高分求翻译

2025-03-06 09:25:33

推荐回答（4个）

回答1：

电网electric network
电力系统Power System
暂态稳定仿真Transient Stability Simulation
暂态稳定Transient Stability
神经网络Neural network
信息融合information amalgamation
人工神经网络Artifical Neural Network
3机系统模型tri-generator model
特征量Characteristics
Currently, the transient stability problem in power system is one of the main problems to solve for keeping electric network stability, and there are mainly two analysis methods of the transient stability of current electric network: "time domain simulation method" and "direct method"，to some extent, they both have drawbacks. In this paper, the author introduced a method named "Artifical Neural Network (ANN)information amalgamation"，and applied it in estimation of transient stability in power system.

Firsly, the author discussed the characters of the technology of information amalgamation, reviewed the traditional transient stability estimation and its advantages and disadvantages，put forward an estimation model of the transient stability in power system based on ANN.
Then, the author constructed a tri-generator model with MATLAB software, and ran the transient stability simulation in order to gain the sample for information amalgamation analysis as follows.
Finally, the author constructed ANN with Neural Network Toolbox in MATLAB simulation software. Under given network cases, it can construct information amalgamation model and get the results of information amalgamation for analysis of transient stability, and also can compare the results got by this method with that of traditional methods (such as time domain simulation method).

Keywords: Characteristics Information amalgamation, Artifical neural network, Transient stability analysis of power system

回答2：

At present, the electricity system is one of the main problems that must be resolved to maintain grid stability Zantai stability.Now the analysis methods for power system on transient stability are Time Domain Simulation method and Direct Method, but both of them have different disfigurements in level. The article brings forward a method of using ANN,and applies it to the electricity system of transient stability assessment.

First, this article discusses the integration of information technology characteristics. Recalling the traditional transient stability assessment methods and their advantages and disadvantages, based on a proposed artificial ANN models to assess the stability of the electricity system transient.
Second, using a three - MATLAB erection system models and simulation Zantai stability to the integration of information from the analysis of the samples behind.
Finally,uses MATLAB simulation software Neural Network Toolbox to build artificial neural network. In a given network situation, to establish information integration models, and eventually be integrated with information Zantai stability analysis of the results, and integration of information and the results of traditional methods (such as the 24-hour simulation France), supported by the results of comparative analysis.

Key words:characteristic quantity,information amalgamation
,artificial neural network, analysis method of the electricity system transient

回答3：

At present, the electric power system temporary the stability problem is keep the charged barbed wire net stability to solve of one of the key problem.Currently the electric power system temporary stable analytical method of mainly sometimes the area imitates the true method( the Time Domain Simulation method) blemish of the different from direct approach( the Direct Method), but all have degree.This text put forward a kind of method that makes use of the nerve network( ANN) information fusion, and is applied it in the electric power system temporary the stabilizes the valuation.
First, this text discusses the information to blend the technical characteristics.Look back traditional temporary the stability valuation method and its merit and shortcoming, put forward a kind of according to the artificial nerve network( ANN) of electric power system is temporary the stability valuation model.
Then, build one 3 machine system models of with the MATLAB, and carry on temporary the stability really imitate, to get the behind to carry on the analytical sample of the information fusion.
End, make use of the MATLAB to imitate the Neural Network Toolbox tool box establishment artificial nerve network within true software.Under the condition of the network that give and settle, can build up the information fusion model, end get temporary the stable analytical information of blends the processed result, and the result and traditional methods that the information blend

回答4：

哈哈应该对的

At present, the electricity system is to maintain grid stability Zantai stability one of the main problems that must be resolved. Zantai current power system stability analysis methods are sometimes the main domain simulation Act (Xinhua Domain Simulation method) and direct law (Direct Method), but have different degrees of error. The proposed use of a neural network (Ann) Information integration methods and their application to the electricity system Zantai stability assessment. First, this article discusses the integration of information technology characteristics. Recalling the traditional Zantai stability assessment methods and their advantages and disadvantages, based on a proposed artificial neural network (Ann) models to assess the stability of the electricity system Zantai. Then, using a three - MATLAB erection system models and simulation Zantai stability to the integration of information from the analysis of the samples behind. Finally, the use of MATLAB simulation software Neural Network Toolbox artificial neural network building tool. In a given network situation, to establish information integration models, and eventually be integrated with information Zantai stability analysis of the results, and integration of information and the results of traditional methods (such as the 24-hour simulation France), supported by the results of comparative analysis.

[keywords] : features volume; Information integration; Artificial neural network; Power system stability analysis Zantai

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