Open AccessAdaptive fuzzy critic based control design for AGC of power system connected via AC/DC tie‐lines
Author(s) -
Sharma Gulshan,
Niazi Khaleequr Rehman,
Bansal Ramesh C.
Publication year - 2017
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2016.1164
Subject(s) - automatic generation control , control theory (sociology) , fuzzy logic , fuzzy control system , control engineering , electric power system , adaptive control , computer science , control system , governor , engineering , power (physics) , control (management) , artificial intelligence , physics , quantum mechanics , electrical engineering , aerospace engineering
This study presents the design of adaptive fuzzy critic based emotional learning control design for automatic generation control (AGC) of a two‐area power system interconnected via parallel AC/DC tie‐lines. The adaptive fuzzy critic evaluates the current system situation and provides the emotional signal so that the artificial neuro fuzzy regulator to modify its characteristic and reduce the critic stress. The adaptive fuzzy critic based emotional learning control design are implemented and the system dynamic responses are obtained considering 1% load disturbance in area‐1. A comparative study of performance of proposed control, fuzzy logic and conventional integral based control is carried out and presented with and without considering the system non‐linearities such as governor dead‐band and generation rate constraint. The proposed control design technique has been demonstrated as a superior one as compared with other techniques used for the AGC design in the study. Furthermore, the sensitivity analysis of the proposed control is also examined by varying the system parameters over the wide range from the nominal system values.