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Performance analysis of automatic generation control of interconnected power systems with delayed mode operation of area control error
Author(s) -
Nanda Janardan,
Sharma Dushyant,
Mishra Sukumar
Publication year - 2015
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2015.0044
Subject(s) - control theory (sociology) , automatic generation control , controller (irrigation) , governor , computer science , particle swarm optimization , electric power system , mode (computer interface) , perturbation (astronomy) , power (physics) , control engineering , control (management) , engineering , physics , quantum mechanics , artificial intelligence , machine learning , agronomy , biology , aerospace engineering , operating system
This study presents automatic generation control (AGC) of interconnected power systems comprising of two thermal and one hydro area having integral controllers. Emphasis is given to a delay in the area control error for the actuation of the supplementary controller and to examine its impact on the dynamic response against no delay which is usually the practice. Analysis is based on 50% loading condition in all the areas. The system performance is examined considering 1% step load perturbation. Results reveal that delayed mode operation provides a better system dynamic performance compared with that obtained without delay and has several distinct merits for the governor. The delay is linked with reduction in wear and tear of the secondary controller and hence increases the life of the governor. The controller gains are optimised by particle swarm optimisation. The performance of delayed mode operation of AGC at other loading conditions is also analysed. An attempt has also been made to find the impact of weights for different components in a cost function used to optimise the controller gains. A modified cost function having different weights for different components when used for controller gain optimisation improves the system performance.

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