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首页> 外文期刊>International Journal of Applied Engineering Research >An Approach of Transient Stability Analysis for Multimachine Based on Artificial Neural Network
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An Approach of Transient Stability Analysis for Multimachine Based on Artificial Neural Network

机译:基于人工神经网络的多机械瞬态稳定性分析方法

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The present work uses MATLAB Program to reenact the outcomes of best techniques for transient reliability examination, for instance, arrange strategy RAte of Change of Kinetic Energy (RACKE) and Step By Step (SBS) of underhanded strategy since it has more precision than each other strategy. The results of MATLAB Program is utilized to prepare Probabilistic Neural Network (PNN) method, this training data represented the rotor angle of each machine in power system verses time during 1 sec.(period time of fault), after training is finished, ANN ready to get results which concurred with the MATLAB program results. One of the speedy and accurate method of ANN, for example, Probabilistic Neural Network (PNN) was utilized to arrange the conduct of the power system relying upon its stability into (stable or unstable), the results of this simulation, clarify that ANN is proficient to dissect transient stability of power system and doing classification.
机译:目前的工作使用MATLAB计划重新创新瞬态可靠性检查的最佳技术结果,例如,安排动能(Racke)的策略变化率和逐步(SBS),因为它具有比彼此更精确的精度 战略。 MATLAB程序的结果用于准备概率神经网络(PNN)方法,该训练数据表示在1秒内电力系统的每个机器中的每台机器的转子角度。(故障时段的暂停时间),培训完成后,ANN准备 获取与MATLAB计划结果同意的结果。 ANN的快速和准确方法之一,例如,概率的神经网络(PNN)被利用来安排依赖于其稳定性进入(稳定或不稳定)的动力系统的传导,这一模拟的结果,阐明了ANN是 精通解剖电力系统的瞬态稳定性并进行分类。

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