Modeling And Control Of Excitation And Governor Based On Particle Swarm Optimization For Micro Hydro Power Plant
Abstract: This paper presents
the modeling and control of the excitation system via the automatic voltage
regulator (AVR) and governor system through the automatic generation control
(AGC) or frequency load control (FLC) to improve stability on a micro hydro
power plant (MHPP). Three main parts of the generation system are synchronous
generator, AVR-excitation, AGC modelled linearly. Generator is modelled by a
single machine connected to infinite bus (SMIB) which is equipped by AVR and
excitation linear model. Excitation control system made by optimizing the gain
of the AVR (KA) and the governor with the gain of the AGC (Ki). Optimization is
done using the method improved particle swarm optimization (IPSO). The main
purpose of setting the gain of the AVR-AGC is to stabilize the oscillation
frequency of the MHPP which is connected to an infinite bus. Simulations are
conducted by inputting step function with 5% load fluctuations as a
representation of dynamic load. The simulation results show that the proposed
method effectively raises the level of
electromechanical damping oscillations the SMIB by generating the comprehensive
damping index (CDI) is minimum.
Author: Muhamad Haddin, Soebagio,
Adi Soeprijanto, Mauridhi Hery Purnomo
Journal Code: jptkomputergg130051
