2013 UKSim 15th International Conference on Computer Modelling and Simulation 2013
DOI: 10.1109/uksim.2013.38
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Particle Swarm Optimization and Gradient Descent Methods for Optimization of PI Controller for AGC of Multi-area Thermal-Wind-Hydro Power Plants

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Cited by 18 publications
(8 citation statements)
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“…Kumari and Jha (2013) have investigated automatic generation controller for multi-area thermal-wind-hydro power plants with PI controller. Proportional gain, integral gain, speed regulation parameter and frequency bias parameter have been optimized with PSO and gradient decent optimization (GDO) methods.…”
Section: Lfc Including Wppsmentioning
confidence: 99%
“…Kumari and Jha (2013) have investigated automatic generation controller for multi-area thermal-wind-hydro power plants with PI controller. Proportional gain, integral gain, speed regulation parameter and frequency bias parameter have been optimized with PSO and gradient decent optimization (GDO) methods.…”
Section: Lfc Including Wppsmentioning
confidence: 99%
“…The transfer function model of the multi-area power system is shown in Figure 1. The nominal parameters of thermal and hydro power system parameters are taken from [5,10] and the wind power system parameters are taken from [3,14]. The thermal power system is equipped with an appropriate governor unit, single stage reheat unit and speed regulator components.…”
Section: System Modelingmentioning
confidence: 99%
“…The proper selection of natural frequency n  and damping factor  gives the second order dynamics of WECS [3,14]. Two poles and one zero transfer function of the WECS are given by: Science and Applications, Vol.…”
Section: B Wind Power Systemmentioning
confidence: 99%
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