58 results about "Hybrid system" patented technology

This application relates to the field of power system stability control technology, specifically to a method and system for online stability assessment and control of hybrid systems based on an improved short-circuit ratio. The method includes: constructing an equivalent model of the integrated / grid-connected hybrid system; calculating the improved short-circuit ratio of multiple renewable energy power plants based on the voltage source characteristics of grid-connected equipment to quantify the grid strength at each grid connection point; constructing a characteristic polynomial based on the impedance matrix; and using the circular loop theorem to quickly search for the dominant eigenvalues, avoiding high-dimensional calculations, to obtain the critical short-circuit ratio. If the real-time short-circuit ratio is lower than the critical value, an instability risk is determined, triggering a control strategy that increases the capacity of grid-connected equipment or adjusts the grid connection point. This method, through the combination of the improved short-circuit ratio and the circular loop theorem, achieves online quantitative assessment and closed-loop control of the small-disturbance stability of integrated / grid-connected hybrid systems.

This application discloses a flexible power distribution network AC / DC hybrid control device and method empowered by quantum precision measurement. The device includes an AC / DC hybrid quantum interference measurement module, a quantum measurement control closed-loop linkage module, an adaptive quantum entanglement anti-interference shielding module, and a quantum classical collaborative backup control module. The method includes the following steps: S1, synchronously and precisely measuring the real-time magnetic field signals on the AC and DC sides of the AC / DC hybrid system; S2, amplifying the weak signals in the real-time magnetic field signals; S3, actively canceling external electromagnetic interference through the adaptive quantum entanglement anti-interference shielding module; S4, using the real-time magnetic field signals to solve the optimal power balance solution through the QUBO objective function and variational parameter optimization formula, and monitoring the state of the AC / DC hybrid system in real time, in order to solve the problems of large control delay, weak anti-interference capability, disconnect between measurement and control, and inability to adapt to dynamic topology changes in existing technologies.

Techniques for predicting an amount of at least one biomaterial produced or consumed by a biological system in a bioreactor are provided. Process conditions and metabolite concentrations are measured for the biological system as a function of time. Metabolic rates for the biological system, including specific consumption rates of metabolites and specific production rates of metabolites are determined. The process conditions and the metabolic rates are provided to a hybrid system model configured to predict production of the biomaterial. The hybrid system model includes a kinetic growth model configured to estimate cell growth as a function of time and a metabolic condition model based on metabolite specific consumption or secretion rates and select process conditions, wherein the metabolic condition model is configured to classify the biological system into a metabolic state. An amount of the biomaterial based on the hybrid system model is predicted.

The present application belongs to the technical field of vehicle gear shifting control, and specifically relates to a two-gear power split hybrid system gear shifting control strategy based on battery safety constraints, and specifically comprises the following steps: (1) introducing a power battery SOA boundary and an engine external characteristic to perform upper-layer target speed adaptive planning, and dynamically solving an engine target speed meeting a charge-discharge boundary; (2) based on the frequency domain response difference characteristics of multiple power sources, performing lower-layer active inertia damping control, using generator output reverse torque to suppress engine angular acceleration fluctuation, and realizing virtual decoupling of inertial torque; (3) based on the optimal matching principle of torque change rate, performing dynamic torque collaborative control, and inversely calculating and using motor action to compensate for torque loss; (4) performing multi-stage coordinated gear shifting according to the time sequence logic of a finite state machine. While effectively avoiding battery overcurrent risk and eliminating power interruption, the present application greatly reduces the longitudinal impact degree in the gear shifting process, and significantly improves the transient driving quality and smoothness of the vehicle.

This invention relates to the field of power electronic converter control technology and discloses a method and apparatus for judging the transient stability of a hybrid system with a grid-connected converter. The method includes constructing an equivalent model of the hybrid system comprising a grid-connected converter and a network-connected converter, wherein a virtual impedance is connected in series in the branch of the network-connected converter; constructing a Lyapunov energy function based on the equivalent model, wherein the independent variables include the power angle and phase-locked loop frequency of the grid-connected converter, and the power angle, frequency, and voltage amplitude of the network-connected converter; determining the stability domain boundary of the hybrid system using the Lassel invariant set principle when the derivative of the energy function with respect to time is less than or equal to 0; calculating the critical range of the virtual impedance based on the changing trend of the stability domain boundary, and determining the target value of the virtual impedance to maintain the transient stability of the hybrid system. The above method achieves quantitative judgment and parameter tuning of the transient stability of the hybrid system.

This invention discloses an adaptive tracking method and device for anti-dropped decoys based on a multi-model approach to measurement errors, belonging to the field of radar target tracking technology. The method includes constructing motion and centroid interference models for passive radar dropped decoys to determine the impact of interference on radar measurements; constructing a set of passive radar measurement models characterizing the time-varying characteristics of measurement noise, and establishing a hybrid system with uncertain measurement noise by combining the target motion model; employing an interactive multi-model architecture combined with a capacitive Kalman filter algorithm to perform interactive and parallel filtering on each sub-model of the hybrid system; updating the posterior probability of the measurement noise in each sub-model at the current moment in real time based on the measurement residuals and information covariance; and performing weighted fusion of the state estimates of each sub-model to obtain the adaptive tracking result. This invention effectively solves the tracking divergence problem caused by weak observability and time-varying measurement errors in passive radar under dropped decoy interference, significantly improving the tracking accuracy and robustness of the system.

The application relates to the technical field of automobile fault diagnosis, in particular to a hybrid power system fault processing method and device, a vehicle and a storage medium, wherein the method comprises the following steps: acquiring engine oil pressure and current operation data of a transmitter; determining engine oil pressure failure of an engine according to the engine oil pressure and the current operation data; identifying the hybrid power type of the vehicle, controlling the vehicle to perform a fault processing action according to the hybrid power type, and clearing a fault code corresponding to the engine oil pressure failure after the engine oil pressure failure is recovered. Therefore, the problems of untimely diagnosis, low fault repair pertinence and poor user experience in hybrid power system fault processing are solved.

The application discloses a hybrid system network converter long-time domain prediction control and non-disturbance switching method, and belongs to the technical field of power system control. In view of the problems of poor dynamic performance of a hybrid system of a network construction / following network converter under high proportion of new energy grid connection and easy impact of mode switching, the method is as follows: a long-time domain model is constructed to predict current control, a traditional PI current inner ring is replaced, a dq coordinate system is discretized to model, double-step length prediction is compensated to delay, a Lagrange extrapolation is used to update a reference current, current tracking accuracy and harmonic suppression capability are improved; a non-disturbance switching strategy is designed, an alpha-beta coordinate system and a current control ring are unified, a switching angle is locked and an initial value of an integrator is synchronized, a reference voltage is dynamically adjusted to guarantee variable continuity; the two strategies are integrated into a hybrid framework, stable operation and smooth switching under strong / weak power grid and transition working conditions are realized. The application reduces grid-connected current total harmonic distortion rate to below 0.85%, has no voltage and current impact in switching, and has the advantages of enhancing power system stability and flexibility.

The application discloses a quantum neural network hybrid system based on a memristor Hopfield and a training method thereof, and aims to solve the problems of low storage precision of complex quantum weights, poor quantum-classical collaboration and high energy consumption of the quantum neural network. The system comprises a quantum computing layer, a classical interface layer and a memristor Hopfield layer, and constitutes a closed loop through error feedback. The quantum computing layer extracts quantum entanglement features by using a quantum bit and a quantum convolution layer, and outputs complex quantum weights; the classical interface layer converts the complex quantum weights into memristor conductance values through polar coordinate mapping; and the memristor Hopfield core layer adopts a double-end complex memristor array to complete storage and associative memory operation. The training method optimizes quantum gate parameters and memristor conductance values through closed loop feedback collaboration. The application can reduce precision loss, realize stable and low-energy consumption storage, and is suitable for quantum key storage, medical image diagnosis and other scenes.

This invention discloses a fuel mixing system and experimental method for extreme environment testing of sustainable aviation fuel. The fuel mixing system includes a fuel mixing system, an extreme environment simulation system, an aircraft engine / combustion experimental system, and a fuel supply and return flow regulation system. The fuel mixing system is used to uniformly mix different types of aviation fuel to form a mixed fuel. The extreme environment simulation system is connected to the fuel mixing system and is used to simulate various extreme environments during the delivery of the mixed fuel. The fuel supply and return flow regulation system is connected to the extreme environment simulation system, the aircraft engine / combustion experimental system, and the fuel mixing system, respectively, and is used to regulate the mixed fuel supplied to the aircraft engine / combustion experimental system and return excess fuel to the fuel mixing system in an adjustable flow manner. This invention can test aviation fuel containing sustainable aviation fuel under various extreme environments.

This invention discloses a hybrid power system integrating a water-injection flash evaporation dual-mode piston engine and a five-stage gradient energy storage system. The engine adopts a one-piece cylinder head-less structure with passive valves embedded in the cylinder wall ports. An independent compressor actively scavenges air; during scavenging, excess air is injected, and the piston pushes back some air to precisely match the air-fuel ratio. The intake port supports both passive valve and active electronic control dual-mode operation. Atomized water is injected for flash evaporation after combustion in the initial stage of the power stroke. The cylinder walls are coated with a ceramic heat-insulating coating, eliminating the need for a traditional water-cooling system. It supports dual-fuel ignition (gasoline and diesel) and compression ignition dual-mode operation. Spark plugs are optional, and the number of cylinders and cylinder block layout are unlimited. It has independent direct-drive capability and can operate dynamically within a wide sweet spot, achieving a thermal efficiency of over 60%. The five-stage gradient energy storage system includes solar panels, supercapacitors, lithium titanate batteries, lithium iron phosphate batteries, and the engine itself. This system can achieve maximum energy cascade utilization under all operating conditions.

This invention discloses a power flow optimization control method for a power system with multiple DC shared grounding electrodes, belonging to the field of power system stability and control. The method includes the following steps: S1: Establishing the AC / DC hybrid system topology, constructing an AC / DC equivalent model with shared grounding electrodes, and completing component parameter calculations and per-unit value reduction; S2: Establishing a power flow optimization model under normal operating conditions, setting objective functions, AC / DC power flow equality constraints, inequality constraints, and upper and lower limit constraints for variables; S3: Under unipolar operating conditions, establishing a power flow optimization model with minimum load shedding as the objective, adding grounding electrode current constraints to the original normal operating constraints; S4: Solving the AC / DC hybrid system power flow model with multiple DC shared grounding electrodes based on the actual operating conditions of the system, outputting the optimal operating scheme and control settings for the system under normal or unipolar operating conditions, including generator output, DC control variable setpoints, and DC power distribution. This method can achieve coordinated operation and reasonable distribution of grounding electrode current among multiple DC transmission lines in an AC / DC hybrid system, improving the safety and stability of the AC / DC hybrid system under different operating conditions.

This invention provides a simulation method for a pressurized water phase regulation system of a hydropower unit, relating to the field of water conservancy and hydropower engineering technology. The method includes: analyzing and extracting system parameters, and establishing three modeling frameworks; constructing a turbine model within the first framework based on the water level in the runner chamber; setting different runner speeds, determining the optimal cross-sectional area of ​​the throttle valve based on Bernoulli's equation, dividing the lubrication interval according to flow rate, and establishing a mapping relationship between cross-sectional area and speed, constructing a leak-proof ring water supply system model within the second framework; establishing the relationship between water level and leakage time and flow rate, and combining hydraulic and pneumatic systems to construct an air-pressurized water-liquid mixing system model within the third framework; finally, building a control system, connecting and coordinating the detection and action components of each model to achieve signal acquisition and action control. This method effectively solves the technical problems of low design reliability, poor debugging efficiency, and difficulty in fault prediction caused by the lack of a complete simulation model in existing technologies, resulting in high reliability.

This invention belongs to the field of fluid-structure interaction dynamics analysis technology, and specifically discloses a method and system for analyzing the dynamic characteristics of an acoustic-frequency resonant hybrid system. The method includes: introducing an external excitation force vector and a fluid feedback force vector into the dynamic control equations of the acoustic-frequency resonant hybrid system to form coupled dynamic equations; numerically characterizing the fluid feedback force using a multi-harmonic fitting method to obtain a fluid force model; based on the fluid force model, obtaining the dominant frequency component of the fluid force and mapping it equivalently to an additional mass parameter and an equivalent damping parameter; then fitting the optimal functional form of the additional mass parameter and the equivalent damping parameter relative to the excitation acceleration; updating the coupled dynamic equations based on the optimal functional form to achieve dynamic characteristic analysis under different excitation acceleration conditions. This invention can accurately analyze the dynamic characteristics of an acoustic-frequency resonant hybrid system under high-acceleration vibration environments to address nonlinear dynamic problems induced by fluid-structure interaction.

A risk-based scheduling method for a cascade hydro-wind-solar hybrid system, taking into account both curtailment and load shedding risks, belongs to the field of multi-energy complementary scheduling. The main steps include: generating inflow sequences using the multi-station runoff Copula simulation method; solving the Copula for wind and solar joint distribution to obtain joint scenarios for wind and solar power output; combining these to obtain multi-source uncertainty scenarios; dividing the scheduling period into the current period and the remaining period; constructing a risk optimization simulation model with curtailment and load shedding as optimization objectives; obtaining approximate functions for the remaining period of historical scenarios; and, based on future inflow and wind / solar power output, calling the most similar historical remaining period approximate function to achieve rolling optimization scheduling of the cascade reservoirs. This method, through cascade risk-coordinated scheduling, comprehensively coordinates the regulation potential of hydropower units and the spatiotemporal complementarity of wind and solar power output, achieving dynamic matching between multi-energy output and system absorption, and significantly reducing curtailment and load shedding in the hydro-wind-solar optimization scheduling model.

The utility model discloses a movable high -power diesel -electric hybrid power system comprehensive performance test cabin relates to the comprehensive performance test technical field of diesel -electric hybrid intelligent power unit, including movable square cabin cabin body and cabin body accessory system, and cabin body accessory system includes refrigerating system, fresh air ventilation system, safety protection and harmful gas detection system, movable cooling water system, and cabin body can move to the altitude 5000m height with vehicle, and the refrigerating system that can work in the wide temperature range of -43~55 DEG C is collocated, 40000m 3 / h high -flow fresh air ventilation system, has realized that the high altitude low pressure start -up, heat dissipation performance and power performance test that traditional fixed test equipment is difficult to accomplish, has solved the disparity problem of power unit performance detection under the simulation environment and actual plateau environment, integral type design does not need secondary installation, and the test host is separated / connected in 30 seconds through the track structure and motor test bench, and the positioning accuracy is plus or minus 1mm, and cooperates the standardization interface, and the equipment debugging time is greatly shortened.

Systems, computer-implemented methods, and / or computer program products for facilitating time management of quantum programs at one or more nodes of a system, such as a hybrid classical / quantum system, are provided. A system, e.g., a classical portion of a hybrid system, can include a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can include a time management component that can communicate with a node to trigger the node to execute one or more quantum program instructions with respect to a counter of the node that is advanced by communication. The time management component can advance the counter at the node based on a combination of a time of another node and a determined actual propagation time for the communication.

The application relates to the field of robot technology, in particular to a hybrid processing robot based on a motion-redundant parallel mechanism, which comprises a fixed base, a movable base, a column and a motion-redundant parallel mechanism composed of two PRPU side branches and one PUPR middle branch. The end of the parallel mechanism is connected with a moving platform and a cutter, and the moving platform is provided with two rotating and one moving degrees of freedom. The moving along the X axis is realized through a guide rail pair between the movable base and the fixed base, and the moving along the Z axis is realized through a Z axis screw on the column, so that a five-degree-of-freedom hybrid system is formed. The application effectively avoids the singular configuration of the mechanism by introducing the motion redundancy, significantly increases the rotating capacity and the working space of the moving platform, has the advantages of high rigidity, high precision and high flexibility, and is suitable for efficient processing of complex parts.

The present disclosure relates to evolutionary algorithms accelerated by FPGA-GPU hybrids. Systems, methods, and computer-readable media for performing evolutionary algorithms using FPGA-GPU hybrid systems. A system for performing evolutionary algorithms can include an integrated circuit device having circuitry for performing population selection and evolution operations of an evolutionary algorithm and a parallel processing system for performing population evaluation of the evolutionary algorithm.

The application discloses an i-MMD intelligent hybrid system teaching platform, and relates to the technical field of automobile teaching aids.The i-MMD intelligent hybrid system teaching platform comprises a rack, an engine module, a generator module, a motor module, a transmission unit, a brake unit and a storage battery.The engine module is used for collaborative work in different driving modes and realizes power output.The generator module is used for energy conversion in hybrid mode and engine mode.The motor module is used for collaborative work in different driving modes, realizes power output and energy conversion.The transmission unit comprises a speed reducer connected with the engine module and the motor module, a differential connected with the speed reducer, a group of half shafts connected with the differential at both ends, and a group of tires connected with the group of half shafts at outer ends.The brake unit comprises two groups of opposite rollers and a group of driving devices used for driving the two groups of opposite rollers, and realizes braking and driving of the group of tires in a kinetic energy recovery mode.The storage battery is used for charging.The i-MMD intelligent hybrid system teaching platform has the advantages that it is convenient for students to understand power switching logic demonstration, kinetic energy recovery principle in the braking process, and simulation tire rotation charging.

The invention provides a start-stop and scheduling control method for an ALK-PEM hybrid hydrogen production system. The method comprises the following steps: collecting real-time output power and historical power data of a renewable energy power generation end; based on the real-time output power and the historical power data, outputting a power pre-judgment result in a future preset time period through an improved neural network model with electrochemical inertia compensation; according to a power pre-judgment result, combining the performance characteristics of the ALK and PEM electrolytic cells, and according to a rule that the ALK electrolytic cell unit is responsible for relatively smooth steady-state power and the PEM electrolytic cell unit is responsible for a steep rising and falling part, performing dynamic power distribution on the ALK and PEM electrolytic cell units; and according to the power interval where the real-time output power is located, hierarchical optimization control is conducted on the ALK electrolytic cell unit and the PEM electrolytic cell unit. According to the scheme, the problems that power distribution is unbalanced and the hydrogen production efficiency is low due to the fact that existing hybrid system control cannot deal with output intermittency of renewable energy sources are solved.

This invention relates to the field of energy system control technology, and particularly to a multi-objective optimization method and system for cascade hydropower projects involving coordinated power plant and grid operation. The method includes: establishing a mathematical model based on the operating characteristics of the cascade hydropower stations and the receiving-end power grid; constructing a mixed-integer linear programming model with the optimization objectives of maximizing the total power generation of the cascade hydropower stations and minimizing the operating cost of the receiving-end power grid; determining the constraint system based on the linear and nonlinear constraints in the mixed-integer linear programming model, and linearizing the nonlinear constraints; using the EPO-AL algorithm to transform the mixed-integer linear programming model into a single-objective model, and solving to obtain the Pareto solution set; screening the global Pareto solution set; and using a compromise solution selection method to determine the optimal power generation plan from the global Pareto solution set. This invention effectively solves the problems of infeasible scheduling schemes and imbalanced optimization objectives in hydropower-thermal power hybrid systems caused by dynamic constraint propagation delays and dimensional explosion in nonlinear programming.

This invention relates to the field of automated feeding technology, specifically to a timed and quantitative mixing feeding system for a plant. The system includes a weighing feedback module, an intelligent control host, and an execution drive cabinet. The weighing feedback module collects real-time weight data from each small material tower. The intelligent control host receives feeding parameters and real-time weight data and generates control commands. The execution drive cabinet drives the main material tower's discharge mechanism and the small material tower's discharge port valves according to the control commands. This invention achieves fully automated timed and quantitative feeding through closed-loop control and can automatically complete the mixing of A / B materials according to a set ratio. The system features automatic sequence switching, anti-blockage predictive control, and automatic pipe cleaning functions, effectively solving the problems of cumbersome operation, low accuracy, error-proneness, long processing time, and easy pipe blockage in traditional manual modes. This system significantly improves the automation level, accuracy, and efficiency of plant feeding, reduces labor costs and energy consumption, and enhances operational reliability.

The application provides a kind of hybrid photovoltaic field station grid-connected system static synchronous stability evaluation method and device, it is related to new energy grid-connected stability evaluation technical field.The application first builds double inverter grid-connected equivalent system model according to the operation and electrical structure parameters of hybrid system;Establish the output active power function with the virtual power angle of grid-connected type and network type inverter as independent variable;Under the premise of determining the existence of steady-state operating point, the static synchronous stability of the system is determined by calculating the partial derivative and directional derivative of the output active power with respect to the corresponding virtual power angle;Calculate the static synchronous stability reserve coefficient.The application simultaneously considers the static synchronous stability characteristics of the hybrid system internal grid-connected / constructed network power generation unit and the overall field station two levels, can more accurately evaluate the static synchronous stability margin of hybrid system, and provides reliable quantitative index for static stability check and operation mode adjustment in power system.

The invention discloses a lightweight high-safety-level hybrid system and a control method thereof. The system comprises a first two-out-of-two device, a second two-out-of-two device and a power supply device, wherein the first two-out-of-two device and the second two-out-of-two device operate independently; each of the first two-out-of-two device and the second two-out-of-two device comprises an input acquisition module used for receiving signals of each sensing device in the system; the processing module is used for generating a corresponding control signal according to the signal acquired by the input acquisition module; the output control module is used for outputting a control signal to drive an execution device to execute corresponding operation; the input acquisition module, the processing module and the output control module are sequentially connected through hard wires; and the power supply device is connected with the output control modules of the first two-out-of-two device and the second two-out-of-two device to supply power. According to the invention, the data processing efficiency can be improved, the transmission delay can be effectively reduced, the response time from input to output can be shortened, and the system is ensured to have high reliability and high security, so that the system is suitable for occasions with high requirements on function security.