9 results about "Quasi steady" patented technology

An electric-gas coupling system quasi-steady-state simulation method, device and computer readable medium based on branch compensation method. It relates to the improvement of the simulation method of the electric-gas coupling system. It is suitable for occasions with high real-time requirements and can realize fast approximate quasi-dynamic energy flow calculation. It includes the following steps: 1) in the natural gas system, the "circuit-like" method is used to model the natural gas pipeline in a steady state; 2) using the matrix inverse auxiliary theorem, the node pressure is calculated without considering the change of the gas resistance of each pipeline; 3) calculating the branch flow without considering the change of the gas resistance of each pipeline; 4) calculating the node gas pressure considering the change of the gas resistance of each pipeline. The present application extends the branch compensation method to the natural gas system and is suitable for comprehensive modeling, quasi-steady-state simulation and many other scenes of the electric-gas coupling system. When the branch connection condition changes locally, the node admittance matrix is not recalculated, but an approximate result in the new scene is given based on the original calculation result by using the correction method.

The application discloses a coupling method and device for an industrial-scale quasi-steady granular fluid multiphase system, equipment and a storage medium, relates to the technical field of computational fluid dynamics and particle discrete element coupling numerical simulation, and comprises the following steps: acquiring real particle information and cold-state simulation parameter information; inputting the real particle information into a predefined coarse-grained model to predict equivalent parameters of large particles after coarse-graining, and determining coarse-grained particle equivalent information; performing transient coupling simulation of a flow field state corresponding to particle motion and fluid change under the condition of ignoring heat transfer and chemical reaction based on the coarse-grained particle equivalent information and the cold-state simulation parameter information, and determining steady-state flow field simulation information; coupling and solving corresponding heat transfer and chemical reaction equations based on the steady-state flow field simulation information, and determining coupling result information; and controlling system operation regulation and control based on temperature field distribution information, component concentration distribution information and reaction conversion rate distribution information in the coupling result information.

The application discloses a kind of multi-source data fusion's distribution network fault accurate positioning method and system, comprising: obtaining quasi-steady state measurement data and dynamic synchronous phasor data, construct dynamic graph network model, quasi-steady state measurement data and dynamic synchronous phasor data are input dynamic graph network model and are handled, obtain the causal effect after deduction, construct dynamic weight self-adapting fusion model, quasi-steady state measurement data and dynamic synchronous phasor data are input dynamic weight self-adapting fusion model and are handled, obtain space-time convolution operator, obtain distribution network fault position based on the causal effect after deduction and space-time convolution operator.The application constructs dynamic graph network model and dynamic weight self-adapting fusion model, fuses quasi-steady state measurement data and dynamic synchronous phasor data, can more accurately capture the dynamic characteristics and fault propagation path of distribution network, improve the precision of fault location.

The invention discloses a power distribution network fault accurate positioning method and system based on multi-source data fusion, and the method comprises the steps: obtaining quasi-steady-state measurement data and dynamic synchronous phasor data, constructing a dynamic graph network model, inputting the quasi-steady-state measurement data and the dynamic synchronous phasor data into the dynamic graph network model for processing, and obtaining a deduced causal effect. And constructing a dynamic weight adaptive fusion model, inputting the quasi-steady-state measurement data and the dynamic synchronous phasor data into the dynamic weight adaptive fusion model for processing to obtain a space-time convolution operator, and obtaining the fault position of the power distribution network based on the derived causal effect and the space-time convolution operator. According to the method, the dynamic graph network model and the dynamic weight adaptive fusion model are constructed, the quasi-steady-state measurement data and the dynamic synchronous phasor data are fused, the dynamic characteristics and the fault propagation path of the power distribution network can be captured more accurately, and the fault positioning precision is improved.

The invention discloses an electricity-gas energy system day-ahead scheduling method based on a natural gas quasi-steady-state model. The method comprises the following steps: step 1, collecting predicted output data of an electric power system, a natural gas system and wind power; 2, building a deterministic model of the electricity-gas integrated energy system; constructing an objective function and constraint conditions of the electricity-gas integrated energy system, and performing piecewise linearization on nonlinear terms existing in the model; 3, a two-stage robust optimization model establishment stage; step 4, Camp is adopted; a CG algorithm solving stage; and through alternate iteration of the main problem and the sub-problems, identifying the worst scene, and adding different constraints into the main problem according to whether the target function of the sub-problems is infinitely classified, so that the upper and lower bounds are continuously close to each other, and finally a target gap is achieved, and a result is obtained.

The application discloses a kind of motor energy efficiency real-time monitoring systems based on sensor, it is related to motor monitoring technical field, in quasi-steady interval is analyzed, calculates comprehensive efficiency output energy efficiency evaluation dataset, combines temperature dataset, vibration characteristic dataset and harmonic current spectrum dataset analysis energy efficiency deviation source, output loss decomposition result, compare current operating parameter with the best efficiency point in baseline model dataset, output efficiency deviation degree dataset, the present application realizes the real-time perception of energy efficiency state by collecting multi-source data, establishes baseline model dataset and self-adapting update, can be automatically corrected with the aging of equipment and working condition change, carries out energy efficiency decomposition under quasi-steady condition, outputs copper loss, iron loss and mechanical loss result, realizes energy efficiency deviation explainability, completes abnormal attribution and credibility score in combination with multi-channel consistency analysis, reduces false alarm and improves diagnostic reliability, to realize the dynamic monitoring and intelligent optimization of motor energy efficiency.

The invention discloses an aero-engine performance optimization control method. The method comprises the following steps: when an aero-engine is in a quasi-steady state, optimizing the performance of the aero-engine by using a golden section optimization method based on interval self-adaption, after generating a search interval of an optimization variable in each iteration and selecting a corresponding test point from the search interval, firstly calculating the safety limit parameter of the aero-engine at the test point, and then calculating the safety limit parameter of the aero-engine at the test point; the method comprises the following steps of: selecting a search interval, determining whether overrun exists, if so, calculating an optimization variable value when an overrun safety limit parameter is just a safety limit value by using a correction model based on an airborne model, updating the boundary of the search interval by using the value, then selecting a new test point from the updated search interval, and repeating the process; otherwise, the search interval is shortened by comparing the target function values of the test points, and then the next iteration is carried out. The invention further discloses an aero-engine performance optimization control device. The method has better adaptability and real-time performance.

The invention discloses a motor energy efficiency real-time monitoring system based on a sensor, which relates to the technical field of motor monitoring, analyzes and calculates comprehensive efficiency in a quasi-steady-state interval, outputs an energy efficiency evaluation data set, analyzes an energy efficiency offset source in combination with a temperature data set, a vibration characteristic data set and a harmonic current spectrum data set, outputs a loss decomposition result, and obtains a real-time energy efficiency monitoring result. And comparing the current operation parameters with the optimal efficiency point in the baseline model data set, and outputting an efficiency deviation degree data set. According to the invention, multi-source data is collected, real-time perception of the energy efficiency state is realized, the baseline model data set is established and adaptively updated, automatic correction can be carried out along with equipment aging and working condition changes, and energy efficiency decomposition is carried out under a quasi-steady state condition; and outputting copper loss, iron loss and mechanical loss results, realizing interpretability of energy efficiency deviation, completing abnormal attribution and credibility scoring in combination with multi-channel consistency analysis, reducing false alarms and improving diagnosis reliability, thereby realizing dynamic monitoring and intelligent optimization of motor energy efficiency.

This invention relates to the field of energy consumption simulation technology, specifically to a method and system for simulating the energy consumption of unmanned equipment using hybrid power systems. It solves the technical problem in existing technologies where the quasi-steady-state model neglects mechanical response lag and dynamic coupling losses, leading to distorted energy consumption predictions during simulation. The method includes: acquiring the dynamic characteristics corresponding to the mechanical response lag state of the power system at the current simulation moment; the dynamic characteristics include the battery compensation power used to characterize the power gap and the compensation power change rate used to characterize the severity of the operating conditions; determining a generator efficiency reduction factor based on the compensation power change rate to characterize the proportion of efficiency reduction caused by the generator's magnetic field establishment lag; and correcting the baseline energy consumption data determined based on the steady-state characteristic spectrum according to the generator efficiency reduction factor, battery compensation power, and compensation power change rate, and outputting the corrected energy consumption simulation results.