12 results about "Admittance parameters" patented technology

The invention provides a distribution line fault positioning precision self-correction method based on a digital twin model, and the method comprises the steps: independently constructing a virtual branch of a parallel admittance structure for each phase for each measurement point node of the digital twin model, and initializing the admittance vectors of all virtual branches; obtaining a three-phase current measured value of the distribution line, a three-phase voltage amplitude measured value and a power measured value of each measuring point node, and a corresponding power theoretical value in the digital twinborn model; obtaining a residual vector between the power measured value and the power theoretical value; assigning a division result of the residual vector and the voltage amplitude square matrix to an admittance vector; and acquiring the virtual power of each virtual branch according to the admittance vector, and correcting the admittance parameter of the distribution line in the digital twinborn model according to the current measured value. According to the method, the digital twin model can continuously and automatically track parameter changes of a physical system through a closed-loop correction mechanism, and the precision and reliability of fault positioning based on the model are ensured.

This invention discloses a dexterous hand slip adaptive control method based on variable admittance observation, comprising: constructing equivalent Jacobian coefficients and calculating the physical velocity of the fingertips at the dexterous hand's end; when the detected normal contact force exceeds the trigger threshold, switching to a force-position hybrid control architecture, which employs an outer-loop variable admittance control combined with an inner-loop PID position tracking; in the outer-loop variable admittance control, the virtual mass and virtual damping of the variable admittance controller are dynamically adjusted through a variable admittance-regulated control law; when slip occurs, the target normal contact force required to maintain stability is recalculated through an adaptive force adjustment algorithm, and the target normal contact force is input as a new target force into the variable admittance controller, and stable grasping is reconstructed by dynamically adjusting the variable admittance parameters. This invention can effectively balance energy absorption during the collision phase and force tracking agility during the steady-state phase, while reducing the computational burden and enabling high-frequency real-time observation.

This invention provides a method for constructing a threat model based on sensitive information reverse inference using electricity price data, belonging to the field of smart grid analysis technology. This invention constructs a homogeneous linear equation model between electricity price and admittance matrix based on a DC power flow model and a local marginal price theory model. It extracts node and edge features from power data, inputs them into a dynamic routing encoder, outputs encoded feature sequences of nodes and edges, performs time-series modeling on the encoded features, outputs the grid admittance parameter sequence at each time step, and corrects and optimizes the parameter sequence. A differential privacy mechanism is used to perturb the electricity price data. Combined with the optimized parameter sequence, the sensitive information reverse inference threat model is constructed. This invention utilizes dynamic feature encoding and time-series modeling techniques, combined with a differential privacy strategy, to achieve effective reverse inference of grid admittance parameters based on publicly available data, and also completes privacy protection and risk assessment of electricity price data using the differential privacy strategy.

The invention relates to the technical field of grid-connected equipment impedance control, in particular to a wide-frequency-domain self-adaptive admittance control method and system considering the frequency coupling effect, and the method comprises the steps: building a wide-area admittance remodeling control loop considering the frequency coupling effect, comprising a virtual impedance control branch, a DC voltage loop control branch, a current loop forward control branch and two virtual impedance feed-forward branches. Selecting a reference virtual resistor based on a converter fundamental wave reactance coefficient, and determining a maximum variable admittance remolding adjustment coefficient and a numerical range of a reference virtual inductor through grid-connected converter GCC self-stability constraint; the variable admittance remolding adjustment coefficient is automatically adjusted based on the total harmonic distortion (THD) of the voltage component, the value of the amplification coefficient is determined based on the constraint of the maximum adjustment coefficient, and the admittance self-adaptive control of the converter is realized. And the method also has the advantages of broadband adjustment characteristic, simple admittance parameter setting, adaptive admittance adjustment and the like.

The present application relates to the technical field of electric power metering, and provides a voltage transformer error prediction model construction method, an error evaluation method and a device, the construction method comprising: collecting voltage and current phasors of a monitoring node and obtaining three-phase admittance parameters; constructing a node feature matrix based on the voltage and current phasors, establishing a graph adjacency matrix based on the three-phase admittance parameters, and using the node feature matrix and the graph adjacency matrix to perform error prediction by using a graph neural network to obtain voltage and current prediction errors; obtaining voltage estimated true values based on the voltage phasors and the voltage prediction errors, obtaining current estimated true values based on the current phasors and the current prediction errors, and determining voltage drop and current balance constraint losses of a three-phase transmission line based on the voltage estimated true values and the current estimated true values; and performing parameter iteration on the graph neural network based on the voltage drop and the current balance constraint losses to obtain an error prediction model. The method and device provided by the present application can maintain stable performance under different operating conditions and network topologies.

The invention relates to the technical field of electric power measurement, and provides a voltage transformer error prediction model construction method and an error evaluation method and device, and the construction method comprises the steps: collecting the voltage and current phasors of a monitoring node, and obtaining a three-phase admittance parameter; constructing a node feature matrix based on the voltage and current phasors, establishing a graph adjacency matrix based on the three-phase admittance parameters, and performing error prediction by using the node feature matrix and the graph adjacency matrix and adopting a graph neural network to obtain voltage and current prediction errors; obtaining a voltage estimation truth value based on the voltage phasor and the voltage prediction error, obtaining a current estimation truth value based on the current phasor and the current prediction error, and determining voltage drop and current balance constraint loss of the three-phase power transmission line based on the voltage estimation truth value and the current estimation truth value; and performing parameter iteration on the graph neural network based on the voltage drop and the current balance constraint loss to obtain an error prediction model. According to the method and the device provided by the invention, the stable performance can be kept under different operation conditions and network topologies.

The application discloses a power distribution network optimization partitioning method considering three-phase power imbalance, relates to the technical field of large-scale power distribution network partitioning, and comprises the following steps: according to local sensitivity calculation, combining line admittance parameters of a power distribution network, calculating a voltage sensitivity matrix between nodes, and deducing electrical distance; then taking the electrical distance as an edge weight of a power distribution network topology, combining the concept of modularity, and using a Louvain algorithm to obtain a preliminary partitioning result; then according to a partitioning number constraint, selecting a flow method or a hierarchical flow method to perform sub-region merging, and obtaining a non-overlapping partitioning result; finally, according to a distributed algorithm requirement, the non-overlapping partitioning result can be overlapped based on a maximum information interaction principle. The application not only solves the influence of three-phase imbalance on partitioning, but also speeds up the partitioning algorithm, and has more advantages in partitioning effect and partitioning stability.

This invention relates to the field of power systems and their automation technology. It provides a method for constructing a traction network simulation model based on current distribution characteristics. The method includes: establishing multi-conductor transmission line equations based on Maxwell's equations, including Gauss's law and Faraday's law; deriving a chain-like network model of the traction network based on the multi-conductor transmission line equations and a chain circuit model with multi-conductor transmission lines as the backbone and randomly connected transverse elements; simplifying the chain-like network model to obtain a simplified series impedance matrix equation and a parallel admittance parameter matrix after conductor merging; and calculating the series impedance and parallel admittance values ​​using the simplified series impedance matrix equation and the parallel admittance parameter matrix after conductor merging. This invention improves the accuracy and applicability of traction network electrical simulation and signal analysis.

The invention relates to the technical field of power systems, and provides an alternating current optimal power flow solving method and system.The topological connection data, line admittance parameters and node load data of a target power grid are obtained, the topological connection data are constructed into an adjacent matrix, and the node load data are constructed into a node initial feature matrix; a node deep feature matrix is generated through multi-layer graph convolutional network iteration aggregation transformation, a node voltage amplitude and active power and reactive power of each branch circuit of a target power grid are calculated through a physical constraint output layer based on the node deep feature matrix and a line admittance parameter, and finally, the active power and the reactive power of each branch circuit of the target power grid are calculated by combining the line admittance parameter and node load data. And an optimal power flow scheduling scheme is obtained through system state reconstruction and power balance calculation. Through precise adaptation of the graph convolutional network and the power grid topology, cooperative guarantee of a physical constraint output layer and a safety threshold, and deep conjunction of system state reconstruction and a power physical law, the alternating current optimal power flow solving accuracy, reliability and generalization capability are comprehensively improved.

The invention discloses a method and system for converting PI type line parameters into distribution parameter line applicable parameters, and belongs to the technical field of electric power system electromagnetic transient modeling and simulation. The method comprises the following steps: acquiring an impedance parameter matrix ZL and an admittance parameter matrix YC of a three-item PI type distribution parameter line, and selecting voltage and current phase-mode transformation matrixes M and N adapted to the distribution parameter line; calculating a propagation constant matrix gamma and a characteristic impedance matrix ZC of the distribution parameter line; based on the propagation constant matrix gamma and the characteristic impedance matrix ZC, calculating a matrix Z and a matrix Y in the form of phase components of a distribution parameter line matrix, converting the phase components of the distribution parameter line into sequence components based on the matrix Z and the matrix Y, and obtaining applicable parameters of the distribution parameter line according to the sequence components. Parameters of a PI type line are converted into distribution parameter line parameters, and the line parameters do not need to be measured again.

The present application is suitable for the field of power electronics simulation technology, and provides a kind of on-line modification method of switch device admittance numerical value in real-time simulation modeling.The present application loads circuit topology by host computer, selects switch device needing dynamic switching admittance numerical value in the circuit model to be simulated;Admittance parameter list is preset in host computer interface, and circuit admittance matrix corresponding to multiple test conditions to be measured is calculated and generated;Multiple circuit admittance matrices are sent to real-time simulator FPGA as simulation data, and corresponding switching is carried out in real-time simulation running, and circuit solving is executed.Switching admittance numerical value can be modified on-line when simulating different test conditions to be measured, and simulation error introduced by switching equivalent parasitic parameters is reduced, so that switching admittance parameter setting optimization of different test conditions is realized.

The application relates to a power quality flexible compensation device port characteristic optimization method, device and equipment. The method comprises the following steps: synchronously collecting voltage parameters and current parameters of a power grid side and a load side, identifying a harmonic spectrum of a dynamic load, and calculating equivalent impedance or admittance parameters of a device port; calculating a harmonic distortion rate and a voltage fluctuation rate; taking port impedance matching degree, the harmonic distortion rate, the voltage fluctuation rate, power balance degree and system loss as optimization targets, taking capacity, response time and direct-current bus voltage stability maintenance as constraint conditions, constructing a multi-objective optimization model, and solving to obtain a port characteristic optimization method; and adjusting the equivalent impedance or admittance parameters of the device port in real time and setting control parameters. The method can make the port characteristics of the power quality flexible compensation device have dynamic adaptation capability and realize multi-objective adaptive optimization.