Voltage Instability Analysis Based On Modal Analysis Technique And Artificial Neural Network

Mohamad Nor, Ahmad Fateh and Sulaiman, Marizan (2019) Voltage Instability Analysis Based On Modal Analysis Technique And Artificial Neural Network. Indonesian Journal Of Electrical Engineering And Computer Science, 13 (3). pp. 1274-1279. ISSN 2502-4752

[img] Text
marizan_94.pdf - Published Version
Restricted to Registered users only

Download (561kB)


One of the paramount importance in the operation of electrical power system operation order to sustain the equilibrium of the system is the stability of the load buses’ voltages. If the load buses voltages are not stable, this can cause serious problem especially power system blackout. This paper presents the analysis of voltage instability in electric power system by using modal analysis technique. However, one of the challenges of modal analysis is the intencive and complex calculation procedures. In order to overcome that, this paper implements Artificial Neural Network (ANN) to improve the implementation of modal analysis technique. ANN is used to determine the participation factors obtained from the modal analysis technique. The results show that modal analysis technique is able to show which bus is close towards experiencing voltage instability. In addition, the results also show that ANN is able to predict the values of participation factors. A load bus is considered a weak bus if the bus has high tendency towards experiencing voltage instability. IEEE-14 bus test power system has been chosen as the test power system.

Item Type: Article
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Electrical Engineering
Depositing User: Mohd Hannif Jamaludin
Date Deposited: 05 Mar 2020 12:14
Last Modified: 05 Mar 2020 12:14
URI: http://eprints.utem.edu.my/id/eprint/24050
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item