1113 results about "Power efficient" patented technology

The invention discloses a ship main power and auxiliary power real-time switching method and system based on large model optimization, and relates to the technical field of ship power system control, and the method comprises the steps: collecting the operation state data and environment parameters of a ship main power system and an auxiliary power system in real time through a multi-mode sensor array; and performing space-time alignment and noise suppression processing on the operation state data and the environment parameters, inputting the feature subset into a lightweight large model inference engine, generating a multi-target optimization decision set, executing a main and auxiliary power dynamic switching control sequence in a preset time window according to the multi-target optimization decision set, and outputting the main and auxiliary power dynamic switching control sequence. And generating a self-optimization log including a switching efficiency evaluation report and a model iteration suggestion based on the deviation degree of the switching feedback data and a preset performance index. According to the ship main and auxiliary power real-time switching method and system based on large model optimization, stable operation of a ship power system is guaranteed, and meanwhile the service life of equipment is prolonged.

The invention discloses a commercial building energy monitoring and intelligent control method and device and a storage medium, and belongs to the technical field of building intelligent control, and the method comprises the steps: collecting data, building a nonlinear mapping relation, and generating an energy consumption demand prediction tensor; injecting an adversarial disturbance sample, and evaluating the robustness of the prediction model; in combination with the energy consumption baseline, performing cross confirmation and correction on the prediction data exceeding the threshold value; performing attribution analysis on the corrected energy consumption sequence to generate an energy consumption attribution map; adjusting the solution of a multi-objective optimization function according to the atlas, and generating an optimal cooperative control strategy; and the comprehensive efficiency is used as a reinforcement learning reward, strategy parameters are iteratively updated, and a control knowledge base is formed. According to the method, a closed-loop control framework integrating robust demand prediction, dynamic attribution analysis, collaborative optimization decision and a self-evolution strategy is adopted, intelligent regulation and control of building energy consumption can be realized, and the long-term adaptive optimization capability is improved.

The invention discloses a power generation efficiency optimization method for a floating photovoltaic power generation system. The method comprises the following steps: analyzing the motion response of a floating body in a marine environment, and determining the boundary condition of the floating body swinging under the action of waves; based on hydrodynamic analysis software AQWA, a hydrodynamic analysis model of the floating body is built, and the pitching angle of the floating body is verified; in combination with an inclined surface irradiance calculation model, an improved particle swarm algorithm is adopted for optimization, and the initial inclination angle of the photovoltaic panel when the photovoltaic panel receives solar radiation energy to the maximum extent is solved; in combination with different wave conditions of a certain sea area, simulation software is used for performing dynamic simulation on the floating body and the assembly, the influence of different environmental conditions on the power generation efficiency is analyzed, and the effectiveness of the scheme is verified. According to the method, the optimal initial angle is determined by optimizing the initial mounting inclination angle of the assembly, fully considering the movement condition of the floating body under the action of waves and combining the influence of different wave conditions, the radiation quantity received by the assembly is maximized, and the defects in the aspects of laying design, dynamic adaptability and power generation efficiency in the prior art are overcome.

The invention relates to the field of digital twinborn technology and industrial equipment intelligent operation and maintenance, and discloses an electric power screen cabinet heat dissipation efficiency improvement and thermal management comprehensive analysis system, which comprises an offline modeling module for constructing a thermal order reduction model with efficient calculation through a model order reduction method based on high-fidelity CFD simulation data; the real-time data acquisition module is used for acquiring real-time power consumption, sparse sensor temperature and an expected load curve; the online state estimation module is used for fusing physical prediction of the thermal reduced-order model with real-time sparse measurement data and reconstructing a global three-dimensional temperature field of the power screen cabinet in real time; and the prospective scheduling analysis module is used for taking the current global temperature field as an initial condition, driving the thermal reduced-order model to perform prospective deduction by utilizing an expected load curve, and calculating and outputting a future thermal margin to early warn a thermal risk. According to the invention, comprehensive real-time sensing, prospective risk prediction and self-adaptive correction of the thermal state of the electric screen cabinet are realized, and thermal management is converted from passive response to active prevention.

The invention discloses a ship power system optimization control method and system based on a simulated annealing algorithm, and relates to the technical field of ship power control, and the method comprises the steps: obtaining operation parameters and historical energy consumption data in real time, and constructing a multi-objective optimization function of dynamic weight distribution; generating an initial temperature parameter and a solution set in combination with the navigation state and the environment data; a neighborhood search strategy disturbance solution set is improved, a new solution is evaluated by using a dynamic acceptance probability function, temperature parameters are adaptively adjusted for iterative optimization, and an optimal control parameter combination is output; and an adjustment instruction set is generated after multi-dimensional efficiency verification, and a propulsion device, a generator set and an energy storage module are cooperatively controlled, so that global energy consumption optimization is realized. According to the method, through data driving and intelligent algorithm fusion, energy efficiency and environmental adaptability are improved, and stable operation under complex working conditions is guaranteed. According to the ship power system optimization control method and system based on the simulated annealing algorithm, the energy efficiency level and the environmental adaptability of the ship power system are improved.

The invention belongs to the technical field of intelligent electric meters, and discloses an intelligent electric meter system with an abnormal power consumption behavior recognition function. The system is composed of a data acquisition module, an electric energy quality monitoring module, a data preprocessing module, a power utilization behavior feature extraction module, a short-time behavior monitoring module, an anomaly detection and diagnosis module, a behavior trend analysis module, an alarm and visualization module and a remote collaborative management module. Through deep mining and learning of historical power utilization data of a user, the system can accurately grasp power utilization habits, time period change rules and load characteristics of the user, along with dynamic evolution of power utilization conditions, the system can automatically optimize an anomaly detection threshold value, limitation brought by a traditional fixed threshold value is abandoned, and through the personalized and adaptive design, the power utilization efficiency of the user is improved. The system can exert the optimal efficiency in different regions and different types of users, and the application range and the practicability of the system are remarkably improved.

The invention discloses a power transmission line inspection abnormity early warning method based on multi-mode perception and digital twinning, and belongs to the technical field of power transmission line monitoring. The problems that in the prior art, inspection efficiency is low, multi-source data utilization is insufficient, early warning lags behind and closed-loop control is lacked are solved, and efficient on-site processing and feature fusion of data are achieved by deploying a multi-modal sensing terminal cluster and a layered edge computing node; a digital twinborn model fusing multi-physical field simulation and data-driven AI is constructed at a cloud end, so that virtual-real interaction and deep analysis of a physical mechanism and real data are realized; the health state of the power transmission line is evaluated based on the deep analysis result, multi-stage early warning can be generated accordingly, a reverse control instruction is triggered, closed-loop control from state perception and intelligent diagnosis to active intervention is finally formed, and the intelligent level and operation and maintenance safety efficiency of power transmission line inspection are remarkably improved.

The invention discloses a multi-source cooperative power distribution network fault self-recovery and recovery optimization method, system and device and a storage medium, and relates to the technical field of power system power distribution networks, and the method comprises the steps: collecting the electrical quantity and parameters of each node in real time, and obtaining system state information through data processing; detecting faults by using a multi-criterion algorithm, and determining types and severity; determining a fault section according to a result and minimizing isolation; a collaborative recovery strategy is formulated by integrating multiple sources, and network reconstruction and switching operation optimization are carried out; and finally evaluating a recovery effect, and combining with a historical data feedback adjustment strategy to improve the recovery efficiency. The fault recovery capability of the power distribution network can be remarkably improved, the fault isolation is fast, the load recovery rate is high, the recovery time is short, the economic loss is reduced, the self-healing of different fault scenes is strong, and the unification of technology and economic benefits is realized.

The invention relates to the technical field of nuclear reactor safety, and particularly discloses a reactor waste heat export, recovery and comprehensive utilization system and method based on a heat pipe, and the system comprises a nuclear energy generation system, a secondary loop energy conversion system, a primary loop waste heat discharge system, a secondary loop waste heat discharge system, and a waste heat recovery and comprehensive utilization system. According to the waste heat recycling system, the heat pipe can be used for heat transfer and storage under the peak regulation operation condition, the nuclear heat use efficiency is remarkably improved, the requirements of various types of energy sources such as electricity and heat are met, and passive export of reactor core waste heat can be achieved through multi-natural-circulation coupling cooperative operation under the condition of a whole-field outage accident. By means of the efficient heat transfer characteristic and the modularization characteristic of the heat pipes, independent operation of the heat pipes can be achieved, the problem of single-point failure of the system can be avoided, meanwhile, separation of a reactor coolant and a cooling medium of a waste heat removal system can be achieved, the inherent safety of a nuclear reactor is remarkably improved, and the requirements of multi-purpose scenes are met; and the purpose of fully utilizing resources is achieved.

The invention relates to the technical field of heat dissipation of energy storage converters, and discloses a PCS inverter intelligent partition liquid cooling heat dissipation system, which comprises a differential partition liquid cooling module, and realizes accurate on-demand heat dissipation based on a dynamic priority algorithm of component load, temperature gradient and function importance. The multi-mode intelligent switching module is integrated with a prediction model based on a time sequence convolutional network and can be actively and automatically switched among a natural cooling mode, a liquid cooling circulation mode and a refrigeration enhancement mode; and the multi-parameter flow control module is used for dynamically adjusting the flow of each subarea through a micro proportional valve and a speed-adjustable pump according to parameters of components, cooling liquid and a system. According to the method, the optimal balance between the heat dissipation efficiency and the system energy consumption is realized by utilizing the advantage that the TCN efficiently processes the time sequence data, the operation reliability and the service life of the PCS inverter under different working conditions are remarkably improved, and the method is suitable for scenes such as household use, industrial and commercial use and energy storage power stations.

The invention relates to an urban rail transit station ventilation and air conditioning system cooperative control method, device and equipment based on dynamic energy efficiency optimization and a medium. Constructing an energy efficiency model of the ventilation and air conditioning system by combining the energy efficiency curved surface characteristics of the water chilling unit and the cubic law power consumption characteristics of the frequency conversion equipment; an intelligent optimization algorithm is adopted, a dynamic scaling temperature feasible domain of chilled water of a water chilling unit and a frequency interaction limitation domain of frequency conversion equipment are constructed, the feasibility of a temperature set value is kept, meanwhile, coupling constraints in the frequency conversion equipment are decoupled, and an optimal parameter combination is solved; and the optimal parameter combination is issued to an execution layer, the actual energy efficiency ratio deviation of the system is monitored in real time, and energy efficiency model parameter re-calibration or iterative optimization is triggered according to a deviation threshold. Therefore, the overall energy efficiency of the ventilation air conditioning system is stably improved, and efficient operation under the dynamic working condition is achieved.

The invention provides an electric energy quality on-line monitoring device and a cloud platform cooperation system, and relates to the technical field of electric energy quality management, and the device comprises a signal collection unit which obtains three-phase voltage and current signals in parallel through a Rogowski coil and a capacitive voltage divider; the event detection unit is used for synchronously executing harmonic spectrum analysis and transient event capture by adopting a parallel processing architecture realized by an FPGA (Field Programmable Gate Array); the edge processing unit is connected with the event detection unit, and is configured to encode the transient event features into a Gramer angle field image and compress steady state data into feature vectors; the multimode communication unit comprises a 4G / 5G wireless module and an optical fiber Ethernet interface; and the strategy execution interface outputs a treatment instruction to the compensation device through the D / A converter and the current loop. Through collaborative innovation of the device and the cloud platform, the power quality monitoring and treatment efficiency is remarkably improved.

The application discloses a low-temperature cooling water cooling air-cooled island cleaning robot path planning method and system, and belongs to the technical field of robot control, comprising: based on the air-cooled island fin layout drawing, initializing the workspace grid, setting the reference parameter; driving the cleaning robot to collect multi-dimensional data, calculating the actual friction coefficient of the measured grid through the main friction coefficient and the torque auxiliary friction coefficient, for the unmeasured grid, linear extrapolation is carried out through the gradient to construct the real-time friction field; obtaining the ideal contact force vector, constructing the kinematics model to obtain the joint required torque, and calculating the joint angle adjustment amount, generating the control instruction and executing through the feedforward friction compensation and PID feedback control, constructing the wear amount estimation model, obtaining the current estimated wear amount, and calculating the core index, generating the rating report, continuously improving the operation efficiency, realizing the unity of the efficiency and equipment safety of the air-cooled island cleaning.

The invention discloses a power industry language model training data dynamic selection method, system and device, and the method comprises the steps: obtaining original scene corpus data based on a power industry power grid dispatching and fault handling application scene aimed at language model training, and constructing a candidate data pool and a scene verification data set; performing parallel or pipelined multi-dimensional quality evaluation on the candidate data in the candidate data pool, dynamically adjusting the weight corresponding to each dimension in the multi-dimensional quality evaluation based on an adjustment strategy, and calculating to obtain a comprehensive quality score; a failure case library is constructed, in the language model training process, the failure case library is updated regularly, semantic relevance between candidate data and the failure case library is quantified, and batch construction of training data is carried out based on the semantic relevance; and based on the batch construction result, performing language model training feedback circulation. According to the invention, the overall efficiency and utilization rate of training data are effectively improved.

The invention discloses a megawatt electric hydrogen energy hub peak regulation capability evaluation method and system, and the method comprises the steps: constructing an electric-hydrogen-heat multi-physics field coupling model, outputting a megawatt electric hydrogen energy hub dynamic digital twin body, carrying out the peak regulation demand feature extraction, outputting a peak regulation demand matrix with a timestamp, and carrying out the hydrogen energy storage dynamic feature analysis. And outputting a hydrogen energy storage peak regulation capability map, carrying out multi-objective optimization decision-making to obtain a peak regulation optimization scheduling scheme, implementing Monte Carlo reliability simulation, outputting a risk-efficiency balance scheme, and determining a megawatt electric hydrogen energy hub peak regulation capability evaluation result based on a toughness index. According to the method, the electric-hydrogen-thermal multi-physics field coupling model and the dynamic digital twins are constructed, and Monte Carlo reliability simulation and toughness index evaluation are combined, so that the peak regulation capability can be comprehensively and accurately evaluated, complex working conditions and extreme scenes are effectively considered, and the evaluation reliability and accuracy are improved.

The invention provides a motor control method and a vehicle, and relates to the field of vehicles, and the method comprises the steps: determining historical operation data of the vehicle, namely, a historical load time sequence and a historical temperature time sequence of a motor; on the basis of historical operation data, the change characteristics of the load and temperature of the motor under different time scales are determined through a specified characteristic extraction network, and the comprehensiveness of the change characteristics is improved; predicting the load and the temperature of the motor according to the historical operation data and the change characteristics to obtain a target prediction time sequence, namely, a prediction load time sequence and a prediction temperature time sequence; and distributing the target direct-axis current and the target quadrature-axis current to the motor according to the target prediction time sequence. According to the method, the future load and temperature are predicted based on the historical load and temperature of the motor, the quadrature-direct axis current of the motor is distributed according to the future load and temperature, the distribution reasonability of the quadrature-direct axis current is ensured, the operation efficiency of the motor is improved under the condition that the torque requirement is met, and the vehicle performance, efficiency, driving experience and cruising ability are improved.

The invention discloses an enhanced braking system for a mountain railway vehicle, which relates to the technical field of railway vehicle braking control, and comprises the following steps: acquiring a rail position vector and an arc length, calculating a rail curvature and a rail gradient, and combining the current speed and the target speed of the vehicle to solve a braking demand acceleration value and generate a gradient parameter and a curve parameter; according to the braking force distribution proportion, a wheel rail hydraulic braking torque value is adjusted, the meshing depth and the vibration frequency of a rack rail brake are controlled through a rack rail action instruction, and a wheel rail system state report and a rack rail work log are generated; and gradient parameters, actual adhesive force numerical values and toothed rail meshing efficiency in the braking process are extracted from a wheel-rail system state report and a toothed rail work log, and closed-loop optimization is carried out in combination with a terrain braking curve. Self-learning and self-adaptive adjustment are carried out on the braking process through closed-loop feedback and parameter optimization, so that the energy utilization efficiency is improved and the service life of key components is prolonged while the braking efficiency is guaranteed.

The invention provides an intelligent operation and maintenance scheduling method and system applied to wind power generation, and relates to the technical field of wind power generation. Firstly, an efficiency influence association network of a wind generating set is constructed, and directed association edges among equipment operation elements, environmental action elements and efficiency output elements are covered; then identifying an efficiency fluctuation sensitive node set based on the efficiency influence association network, executing operation and maintenance demand prediction for the set, and generating an operation and maintenance task planning scheme containing a node repair priority and a node collaborative maintenance strategy; then, according to an operation and maintenance task planning scheme and a real-time operation and maintenance resource state containing a personnel skill matrix and a tool adaptation vector, a resource collaborative scheduling model is constructed, an operation and maintenance resource allocation instruction is output through the resource collaborative scheduling model, and according to an operation and maintenance execution result, an association edge weight of the efficiency influence association network is updated; and intelligent scheduling of wind power generation operation and maintenance is realized.

The technology described herein is directed towards a design and implementation of a subarray of unit cells for an active reconfigurable intelligent surface that is power efficient. The reconfigurable intelligent surface design integrates a switch and a power amplifier in subarrays of unit cells to selectively amplify the reflected signal, resulting in a selectively active reconfigurable intelligent surface with relatively low power consumption. Further, rather than equipping each unit cell with its own switch and power amplifier, a switch and power amplifier is shared by each m×n (e.g., 3×3) subarray of unit cells, which can be arranged as a module of a larger reconfigurable intelligent surface. Via the switch, the design provides a device for receiving and reflecting the electromagnetic signal as an amplified or non-amplified signal by coupling the RF energy, processing, and selectively amplifying or not amplifying the reflected signal.

The invention relates to an electro-hydrogen conversion new energy base capacity planning configuration optimization method, belongs to the technical field of new energy, and solves the technical problems of seasonal imbalance, excessive conservative traditional robust optimization, imperfect evaluation system and insufficient multi-energy flow coupling optimization in existing new energy base capacity configuration. Comprising the steps of obtaining historical data in a new energy base scheduling period; generating a typical scene set based on the historical operation data, constructing a confidence interval of the wind and light output uncertainty of the new energy base, and obtaining a confidence robustness gamma value; constructing an electricity-hydrogen collaborative capacity optimization model with the goal of maximizing the comprehensive efficiency of the new energy base power system; converting the electricity-hydrogen collaborative capacity optimization model into a robust optimization model based on the confidence interval and the confidence robustness gamma value of the wind-solar output uncertainty; and solving the robust optimization model by using a CPLEX solver to obtain a new energy base capacity planning configuration scheme. And reliable low-carbon operation of the new energy base is realized.

The invention relates to the technical field of electrochemistry and energy storage, and discloses a battery life and charging efficiency equalization optimization method and system, and the method comprises the steps: extracting the capacity fading rate, internal resistance change trend and temperature sensitivity of a target battery; analyzing the real-time health state of the target battery and the battery chemical model, and establishing a dynamic reference charging curve of the target battery; defining a charging efficiency threshold value and an IDR safety limit value of the target battery; monitoring battery charging data in the charging process of the target battery in real time so as to analyze the current charging efficiency and the instantaneous attenuation rate of the target battery, and establishing a dual-target optimization function of the target battery; and the charging efficiency equalization parameters of the target battery are generated by using the dual-objective optimization function, and the charging efficiency equalization parameters comprise the optimized charging voltage, the optimized charging current and the optimized charging pulse interval, so that the service life of the battery can be prolonged, and the equalization optimization effect of the charging efficiency can be improved.

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

The invention provides an ocean carrier follow-up wave power generation device which comprises a cylindrical linear generator, a linear motion sliding table, a bistable motion unit and a steering adjusting unit, the cylindrical linear generator is placed on the linear motion sliding table, and the whole motor can slide; the two sides of the upper sliding rail are fixedly connected with an upper supporting rod frame in the bistable motion unit, the lower sliding rail is connected with a bistable motion frame in the bistable motion unit, and the bistable motion unit is placed on the steering adjusting unit to form the whole structure of the power generation device. The device can be mounted on various suitable ocean carriers, and the power generation efficiency of the power generation device is improved by utilizing a bistable motion principle; by combining a cylindrical linear generator, a linear motion sliding table, a bistable motion unit with a bistable motion spring as a main tool and a steering adjusting unit, bistable motion power generation based on a cross potential energy trap is achieved, the energy capture efficiency when the wave energy frequency is low is improved, and the power generation adaptability of the device to different sea conditions is improved.

The invention relates to the technical field of electromagnetic compatibility, in particular to a new energy automobile electronic part EMC (Electro Magnetic Compatibility) multi-dimensional simulation verification method, which comprises the following steps of: based on a geometric structure and material attributes of a new energy automobile electronic part, identifying an abnormal field intensity region, extracting a signal path and an electromagnetic wave incident direction, and analyzing an overlapping relationship between the signal path and the electromagnetic wave incident direction; according to the method, the electromagnetic field distribution and the interference source of the parts are accurately modeled and analyzed, the shielding and filtering design is optimized, the electromagnetic compatibility is improved, the interference coupling point is identified, the shielding effectiveness and the filtering effect are evaluated, the optimization policy is identified, the electromagnetic field distribution after optimization is analyzed, the fluctuation data of the external electromagnetic field is captured, and the influence evaluation list of the external electromagnetic field is generated. The reliability of the design under actual working conditions is ensured, electromagnetic interference is prevented, stable work of parts in a variable electromagnetic environment is ensured, the electromagnetic compatibility of the whole automobile is improved, the influence of electromagnetic interference on the functions of the new energy automobile is reduced, the design effect is optimized, and the performance and safety are improved.

The invention discloses a power grid equipment differential inspection planning method and system combined with meteorological data, and belongs to the technical field of power system operation and maintenance, and the method comprises the steps: obtaining the equipment information of power grid equipment and the meteorological data of a target region; determining a basic risk score based on the equipment information, and constructing a space-time coupling meteorological risk field in combination with the meteorological data; extracting a meteorological influence intensity value according to the geographic position of the equipment, and calculating a comprehensive risk score; making a routing inspection arrangement according to the comprehensive risk score, fusing routing inspection resource constraints and road passage weather restrictions, solving a multi-target routing inspection path optimization model, and generating a routing inspection task sequence and a resource allocation scheme; inputting the scheme into a power grid digital twinborn simulation platform, simulating in a matched meteorological scene, and outputting a power supply reliability index and a task completion rate; and if the preset inspection efficiency threshold value is not met, adjusting the model target parameter and performing iterative optimization until the standard is met. According to the invention, the inspection accuracy, the resource utilization efficiency and the power supply reliability guarantee capability are obviously improved.

The invention relates to the technical field of power construction monitoring. The invention provides an electric power engineering construction state real-time monitoring method, system and device and a medium, and the method comprises the steps: collecting the load state and communication delay data of each node through an edge computing node network, and generating node load state data and a communication delay distribution map; calculating a time sequence compensation parameter according to the communication delay distribution map, and generating a time sequence synchronization data stream; task scheduling is executed based on the dynamic resource pre-allocation strategy and the time sequence synchronization data flow, and an optimized resource allocation strategy is generated; and according to the optimized resource allocation strategy and the construction state monitoring data, generating a collaborative efficiency evaluation result, so as to solve the problems of resource overload, data time sequence deviation accumulation and collaborative control failure, and improve the construction efficiency and the data synchronization precision.

The invention relates to the technical field of new energy, in particular to an efficiency optimization method of a DAB converter, electronic equipment and a storage medium. The method comprises the following steps: calculating a staggered ratio coefficient and a first phase shift parameter in a heavy load mode and a first phase shift parameter in a light load mode according to an output power reference value, a battery side voltage sampling value and a bus side voltage sampling value; determining a second phase shift parameter and a switching frequency in the heavy load mode according to the staggered proportion coefficient and the first phase shift parameter in the heavy load mode, and determining a second phase shift parameter in the light load mode according to the first phase shift parameter in the light load mode; and determining a current working mode based on the staggered proportion coefficient in the heavy load mode and a preset dead zone proportion, and generating a driving signal of each power switch based on the first phase shift parameter, the second phase shift parameter and the switching frequency corresponding to the current working mode. According to the method, the overall efficiency of the DAB converter under different load conditions is improved.

The invention relates to the technical field of power distribution network communication power supply and operation and maintenance monitoring, and particularly discloses a storage battery remote discharge control system and method for distribution network communication. The method comprises the steps of generating a task configuration set and a control initial value through standardized processing by obtaining remote setting parameters and communication strategies; collecting voltage and current data, calculating a charge state, and generating a feed-forward compensation amount; selecting a control parameter based on the interval index, and carrying out duty ratio calculation and power adjustment in combination with feed-forward compensation; generating and confirming a control instruction according to the thermal state and the power deviation; executing safety judgment and event record to generate recovery guidance; and finally verifying the data and adjusting the parameter set. According to the method, accurate control and multiple protection in the discharge process of the storage battery are realized, the system reliability, the control precision and the thermal management efficiency are improved, and the fault handling and data integrity guarantee capabilities are enhanced.

The invention relates to the technical field of metallurgical furnace charge conveying and control, and discloses a top-blown furnace multi-channel supersonic jet type feeding control method and system.The method comprises the steps that flow distribution in a nozzle is achieved through a piezoelectric ceramic high-speed valve installed at a pipeline inlet, and a nozzle servo motor is controlled at the top of a spray gun to adjust the spray angle of the spray gun; the feeding speed, pressure and temperature are monitored in real time through a pressure sensor and a flow sensor arranged in an inlet area of the pipeline and an infrared thermometer mounted at the top of the furnace; the carrier gas flow, the nozzle opening degree and the spraying angle are dynamically adjusted through control of the PLC executing mechanism, and collaborative optimization of the material flow vector, the flow field in the hearth and the heat and mass transfer process is achieved. The system comprises a spray gun, a piezoelectric ceramic high-speed valve, a flow sensor, an infrared thermometer, a nozzle control servo motor, a temperature measurement control small servo motor and a control room. The comprehensive operation efficiency of energy density distribution optimization, reaction efficiency improvement and energy consumption index reduction of the molten pool reactor is finally realized.

The invention relates to the field of energy storage equipment, and discloses a mobile energy storage charging pile multi-mode cooperative operation control method and system, and the method comprises the steps: obtaining a mobile energy storage charging pile cluster to be cooperatively controlled, and extracting the historical operation data of each charging pile in the mobile energy storage charging pile cluster, calculating a charging efficiency coefficient of each charging pile in the charging pile cluster, determining a reference charging pile in the mobile energy storage charging pile cluster, and calling operation mode information of the reference charging pile; determining an existing running track of the reference charging pile, calculating an electric energy loss rate corresponding to the running track, and analyzing an output power feature corresponding to the reference charging pile; analyzing electric energy distribution imbalance characteristics of the mobile energy storage charging pile cluster; and carrying out operation optimization processing on the existing operation track to obtain an optimal operation track so as to execute charging task distribution on the reference charging pile and obtain a charging service result. According to the invention, the multi-mode cooperative operation control efficiency of the mobile energy storage charging pile can be improved.