816 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.

The invention relates to the technical field of new energy vehicle charging, and discloses a new energy vehicle charging station power supply optimization regulation and control system in a power supply peak period, and the system comprises a processor, a charging demand prediction module, a power supply load distribution module, a real-time regulation and control module, and a power supply performance monitoring module. The charging demand prediction module predicts a charging demand based on historical data and user behaviors; the power supply load distribution module distributes power supply priority and power upper limit according to the prediction result and the power grid state; the real-time regulation and control module adjusts power supply parameters according to the real-time data The power supply performance monitoring module records the regulation response time and the deviation value. In addition, the system is further provided with an energy storage coordination module, a user priority evaluation module and a power grid interaction module which are respectively used for optimizing energy storage management, evaluating user priority and coordinating power grid power supply. The system can accurately predict the charging demand, reasonably distribute power supply resources, regulate and control power supply parameters in real time, and improve the power supply efficiency and stability of the charging station.

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 a power supply circuit, a server and a time sequence control method, relates to the field of server power supply, and solves the problem that the demand of loads such as a GPU (Graphics Processing Unit) and a CPU (Central Processing Unit) on short-time peak power is increasingly increased at present. According to the power supply circuit, the long-time power supply module and the peak value compensation module are introduced to work cooperatively, the long-time power supply module provides stable energy conversion, and the long-term stable power supply requirement of a load is met; and the peak compensation module dynamically adjusts power supply according to the load demand and the working state of the long-time power supply module, provides or recovers energy, and meets the instantaneous peak power demand, thereby avoiding the defect that the peak current cannot meet the requirement or needs a large-scale redundancy and high-cost capacitor row in the traditional scheme, and improving the reliability of the system. According to the design, power supply stability can be guaranteed, system cost and size are reduced, and overall power supply efficiency and response capability are improved.

The invention discloses a gas generator and energy storage battery hybrid energy supply scheduling strategy, belongs to the technical field of storage and charging, and mainly solves the problems that in an energy supply mode of a gas generator in existing oil and gas drilling operation, the power generation efficiency of the gas generator is low, and the gas generator is prone to flameout when coping with an impact load. Measuring and acquiring data of voltage and current of oil and gas drilling operation energy consumption equipment, the starting number of gas generators and the residual electric quantity of an energy storage battery; 2, calculating the real-time total power, the power abrupt change rate and the load rate of the gas generator according to the measured data; 3, the number of gas generators needing to be started and the charging and discharging state of energy storage electricity are determined according to the calculation and analysis result; and 4, repeating the steps 1-3 until the drilling operation is finished. The scheduling strategy depends on an existing energy management system, the starting number of the gas generators and the charging and discharging states of the energy storage batteries are reasonably controlled by combining the total power fluctuation characteristics of oil and gas drilling operation, comprehensive management of hybrid energy supply of the gas generators and the energy storage batteries in the oil and gas drilling operation is achieved, the power generation efficiency of the gas generators is improved, and the energy consumption is reduced. Meanwhile, flameout of the gas generator is avoided, and operation safety is guaranteed.

The invention relates to the technical field of charging pile control, in particular to a charging pile dynamic energy-saving method based on a cooling algorithm, and the method comprises the following steps: carrying out the real-time data collection of a charging pile cooling device, and collecting the temperature and flow velocity of a cooling medium, and the temperature and voltage data of a battery in a charging state; according to the method, the energy consumption evaluation performance function is constructed based on the data, and the analysis of cooling energy consumption optimization is achieved in combination with the charging efficiency. The calculation of the gradient data provides an optimization direction in flow and temperature parameter adjustment, and the unreasonable phenomenon of cooling resource allocation is avoided. Iterative optimization of a parameter adjustment result is combined with continuous monitoring of energy consumption and equipment efficiency, and it is ensured that the cooling system can still operate in a dynamic optimization mode under complex conditions. The prediction analysis of the temperature change range in the peak period is combined with the real-time data to adjust the cooling resource allocation rule, and the adaptability of the cooling system in a complex scene is improved.

The invention discloses an intelligent wireless charging power distribution method and system, and aims to improve the efficiency and safety of simultaneous charging of multiple devices, and the system design comprises a plurality of key modules: a device detection and recognition module automatically recognizes the charging devices and collects the power demands of the charging devices; the power demand analysis module calculates the power demand of each device according to the device electric quantity and the charging mode, and the power distribution control module dynamically adjusts the power output according to the priority, the distance and other factors; the real-time monitoring and feedback module ensures the stability and safety of the charging process, and the data recording and learning optimization module optimizes the charging strategy by analyzing historical data. Through cooperative work of the modules, the system can adjust the charging power in real time, optimize the charging efficiency, improve the user experience, and ensure the safety of the charging process. The system shows good adaptability in a multi-device environment, and important reference and application prospects are provided for development of a wireless charging technology.

The invention relates to the technical field of circuit operation and maintenance, in particular to a power transmission line icing risk assessment system and method, and the system comprises a data acquisition module, a data collection module, a spectrum analysis module, a data analysis module and a risk assessment module. Wherein the data analysis module determines an icing trend of each characteristic time period according to historical icing data and determines an icing characterization tendency in combination with a real-time temperature so as to determine whether to perform icing risk assessment; the risk assessment module controls the data acquisition module to start data acquisition, determines whether a preset distribution condition is met or not according to the frequency distribution condition, and determines a risk assessment state according to a judgment result whether the preset distribution condition is met or not and the power transmission efficiency so as to determine a subsequent deicing method; according to the method, the icing risk is effectively monitored and evaluated, the corresponding deicing method is provided, safe and stable operation of the power transmission line under the icing condition is guaranteed, the stability of a power system is improved, and adverse effects caused by icing disasters are reduced.

The invention relates to a charging pile energy management method, system and device and a medium, and belongs to the technical field of charging pile energy management, and the energy management method comprises the steps: receiving a vehicle charging demand, calculating the charging urgency degree, obtaining the real-time state of a charging pile, calculating the power margin, and constructing a charging pile-vehicle adaptation matrix; and then, the system calculates a power distribution strategy and sends the strategy to the vehicle end to ensure reasonable matching of charging resources. The system calculates the safety limit value in real time and adjusts the actual distribution power to ensure the safe operation of the charging pile. And if the power of a certain charging pile is insufficient, calculating a to-be-migrated power amount and generating a load migration strategy, and adjusting the bus voltage by utilizing the energy storage equipment to carry out cross-pile power migration. After charging is started, the system monitors and executes feedback, dynamically optimizes a power distribution strategy, and identifies a low-efficiency charging pile for power compensation. The charging pile resource allocation can be optimized, the overall charging efficiency is improved, and the user experience is improved.

The invention discloses an intelligent power distribution energy-saving power supply system and method, relates to the technical field of power systems, and solves the technical problems that the user experience is poor due to the lack of consideration of the user participation degree in the prior art, and the efficiency of intelligent power distribution energy-saving power supply is low due to the fact that the electric quantity generated by renewable energy cannot meet the user demand. Obtaining predicted electricity consumption of the plurality of areas through an electric power prediction model; calculating a regional power utilization priority coefficient according to the regional data; the power station state is adjusted according to the predicted electricity consumption and the regional electricity consumption priority coefficient, the user participation degree is considered, whether the generating capacity meets the electricity consumption requirement or not is predicted, regulation and control are conducted in advance, the situation of insufficient power supply is reduced, and the user experience and the power supply efficiency are improved.

The invention relates to the technical field of energy data processing, in particular to an energy-saving and environment-friendly detection method and system for a green building. According to the change trend of all data of a corresponding dimension in a neighborhood range of data of each dimension at a target sampling moment, the abnormal degree of the data of each dimension at the target sampling moment is obtained; obtaining the connectivity between the two dimension data at the target sampling moment by combining the difference of the abnormal degree between the two dimension data and the local distribution association; further obtaining a correction score coefficient of the power efficiency data at the target sampling moment; correcting the initial score value of the corresponding electrical efficiency data to obtain a corrected score value of the electrical efficiency data at the target sampling moment; obtaining a correction score value of the power efficiency data at each sampling moment; and abnormal electric efficiency data are screened out. According to the method, the accurate score value of each electrical efficiency data is obtained, the accuracy of abnormal electrical efficiency data detection is improved, and the energy-saving and environment-friendly detection result is optimized.

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 discloses an industrial and commercial energy storage system management optimization method and system, and relates to the technical field of energy storage management, and the method comprises the steps: obtaining a charging efficient time period, a discharging efficient time period, and a charging and discharging equalization time period; performing charging efficiency analysis to obtain a charging influence interval; performing discharge efficiency analysis to obtain a discharge influence interval, a discharge minimum limit and a discharge minimum limit; obtaining a charging and discharging switching interval, and managing the energy storage system; the method is used for solving the problem that when the battery pack is applied to a working scene where the battery pack is frequently used, the charging and discharging states of the battery pack cannot be effectively monitored, so that the charging efficiency or the power supply efficiency cannot reach the standard, and power cannot be effectively supplied to a power utilization unit.

The invention relates to the technical field of power management, in particular to a UPS parallel management method, device and system and a computer storage medium. When it is detected that a power grid power source is in an abnormal state, a UPS cluster formed by connecting multiple UPSs in parallel is started so that the UPS cluster can supply power to a target object, performance parameters of each UPS in the UPS cluster and the number of the UPSs in the UPS cluster are determined, and after the target load size of the target object is predicted based on the historical load size of the target object, the power grid power source is determined to be in the abnormal state. And according to the performance parameter of each UPS and the number of the UPSs, the target load is distributed to each UPS in the UPS cluster, so that each UPS in the UPS cluster supplies power to the target object, and the power supply efficiency of the UPSs is improved.

The invention belongs to the technical field of aviation electric propulsion, and relates to a hydrogen fuel cell superconducting hybrid electric propulsion system based on hydrogen and helium heat exchange cooling, which is suitable for megawatt level branch aircrafts and comprises a liquid hydrogen storage tank, a hydrogen and helium heat exchanger, a hydrogen fuel cell, a lithium battery, an inverter, a superconducting motor, a propeller and other core components. The liquid hydrogen storage tank vaporizes liquid hydrogen through the micro-channel plate type hydrogen-helium heat exchanger and stably supplies the vaporized liquid hydrogen to the hydrogen fuel cell to generate electric energy; helium is used for a low-temperature cooling loop and cooling key assemblies such as a superconducting motor, a low-temperature inverter, a superconducting cable and a hydrogen fuel cell, and it is ensured that the key assemblies stably operate at the optimal working temperature. The hydrogen fuel cell and the lithium battery cooperatively provide electric energy for the superconducting electric propulsion system, the integrated energy management controller dynamically adjusts the output power of the fuel cell and the lithium battery by adopting a state machine strategy, and accurate monitoring and optimal distribution of working parameters of all components are achieved. The optimal heat balance and power output are ensured to be realized in different flight stages such as takeoff, cruise and landing; according to the hydrogen fuel cell hybrid electric propulsion system based on hydrogen and helium heat exchange cooling, the power generation efficiency and the operation stability of the hydrogen fuel cell are remarkably improved, the overall energy conversion efficiency is improved, and the high-power and high-efficiency power extraction requirements of megawatt aircrafts are fully met.

The invention provides a self-adaptive charging power supply control method and system, and relates to the field of power supply control, and the method comprises the steps: capturing a voltage and temperature time sequence signal of a battery in real time through a high-precision sensor, carrying out the multi-scale time sequence modeling of the dynamic characteristics of the battery through a time convolution network in combination with the charging behavior data of a user, and obtaining a multi-scale time sequence model; and extracting high-frequency nonlinear fluctuation characteristics of the battery state. Meanwhile, semantic association coding is performed on the user behavior data, and a mapping relation between the user demand and the battery health state is established. Then, a cross-modal feature interaction mechanism is introduced, dynamic coupling analysis of the battery state and the user requirement is achieved, finally, a charging voltage regulation and control instruction which is optimally matched with the current battery state and meets the user scene requirement is generated through a decoder, charging parameters are dynamically adjusted, and collaborative optimization of the charging efficiency, the battery life and the personalized scene is achieved.

The invention relates to the technical field of new energy station monitoring, in particular to a new energy station monitoring system and method based on an intelligent sensor, and the system comprises an intelligent model unit which builds a multi-factor model and predicts the power generation efficiency; the continuous optimization unit is used for predicting burst data according to the power generation efficiency; when the system is used, the system adapts to seasonal changes and sudden weather conditions, the operation efficiency of the new energy station is improved, energy management can be optimized, the sustainability and economical efficiency of the system are ensured, the new energy station can operate in an efficient and stable environment by continuously optimizing the operation of the units, and the new energy station is suitable for popularization and application. The power generation efficiency of the whole new energy station is further improved, the operation and maintenance cost is further reduced, the power generation efficiency and equipment state data are monitored in real time, whether equipment needs to be maintained or adjusted or not is judged, manual intervention is reduced, the intelligent degree of the system is improved, it is ensured that the power generation efficiency is always kept in the optimal state, and resource utilization is maximized.

The utility model discloses a switching power supply circuit, which relates to the technical field of switching power supply protection and comprises a power supply module used for supplying power; the switching power supply module is used for isolation voltage transformation regulation, multi-path rectification filtering, voltage stabilization regulation and current detection; the over-temperature detection module is used for over-temperature detection; the output module is used for receiving electric energy and detecting voltage; the driving control module is used for outputting a first pulse signal; the level detection module is used for detecting the level state of the first pulse signal; the switching control module is used for controlling the switch switching module to perform path switching when the temperature is over-high and the first pulse signal is in a low-level state; the switch switching module is used for transmitting the first pulse signal to the standby switch module and the switch power supply module; and the standby switch module is used for controlling the work of the switch power supply module. The switching power supply circuit can reduce the temperature of a power device in the switching power supply module, avoids a voltage reduction phenomenon caused by switching, and ensures power supply safety and power supply efficiency.

The present invention discloses a micro jet cooling plate with a porous heat transfer surface, wherein a porous super hydrophilic surface structure composed of a plurality of evenly distributed small holes is centrally arranged on a rectangular working surface of the micro jet cooling plate, two cooling liquid outlet channels are arranged in parallel at two opposite sides of the working surface, and cooling liquid collecting channels with two ends connected to the cooling liquid outlet channels are arranged in parallel at the other two opposite sides of the working surface, and a plurality of micro channels are evenly connected between the porous super hydrophilic surface structure and the cooling liquid outlet channels and the cooling liquid collecting channels. The present invention also discloses a method for manufacturing a micro jet cooling plate with a porous heat transfer surface. The present invention can reduce the thermal resistance of the channel surface, increase the phase change heat transfer efficiency, and can effectively solve the problems of excessively high local temperature and uneven distribution of concentrated photovoltaic cells, thereby improving the power generation efficiency of the cells.

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 voltage balancing device of a 10KV three-element combined mutual inductor and a using method of the voltage balancing device, and relates to the technical field of mutual inductors. The voltage balancing device of the 10KV three-element combined mutual inductor comprises a first mutual inductor shell, the voltage balancing device comprises a second mutual inductor shell, a voltage mutual inductor is installed in the first mutual inductor shell, and a current mutual inductor is installed in the second mutual inductor shell. The front end of the first mutual inductor shell is fixedly connected with a mutual inductor junction box, a voltage stabilizer is installed outside the first mutual inductor shell, and by means of Y-shaped connection of a secondary winding of the voltage mutual inductor and use of a circuit breaker and the voltage stabilizer, voltage balance of the voltage mutual inductor is facilitated; the Y-shaped connection can guarantee three-phase balance while providing a stable power supply, has an effect of absorbing harmonic waves, improves the power supply efficiency, avoids equipment damage caused by overload, and guarantees good operation of low-voltage power grid protection.

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 intelligent power supply, and particularly discloses an intelligent power supply circuit system and method. And a data processing technology based on deep learning is introduced to carry out semantic representation and fine-grained cross-modal fusion on the power supply voltage and the load state information of each load, so that fine-grained association understanding between the power supply voltage and the load state is realized, and a suitable voltage conversion mode is intelligently recommended on the basis of the fine-grained association understanding. Through the mode, the power supply voltage can be dynamically adjusted to meet specific requirements of different loads, so that the power supply efficiency of the power supply circuit and the cruising ability of the intelligent terminal are further 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 provides a wind power high-voltage direct-current power transmission system, and belongs to the technical field of power transmission. The system comprises an intelligent wind driven generator, a modular converter station, an intelligent temperature monitoring direct current transmission line, a power grid friendly intelligent inverter station, and an intelligent regulation and control system integrating real-time data analysis, dynamic control and fault self-diagnosis. Through a maximum power point tracking algorithm and a self-adaptive control strategy, the system optimizes the wind energy conversion efficiency. The intelligent regulation and control system predicts wind power output by using a deep learning model and a random forest algorithm, dynamically adjusts voltage and current, and quickly responds to power grid demand changes. In addition, the system can quickly position and isolate faults, start a standby path and ensure continuous power supply. By adopting the wind power high-voltage direct-current power transmission system, the intelligent level of wind power high-voltage direct-current power transmission is improved, and the power transmission efficiency and the system stability are enhanced.

The invention discloses a DC charging pile charging control system and control method, and the system comprises a charging control module which receives charging demand data and charging electric energy data, and generates a charging control signal based on a preset electric energy control function; the charging monitoring module collects charging electric energy data of the first electric energy processing module and the second electric energy processing module; the electric energy adjusting module is used for controlling and adjusting the electric energy transmitted by the first electric energy processing module and the second electric energy processing module; the first electric energy processing module is used for converting electric energy input by the input power supply into stable direct-current electric energy; the second electric energy processing module optimizes the stable direct-current electric energy and then transmits the stable direct-current electric energy to the charging pile; and the electric energy isolation module isolates the electric connection between the charging main loop and the charging secondary loop. The control signal is generated according to the actual working state of the charging pile, the system is controlled and adjusted based on the control signal, the electric energy utilization rate of the charging pile is effectively improved, the electric energy loss is reduced, and the charging efficiency is optimized.

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.