21results about How to "Optimize power distribution" patented technology

The invention discloses an energy storage energy management system for improving a demand protection algorithm, and the system comprises a data collection module which is used for obtaining energy storage system load data, distributed energy operation data, and energy storage system operation data; the correlation feature analysis module is used for acquiring a correlation feature set between the load and the energy supply; the control strategy generation module is used for adjusting a charging and discharging threshold value and formulating a charging and discharging control strategy; the control strategy execution module is used for formulating a charging and discharging control strategy and adjusting the working mode of the energy storage converter; the cooperative execution module is used for dynamically optimizing a power distribution strategy by dispatching distributed energy and power grid cooperative work; and the dynamic power adjustment strategy adjustment module is used for adjusting the charging and discharging protection threshold value and the power adjustment strategy through a feedback mechanism. Through an intelligent control and scheduling mechanism, the charging and discharging efficiency of the energy storage system is improved, the stability and flexibility of the power grid are enhanced, and effective guarantee is provided for safe operation of the power grid.

The invention discloses a dynamic power control method and system for an electric vehicle charging pile, and relates to the technical field of dynamic power control of charging piles, and the method comprises the steps: carrying out the primary regulation and control and secondary regulation and control of the charging pile; obtaining a plurality of groups of different regulation and control time scale arrays; a plurality of different regulation and control time scale arrays are applied to primary regulation and control and secondary regulation and control correspondingly, and vibration evaluation data and multi-pile energy distribution uniformity data of parameter changes during primary regulation and control and secondary regulation and control are obtained; a regulation and control time scale evaluation model is constructed based on SVR; constructing a time scale-power regulation and control effect three-dimensional change curve, and performing curve analysis to obtain an improved regulation and control time scale array which is applied to charging pile power control; the problems that the system response is delayed and load fluctuation or other dynamic changes are difficult to quickly adapt due to the fact that the time scale difference of the two is not fully considered are solved.

The invention belongs to the technical field of power generation, and discloses a power generation gas turbine grid-connected power allocation technology and device which comprises a power detection module, a data processing module and a power regulation and control module. And the output power of the gas turbine is detected in real time through the power detection module, so that the real-time performance of power allocation is ensured. The power detection has the advantages of single current detection, simplicity, linearity and high efficiency. And accuracy: through the data processing module and a preset algorithm, a power regulation and control instruction can be accurately calculated, and accurate allocation of the grid-connected power of the gas turbine is realized. The power allocation effect is that any proportion can be adopted for adjustment, and the power error is reduced; and stability: the output power of the gas turbine is regulated and controlled through the power regulation and control module, so that the stability of the power grid can be effectively improved. According to the power allocation effect, the problem that power oscillates between the two gas turbines does not occur.

The invention relates to the technical field of scheduling of energy systems, in particular to a multi-time-scale scheduling method for a port multi-region integrated energy system, and the method comprises the steps: collecting operation data of energy equipment, carrying out the fusion processing, and generating source load prediction data; and constructing a multi-time-scale scheduling model including day-ahead scheduling, intra-day scheduling and real-time scheduling based on the prediction data. A long-term operation plan is made through day-ahead scheduling to optimize the system operation cost; in-day scheduling, energy equipment operation parameters are adjusted based on a short-time-interval rolling optimization strategy, and prediction errors are corrected; real-time scheduling is combined with a flexible direct current device and an energy storage unit to dynamically optimize power distribution, and supply and demand balance of an energy system is maintained. Through multi-time-scale cooperative regulation and control, the operation cost is reduced, the new energy utilization efficiency and the system economy are improved, and the method is suitable for port integrated energy system scheduling optimization in a complex load environment.

The utility model relates to vehicle energy recovery device technical field especially discloses a hybrid device with power recovery function, including engine, the drive shaft that coordinates with engine and the electric power generation all -in -one that is connected with drive shaft, electric power generation all -in -one is connected with electric energy storage module, still include worm and worm mechanism, shunt hybrid mechanism and transmission mechanism, transmission mechanism linkage shunt hybrid mechanism and worm and worm mechanism parallel operation hybrid mechanism and electric power generation all -in -one, the input of worm and worm mechanism is connected with the output of engine, shunt hybrid mechanism has two shunt input ends that are connected with worm and worm mechanism and electric power generation all -in -one coordination respectively, shunt hybrid mechanism is driven axle and vehicle's wheel system transmission connection, in the process that vehicle decelerates or brakes, the inertia braking moment of wheel system is driven electric power generation all -in -one and generates electricity via shunt hybrid mechanism, and the electric energy that electric power generation all -in -one generates is stored via electric energy storage module.

The embodiment of the invention provides a 5G-Advanced sensing communication collaborative resource scheduling method and system for a smart substation, and belongs to the technical field of power system operation and maintenance. The method comprises the steps that a 5G-Advanced cellular-free unmanned aerial vehicle communication and sensing integrated network architecture is constructed, the network architecture comprises a passive sensing layer, an air-ground cooperative access layer and a centralized processing layer, and deep integration of sensing, energy supply and communication functions is achieved; establishing a system model based on the network architecture, wherein the system model comprises a network topology model, a communication and inductance integrated transmission model and a constraint optimization problem model; a cross-CPU dynamic resource scheduling algorithm based on MADDPG is designed, and joint optimization of user association, power distribution and load balancing is achieved through a centralized training-distributed execution mechanism; based on a scheduling algorithm and a system model, substation global real-time sensing, data transmission and operation and maintenance performance collaborative guarantee are achieved. The sensing fusion and coverage capability is greatly improved, the dynamic scene adaptability is better, and the sensing-operation and maintenance collaboration value is higher.

The application provides a static SVG device suitable for heavy load of a locomotive, relates to the field of railway power supply, and comprises a three-phase MMC converter, the three-phase MMC converter comprises three-phase bridge arms, each phase bridge arm is composed of an upper bridge arm and a lower bridge arm, the upper bridge arm comprises a plurality of cascaded half-bridge sub-modules, and the lower bridge arm comprises a plurality of cascaded half-bridge sub-modules, wherein the energy storage elements of the half-bridge sub-modules at least comprise super capacitors; further comprising: a voltage balancing module, which is used for determining the number of real-time input half-bridge sub-modules of the upper bridge arm and the lower bridge arm of each phase bridge arm, and determining the real-time input half-bridge sub-modules of the upper bridge arm and the lower bridge arm of each phase bridge arm based on the number of real-time input half-bridge sub-modules of the upper bridge arm and the lower bridge arm of each phase bridge arm; a network-forming voltage source control module, which is used for active control, reactive control and virtual impedance control, has the advantages of adapting to heavy load of a locomotive and improving the stability of power system operation.

The invention discloses a droop control method for an isolated microgrid based on a Logistic exponential function, comprising the following steps: Step 1, establishing an isolated microgrid three-phase inverter system, including a main circuit, a measurement system, a power calculation module, a droop control module, and a voltage and current double closed-loop module; Step 2, measuring the output voltage and output current of the isolated microgrid three-phase inverter by the measurement system; Step 3, inputting the power calculation module to calculate the real-time active power and reactive power output by the inverter; Step 4, inputting the droop control module to obtain the frequency value and reference voltage value of the isolated microgrid three-phase inverter system. Step 5, subtracting the reference voltage value from the output voltage value to obtain a voltage offset, inputting the voltage and current double closed-loop module, and obtaining a space vector pulse width modulation modulation wave SVPWM after processing; Step 6, the SVPWM controls the switch of the system power tube, thereby controlling the output voltage of the system and realizing overall precise control.

The invention discloses a micro-grid scheduling method and system, and the method comprises the steps: obtaining historical load data and meteorological data in a micro-grid, so as to build a load prediction model, and generating a load prediction value of the micro-grid according to the load prediction model; according to the load prediction value, power generation power distribution of different types of power generation units in the micro-grid is optimized; and generating a scheduling instruction according to the optimized power generation power distribution so as to control the output power of each power generation unit. By utilizing the embodiment of the invention, the power distribution of the power generation units can be optimized, so that a reasonable dispatching instruction is generated, the output power of each power generation unit is efficiently controlled, the operation efficiency and the economical efficiency of the micro-grid can be improved, the adaptability of the micro-grid to emergencies can be enhanced, and a foundation is laid for realizing the target of a smart grid.

The application relates to the technical field of semiconductor devices, in particular to a high-efficiency SiP power module which comprises a ceramic substrate, a metal frame, a metal cover plate and a plurality of power units; each power unit comprises a MOSFET, a transformer, a high-voltage capacitor and a high-voltage diode, an NTC thermistor, a PTC thermistor, an electrically-controlled variable resistor, a voltage-dividing resistor, a filter capacitor and a micro MCU; the NTC thermistor is connected in series on a source path of the MOSFET and is connected through a voltage-dividing circuit and the micro MCU; the PTC thermistor is connected in parallel with the source and the drain of the MOSFET; the micro MCU outputs a resistance value adjustment amount of the electrically-controlled variable resistor by analyzing voltage and resistance change conditions in the circuit, and adjusts the resistance value of the electrically-controlled variable resistor by using the resistance value adjustment amount. The application improves the heat management capability of the SiP power module and avoids local temperature imbalance.

The present invention discloses a method for optimizing the power distribution of a modular prismatic high temperature gas-cooled reactor, including: determining the average enrichment, the ratio factor of the enrichment of fuel assemblies in radial zones, and the ratio factor of the enrichment of fuel assemblies in axial layers; determining the enrichment of each fuel assembly according to the average enrichment, the ratio factor of the enrichment of fuel assemblies in radial zones, and the ratio factor of the enrichment of fuel assemblies in axial layers; and outputting the optimization result according to the enrichment of each fuel assembly. The beneficial effect of the present invention is that the present invention optimizes the enrichment of fuel assemblies at different positions according to the partitioned and layered arrangement, can effectively optimize the core power distribution, make the maximum temperature of the core fuel as low as possible, improve the core temperature rise margin, and ensure the realization of the inherent safety of the core.

The invention discloses a power switching method based on a new energy battery swap station and an intelligent remote monitoring system thereof, and relates to the technical field of new energy battery swap stations. Comprising the following steps: step 1, remote monitoring and real-time data monitoring, step 2, adaptive power switching algorithm and prediction algorithm, step 3, automatic power adjustment and distribution, and step 4, intelligent safety protection mechanism. The power scheduling intelligence is improved, and the safety and reliability of the system are greatly enhanced. Real-time monitoring and remote control are carried out through the cloud platform, power demand changes can be responded in time, power distribution can be optimized, and efficient operation of the battery swap station is ensured. When an abnormal condition occurs, the intelligent safety protection mechanism can quickly perform fault isolation, thereby ensuring that the battery swap station is not influenced, and reducing maintenance cost and response time.

The four-way shuttle vehicle comprises a vehicle frame main body, and a first wheel set is movably arranged on the side wall of the vehicle frame main body; the jacking plate is movably arranged on the frame main body, and a second wheel set is movably arranged on the side wall of the jacking plate; the at least two first control rods are rotationally arranged on the frame main body; at least two reversing mechanisms are arranged on the same first control rod and are respectively connected to the jacking plate and the frame main body; the first control rod rotates to drive the two reversing mechanisms to get away from or get close to each other and drive the frame body to get away from or get close to the jacking plate, so that the second wheel set or the first wheel set makes contact with the ground, and the movement direction of the four-way shuttle vehicle is changed. Compared with similar products, the device is simpler, simple in transmission, stable in structure and higher in efficiency.

The invention belongs to the technical field of satellite kinetic energy on-orbit confrontation testing, and particularly relates to an on-orbit confrontation device based on kinetic energy. The invention provides an on-orbit confrontation device based on kinetic energy, which comprises a driving mechanism, a first synchronous wheel is rotatably arranged in a motor seat, and a driving gear is connected with an output shaft of a motor; a main shaft is arranged in the cartridge mechanism testing shell, a second synchronous wheel is arranged on the main shaft, and a synchronous belt is connected between the second synchronous wheel and the first synchronous wheel; the test shell is provided with an emission port; the invention discloses a rotational acceleration kinetic energy on-orbit confrontation load device. The invention provides an on-orbit confrontation device based on kinetic energy, and according to the fact that the maximum constraint of the kinetic energy on-orbit confrontation load function limited by space combat is input power, power distribution needs to be optimized possibly so as to maximize the efficiency of the kinetic energy on-orbit confrontation load device. According to the scheme, speed superposition is achieved while certain power input is achieved by means of centrifugal force.

The invention belongs to the technical field of energy storage equipment, and discloses an energy storage unit heat management system and a control method thereof.The energy storage unit heat management system comprises a main loop, a refrigerant loop and an auxiliary loop; the refrigerant loop comprises a compressor, a condenser and a cooling fan assembly. The auxiliary loop comprises a heat dissipation water tank which is located on the side, away from the heat dissipation fan assembly, of the condenser. Wherein the heat dissipation fan assembly comprises a first fan unit and a second fan unit, and the first fan unit corresponds to the heat dissipation water tank in position. The heat dissipation fan assembly is mainly composed of the first fan unit and used in cooperation with the second fan unit, power distribution of the heat dissipation fan assembly is optimized, and the energy efficiency ratio is increased on the premise that the system is kept stable.

The present invention provides a vehicle-mounted launch device and method for a drone, belonging to the technical field of drone launch. The vehicle-mounted launch device for a drone includes: a lower frame; an upper frame, the upper frame is connected to the lower frame through a connecting rod; a support leg, the support leg is fixedly connected to the lower end of the lower frame; two limit plates, both of which are fixedly connected to the upper end of the upper frame; a limit rod, the limit rod is arranged in the two limit plates; the angle of the upper frame can be adjusted according to actual needs through an angle adjustment mechanism, so as to provide an optimal launch posture for the drone; the drone can be quickly deployed under different terrain conditions, and the launch angle can be flexibly adjusted according to different mission requirements, thereby increasing the adaptability and scope of use of the device. In addition, the vehicle-mounted design allows the entire launch device to be easily transported to any location, enhancing the maneuverability and response speed of the operation.

The present invention discloses a hybrid propulsion system land-to-air conversion power matching optimization method, comprising the following steps: Step 1: construct a land-to-air conversion working condition identification method for a flying car, and monitor the speed, acceleration, attitude angle, tire pressure and propeller speed parameters of the flying car in real time through a variety of sensors; Step 2: based on the working condition identification result in step 1, calculate the power requirements for land driving and air flight; Step 3: formulate a land-to-air switching strategy based on the power demand calculation result in step 2; Step 4: based on the optimization strategy in step 3, establish a feedback control mechanism, monitor the power matching effect in real time, and adjust the power allocation strategy according to the specific optimization requirements of the working condition to ensure the optimal state of power matching under different conversion working conditions. The present invention aims to ensure that the system achieves efficient and stable land-to-air conversion under different working conditions and improve the energy utilization efficiency and safety of the flying car by optimizing the power allocation strategy.

The invention discloses a coordination control method for a multi-machine parallel system of an energy storage inverter of a water-based sodium-ion battery. The method comprises the following steps: estimating the state of charge (SOC) of an energy storage module; calculating the average value of the SOC; calculating a difference value between the current state of charge (SOC) of each energy storage module and the obtained SOC average value, and calculating a balance coefficient of each energy storage module in combination with a deviation adjustment coefficient; calculating the given active power of each energy storage module, and carrying out the balance adjustment of the output of the corresponding energy storage module through the given active power. According to the method, the problems that a unit with high SOC continuously discharges at high power and a unit with low SOC prematurely quits operation due to traditional VSG control or droop control are solved, simulation display shows that after SOC equalization is added, the SOC of each energy storage unit gradually approaches, the initial module with high SOC descends faster, the module with low SOC descends slower, equalization is finally realized, and compared with traditional control, the method has the advantages that the control efficiency is improved, and the cost is reduced. And the service life and the stability of the whole system can be improved.

The utility model discloses an energy-saving automatic power distribution management system, which comprises an electric energy monitoring module, a load identification module, an energy-saving dispatching module, a remote control module and a data analysis module, has the functions of automatically popping up an alarm picture and prompting voice, and can inform related personnel through Email, mobile phone short messages and the like. The system realizes efficient monitoring, management and control of a power distribution system, improves real-time monitoring and response capability, reduces energy consumption, improves reliability of a power system, and meets the requirements of energy conservation and emission reduction.

The invention discloses an independent wheel sky rail driving bogie and a connecting structure thereof. The independent wheel sky rail driving bogie comprises a framework assembly, and a rail containing space is formed in the middle of the framework assembly; a plurality of independent wheels which are fixed on the framework assembly and can independently rotate are arranged at the upper part of the track accommodating space, and the framework assembly can walk along the track through the independent wheels; a driving trolley which is fixed on the framework assembly and can walk along the bottom surface of the track fixing seat is arranged at the lower part of the track accommodating space; the driving trolley can drive the framework assembly to walk along the track through independent wheels; a suspension assembly used for bearing a suspension vehicle body is fixed to the lower portion of the framework assembly. The lower portion of the framework assembly is connected with a vehicle body vibration reduction connecting structure used for being connected with a suspended vehicle body. In the sky rail running process, when a curve, gradient change or local unevenness of a rail occurs, the independent wheels can flexibly adjust the rotating angle and speed according to actual conditions, and the independent wheels can be better attached to the outline of the rail.

The application provides a kind of grid-side electrochemical energy storage power station energy management system control method, it is related to grid-side electrochemical energy storage power station technical field, energy management system includes monitoring host computer, coordination controller and energy storage battery group, control method includes: monitoring host computer receives the power scheduling instruction issued by grid dispatching system, and power scheduling instruction is passed to coordination controller;Wherein, power scheduling instruction includes active scheduling instruction and reactive scheduling instruction;After coordination controller receives power scheduling instruction, generate control rule, and control rule is sorted according to preset priority rule, obtain target rule;Coordination controller executes target rule, obtains initial control result;The state of charge of energy storage battery group is acquired, based on initial control result and the state of charge of energy storage battery group, determine the power distribution demand of energy storage battery group;Based on allocation demand, energy management system is controlled, so that energy storage power station can be efficiently controlled.