10results about How to "Solve for stability" patented technology

The invention relates to a virtual power plant optimization scheduling method and system. The method comprises the following steps: establishing an operation model of a multi-type adjustable resource main body; constructing a master-slave game model of the aggregator and the resource main body, wherein the master-slave game model comprises an upper-layer model taking the aggregator as a leader and a lower-layer model taking the resource main body as a follower; solving a master-slave game model of the aggregator and the resource main body to obtain an optimal compensation price strategy and an optimal response power strategy, and constructing an optimal power scheduling plan according to the optimal response power strategy; the optimal power scheduling plan is used for being issued to each adjustable resource main body for execution so as to realize optimal scheduling of the virtual power plant. According to the method, the participation enthusiasm of the resource main body can be stimulated, the user participation degree can be improved, the scheduling instruction execution rate can be improved, the model accuracy can be improved, the cooperative capability of heterogeneous resources can be improved, and the overall operation economy and stability of the virtual power plant can be improved.

The invention discloses a maximum peak clipping criterion reservoir flood control optimal scheduling solving method for successive approximation of an optimal solution, and the method comprises the steps: constructing a maximum peak clipping criterion reservoir flood control optimal scheduling model, and inputting the data needed by model solving; defining A = 0 and B = qA; setting the safe discharge q 'MA of the downstream flood control section to be equal to (A + B) / 2; according to the set safety discharge q 'MA of the downstream flood control section, Muskinggen inverse inversion is conducted, and the reservoir safety compensation discharge constraint process of the iteration is obtained through calculation; carrying out moment-by-moment rolling scheduling; checking whether the obtained scheduling process accords with the reservoir water level constraint and the reservoir discharge flow constraint, if so, enabling B to be equal to (A + B) / 2, otherwise, enabling A to be equal to (A + B) / 2; and when A-B is smaller than a threshold value epsilon, outputting a scheduling process. According to the method, the reservoir discharge upper limit constraint is adjusted through iteration, and the reservoir flood control optimization scheduling optimal solution which conforms to the constraint and meets the required precision is gradually approximated.

The invention relates to an ammeter error solving method and device and a storage medium, and the method comprises the following steps: obtaining a measurement switch in a metering box and data of all sub-meters corresponding to the measurement switch, and carrying out the preprocessing of the data of all sub-meters; constructing a split-phase energy conservation equation set and a total energy conservation equation set based on the preprocessed data of all the sub-tables; establishing a simultaneous equation set of a split-phase energy conservation equation set and a total energy conservation equation set, and solving through a BFGS quasi-Newton method to obtain an initial fitting residual sequence; screening out the metering period data based on the data in the initial fitting residual error sequence to obtain an optimal data set, solving the optimal data set through the BFGS quasi-Newton method again, carrying out repeated iteration, and stopping iteration until an iteration stopping condition is met to obtain a final optimal data set; and calculating the error of each sub-table of the measurement switch based on the final optimal data set.

The application relates to an aircraft aerodynamic shape design method and system based on a partial differential equation, which comprises the following steps: obtaining the aerodynamic shape parameters of an aircraft and equation parameters of a partial differential equation and inputting a large language model constructed in advance; judging whether a closed-form analytical solution of the partial differential equation exists according to the equation parameters, outputting an analytical formula if the closed-form analytical solution exists, analyzing an obstacle factor if the closed-form analytical solution does not exist, judging whether transformation is needed based on the obstacle factor, simplifying the partial differential equation based on a transformation method, continuously analyzing the feasibility of operator splitting if transformation is not needed, generating a hybrid solver code if the feasibility of operator splitting is available, performing numerical stability analysis if the feasibility of operator splitting is not available, generating stability parameters and a pure numerical solver code, solving the partial differential equation based on the pure numerical solver code and outputting flow field data, and further optimizing the aerodynamic shape of the aircraft. Compared with the prior art, the application has the advantage of high quality of generated solvers.

This invention is a method for inverting azimuth difference seismic data in inclined fractured rocks. Previous AVAZ inversion methods for fracture parameters were mostly based on the HTI medium assumption, with insufficient consideration for fracture dip angle. The fixed form of the inversion constraint terms made it difficult to adapt to changes in parameter statistical characteristics, and the regularization parameters were all manually adjusted, affecting inversion accuracy and efficiency. This invention establishes an approximate formula for the reflection coefficient of the TTI medium, characterized by the P-wave and S-wave velocities, density, and fracture elastic parameters of the background medium. It utilizes pre-stack azimuth difference data to perform AVAZ inversion of fracture parameters. Dynamic sparsity constraints are introduced, dynamically adjusting the sparsity of the constraints based on data characteristics, and a covariance matrix is ​​introduced to consider the statistical regularity between parameters. Combining iterative reweighted least squares and adaptive regularization parameter acquisition methods, the dynamic constraint inverse problem is transformed into a weighted... L A 2-norm objective function is used to achieve a stable solution. Data testing shows that this invention can effectively improve the inversion accuracy of crack elastic parameters.

The invention discloses a seismic response sample expansion method based on a non-linear kernel function and an evolutionary strategy, which realizes expansion of small sample data by establishing and sampling a multi-dimensional normal distribution model of building seismic response data, and introduces the non-linear kernel function to calculate non-linear relevancy among features in a data set. According to the method, complex feature association of data is more accurately captured by a distribution model, an evolutionary strategy method is adopted, a nonlinear covariance matrix of the distribution model is optimized by maximizing the similarity between an expansion sample and an original data set, and therefore stable solution in the data expansion process is ensured, and the problem that an existing sample expansion algorithm is unstable is solved.

The invention discloses a Fourier series-based one-dimensional magnetotelluric anisotropy inversion method and system, and the method is used for achieving the inversion calculation of the resistivity of each layer of underground medium in an underground layer model, greatly reducing the number of inversion variables, and remarkably improving the calculation efficiency and reliability. The core of the method is that a Fourier series expansion method is introduced, and the Fourier series expansion method is creatively adopted to approximate resistivity distribution of an underground medium; in addition, the objective function is basically optimized in multiple aspects, for example, a Tikhonov regularization objective function based on an L1 norm is introduced; an alternating direction multiplier method (ADMM) algorithm is introduced and is used for efficiently optimizing the constructed target function; and the upper and lower bounds of the resistivity can be set according to empirical data, so that the search range of a solution space is narrowed, the calculation efficiency is improved, a complicated underground structure can be dealt with better, and a physical unreasonable result caused by an overlarge solution space is avoided.

The invention provides an equilibrium strategy generation method, device and equipment for a large-scale unmanned cluster game, relates to the technical field of large-scale autonomous system decision control, and aims to solve the defects of poor stability and low calculation efficiency when an equilibrium strategy is generated for a large-scale unmanned cluster in the prior art. And efficient collaboration and autonomous decision-making of a large-scale cluster in a complex environment are realized. Comprising the following steps: dividing devices included in a device cluster into a plurality of populations based on characteristic parameters of each device included in the device cluster; constructing an average field game model of the plurality of populations, wherein the average field game model is used for reflecting an interaction effect among the plurality of populations; iteration is carried out based on a target mode and the average field game model, a balance control strategy of the equipment cluster is obtained, and the target mode comprises at least one of exponential weighted aggregation, near-regularization, bootstrap regularization and heuristic acceleration; and controlling the equipment cluster to execute the target task based on the balance control strategy.

The invention provides a frequency domain dielectric spectrum conductance component separation method using complex dielectric constant differential, which comprises the following steps: subtracting a polarization complex dielectric constant imaginary component from an actually measured complex dielectric constant imaginary component to obtain an alternating current conductance contribution in a complex capacitance imaginary component, and solving an alternating current conductance component in an FDS spectral line through a fitting method. According to the method, a mathematical derivation mode is used for analyzing a relational expression between a complex dielectric constant real part first-order differential and a polarization complex dielectric constant imaginary part (namely, the complex dielectric constant imaginary part not containing the alternating current conductance component), and the method for separating the alternating current conductance component contained in the FDS atlas under the double logarithmic coordinate system is obtained through the relational expression and the thought of coordinate transformation. By means of the method, the purpose of accurately and stably solving the alternating current conductance component can be achieved.

The application discloses a wheeled quadruped robot dynamic obstacle avoidance method, system and device, relates to the technical field of robot autonomous navigation and motion control, and comprises the following steps: collecting environment original point cloud data and pose information of a wheeled quadruped robot, pre-processing the point cloud data to obtain an obstacle cluster; calculating the centroid position and speed information of each obstacle cluster; predicting the position of the obstacle in a future time period; obtaining an initial predicted trajectory based on the pose information of the wheeled quadruped robot; combining the predicted position of the obstacle to construct a relative motion point stream of the obstacle; performing feature extraction to obtain a dual variable feature; constructing a model predictive control optimization problem; solving the optimization problem by using an alternating solution algorithm to obtain an optimal control sequence at the current moment; and finally generating an optimal control instruction to drive the wheeled quadruped robot to perform a dynamic obstacle avoidance action. The application can improve the motion real-time performance, stability and environmental adaptability of the wheeled quadruped robot in a complex environment.