Research Article
Maiden Application of Meta-Heuristic Techniques with Optimized Integral minus Tilt-Derivative Controller for AGC of Multi-area Multi-Source System
@ARTICLE{10.4108/eai.13-7-2018.164557, author={Sanjeev Kumar Bhagat and Naladi Ram Babu and Lalit Chandra Sakia and Dhenuvakonda Koteswara Raju}, title={Maiden Application of Meta-Heuristic Techniques with Optimized Integral minus Tilt-Derivative Controller for AGC of Multi-area Multi-Source System}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={7}, number={28}, publisher={EAI}, journal_a={SIS}, year={2020}, month={5}, keywords={automatic generation control, firefly algorithm, grass-hopper algorithm, grey-wolf optimization and sensitivity analysis}, doi={10.4108/eai.13-7-2018.164557} }- Sanjeev Kumar Bhagat
Naladi Ram Babu
Lalit Chandra Sakia
Dhenuvakonda Koteswara Raju
Year: 2020
Maiden Application of Meta-Heuristic Techniques with Optimized Integral minus Tilt-Derivative Controller for AGC of Multi-area Multi-Source System
SIS
EAI
DOI: 10.4108/eai.13-7-2018.164557
Abstract
This article presents a new meta-heuristic algorithm optimized secondary controller called Integral minus Tilt-Derivative (I-TD) for automatic generation control of three area multi-source system. Area-1 comprises of thermal and solar thermal units, area-2 comprises of two thermal units and area-3 comprises of thermal and wind systems. Comparison of system responses using proposed I-TD controller and some other commonly used controller revels better dynamics characteristics of the proposed one. Dynamic responses of the system corresponding to various meta heuristic optimization technique like firefly algorithm (FA), grey-wolf optimization (GWO), grass-hopper algorithm (GHA) explore that GHA provides slightly better dynamics than the other and also converges faster. Further, sensitivity analysis suggests that system dynamics with GHA optimized I-TD controller at various loading conditions are robust and are not reset again.
Copyright © 2020 Sanjeev Kumar Bhagat et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.