Jurnal Sistim Informasi dan Teknologi
2022, Vol. 4, No. 4

Prediksi Voltage Stability Index (VSI) Metode Artificial Neural Network (ANN) untuk Mendeteksi Tegangan Jatuh

Dimas Fajar Uman Putra (Institut Teknologi Sepuluh Nopember, Surabaya)
Aji Akbar Firdaus (Universitas Airlangga)
Novian Uman Putra (Institut Teknologi Adhi Tama Surabaya, Surabaya)
Ontoseno Penangsang (Institut Teknologi Sepuluh Nopember, Surabaya)

Article Info

Publish Date
29 Nov 2022

Abstract

Voltage stability analysis is needed in the planning or operation of electric power systems. This will have an impact on decreasing the system voltage and result in a voltage collapse and will be fatal resulting in a partial or total system blackout. If there is a change in load on a line, it can cause a decrease in the voltage profile. Predicting the value of additional load on a bus based on a voltage stability analysis can be done to detect the occurrence of a voltage drop. There are various methods for analyzing voltage stability, one of which is the point of voltage instability which can be determined using the Fast Voltage Stability Index (FVSI) method. Artificial Neural Network (ANN) is chosen in this problem to predict the value of the additional load.

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Journal Info
Jurnal Sistim Informasi dan Teknologi
Website

Abbrev

JSisfotek

Publisher

Asia Pacific Network for Sustainable Agriculture, Food and Energy

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

The Jurnal Sistim Informasi dan Teknologi (JSISFOTEK) aims to publish manuscripts that explore information systems and technology research and thus develop computer information systems globally. We encourage manuscripts that cover the following topic areas: - Analytics, Business Intelligence, and ...