12results about How to "Achieve power" patented technology

The application provides a sensitivity-based energy storage charging and discharging strategy method, and relates to the technical field of power system energy storage, which comprises the following steps: obtaining current section flow data and current section flow limit value, and judging whether there is a current overload / limit-exceeding section according to a preset overload / limit-exceeding standard; receiving an energy storage charging and discharging request, obtaining energy storage section sensitivity, and determining whether to allow energy storage charging and discharging operation in combination with the judgment result; if energy storage charging and discharging operation is allowed, calculating the maximum charging and discharging power; constructing a short-term load prediction model to determine predicted section flow data; constructing an energy storage charging and discharging strategy to calculate the predicted section flow change amount, and then obtaining simulated section flow data in combination with the predicted section flow data; judging whether there is a future overload / limit-exceeding section again according to the preset overload / limit-exceeding standard, and adjusting the energy storage charging and discharging strategy, so that the real-time performance and adaptability of energy storage charging and discharging can be improved, the energy storage utilization efficiency can be improved, and the safe operation of the power grid can be ensured.

The application provides a two-stage MPC control method and system for power smoothing output, and relates to the field of new energy control. A discrete state space prediction model is constructed; all state variables are obtained in the current sampling period and used as the input of the first-stage MPC control; the mechanical and electrical state prediction sequence and the optimal control input are obtained by combining the constraint condition and the dynamic optimization objective function of the second-stage MPC control feedback in the last sampling period; in the second-stage MPC control, the optimal power trajectory meeting the smoothing requirement is obtained by combining the smoothing optimization objective function, and is mapped to the control constraint interval of the next sampling period and fed back to the first-stage MPC control; the optimal control input is applied to the execution equipment, and after the constraint condition is fed back to the first-stage MPC control, the next sampling period is entered. The application can inhibit the rapid fluctuation of the generated power without energy storage devices, improve the grid connection quality, and enable the renewable energy power generation system to still stably output under the severe changes of the external environment.

This invention relates to the field of robot actuator technology, specifically disclosing an integrated joint module with torque sensing and energy self-recovery, and its design method. The method includes: constructing the physical architecture of the joint module; constructing a nonlinear elastic torsional model and a dynamic friction model of the harmonic reducer to calculate and derive the torque; calculating the physical sampling torque; fusing the derived torque and the physical sampling torque using an adaptive Kalman filter to obtain the final torque signal; constructing an energy feedback model under motor braking mode, and calculating the instantaneous flow of recoverable electrical energy in real time based on the energy feedback model when the joint module decelerates or is dragged by an external force; introducing a supercapacitor and a DC-DC converter for energy recovery; and releasing the energy stored in the supercapacitor to the DC bus when the joint module starts up or enters the acceleration phase. This invention can effectively eliminate nonlinear transmission interference caused by the harmonic reducer and can achieve on-site recovery of braking kinetic energy and peak power assistance.

A novel electric hoisting system includes a motor and a drum connected by a drive mechanism. The output end of the motor is driven by a planetary gear reducer, and the output end of the planetary gear reducer is driven by the drum to drive its rotation. The output end of the motor is driven by a first reduction unit, and the output end of the first reduction unit is driven by the input end of the planetary gear reducer. The motor and the first reduction unit are externally located on the drum. This hoisting system, based on existing technology, adds a first reduction unit, which, when used with a low-torque motor, can meet the power and torque requirements of the entire hoisting system, thereby reducing costs.

The application discloses a self-adaptive SOC equalization control method in a black start process of an energy storage system. Compared with the prior art, the application has the following beneficial effects: compared with the traditional black start control strategy of the energy storage system, the method disclosed by the application effectively realizes SOC balancing and power sharing of different energy storage units in the energy storage system by using a self-adaptive SOC equalization strategy. The application provides an energy storage system capacity configuration strategy in the black start process and a safety threshold of charging and discharging power of each energy storage unit of the energy storage system. The method disclosed by the application improves the stability and reliability of the black start process of the energy storage system.

The invention provides a grid-connected inversion control method and system for wind power generation, and belongs to the technical field of inverter control. The method comprises the following steps: pre-storing power optimization curves respectively corresponding to a plurality of different wind speed intervals; monitoring the real-time wind speed, recognizing the current wind speed interval according to the real-time wind speed, and calling the power optimization curve corresponding to the current wind speed interval as the maximum power point tracking reference to control the fan; when the braking requirement of the fan is detected, regenerative electric energy generated by the fan is converted into alternating current through a bidirectional power conversion circuit, and the alternating current is connected into a power grid or charges an energy storage device; the wind speed, output power and direct current bus voltage parameters are monitored in real time, when the super wind speed, super power or super voltage condition is detected, regenerative electric energy recovery braking is started firstly, and if the rotating speed still exceeds a safety threshold value, a mechanical braking mechanism is triggered. The economical efficiency and reliability of wind power generation can be improved.

The application relates to the technical field of energy storage, and discloses a hybrid energy storage system and method supporting mode switching, which comprises a data acquisition and communication module, an operation state analysis and mode decision module, a switching trajectory planning and cooperative control module, a safety monitoring and dynamic compensation module, a panoramic instruction integration and execution module, and a strategy self-learning and optimization module; target operation mode instructions are generated by inputting comprehensive operation state characteristic data of the system into a pre-trained mode research and judgment neural network model, combining a pre-set hysteresis comparison strategy and a minimum time interval constraint of mode switching, and realizing research and judgment on multiple operation modes such as power smoothing, peak clipping and valley filling, frequency modulation auxiliary services, so that frequent mode switching caused by state fluctuations is avoided; characteristic data, control sequences and safety evaluation data of the whole switching process are recorded to form a history library, and the optimization of the switching strategy is realized.

The invention provides a charging device, a control method and a control device, and relates to the technical field of charging, and the charging device comprises a power input end, a power output end, a power conversion circuit, a battery module, a DC voltage conversion circuit and a main control circuit. The power conversion circuit is used for converting alternating-current voltage input by the power input end into first direct-current voltage and outputting the first direct-current voltage to the power output end. The DC voltage conversion circuit is used for converting the first DC voltage into a charging voltage of the battery module to charge the battery module, and is also used for converting a voltage output by the battery module into a second DC voltage and outputting the second DC voltage to the power supply output end. And the main control circuit is used for controlling one or both of the power supply conversion circuit and the DC voltage conversion circuit to work according to the working state, so that the charging device can be flexibly switched in different power supply modes, and the function of external power supply, battery power supply or cooperative power supply is realized.

The application discloses a power backflow and confluence transmission system for a tracked platform, which comprises a gearbox, a differential motor, a differential gear ring, a left sun gear, a right sun gear, a planetary gear and a reverse mechanism; the differential gear ring, the left sun gear and the right sun gear are coaxially connected to the gearbox, the planetary gear is rotationally connected to the differential gear ring, and the left sun gear and the right sun gear are symmetrically engaged on the two sides of the planetary gear; the differential motor is connected in transmission with the differential gear ring, the left sun gear is connected with a left electric transmission mechanism, and the right sun gear is connected with a right electric transmission mechanism in sequence. The application is applied to the field of engineering machinery, simplifies the structure, and can realize dynamic adjustment of backflow power, can dynamically change the output power by adjusting the output torque of the differential motor according to the characteristics that the differential bevel gear in the differential axle has a large reverse force and is equal to half of the output force of the intermediate differential motor, and realizes efficient differential control.

A multi-mode hybrid power tractor driving system and a control method thereof relate to the technical field of hybrid power tractors, and comprise an engine, an independent PTO module, a generator, two groups of electric driving systems and a central clutch. The electric drive system comprises a motor and a coupler, and the coupler achieves power converging and shunting through a planet row, a brake and a synchronizer. The system realizes various modes such as single drive, conventional four-wheel drive, super front and rear drive and inter-axle power distribution by controlling the state of each clutch, and can concentrate the power of the double motors to improve the traction force or perform redundant drive when one side breaks down. The PTO direct connection engine guarantees heavy-load operation, and the generator optimizes the working condition of the engine. The problems that a traditional fuel vehicle is high in emission and large in energy consumption, and an existing hybrid vehicle is complex in transmission and low in efficiency are solved, organic unification of environmental protection, energy conservation and intelligent control is achieved, and the vehicle is particularly suitable for the heavy-load operation requirement under the agricultural complex working condition.

The invention discloses a multi-converter-station reactive power control method for a flexible direct-current output system based on a power operation domain, and belongs to the technical field of offshore wind power flexible direct-current power transmission. The method comprises the following steps: calculating the reactive power demand of a receiving-end converter station according to grid-connected point voltage, a reactive power initial value before reactive power fluctuation of the converter station and other information; then stable operation constraint conditions of the receiving-end converter station are analyzed, the constraint conditions comprise converter station apparent power constraint, converter station alternating current limit constraint and converter station alternating current bus voltage constraint, and the steady-state power operation domain of the receiving-end converter station is determined by solving the boundary of the constraint conditions; and finally, based on a reactive power demand and the steady-state power operation domain, designing an active rapid transfer control method considering reactive fluctuation, and realizing power mutual aid and cooperative control among multiple converter stations. According to the method, the offshore wind power flexible direct output system can be always maintained in a steady-state power operation domain, and the reactive power supporting capacity and the operation stability of the system are improved.