Active and reactive power scheduling optimization using firefly algorithm to improve voltage stability under load demand variation

Mohamad Khairuzzaman Mohamad Zamani, Ismail Musirin, Halim Hassan, Sharifah Azwa Shaaya, Shahril Irwan Sulaiman, Nor Azura Md Ghani, Saiful Izwan Suliman

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6 Citations (Scopus)

Abstract

This paper presents active and reactive power scheduling using firefly algorithm (FA) to improve voltage stability under load demand variation. The study involves the development of firefly optimization engine for power scheduling process involving the active and reactive power for wind generator. The scheduling optimization of wind generator is tested by using IEEE 30-Bus Reliability Test System (RTS). Voltage stability of the system is assessed based in a pre-developed voltage stability indicator termed as fast voltage stability index (FVSI). This study also considers the effects on the loss and voltage profile of the system resulted from the optimization, where the FVSI value at the observed line, minimum voltage of the system and loss were monitored during the load increment. Results obtained from the study are convincing in addressing the scheduling of power in wind generator. Implementation of FA approach to solve power scheduling revealed its flexibility and feasible for solving larger system within different objective functions.

Original languageEnglish
Pages (from-to)365-372
Number of pages8
JournalIndonesian Journal of Electrical Engineering and Computer Science
Volume9
Issue number2
DOIs
Publication statusPublished - Feb 2018

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All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications
  • Control and Optimization
  • Electrical and Electronic Engineering

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