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Genetic algorithm tuned optimal variable structure system controller for enhanced load frequency control

Publication Type : Journal Article

Publisher : International Review of Electrical Engineering

Source : International Review of Electrical Engineering, Volume 7, Number 2, p.4105-4112 (2012)

Url : http://www.scopus.com/inward/record.url?eid=2-s2.0-84864347389&partnerID=40&md5=47f66760a600db36dbfb1ce9c20c247a

Campus : Coimbatore

School : School of Engineering

Department : Electrical and Electronics

Verified : Yes

Year : 2012

Abstract : In this paper, the Load Frequency Control (LFC) is enhanced with optimal gains of the Variable Structure System (VSS) Controller tuned using Genetic Algorithm (GA). For analysis, two-area thermal and hydrothermal power plants are considered in this paper. Conventionally, Proportional Integral Derivative (PID) controller is used to control frequency and tie-line power deviations. To improve the PID control action during transient and steady state period, the PID controller is replaced by VSS Controller. The gains of the controllers are tuned using Zeigler Nichols' (ZN) and further with GA optimization technique. The performance of the controller is judged using Integral Time Absolute Error (ITAE) method. On analysis, it is observed that frequency and tie-line power deviations are improved using GA tuned VSS controller. © 2012 Praise Worthy Prize S.r.l. - All right reserved.

Cite this Research Publication : Vijaya Chandrakala, K.R.M., Balamurugan, S. and Sankaranarayanan, K. “Genetic algorithm tuned optimal variable structure system controller for enhanced load frequency control”, International Review of Electrical Engineering, Vol.7, No.2, pp.4105-4112, 2012.

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