7results about How to "Speed ​​up the solution" patented technology

The application provides a kind of offshore wind farm double-sided annular power collection system planning and design method, comprising the following steps: S1: obtaining all candidate construction cables in the planning area: receiving all node coordinates and the maximum distance, the node includes offshore wind turbine and offshore substation, for each node, list all optional construction cables between it and its surrounding nodes, select the cable less than the maximum distance as the candidate construction cable;S2: obtain all candidate cable combinations that occur intersection, and impose constraints so that candidate cables that can occur intersection cannot be constructed at the same time;S3: based on capacity constraint vehicle routing planning and power system expansion planning to establish power collection system planning model;S4: solve offshore wind farm power collection system planning optimization model using commercial solver.The technical scheme of the application can guide the design of large-scale offshore wind farm power collection system topology structure that meets the "N-1" rule, and has better stability.

The invention belongs to the technical field of regional power grid electric energy quality management, and discloses an offshore wind plant station harmonic resonance suppression method, system and device and a medium, and the method comprises the steps: calling the residual capacity of an offshore wind power access node, carrying out the primary harmonic compensation based on the residual capacity, and carrying out the primary evaluation of a regional power grid after the primary harmonic compensation; if the initial evaluation does not meet the preset suppression requirement, establishing a collaborative suppression mechanism by combining an active filter, performing secondary harmonic compensation by applying the collaborative suppression mechanism, and performing secondary evaluation on the regional power grid after the secondary harmonic compensation; and if the secondary evaluation result still does not meet the preset suppression requirement, performing iterative optimization on the parameter configuration of the active filter and the utilization configuration of the residual capacity by using an improved particle swarm optimization algorithm to obtain an optimal configuration scheme. According to the invention, through cooperative utilization of the residual capacity of the wind power, the number of active filters is reduced, the treatment cost is reduced, and the wind power compensation economy is optimized.

The utility model discloses a kind of photolithography alignment mark pattern structures of supporting auxiliary focusing, with the first alignment mark main pattern of cross shape and 4 second alignment mark main patterns of square block shape respectively set in four quadrants of cross shape, characterized by: in the cross shape of the first alignment mark main pattern 4 end portions, each cooperation is provided with a first MTF target pattern, in the 4 square block shape of the second alignment mark main pattern outer corner, each cooperation is provided with a group of second MTF target pattern.The utility model can realize the quick quantitative evaluation of alignment mark imaging quality, help to ensure that the mark image is acquired in optimal state, and then the position coordinate where mark is calculated with higher precision.

The invention discloses a cluster decision-making method and system based on evolutionary transfer learning, and belongs to the technical field of local security protection, and the method comprises the following steps: S1, initializing a chasing scene, and generating a current task parameter group; s2, determining a most similar task parameter group; s3, determining a Pareto frontier solution with a fixed size according to the most similar task parameter group; s4, obtaining an optimal solution of the current task parameter group, and determining the fitness of the optimal solution; and S5, updating the positions of the pursuit agent and the escape agent. According to the method, the historical optimal solution set is dynamically screened, global optimization experience of similar tasks is inherited, the local evolution advantage of adjacent tasks is reserved, inter-generation and inter-time-sequence knowledge migration is achieved, and therefore the solving process of the current task is remarkably accelerated.

The application discloses a point cloud registration method based on global feature and local feature fusion, comprising the following steps: obtaining a reference point cloud and a point cloud to be registered; extracting point cloud features of the reference point cloud and the point cloud to be registered respectively to form an initial reference point cloud feature set and an initial point cloud to be registered feature set; introducing self-attention mechanism and cross-attention mechanism, and introducing correlation information between the reference point cloud and the point cloud to be registered to form a final reference point cloud feature set and a final point cloud to be registered feature set; obtaining similarity information between each point pair; constructing a matching point pair relationship matrix according to the similarity information between the point pairs; obtaining a transformation model parameter of the reference point cloud and the point cloud to be registered; and registering the reference point cloud and the point cloud to be registered. The application fully excavates potential spatial topological structure information of point cloud data by combining local features and global features, obtains point cloud fusion features with rich semantic information, and can effectively improve the accuracy of point cloud registration.

This application discloses a method, equipment, and medium for longitudinal vibration response analysis of large-diameter floating piles, relating to the field of engineering construction technology. The method includes: constructing a pile-soil coupled dynamic model by simplifying the soil around the pile and correcting for continuous variable cross-sections; performing dimensionless processing on the pile-soil coupled dynamic model; constructing a physical information neural network architecture; calculating the partial derivatives of the network output data corresponding to the network input data to determine the model loss function; training the physical information neural network until the model converges through importance sampling and phased collaborative optimization to obtain the physical information neural model; calculating the predicted velocity curve at the pile top of the large-diameter floating pile; and calculating the residual waveform between the predicted velocity curve at the pile top and the real-time pile top velocity signal to obtain the longitudinal vibration response analysis results of the large-diameter floating pile. This application solves the technical problems of low efficiency, poor robustness, and inability to meet timeliness requirements in the vibration response analysis of large-diameter floating piles through the above method.

The invention belongs to the technical field of integrated energy system planning, and particularly relates to a power grid control method and system. The power grid control method provided by the invention comprises the following steps: setting constraint conditions of new energy power generation, adjustable power load, electrolytic hydrogen production and energy storage; predicting safety parameters through load flow calculation; determining a target function, and constructing a corresponding relation between a penalty function and an out-of-limit value of the safety parameter; carrying out optimization solution on the solution variable through an intelligent algorithm to obtain an optimal variable for realizing the target function, and executing the optimal variable; and judging whether safety parameters are out of limit or not in real time in the execution process. The hydrogen capacity of electrolytic hydrogen production, the energy storage capacity constraint of the energy storage device and the power grid safety constraint are fully considered, and the safety stability of the hydrogen production device, the adjustable power load and the electrochemical energy storage device and the economical efficiency of system operation are guaranteed through the hydrogen, the adjustable power load, the capacity constraint of electrochemical energy storage and the power flow constraint.