DocumentCode :
238295
Title :
IVR controllers in hybrid interconnected power generation systems
Author :
Ashe, AvijitKumar ; Nayak, Aditya Pinaki ; Patra, Bishnu Prasad ; Bairishal, Soumya
Author_Institution :
IIIT Bangalore, Bangalore, India
fYear :
2014
fDate :
8-10 May 2014
Firstpage :
33
Lastpage :
37
Abstract :
In this paper, we describe the various traditional and recently proposed intelligent methods for automatic voltage regulation (AVR) of a power generation unit. We vouch for using artificially intelligent paradigms and thus call it IVR (Intelligent Voltage Regulation). This system is generally deployed in hybrid and interconnected power generation systems. Traditionally PID controllers were used with controller parameter values decided manually and intuitively, which became non-practical as power grids started to interconnect. Then, soft-computing methods for building intelligent controllers based on fuzzy-logic were proposed. These then were integrated with swarm based optimization methods like PSO. A comparison among some of these alternatives is the main objective behind this research.
Keywords :
fuzzy logic; intelligent control; particle swarm optimisation; power generation control; power grids; power system interconnection; three-term control; voltage control; AVR; IVR controllers; PID controllers; PSO; artificially intelligent paradigms; automatic voltage regulation; controller parameter values; fuzzy-logic; hybrid interconnected power generation systems; intelligent controllers; intelligent voltage regulation; power generation unit; power grids; soft-computing methods; swarm based optimization methods; Control systems; Fuzzy logic; Load modeling; Mathematical model; Particle swarm optimization; Transfer functions; Voltage control; AVR; FLC; PI Controller; PSO;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on
Conference_Location :
Ramanathapuram
Print_ISBN :
978-1-4799-3913-8
Type :
conf
DOI :
10.1109/ICACCCT.2014.7019462
Filename :
7019462
Link To Document :
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