Please use this identifier to cite or link to this item:
Title: Active and reactive power scheduling optimization using firefly algorithm to improve voltage stability under load demand variation
Authors: Mohamad Zamani, M.K. 
Musirin, I. 
Hassan, H. 
Shaaya, S.A. 
Sulaiman, S.I. 
Ghani, N.A.M. 
Suliman, S.I. 
Issue Date: 2018
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. © 2018 Institute of Advanced Engineering and Science. All rights reserved.
DOI: 10.11591/ijeecs.v9.i2.pp365-372
Appears in Collections:CCI Scholarly Publication

Show full item record

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.