Power System Voltage Stability Assessment through Artificial Neural Network

被引：20

作者：

Rahi, O. P. ^{[1
]}

Yadav, Amit Kr ^{[1
]}

Malik, Hasmat ^{[1
]}

Azeem, Abdul ^{[1
]}

Kr, Bhupesh ^{[1
]}

机构：

[1] Natl Inst Technol, Dept Elect Engn, Hamirpur 177005, India

来源：

INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY AND SYSTEM DESIGN 2011 | 2012年 / 30卷

关键词：

Voltage stability; Voltage Stability Index; Artificial Neural Network (ANN); Security Assessment; critical bus; Stability Index Prediction;

D O I：

10.1016/j.proeng.2012.01.833

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Voltage stability is concerned with the ability of a power system to maintain acceptable voltages at all buses in the system under normal conditions and after being subjected to a disturbance. This paper presents a new technique to determine the static voltage stability of load buses in a power system for a certain operating condition and hence identifies load buses which are close to voltage collapse. A voltage stability index with respect to a load bus is formulated from the voltage equation derived from a two bus network and it is computed using Thevenin equivalent circuit of the power system referred to a load bus.. Buses with values of voltage stability factors close to 1.0 are identified as the critical buses. And after that, an Artificial Neural Network is developed for voltage stability monitoring. In ANN applications, selection of input variables is an important aspect (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of ICCTSD 2011

引用

页码：53 / 60

页数：8

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