人工神经网络在中型电力系统安全评估中的应用

2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries. Proceedings. MeleCon 2000 (Cat. No.00CH37099) Pub Date : 2000-05-29 DOI:10.1109/MELCON.2000.879748

E. Karapidakis, N. Hatziargyriou

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引用次数: 6

摘要

孤立电力系统面临着与运行和控制相关的特殊问题。其中一些最重要的问题与系统的动态稳定性有关。因此，显然需要一个快速动态安全评估(DSA)功能，以提高系统的运行。本文将多层感知器(MLP)结构的人工神经网络应用于在线数据分析。结果表明，该方法在DSA中具有更好的性能。该技术在克里特岛电力系统上的应用表明，在预先规定的意外情况下，可以提供在线最大频率偏差和最大频率变化率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Application of artificial neural networks for security assessment of medium size power systems

Isolated electrical power systems face specific problems related to their operation and control. Some of the most important ones are related to the system dynamic stability. It is therefore apparent the need for a fast dynamic security assessment (DSA) function, in order to improve system operation. In this paper ANNs of multilayer perceptron (MLP) architecture are applied for online DSA. It is shown that is proposed for better performance in DSA. The application of this technique on the power system of Crete is shown to provide online maximum frequency deviations and maximum frequency change rates in case of pre-specified contingencies.

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来源期刊

2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries. Proceedings. MeleCon 2000 (Cat. No.00CH37099)

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