Optimal design of fuzzy-AGC based on PSO & RCGA to improve dynamic stability of interconnected multi area power systems

Quickly getting back the synchronism of a disturbed interconnected multi area power system due to variations in loading condition is recognized as prominent issue related to automatic generation control (AGC). In this regard, AGC system based on fuzzy logic, i.e., so-called FLAGC can introduce an ef...

Full description

Saved in:
Bibliographic Details
Published in:International journal of automation and computing 2020-08, Vol.17 (4), p.599-609
Main Author: Falehi, Ali Darvish
Format: Article
Language:English
Subjects:
Automatic control
CAE) and Design
Computer Applications
Computer simulation
Computer-Aided Engineering (CAD
Control
Dynamic stability
Engineering
Fuzzy logic
Genetic algorithms
Mechatronics
Oscillations
Particle swarm optimization
Perturbation
Research Article
Robotics
Synchronism
Thermoelectricity
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Quickly getting back the synchronism of a disturbed interconnected multi area power system due to variations in loading condition is recognized as prominent issue related to automatic generation control (AGC). In this regard, AGC system based on fuzzy logic, i.e., so-called FLAGC can introduce an effectual performance to suppress the dynamic oscillations of tie-line power exchanges and frequency in multi-area interconnected power system. Apart from that, simultaneous coordination scheme based on particle swarm optimization (PSO) along with real coded genetic algorithm (RCGA) is suggested to coordinate FLAGCs of the all areas. To clarify the high efficiency of aforementioned strategy, two different interconnected multi area power systems, i.e., three-area hydro-thermal power system and five-area thermal power system have been taken into account for relevant studies. The potency of this strategy has been thoroughly dealt with by considering the step load perturbation (SLP) in both the under study power systems. To sum up, the simulation results have plainly revealed dynamic performance of FLAGC as compared with conventional AGC (CAGC) in each power system in order to damp out the power system oscillations.
ISSN:1476-8186
1751-8520
DOI:10.1007/s11633-017-1064-0