Voltage Stability Prediction In Power Systems Using Modified Artificial Neural Network

被引：0
|
作者：
Abdullah, A. M. [1 ]
Ali, R. [1 ]
Yaacob, S. B. [1 ]
Mansur, T. M. N. T. [1 ]
Baharudin, N. H. [1 ]
机构：
[1] Univ Malaysia Perlis, Fac Elect Engn Technol, Perlis, Malaysia
来源：
2022 SECOND INTERNATIONAL CONFERENCE ON ADVANCES IN ELECTRICAL, COMPUTING, COMMUNICATION AND SUSTAINABLE TECHNOLOGIES (ICAECT) | 2022年
关键词：
Neural Network; Voltage Stability; Power System; Introduction (Heading 1);
D O I：
10.1109/ICAECT54875.2022.9807943
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents the indicator system status in the distribution network by using the technique voltage stability index with the artificial neural network to predict the power system. Voltage stability is an indicator from value index zero (0) until one (1). The value index zero is no loading in the system bus, where else one is maximum loading in system buses. IEEE 30 bus practical system was used to test and indicator to predict the power system. Using MATLAB to program and develop Artificial Neural Networks (ANN) in distribution networks. The voltage stability indicator was trained by application ANN to predict each bus system's load status. Therefore, the voltage instability will be early to be known by using the prediction ANN. The information stability index is very important in the power system because it helps to solve the major problems in the distribution system power system.
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页数：6
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