Publication Type:

Journal Article

Source:

Australian Journal of Basic and Applied Sciences, Volume 10, Issue 5, p.137-143 (2016)

URL:

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2792727

Abstract:

It is necessary to operate the power system in interconnected mode with the development of renewable and non-renewable energy sources and increase in load demand. Bio fueled gas turbine plants as a form of renewable source can be operated along with other sources of generation but have to be properly connected and controlled to provide better performance when sharing a common load. This paper deals with load frequency control of single area multi source system consisting of hydro, thermal and gas turbine. When subjected to load change, the speed governor helps in controlling the frequency to its nominal value but secondary controller is required for fine tuning of frequency. Proportional integral (PI) controller is used in this work. Ziegler Nichols’ (ZN), Genetic Algorithm (GA) and Fuzzy Gain Scheduling (FGS) methods have been used for optimal tuning of secondary controller. FGS tuned secondary controller found to yield better performance.

Cite this Research Publication

S. Selva Kumar, R. Xavier, J., and Dr. Balamurugan S., “Fuzzy Gain Scheduling for Load Frequency Control of Single Area Multi Source Hydro Thermal Gs Turbine System”, Australian Journal of Basic and Applied Sciences, vol. 10, no. 5, pp. 137-143, 2016.

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