9 results about "Access Grid" patented technology

The invention discloses a hybrid bonding terminal global dynamic matching method and a computer program product. The method comprises the following steps: acquiring pin connection configuration information; acquiring position information of a plurality of lattice points on the hybrid bonding interface; determining an optimization node; based on the optimization nodes, constructing a priority lattice point array corresponding to each optimization node; for each optimization node, selecting one grid point from the priority grid point array to start to access, stopping the access until the accessed grid point only belongs to one priority grid point array, forming a grid point set by a starting grid point, an end point grid point and all the grid points accessed in the access process, and updating the priority grid point array in the process of determining the end point grid point; and matching a unique lattice point for each optimization node in a mode of searching the shortest augmented path through iteration. Since the solution space is dynamically expanded from the local part in the process of searching the shortest augmented path, the invalid traversal is reduced, the peak memory required during the algorithm operation is reduced, and the matching efficiency is integrally improved on the premise of keeping the global optimum.

The application discloses a kind of multi-machine frequency response analysis method, device, equipment, medium and program product, it is related to the multi-machine frequency response modeling analysis technical field of enhanced SVG and distributed phase modifier, including: inputting preset disturbance power in the multi-machine frequency response model of target multi-machine grid-connected system, obtains the grid frequency variation of target multi-machine grid-connected system;Wherein, multi-machine frequency response model is based on the first equivalent frequency response model of phase modifier cluster access grid and the second equivalent frequency response model of enhanced SVG access grid is constructed, and is configured to reflect the functional relationship between disturbance power injected into grid and grid frequency variation, phase modifier cluster includes multiple distributed phase modifier;Based on grid frequency variation, the frequency stability of target multi-machine grid-connected system is analyzed.The application can realize the systematic frequency response analysis of enhanced SVG and distributed phase modifier multi-machine grid connection.

The invention discloses a generator non-inductive access grid connection method and system, and relates to the technical field of intelligent non-inductive grid connection, and the method comprises the steps: comparing a membrane potential value with an activation threshold value, carrying out the multi-dimensional state evolution through a quantum tunneling probability regulation and control mechanism, and generating a grid connection triggering instruction signal; carrying out mechanical vibration waveform coding on the grid-connected trigger instruction signal by adopting a stress wave carrier mechanism, and transmitting the coded signal to a grid-connected circuit breaker through a low-voltage non-inductive conversion box to obtain an instruction confirmation signal and an execution time delay parameter; generating a frequency synchronous compensation parameter and a transient suppression strategy through a magnetic flux vortex adaptive optimization algorithm based on the instruction confirmation signal and the execution time delay parameter in combination with the frequency-phase collaborative deviation value of the power grid frequency and the generator frequency; according to the invention, a biological neuron pulse control model is combined with a quantum tunneling probability regulation and control mechanism, so that efficient conversion from a mechanical vibration signal to an intelligent control instruction is realized.

The invention discloses a charging pile two-way energy management method and system for a V2G scene, and the method comprises the following steps: after a physical connection is established between a vehicle and a charging pile, executing the safety access handshake and user intention authentication, obtaining the state information of a vehicle battery, the user discharge intention and a minimum power-remaining threshold value, and carrying out the verification of the vehicle battery state information, the user discharge intention and the minimum power-remaining threshold value; the credibility of the user participating in the V2G is evaluated based on the historical travel data and the field behavior; a power grid side scheduling signal, a station load state and a vehicle dischargeable capability are accessed, a multi-target prediction scheduling engine is utilized to generate a short-term scheduling priority queue, the priority queue comprises an emergency frequency modulation response, a peak-valley arbitrage task and a station-level peak clipping task, and a scheduling instruction comprising a time window and a maximum charging and discharging amount is output. According to the invention, on the premise of ensuring user travel demands and battery life, valuable regulation service of a power grid is realized; according to the invention, through hierarchical coordination and high-performance power electronics, grid-connected impact and harmonic pollution are significantly reduced.

The invention relates to the technical field of 3D printing, in particular to a continuous fiber reinforced composite 3D printing path planning method and application, and the method comprises the following steps: mapping a three-dimensional free-form surface model of a component to a two-dimensional plane space and dividing the two-dimensional plane space into a two-dimensional grid space; determining a printing layer number upper limit; a random traversal method introducing a local optimal detection mechanism is adopted, a path is planned in the two-dimensional grid space, and a two-dimensional printing path is generated; mapping the two-dimensional printing path to a three-dimensional free-form surface model to generate a 3D printing path; in the random traversal process, randomly selecting a to-be-accessed grid according to the access times of the neighbor grids, and forcibly jumping when the to-be-accessed grid falls into local optimum; according to the method, cross-layer continuous random distribution can be achieved, the interlayer binding force of components is improved, isotropy of materials is achieved, the step effect is reduced, the comprehensive mechanical performance of thin-wall free-form surfaces and other components is improved, meanwhile, the method is applied to monofilament printing, internal defects existing in tow printing are avoided, and the printing precision is improved.

This invention discloses a smart power distribution network (PDN) device and control method for distributed energy grid integration, relating to the field of smart distribution network technology. It involves periodically collecting electrical quantities at the grid connection point, distributed energy output, load power, energy storage status, and transformer load rate. A sliding window filtering algorithm is used to perform low-pass filtering on the collected power signals. Based on the pre-processed real-time data, the device's operating state is divided into steady-state mode, transient support mode, and safety constraint mode through preset threshold dead zones and hysteresis characteristics. This invention effectively solves problems such as voltage exceeding limits and equipment overload caused by distributed energy grid integration through multi-modal adaptive control and dynamic optimization strategies, improving the stability and economy of the distribution network. Through a dynamic weighting mechanism and an improved particle swarm optimization algorithm, multi-objective collaborative optimization is achieved, enabling the power distribution strategy to adapt to changes in the grid's operating state in real time.

The invention discloses a multi-machine frequency response analysis method and device, equipment, a medium and a program product, and relates to the technical field of multi-machine frequency response modeling analysis of an enhanced SVG and a distributed phase modifier, and the method comprises the steps: inputting preset disturbance power into a multi-machine frequency response model of a target multi-machine grid-connected system, obtaining the power grid frequency variation of the target multi-machine grid-connected system; wherein the multi-machine frequency response model is constructed based on a first equivalent frequency response model of a phase modifier cluster access power grid and a second equivalent frequency response model of an enhanced SVG access power grid, and is configured to reflect a function relationship between disturbance power injected into the power grid and power grid frequency variation; the phase modifier cluster comprises a plurality of distributed phase modifiers; and based on the power grid frequency variation, analyzing the frequency stability of the target multi-machine grid-connected system. According to the invention, systematic frequency response analysis of multi-machine grid connection of the enhanced SVG and the distributed phase modifier can be realized.

The hybrid bonding terminal global dynamic matching method and computer program product of the application comprise: acquiring pin connection configuration information; acquiring position information of a plurality of grid points on a hybrid bonding interface; determining an optimization node; based on the optimization node, constructing a priority grid point array corresponding to each optimization node; for each optimization node: starting from a grid point selected from the priority grid point array, stopping when the accessed grid point only belongs to one priority grid point array, the starting grid point, the terminal grid point and all the grid points accessed in the process constituting a grid point set, and updating the priority grid point array in the process of determining the terminal grid point; and matching a unique grid point for each optimization node by means of iteratively finding a shortest augmented path. Since the process of finding the shortest augmented path starts from a local point and dynamically expands the solution space, invalid traversal is reduced, the peak memory required for algorithm operation is reduced, and the matching efficiency is improved as a whole while maintaining the global optimum.