, and the predicted total power demand at each time point of the electric vehicle's power battery; and providing a first equivalent fuel consumption factor obtained based on the equivalent fuel consumption factor of the power battery at each time point to a control unit of the electric vehicle for controlling the power distribution between the electric vehicle's fuel engine and power battery.

This invention discloses a fuel cell hybrid propulsion system and its power fluctuation-consumption synergistic optimization method. The system includes a fuel cell power generation unit, a lithium-ion battery unit, an electric drive unit, a sensing and data acquisition unit, and an energy management controller. Based on near-end strategy optimization, an intelligent agent is constructed with system state and operating condition information as input and power source power allocation commands as output. A reward function integrating total energy consumption penalty and power fluctuation penalty is designed to drive the intelligent agent to learn the optimal energy management strategy in a continuous action space. This invention can suppress frequent and drastic fluctuations in lithium-ion battery power, extend battery life, ensure system safety, and minimize overall hydrogen fuel consumption while meeting dynamic power demand and safety constraints. It achieves synergistic optimization of long-term operational economy and system output stability, enabling efficient, smooth, and long-life operation of the hybrid propulsion system in dynamic environments.

The application discloses a power configuration method and device based on power and computing power cooperation and electronic equipment. The method comprises the following steps: obtaining target computing power tasks and power operation data in a power configuration period; determining a plurality of computing power devices based on the target computing power tasks; determining a power supply topology based on the power operation data and the plurality of computing power devices; determining a power deviation cost parameter corresponding to a first computing power task and a power variation cost parameter corresponding to a second computing power task; and determining a target power configuration based on a power demand parameter corresponding to the target computing power task, the power operation data, the power supply topology, the power deviation cost parameter and the power variation cost parameter. The application solves the technical problem of high power configuration cost in the related art when the power configuration is performed on the computing power system based on the cooperation between the power and the computing power.

The application provides a performance test method, system, device and medium of a parallel converter, the parallel converter comprising a plurality of first devices and a plurality of second devices; each device comprises at least two modules; the module types comprise first modules and second modules; the method comprises: controlling the first modules to operate in a voltage source mode and the second modules to operate in an alternating current source mode; sending a power reference value instruction to realize parallel power test of each module; controlling the first devices to operate in the voltage source mode and the second devices to operate in the alternating current source mode; sending the power reference value instruction to realize parallel power test of the devices, and obtaining a performance test result of the parallel converter. By controlling part of the modules or devices in the parallel converter to be in the voltage source mode and simultaneously controlling another part of the modules or devices to be in the alternating current source mode, the power demand for external test power supply can be reduced.

Embodiments relate to a virtual power plant system based on self-demand response. A system according to an embodiment relates to a virtual power plant system that analyzes in real time at least one of power demand data, power generation amount data, electricity price data, and distributed power information and provides the result of the analysis in order to enable an individual consumer to perform self-demand response (Self-DR) using a user terminal.

The application discloses a low-carbon energy dispatching system of wisdom park source network load storage cooperation, relates to the wisdom park energy dispatching technical field, and the system includes the data acquisition module and gathers the distributed power output, the energy storage charge and discharge state and the load power demand time series data; the prediction analysis module is associated with the power output data and the weather forecast data, generates the short-term output prediction curve; the net load calculation module calculates the difference value of supply and demand, generates the net load fluctuation curve; the energy storage dispatching module plans the energy storage charge and discharge plan by overall planning the peak valley arbitrage and the frequency modulation standby capacity; the load management module generates the load reduction instruction containing the reduction time length and the compensation price by combining the adjustable load response potential and the net load low valley period. The system can improve the energy storage utilization efficiency and the power grid stability, reduce the influence of load reduction on the park power consumption, realize the wisdom park energy low carbonization and fine collaborative scheduling.

This invention relates to the field of electric vehicle charging station technology, specifically to an energy control strategy for bidirectional demand response in energy storage-based electric vehicle charging stations. The strategy includes the judgment conditions and execution commands required for the control process. The judgment conditions include: whether a vehicle is charging; peak / valley / normal times; existence of emergency demand from the external power grid; battery charge status; and a comparison between the vehicle's charging power demand, the battery's maximum discharge power, and the maximum power input from the power grid to the charging station. The control strategy primarily selects energy storage charging / discharging control and grid-side power supply control during peak / valley / normal times based on the grid-user bidirectional demand response. This includes grid-connected master-slave control and off-grid islanding control switching according to load size at different times, maximizing user charging needs while minimizing charging costs.

This invention relates to the field of charging equipment technology, specifically to an intelligent power controller for orderly charging of charging piles. It includes: a demand classification unit, used to classify the charging power demand data of multiple charging piles to obtain a demand classification result; wherein the demand classification result includes priority charging power demand, shift charging power demand, and safety protection power demand; and a conflict coordination unit, used to receive the demand classification result, detect resource conflicts between priority charging power demand, shift charging power demand, and safety protection power demand, and coordinate the conflicting demands to obtain a coordinated demand classification result. This invention, by arranging priority charging power demands in descending order according to the preset service level of the charging piles, and forcibly locking safety protection power demands as the highest priority, ensures that emergency vehicles, important users, or safety-critical needs can obtain power resources, avoiding situations where users are unable to complete necessary charging due to power limitations.

The application discloses a multi-energy complementary zero-carbon campus AC / DC microgrid configuration method and system, relates to the technical field of communication network energy management, and comprises a photovoltaic power generation unit, a wind power generation unit, an energy storage unit and a communication base station load, specifically comprises the following steps: collecting system state data of the microgrid, wherein the system state data comprises real-time wind and light power generation power, an energy storage unit state of charge, base station load power demand and real-time carbon intensity information; based on the system state data, a base station microgrid multi-time scale optimization scheduling model is constructed by fusing dynamic carbon perception; by establishing a carbon flow tracking model and embedding it as an endogenous variable and a constraint condition into the optimization scheduling model, the operation optimization logic of the microgrid is fundamentally changed, carbon emission is changed from a post-event statistical index into a pre-event control target and a process constraint, and synchronous optimization and minimization of energy flow and carbon flow are realized.

The application discloses a power satellite-ground fusion optimal power safety communication method, device and system, and relates to the technical field of power system communication safety. The method comprises the following steps: collecting required data; in the satellite beam coverage range of power satellite-ground communication, quantifying the threat degree of eavesdroppers based on the collected data to obtain a threat value; performing power splitting operation based on the threat value and the collected data to obtain a power allocation result, and then selecting a corresponding safety algorithm scheme in combination with the threshold range where the threat value is located, power business time delay and computing power demand power; constructing and solving a power satellite-ground fusion optimal power allocation model to obtain a power satellite-ground fusion optimal power allocation result applicable under all safety algorithm schemes. The application can realize accurate balanced control of power business safety and transmission performance under the condition of limited satellite power through multi-eavesdropper threat quantification, safety algorithm dynamic adaptation and satellite-ground power optimization.

This application proposes a method, device, electronic device, and storage medium for regulating the operation of charging piles. The method includes: obtaining the reference available power of the charging pile system at a target time based on the power supply and distribution data corresponding to the charging pile system; obtaining the required power of the charging pile system at the target time based on the operating data of the charging pile system, the charging demand data of users corresponding to at least one charging pile in the charging pile system, and the users' historical charging data; and regulating the power of at least one charging pile in the charging pile system based on the relationship between the reference available power and the required power at the target time. This application regulates the power of charging piles based on the power supply capacity of the upstream power supply and distribution circuit and the charging power demand, thereby improving electrical safety.

This invention relates to the field of energy storage technology, specifically disclosing an energy storage system and its control method. The energy storage system includes: an AC bus; a common DC bus; DC loads and AC loads, with the DC loads connected in parallel to the common DC bus and the AC loads connected in parallel to the common DC bus via a DC-AC converter. The DC and AC loads perform power mutual assistance according to power mutual assistance commands; an energy storage device connected in parallel to the common DC bus, which charges or discharges according to a target power command; and a controller connected to the common DC bus, DC loads, AC loads, and energy storage device, which controls the charging or discharging of the energy storage device according to the total power demand of the energy storage system when there is power surplus or deficit in the DC and AC loads. The energy storage system of this invention eliminates the need for separate configuration of two sets of energy storage hardware, enabling hardware sharing and unified control of both AC and DC loads. Simultaneously, it avoids the failure of load smoothing effects due to model errors.

This disclosure relates to a vehicle control method, apparatus, electronic device, and vehicle, the vehicle comprising: a supercapacitor, a fuel cell, and a hydrogen internal combustion engine; the method comprising: acquiring the power demand of the vehicle during driving, a first SOC value of the supercapacitor, the current fuel cell power output of the fuel cell, and the current internal combustion engine power output of the hydrogen internal combustion engine; determining a target operating mode corresponding to the vehicle based on the power demand; determining target output power corresponding to the fuel cell, the hydrogen internal combustion engine, and the supercapacitor respectively based on the target operating mode, the first SOC value, the current fuel cell power, and the current internal combustion engine power; and controlling the vehicle to drive based on the target output power corresponding to the fuel cell, the hydrogen internal combustion engine, and the supercapacitor respectively.

Embodiments of the present application provide a fuel cell control method, device and electronic equipment. The fuel cell control method comprises determining a locomotive traction power demand prediction value at each time in a future preset time window according to current position information of the locomotive and front line data, and combining a locomotive traction force balance equation; determining a total output power prediction sequence required by the locomotive in the future window time according to the traction power demand prediction value and combining parasitic power consumption of an auxiliary system of the locomotive; determining a working condition type of the locomotive in the future preset time window according to the total output power prediction sequence; and outputting a control instruction for each stack in the multiple stacks of fuel cells according to the working condition type.

Provided is an energy management device and the like in which system inertial force is ensured. This energy management device (10) comprises a target system inertial force calculation unit (121) that calculates, on the basis of a power demand prediction value of a power system including a renewable energy power source and a synchronous power source, and a renewable energy power generation amount prediction value that is a power generation amount prediction value of the renewable energy power source, a target surplus power amount that is a target value of a portion of the power generation amount of the renewable energy power source which is used for producing hydrogen, and calculates a target system inertial force of the power system. Fuel used for power generation of the synchronous power source includes hydrogen produced by power generated by the renewable energy power source. The energy management device further comprises a power generation planning unit (122) that calculates, on the basis of the power demand prediction value, the renewable energy power generation amount prediction value, the target surplus power amount, and the target system inertial force, a target synchronous power source power generation amount that is a target value of a power generation amount of the synchronous power source in each time band.