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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  • 2 Citations

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.

LanguageEnglish
Pages365-372
Number of pages8
JournalIndonesian Journal of Electrical Engineering and Computer Science
Volume9
Issue number2
DOIs
Publication statusPublished - Feb 1 2018

Fingerprint

Voltage Stability
Reactive power
Voltage control
Scheduling
Optimization
Stability Index
Generator
Voltage
Electric potential
Test System
Increment
Engine
Objective function
Flexibility
Demand
Engines
Line

All Science Journal Classification (ASJC) codes

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

Cite this

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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.",
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AU - Mohamad Zamani, Mohamad Khairuzzaman

AU - Musirin, Ismail

AU - Hassan, Halim

AU - Shaaya, Sharifah Azwa

AU - Sulaiman, Shahril Irwan

AU - Ghani, Nor Azura Md

AU - Suliman, Saiful Izwan

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