GAIN COORDINATION OF AVR-PSS AND AGC BASED ON PARTICLE SWARM OPTIMIZATION TO IMPROVE THE DYNAMIC STABILITY OF THE POWER SYSTEM

view full text

This paper presents the coordination axis of the automatic voltage regulation (AVR)-power system stabilizer

(PSS) and automatic generation control (AGC) on synchronous generator to improve the dynamic stability of the

power system. The critical mode damping value is analyzed by finding the minimum value of damping

comprehensive index (CDI) which is used as fitness function of particle in the process of optimization using particle

swarm optimization (PSO). Four main parts of the generation system are synchronous generator, AVR/excitation,

AGC and PSS modelled linearly. Generator is modelled by a single machine connected to infinite bus (SMIB) which

is equipped by AVR and excitation linear model. PSS is modelled as a lead-lag component and AGC as well as the

turbine governor is modelled as a linear first order with constant speed drop. Simulations are conducted by

inputting step function with 5% load fluctuations as a representation of dynamic load. The simulation results show

that the coordination of the proposed method effectively minimizes the oscillation speed of rotor, rotor angle and

terminal voltage as showed by the damping, convergence time, over-shoot and the minimum error to reach steady

state

Kategori : Jurnal Internasional
Nama Jurnal : INTERNATIONAL JOURNAL Of ACADEMIC RESEARCH
ISSN : 2075-4124
Volume : 3
Nomor : 3
Halaman : 462 s/d 470
Tahun : 2011
Peneliti : Muhamad Haddin,, Soebagio, Adi Soeprijanto, Mauridhi Heri Purnomo
Diunggah Tanggal : Minggu, 2020-05-10