450 results about "Electrical efficiency" patented technology

The invention discloses a charging chip real-time power scheduling control method, and relates to the technical field of new energy automobile charging pile power scheduling, and the method comprises the following steps: S1, obtaining the operation parameters of charging equipment in real time, including the voltage fluctuation value of an input power grid, the output current of a charging interface, and the temperature of a charging chip; according to the method, the power grid voltage fluctuation, battery SOC / temperature and chip working condition multi-source data are collected in real time, a multi-target optimization model of dynamic weight distribution is combined, the service life loss of the battery is minimized, the charging efficiency and the power grid load are balanced at the same time, the user charging mode and the battery state difference are taken into consideration by adopting a priority scheduling strategy, and the charging efficiency is improved. Millisecond-level power fine control is achieved through cooperative adjustment of the PWM duty ratio and the switching frequency, personalized charging requirements are met, the overall energy efficiency is improved, a dual safety defense line is constructed through a graded load reduction protection mechanism and a fuzzy control algorithm, and a power distribution scheme is intelligently reconstructed when a power grid is abnormal or a battery is overheated.

A charging method based on intelligent dynamic power allocation. The method comprises: acquiring the current SOC, a real-time power demand, a rated power and infrared position detection information of an electric vehicle; on the basis of the current SOC, the real-time power demand, the rated power and the infrared position detection information of the electric vehicle, and in combination with a dynamic average power allocation strategy, a user first-come-first-served allocation strategy, a reverse SOC threshold value incentive strategy and an overall-power utilization maximization strategy, performing power allocation and generating a corresponding control instruction; and controlling the output of a charger topology switch on the basis of the control instruction. Further disclosed is a multi-gun charger apparatus using the charging method. The charging method includes a moderate power allocation strategy and takes into account the demands of both a charger control system and users, and can effectively improve the overall charging efficiency, reduce the charging time, and improve the utilization rate of charging piles.

The invention discloses an intelligent silicon controlled rectifier voltage conversion circuit, which relates to the technical field of voltage conversion, and comprises a photovoltaic module, a micro-control module, a power regulation module, a first voltage threshold, a second voltage threshold, a second voltage threshold, a third voltage threshold, a fourth voltage threshold, a fifth voltage threshold and a sixth voltage threshold, when the converted electric energy is larger than a first voltage threshold value, the access control module transmits the electric energy output by power regulation, superposes the electric energy output by double-path electric energy coupling and stores the superposed electric energy by the energy storage module, and when the converted electric energy is smaller than the first voltage threshold value and larger than a second voltage threshold value, the access control module outputs the superposed electric energy. And when the voltage is smaller than a second voltage threshold value, electric energy coupling is stopped, the power regulation module is controlled to carry out power regulation on the electric energy released by the energy storage module, and power is supplied to the output module. According to the intelligent silicon controlled voltage conversion circuit, the utilization rate of photovoltaic electric energy can be improved, and the voltage gain and the power supply efficiency are improved.

The invention relates to the technical field of unmanned vehicle management, in particular to an unmanned vehicle intelligent monitoring management system, which accurately detects electronic activities in a battery pack through a quantum tunneling effect electric quantity sensor, generates quantum signals, obtains multi-dimensional electric quantity data through processing, and provides a basis for energy management. Tensor analysis and a convolutional neural network are used to carry out deep mining on the multi-dimensional signal data, an energy flow state is monitored in real time, and an abnormal energy flow mode is identified; in combination with an energy flow analysis result, a charging scheduling scheme is generated and optimized by using chaotic mapping and a multi-objective optimization algorithm, and the charging efficiency, the vehicle waiting time and the power grid load are balanced; a charging adaptation model based on a biological neural network is constructed, intelligent charging adaptation decision making and charging equipment operation control are realized through reinforcement learning algorithm training, and the charging flexibility and efficiency are improved.

The invention provides a battery charging rate determination method and device, electronic equipment and a storage medium. The method comprises the following steps: obtaining a self-discharge current of a battery in each cycle charging process; the self-discharging current is the self-discharging current collected in the constant-voltage charging process when the battery is charged at a first charging rate in each circulating charging process until the electric quantity parameter of the battery reaches a preset electric quantity parameter and the battery is continuously charged in a constant-voltage charging mode; the values of the first charging multiplying power of the battery are different in different cyclic charging processes; and determining the corresponding maximum charging rate of the battery under the preset electric quantity parameter based on the self-discharging current. According to the embodiment of the invention, the maximum charging rate of the battery is determined based on the self-discharging current, and the battery is guided to be charged through the maximum charging rate, so that metal deposition in the battery can be reduced, and the risk of side reaction can be reduced while the charging efficiency of the battery is improved.

The invention discloses a real-time monitoring and accurate fault positioning system for an intelligent power transmission line, and belongs to the technical field of line monitoring, and the system comprises a deployment module which is used for installing an intelligent monitoring terminal according to the trend of the power transmission line; the intelligent monitoring terminal obtains various parameter information of the power transmission line; the integrated processing end is used for carrying out standardization processing on the received parameter information to obtain standard data parameters; the monitoring analysis end is used for analyzing the standard data parameters and judging whether the power transmission line has a fault or not; and the response module responds to the fault position when the power transmission line has the fault. According to the method, comprehensive analysis is performed according to the accumulation condition of the fault coefficients, the change trend of the fault coefficients and the fluctuation condition of the fault coefficients in combination with environmental factors, and potential fault risks of the power transmission line are pre-judged in advance, so that early warning processing is performed in time, subsequent faults are reduced or avoided, and the power transmission efficiency is ensured.

The invention discloses a spacing-adjustable magnetic steel wire electricity-taking clamp, and aims to solve the problems of poor stability, difficult installation of an electricity-taking clamp and poor adaptability in the adsorption electricity-taking process of an existing magnetic steel wire. The electricity taking clamp comprises a clamping assembly, an adjusting assembly, a fixing assembly and a plurality of magnetic steel wires, the clamping assembly is connected with the adjusting assembly, and the fixing assembly is connected with the clamping assembly; the adjusting assembly is used for adjusting the clamping width of the clamping assembly, the clamping assembly abuts against the circuit breaker, the fixing assembly is matched with the clamping assembly to fix the multiple magnetic steel wires, and the multiple magnetic steel wires are electrically connected with the circuit breaker. The electricity taking clamp can be adapted to circuit breakers with different widths, so that the universality of the electricity taking clamp is improved, and the cost is reduced; the adaptation process during power taking of the circuit breaker is saved, the power taking operation time is shortened, and the power taking efficiency is improved. The matching efficiency of the magnetic steel wire and the screw hole of the circuit breaker is improved, the wiring operation is simplified, the clamping assembly abuts against the circuit breaker, the stability of the power taking clamp after installation is ensured, and continuous power supply is guaranteed.

The invention discloses a mobile power supply with an intelligent electric energy management function, and relates to the technical field of mobile power supplies, and the mobile power supply comprises a photovoltaic detection control module which is used for photovoltaic conversion, voltage sampling and voltage comparison; the energy storage and discharge module is used for storing energy and discharging; the intelligent control module is used for signal receiving and module control; the coupling boosting module is used for power regulation, coupling regulation, rectification filtering and output voltage superposition work; the output control module is used for carrying out coupling adjustment and rectification filtering processing; the first output module is used for receiving the electric energy output by the output control module; and the second output module and the third output module are used for receiving the electric energy output by the coupling boosting module. The mobile power supply with the intelligent electric energy management function can provide multi-path power supply, the step-up ratio, the voltage gain and the power supply efficiency are improved, when only the first output module supplies power, power can be supplied to the energy storage discharging module through the coupling step-up module, and the utilization rate of electric energy is improved.

The invention relates to the technical field of industrial robot fault diagnosis, and discloses a fault early warning and remote diagnosis method for an industrial robot electrical control system, and the method comprises the steps: obtaining a mechanical load parameter through a potential load model, an inertia load model and a basic dynamics model, obtaining an electrical state parameter through an electrical efficiency model, and carrying out the fault early warning and remote diagnosis. A correction factor is generated through a correction model in combination with the environment temperature, a dynamic current threshold value is calculated through a threshold value model based on the correction factor and a basic current threshold value, and finally health scores and fault early warning information are output through a diagnosis model in combination with the vibration acceleration and servo ring following errors. According to the method, mechanical, electrical and environmental multi-source parameters are fused, dynamic threshold adjustment and multi-dimensional health assessment are realized, normal working conditions and abnormal states are effectively distinguished, the fault early warning accuracy is remarkably improved, the false alarm rate is reduced, and a reliable remote diagnosis scheme is provided for the industrial robot.

The invention relates to the technical field of electronics, and discloses a power supply method, a readable storage medium, a chip and electronic equipment. The electronic equipment can store the corresponding relation between the voltage parameters of the power supply modules and the phase cutting current thresholds corresponding to different power supply groups. In the operation process of the electronic equipment, the current voltage parameter of the power supply module can be obtained, and the phase cutting current threshold value matched with the current voltage parameter is determined based on the corresponding relation. And then, the electronic equipment can supply power to the load through the power supply group which corresponds to the current output current and has the highest power supply efficiency according to the relationship between the current output current of the display screen power supply module and each determined phase cutting current threshold value. Therefore, since the phase cutting current threshold is matched with the current input voltage and the current output voltage of the power supply module, the power supply module can work under the condition of a power supply phase number with relatively high efficiency, so that the power supply efficiency of the power supply module for the load is improved, and the power consumption of the electronic equipment is reduced.

The invention relates to the technical field of UPS intelligent diagnosis, in particular to a UPS self-diagnosis system based on artificial intelligence, which is characterized in that a storage battery assembly can be charged through a rectifier to store electric energy, and a monitoring module monitors the output voltage condition of the storage battery assembly and the temperature and humidity change condition of a storage battery pack area; historical data monitored by a monitor are stored through an AI analysis module, influence periods are divided and operation conditions are monitored through a control module based on power supply influence tendency characterization values corresponding to different battery management influence periods, and power supply output characterization parameters are determined to predict whether the power supply effect of a storage battery pack meets a preset standard or not. Whether the electric energy compensation device is started or not is determined, the influence of temperature and humidity resistance differences of all single batteries of the storage battery pack on the power supply efficiency in the operation process of the UPS self-diagnosis system is considered, the electric energy compensation device is adaptively involved, and then the power supply efficiency and the battery stability of the UPS self-diagnosis system are guaranteed.

The invention relates to the technical field of integrated circuit power supply, in particular to a modular multi-stage distributed power supply architecture and method for a whole wafer computing system, the architecture comprises a computing wafer, a power supply module, a bearing substrate and an integrated heat dissipation system, the computing wafer is integrated with various computing units with different voltage requirements, and the power supply module is connected with the integrated heat dissipation system. The power supply module is integrated with the computing wafer through a high-density interconnection interface, a multi-stage power supply topology is adopted in the power supply module, the power supply module comprises a first-stage central power management unit, a second-stage distributed voltage regulation unit array, a high-density embedded capacitor array and a global multi-domain power management integrated circuit, and the bearing substrate is used for bearing related parts. The integrated heat dissipation system carries out differential heat dissipation according to different heat dissipation densities. According to the invention, global optimization of power supply efficiency, precision and thermal management can be realized, and the complex power supply problem of the whole wafer system can be effectively solved.

The invention relates to the technical field of power system optimization, and discloses a charging load estimation and charging mode optimization method based on an electric vehicle. According to the method, a source load storage-medium voltage distribution network collaborative planning framework is initialized, and charging station geographical distribution and user charging behavior modes are integrated; collecting charging load sequence data in real time, and judging a charging load control state through a volatility analysis algorithm; when the charging load control is in an unstable state, synchronously analyzing voltage fluctuation characteristics and charging power change characteristics of the power distribution network, and generating a charging efficiency evaluation value; dividing the charging effect into three levels of high efficiency, conventional and low efficiency based on the evaluation value; for a conventional grade charging effect, a time sequence decomposition technology is adopted to extract a load trend component, and an overall load stability index is calculated; and fusing the charging efficiency evaluation value and the overall load stability index, and outputting a charging power adjustment instruction. The method effectively improves the operation stability and the charging efficiency of the power distribution network.

The invention discloses a charging method, device, power cabinet and system, and the charging method comprises the steps: determining resource borrowing information according to a multi-gun charging request sent by a target vehicle; according to the broadcast information and the resource borrowing information of each slave power cabinet, a target power cabinet is selected from the multiple slave power cabinets, the slave power cabinets are power cabinets except a main power cabinet in the charging system, and the main power cabinet is a power cabinet which receives a multi-gun charging request in the system; and the resource borrowing request is sent to the target power cabinet, and the target power cabinet responds to the resource borrowing request and charges the target vehicle according to a response result. Through the mode, the flexibility and the resource utilization rate of the charging system can be improved while the high-power networking requirement can be met, the complexity and the configuration cost of the system are effectively reduced, the power scheduling problem in the charging process is simplified, the expansibility and the maintenance convenience of the system are enhanced, and the practicability is high. Therefore, the overall charging efficiency and the service quality are improved.

The invention relates to the field of wireless charging, and discloses a portable wireless charging electronic system and method, and the method comprises the steps: obtaining the electric quantity of a battery and the inclination or movement state data of equipment through an input system of the wireless charging equipment, and carrying out the analysis through combining with an electromagnetic field intensity algorithm, and constructing a battery charging environment data set of the equipment; performing dynamic feature extraction on the battery charging environment data set, and constructing an equipment charging state model based on a real-time electromagnetic field simulation algorithm; whether the charging process is stable or not is judged based on the charging efficiency change condition, if yes, the periodic change result of the charging efficiency is recorded, dynamic adjustment is conducted in combination with equipment position information, and the electromagnetic field coupling effect is optimized; according to the adjusted electromagnetic field coupling effect, applying a multi-dimensional real-time feedback algorithm to carry out environmental adaptability correction on the charging efficiency; and on the basis of the optimized charging strategy, the charging process is monitored in real time in combination with an equipment state detection system. The method has the advantage of improving the charging efficiency.

The invention discloses a power grid intelligent power flow control method based on an improved cuckoo search algorithm. The method comprises the following steps: firstly, constructing a mathematical model of an AC-DC hybrid system, analyzing the characteristics and interaction of each device in the system, and determining a composite function taking the minimization of power generation cost, active loss and generator voltage deviation as targets according to an operation target; and then, decomposing the complex objective function into a plurality of sub-problems through hierarchical processing, and realizing respective solving. In hierarchical calculation, an improved cuckoo algorithm is adopted for optimization in a solution space, and an optimal power flow distribution and control strategy is obtained. And finally, intelligent layered power flow control of the alternating-current and direct-current hybrid system is realized according to an optimization result. According to the invention, the system response speed and the regulation efficiency are obviously improved, and the effect in the aspect of optimized operation is outstanding; compared with the traditional Cuckoo search CS algorithm and NSGA algorithm, the cost consumption is respectively saved by 2.21% and 4.49%; the experimental model is low in weekly average cost and high in power transmission efficiency, the power transmission efficiency is effectively improved, and the loss cost is reduced.

The invention discloses a wind power variable pitch intelligent control method, and belongs to the field of wind power generation control. Aiming at the problems of wind speed abrupt change response lag, poor blade aging adaptation and low load control precision of existing variable pitch control, the method comprises the following steps: firstly, collecting real-time wind speed, blade strain, wind wheel rotating speed and blade historical data; predicting a short-term wind speed by using an improved ARIMA model, calculating a blade aging degree in combination with strain data, and determining a correction coefficient; then taking the predicted wind speed, the real-time strain and the correction coefficient as input, constructing a multi-target control model, and solving an optimal pitch angle through a particle swarm optimization algorithm; and finally, performing adjustment and performing real-time feedback and correction to form closed-loop control. The method can improve the variable pitch response speed, is adaptive to the full life cycle of the blade, balances the power generation efficiency and the unit safety, and is suitable for a multi-power-level wind turbine unit.

The application discloses a kind of kiln flue gas waste heat grading circulation power generation method and system, adopt multi-stage purification and temperature utilization combination, first, kiln flue gas is carried out component analysis and desulfurization purification treatment, establish layered purification chain and identify acid dew point area, form safe purification flue gas area by material adaptability evaluation and corrosion control measure;Then, temperature gradient analysis and temperature field reconstruction are carried out to purified flue gas, establish heat grade distribution mechanism and form cascade thermal energy flow, realize the complementary use of different temperature section heat source;Further, build the cascade power generation system of water vapor main cycle and organic working medium auxiliary cycle, integrate magnetic suspension bearing technology to improve auxiliary cycle power generation efficiency;Through heat matching degree monitoring and mismatch detection, establish heat balance parameter and optimize circulation network;Finally, build energy transfer matrix, through generator coupling analysis and speed coordination control, form distributed power generation configuration and complete stable electric energy output, realize the efficient use of waste heat.

The invention provides an end-cloud collaborative equipment energy-carbon efficiency real-time prediction method and system, and relates to the technical field of energy-carbon efficiency prediction.The method comprises the steps that an equipment end side collects current data, vibration data and temperature data of equipment in real time, and electrical energy efficiency characteristic parameters, mechanical energy efficiency characteristic parameters and thermodynamic energy efficiency characteristic parameters are extracted; the equipment end side calculates a cross-domain coupling coefficient, an efficiency health index and a characteristic parameter fluctuation rate, generates an energy efficiency diagnosis report and uploads the energy efficiency diagnosis report to the cloud platform; the cloud platform dynamically dispatches the basic prediction model and outputs an equipment power utilization efficiency prediction value; the cloud platform performs energy efficiency attenuation correction on the equipment power utilization efficiency predicted value to obtain a corrected equipment power utilization efficiency predicted value; and the cloud platform outputs an energy-carbon efficiency prediction value of the equipment through carbon energy efficiency conversion calculation based on the real-time carbon emission factor of the power grid and the corrected power utilization efficiency prediction value of the equipment. The technical problems that in the prior art, energy-carbon efficiency prediction is insufficient in accuracy and poor in real-time performance, and energy-carbon cooperative management and control are not considered are solved.

The invention discloses a topology state monitoring-based high-voltage distribution network self-healing model construction method and system, equipment and a medium. The method comprises the steps of obtaining main network topology structure data, equipment operation state data and typical wiring mode data; based on topological structure data and typical wiring mode data, a main network self-healing model including bus self-healing, buscouple self-healing and total station self-healing types is constructed by adopting a graph theory adjacency matrix, and the charging and discharging states of the model are periodically polled and judged according to equipment operation state data. And the linkage analysis of the topology power-off state and the bus voltage abnormity is fused before and after the self-healing process is started, and the self-healing action logic is locked through multiple conditions, so that the problem that the traditional technology is lack of standardized modeling, dynamic state evaluation and linkage analysis is solved, the strategy reusability and the fault power recovery efficiency are improved, the misoperation risk is reduced, and the reliability of the system is improved. And the safety and reliability of the operation of the main network are ensured.

The invention provides a charging pile power adaptive regulation and control method and device, and relates to the technical field of power adaptive regulation and control. The method comprises the following steps: firstly, setting regulation and control points according to a preset time interval, collecting a station total incoming line available power upper limit, total active power and charging state data of each charging pile, and calculating a demand priority score of each charging pile based on a current battery charge state and a historical power distribution condition; generating a plurality of candidate strategies according to positive and negative total power margin, and respectively implementing differential power increase and decrease for high and low demand priority piles; according to the charging rate curve, simulating the total charging completion time of all the charging piles under each strategy, selecting the strategy with the shortest total time as a comprehensive optimal strategy, and determining the target distribution power of the next regulation and control point of each pile; and finally, smoothly issuing a power instruction to a power control unit of each pile through slope rate limitation. On the premise of guaranteeing the safety of the power grid, the overall charging efficiency and the user satisfaction degree of the station can be remarkably improved.

The invention relates to the technical field of wind power generation control, in particular to a variable pitch control method and system for a wind generating set, and the method comprises the steps: firstly obtaining a real-time operation data set which comprises a set state data unit and an environment parameter data unit and is provided with a timestamp mark, and carrying out the feature fusion processing of the real-time operation data set; a combined feature set reflecting the incidence relation between the blade stress state and the wind regime change is obtained, then a pre-trained pitch angle prediction model is called to predict the pitch angle adjustment amount of the combined feature set, and target pitch angle control parameters meeting the power generation efficiency and structural load balance are determined according to the prediction result; and finally, generating a variable pitch execution instruction containing timestamp alignment based on the target pitch angle control parameter, and sending the variable pitch execution instruction to a variable pitch control system, so that the pitch angle adjustment amount can be accurately predicted, the balance between the power generation efficiency and the structural load is realized, and the operation performance and reliability of the wind generating set are improved.

The invention discloses a power supply quality analysis method and system for a power distribution area, and relates to the field of power systems, and the method comprises the steps: carrying out the preprocessing of a power load collected in real time and external data, and building a dynamic load prediction model to obtain a load change prediction result; calculating an unbalance degree by combining three-phase current and voltage data, identifying a three-phase unbalance risk, and adjusting a correction result of load distribution by using an online correction algorithm; performing multi-scale analysis on the voltage data, and identifying an abnormal fluctuation event; and combining the results to carry out power supply quality comprehensive evaluation and formulating an optimization strategy. According to the method, data missing and abnormity can be processed, and the data credibility is improved; load change is accurately predicted, and power supply efficiency is improved; three-phase imbalance and voltage abnormal fluctuation are identified in time, and equipment loss and fault risk are reduced; loads are dynamically adjusted, and stable power supply is guaranteed; a strategy is made through multi-index evaluation, and continuous improvement and optimization of power supply quality are promoted.

The application discloses a generator lithium battery cooperative control method and system, and belongs to the technical field of electric control of hybrid electric vehicles. The method collects lithium battery current, SOC state and temperature data in real time, establishes a dynamic Imax threshold after standardization processing, constructs a multi-physical field coupling model, accurately calculates the high-power duration of the generator and outputs optimal intermittent control parameters, realizes intelligent cutting and recovery of the charging loop through MOSFET switches, collects operation data to feedback and optimize model parameters, and forms a closed-loop learning system. The application solves the technical problems of response lag and split electric heat management of the traditional method, realizes double-target optimization of the extension of the service life of the generator and the improvement of the charging efficiency of the lithium battery, reduces the daily average high-load time of the generator, and improves the cycle life of the lithium battery.

The invention discloses a multi-energy complementary distributed comprehensive energy system and a method thereof, and relates to the technical field of energy management. Comprising a renewable energy power generation module, a fossil energy power generation module, an energy storage module, an energy conversion module, a user terminal and an intelligent control center. The renewable energy power generation module comprises a solar cell panel array and a wind generating set, and the renewable energy power generation module is intelligently regulated and controlled through the energy prediction and intelligent matching control system in combination with big data analysis and a machine learning algorithm. Through cooperation with an electric energy collection unit, a power distribution unit and an intelligent protection unit of the hybrid energy coupling module, maximum utilization of renewable energy is realized, overall power generation efficiency and energy utilization efficiency are improved, stability and reliability of the system are enhanced, diversified energy requirements of users are met, and meanwhile, the system has fault diagnosis and early warning functions. Safe and stable operation of the system is guaranteed.

Embodiments of the present application provide a power supply device for a server. The device comprises a power supply source and an energy storage device. The power supply source is configured with a power supply port; the energy storage device is configured with a charging port and a discharging port; the power supply port is connected to the charging port; the power supply port is further configured to be connected to an electric energy input port of a server motherboard to which power is to be supplied; and the discharging port is configured to be connected to parts to which power is to be supplied, said parts being deployed on the server motherboard. The power supply source is configured to supply power to said parts by means of the electric energy input port and to charge the energy storage device. The energy storage device is configured to, when a target part in a target operation state exists in said parts, continuously supply power to the target part on the basis of an electricity supply deficit of the target part in the target operation state. The present application solves the problem in the related art of low power supply efficiency for parts, in a server, to which power is to be supplied, thereby achieving the effect of improving the power supply efficiency for said parts in the server.

The invention provides a glitch power consumption optimization system and method based on logic efficacy, and relates to the technical field of electrical digital data processing.The glitch power consumption optimization system based on the logic efficacy comprises a path efficacy calculation module used for determining the path logic efficacy, the path branch efficacy and the path electrical efficacy of each path, determining the path efficacy of each path; the burr source identification module is used for determining an actual delay difference value between the paths converged to the same path convergence point, and judging the path convergence point as a burr source when the actual delay difference value meets a preset burr source judgment condition; and the burr optimization module is used for generating burr optimization suggestions of the burr source. According to the scheme, potential glitch risks of different circuit topological structures can be rapidly evaluated without depending on a series of processes such as integration, physical implementation, parasitic parameter extraction, post-simulation and glitch power consumption evaluation, traditional experience-driven optimization is converted into data-driven scientific optimization, and the glitch power consumption optimization effect is improved.

The embodiment of the invention provides a PLC (Programmable Logic Controller)-based high-power wind turbine generator control method and a PLC-based high-power wind turbine generator control system, which are used for carrying out short-time prediction on future wind speed on the basis of a time sequence model and generating a feed-forward compensation pitch angle in combination with system delay so as to actively cope with upcoming wind speed disturbance, so that the reactive defects of traditional control are fundamentally overcome. According to the prospective control mode, the response speed and the control precision of the variable pitch system can be remarkably improved, the power and rotating speed overshoot caused by the large inertia characteristic is effectively restrained, the output power is smooth, and therefore the overall operation life of a unit is prolonged, and the power generation efficiency and the power grid friendliness are improved.

The invention relates to the technical field of wind power generation, and provides a wind turbine generator aerodynamic performance real-time optimization method and device, a medium and equipment, and the method comprises the steps: collecting the sensing data of a target wind turbine generator group based on a sensor preset in the target wind turbine generator group; taking the maximum total power generation efficiency of the target wind turbine generator group and the minimum sum of the accumulated damage degrees of all the target wind turbine generators as optimization objectives to construct a dual-objective fitness function; solving the optimal pitch angle and yaw angle instruction set of the unit group based on the dual-target fitness function, the environmental data, the operating parameters of each target wind turbine generator and a preset genetic algorithm; and the optimal pitch angle and yaw angle instruction corresponding to each target wind turbine generator is issued to a terminal layer of the corresponding target wind turbine generator to be executed, so that the cooperative action of each target wind turbine generator in the target wind turbine generator group is realized. The overall power generation efficiency of the wind turbine generator group can be effectively improved, meanwhile, the operation damage degree of the wind turbine generators is reduced, and the service life of the wind turbine generators is prolonged.

The invention relates to the technical field of emergency power supply management, in particular to an emergency security vehicle power supply management method and system, and the method comprises the steps: collecting tail gas flow velocity, temperature and gas component data through an annular sensor array, generating a heat flux density space map, and outputting a heat attenuation early warning map through a neural network prediction model; a micro resistance compensation unit is started in a grading mode according to a heat energy gap value, circuit topology is dynamically adjusted based on a heat flow density map, output voltage is stabilized through a two-channel feedback mechanism, and the system comprises a thermal field monitoring unit, a dynamic compensation unit and an intelligent voltage stabilization unit which achieve thermal field data collection, grading heat energy compensation and voltage stabilization control respectively. According to the scheme, the problems of low heat energy utilization efficiency and insufficient power supply stability in the prior art are solved, through thermal field dynamic analysis, intelligent compensation and self-adaptive voltage stabilization, the thermoelectric power generation efficiency is improved, and reliable power supply of emergency equipment is guaranteed.