9 results about "Power simulation" patented technology

The application discloses a kind of construction methods of power battery system power simulation model, belong to power battery simulation technical field, this method includes: selecting the three kinds of sample monomer battery with lowest, highest and mean value internal resistance;Equivalent circuit model corresponding to unit is constructed based on the characteristic parameters of sample monomer battery;Unit equivalent circuit model is expanded to the battery module equivalent circuit model for characterizing corresponding battery group, and battery module equivalent circuit model is connected in series to form system level equivalent circuit model;The basic parameters, quality and thermal management scheme of monomer battery are combined to construct the thermal management model corresponding to each battery module;System level equivalent circuit model, each thermal management model and pulse charge-discharge condition model are thermoelectric coupling, and power simulation model is obtained.The application is equivalent to modeling by representative sample, and the influence of battery consistency difference on system power is truly reflected, and the problem of large amount of calculation and insufficient precision of traditional modeling is solved.

This invention discloses a method, device, and medium for safety training in the power industry based on virtual reality, relating to the field of power simulation technology. The method includes: acquiring raw data of operational behavior, including timestamps, hand spatial trajectories, action triggering states, and power equipment numbers; generating action segment data based on the hand spatial trajectories and action triggering states, and constructing action chain data based on the timestamps and power equipment numbers; calculating and generating sequence deviation scores and path offset scores based on the action chain data and standard process data; generating evaluation score records based on the sequence deviation scores, path offset scores, and duration in the action segment data; and generating evaluation results containing step numbers, score values, and action offset markers based on the evaluation score records. This invention achieves automatic identification and deviation quantification evaluation of key action steps in power operation processes without the need for manual expert review or subjective scoring standards.

The application relates to the field of power simulation analysis, and relates to a knowledge representation method and a driving system based on power grid artificial intelligence simulation analysis.The application is used for solving the problems of difficult construction of a knowledge driving model and high artificial participation caused by difficult knowledge representation in the current power grid analysis method.The application comprises the following steps: defining a current state of a power grid and an operation needed for modifying the power grid; performing knowledge representation on power grid digital simulation analysis knowledge; the knowledge driving system based on the power grid artificial intelligence simulation analysis comprises the following modules: a feature recognition module: reading a power grid data file, judging whether the power grid data file meets a feature node expression in a knowledge graph; a state query and matching module: receiving a feature set to judge a current power grid state; an action query module: matching the power grid state and an action, and matching the action to form a state action set; and an action execution module: modifying parameters in the power grid data file.The application is used for knowledge representation and data modification of the power grid.

A power conversion device includes a power converter and a control device. The control device includes: a DC voltage control unit to generate an active power command value based on a DC voltage command value and a DC voltage of a power storage element; a power generator simulation unit to simulate characteristics of a synchronous power generator based on the active power command value and active power of a power system, to generate a first angular frequency; a feedforward control unit to perform feedforward computation on the active power command value, to generate a feedforward command value; a phase generation unit to generate a reference phase o of the power converter, based on the first angular frequency and the feedforward command value; and a signal generation unit to generate a control signal for the power converter, based on the reference phase and a reference voltage command value.

The application discloses a simulation modeling analysis system for multiple working conditions of a DC equipment in a converter station, and relates to the technical field of power simulation.The system comprises a fault scanning module, a model construction module and the like.The fault scanning module is used for performing short-circuit and grounding fault scanning in an AC / DC system electromechanical transient baseline project, and deploying a dynamic phasor traveling wave interface corridor on a boundary interconnection channel of a target object set to output a target object set configuration package.The model construction module is used for constructing a steady-state equivalent parameter model and a transient-state equivalent parameter model according to the target object set configuration package in an electromagnetic transient simulation project, and assembling the steady-state equivalent parameter model and the transient-state equivalent parameter model into a unified electromagnetic transient simulation project.The application can reduce the modeling range and configuration complexity of multiple working condition joint calculation by performing short-circuit and grounding fault scanning in the AC / DC system electromechanical transient baseline project through the fault scanning module and forming a target object set and a boundary interconnection marking table.

This invention discloses an asymmetric time-division multiplexing interleaved modulation method, apparatus, and related equipment, applied to power hardware-in-the-loop systems. The method includes: acquiring the reference current output of the converter under test (DUT) and collecting the total inductance current of the n-phase interleaved converter; the total inductance current is the sum of the inductance currents of all phases; for each of the n phases, determining the duty cycle of the switch below that phase based on the reference current, wherein the duty cycles of different phases are allowed to be different; based on the duty cycle of the switch below each phase, controlling the on / off state of the upper and lower switches of the corresponding phase half-bridge circuit, wherein within one switching cycle, the lower switches of the n-phase half-bridge circuit are controlled to conduct sequentially in turn, so that the total inductance current of the n-phase interleaved converter tracks the reference current. This enhances the control bandwidth and dynamic response capability of the power analog converter in the power hardware-in-the-loop system, improving the simulation accuracy and application range of the entire test platform.

This invention discloses a fault simulation calculation method and system for grid-connected wind turbine systems, relating to the field of power system fault simulation modeling. The grid-connected wind turbine includes the wind turbine generator body and a grid-connected inverter. Based on the control strategy of the grid-connected inverter, an active and reactive power simulation calculation model is established, followed by an equivalent model for faults in the grid-connected inverter. Based on the fault equivalent model, and according to the distribution network structure, a composite sequence network equivalent model is established under the fault conditions of the distribution network containing the grid-connected inverter. Based on the composite sequence network equivalent model, a set of loop equations composed of a generalized matrix is ​​obtained. The loop equations and the fault equivalent model of the grid-connected inverter are combined, and based on the output power and current characteristics of the grid-connected inverter, and the constraints of the power-voltage relationship, an iterative calculation method is used to solve for the fault quantities. This solves the problem that traditional fault analysis and calculation methods based on synchronous power supplies cannot adapt to grid-connected wind turbine scenarios.

The application discloses a power system load refinement analysis calculation method and device, equipment and medium, and relates to the field of power simulation analysis, which comprises the following steps: analyzing the partition record table of the regional load model of the power system to be calculated, and constructing a regional partition mapping; analyzing the model parameters of the regional load model, and constructing a regional parameter mapping based on the load type; screening and analyzing the node data of the node load model of the power system based on the timestamp, and integrating a partition attribute list and a partition node mapping; constructing a partition load model according to the regional partition mapping, the regional parameter mapping, the partition attribute list and the partition node mapping; and completing the analysis and calculation of the power system based on the partition load model. Through the implementation of the application, the technical problems of the insufficient accuracy and real-time performance of the existing regional-level load model simulation analysis can be solved.

The application discloses a kind of water power simulation systems and its application based on physical information neural network.It includes: obtaining target river terrain characteristics and hydrological boundary condition monitoring data, constructing space-time coordinate input data set, and implementing the geometric constraint pre-training of section hydraulic parameter;Water power simulation core model based on physical information neural network is constructed, and normalized space-time coordinates are mapped into water level and flow state variables;Saint-Venant equation set describing one-dimensional unsteady flow dynamics is used as physical priori knowledge, and its mass conservation equation and momentum conservation equation are used as residual form as soft constraint embedded model loss function, and network parameter training is carried out in combination with multi-objective collaborative optimization mechanism;Directly output high-precision water level and flow prediction results of any space-time position of target river.The application effectively suppresses the non-physical high-frequency oscillation generated by pure data-driven model in complex unsteady flow environment by combining physical mechanism constraint with deep learning, while maintaining high computing efficiency, significantly improves the physical consistency and generalization prediction ability of water power simulation.