Maiden Application of Meta-Heuristic Techniques with Optimized Integral minus Tilt-Derivative Controller for AGC of Multi-area Multi-Source System

Authors

DOI:

https://doi.org/10.4108/eai.13-7-2018.164557

Keywords:

automatic generation control, firefly algorithm, grass-hopper algorithm, grey-wolf optimization, sensitivity analysis

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.

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Published

14-05-2020

How to Cite

1.
Bhagat SK, Ram Babu N, Chandra Sakia L, Koteswara Raju D. Maiden Application of Meta-Heuristic Techniques with Optimized Integral minus Tilt-Derivative Controller for AGC of Multi-area Multi-Source System. EAI Endorsed Scal Inf Syst [Internet]. 2020 May 14 [cited 2024 Dec. 4];7(28):e5. Available from: https://publications.eai.eu/index.php/sis/article/view/2096