Publication Type : Journal Article
Publisher : International Journal of Control Theory and Applications.
Source : International Journal of Control Theory and Applications , vol. 9, no. 16, pp. 8245- 8255, 2016.
Campus : Coimbatore
School : School of Engineering
Department : Electrical and Electronics
Year : 2016
Abstract : The gap between supply and demand in electrical power system is a serious problem faced by developing nations thriving towards economic supremacy. Alternative sources other than conventional non-renewables and distributed generation using renewable sources were looked into for overcoming energy crisis. With the advent of heavy duty gas turbine plants using biomass fuel in the distributed generation, it is impeccable to develop a suitable controller for the gas turbine plants operating in standalone and interconnected modes. Suitable large signal and small signal models for the gas turbine plants were considered and the secondary proportional + Integral (PI) controllers are tuned for the models using Ziegler Nichol's (ZN), Genetic algorithm (GA) and Particle Swarm Optimization (PSO) techniques. From transient and steady state analysis of the system it is found that PSO technique had provided optimal controller tuning for small and large signal models of gas turbine plants.
Cite this Research Publication : S. Selva Kumar, Vignesh Venkiteswaran, and R. Udhayaraj, “Development of Optimal Controller for Large Signal and Small Signal Model of Gas Turbine Plant using Particle Swarm Optimisation”, International Journal of Control Theory and Applications , vol. 9, no. 16, pp. 8245- 8255, 2016.