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Genetic Algorithm Tuned Load Frequency Control of Multi Source Multi Area Hydro Thermal Gas Turbine System

Publication Type : Journal Article

Publisher : International Journal of Applied Engineering Research

Source : International Journal of Applied Engineering Research, Volume 10, Issue 55, p.3193-3197 (2015)

Url : http://www.scopus.com/record/display.url?eid=2-s2.0-84942318406&origin=resultslist&sort=plf-f&src=s&st1=Amrita+vishwa+vidyapeetham

Campus : Coimbatore

School : School of Engineering

Department : Electrical and Electronics

Year : 2015

Abstract : Multi source systems involve combined operation of two or more generating units with renewable or non-renewable sources. Multi area system is the integrated operation of different groups of multisource units sharing local electric loads between them. These systems will be the future of power systems extended to remote consumers for grid connected operation and control. A gas turbine plant operated with bio mass fuel will be one such renewable source that can be interconnected to other sources like hydro and thermal for sharing a common load. This paper deals with the load frequency control of these multisource multi area systems operating under tie-line bias control strategy. A set of suitable secondary controllers are tuned for the better performance. It compares the performance of classic Ziegler Nichols (ZN) tuned controller with the Genetic Algorithm (GA) tuned secondary controller. GA provides a better controller for the interconnected operation of the thermal, hydro and gas turbine plants. © Research India Publications.

Cite this Research Publication : S. Selva Kumar, Dr. Balamurugan S., and Joseph Xavier R, “Genetic Algorithm Tuned Load Frequency Control of Multi Source Multi Area Hydro Thermal Gas Turbine System”, International Journal of Applied Engineering Research, vol. 10, no. 55, pp. 3193-3197, 2015.

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