Fast correction of voltage unbalance factor in three-phase power system using neural network

Jasim A. Ghaeb, Dana M. Ragab, Ibrahim Al-Naimi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

The voltage unbalance at the load terminal of three-phase electric power system is discussed. The aim of this work is to solve the problem of voltage unbalance accurately and quickly by using the Neural Network Control (NNC). In this paper, the Aqaba-Qatrana-South Amman (AQSA) power system is considered and modelled as a real case study. The three RMS-Load Voltages (3RMSLV) and the Voltage Unbalance Factor (VUF) for different unbalance conditions are collected. In addition, the corresponding firing angles (FATCR) required to drive the Thyristor-Controlled-Reactor (TCR) compensator for balanced condition are determined. These data are used to train, validate, and test the NNC. The NNC training depends on the fact that each unbalance condition has its own 3RMSLV and VUF and needs a unique set of FATCR for getting back the balance condition. Several test cases were discussed to validate the capability of the proposed method in solving the voltage unbalance problem.

Original languageEnglish
Title of host publication11th International Symposium on Mechatronics and its Applications, ISMA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-3
Number of pages3
ISBN (Electronic)9781538610787
DOIs
Publication statusPublished - Apr 2 2018
Externally publishedYes
Event11th International Symposium on Mechatronics and its Applications, ISMA 2018 - Sharjah, United Arab Emirates
Duration: Mar 4 2018Mar 6 2018

Publication series

Name11th International Symposium on Mechatronics and its Applications, ISMA 2018
Volume2018-January

Other

Other11th International Symposium on Mechatronics and its Applications, ISMA 2018
Country/TerritoryUnited Arab Emirates
CitySharjah
Period3/4/183/6/18

Keywords

  • Neutral net-work
  • Power quality
  • Reactive compensation
  • TCR

ASJC Scopus subject areas

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Mechanical Engineering

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