sis 18: e16

Research Article

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

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  • @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: Online First},
        volume={},
        number={},
        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
Sanjeev Kumar Bhagat1,*, Naladi Ram Babu1, Lalit Chandra Sakia1, Dhenuvakonda Koteswara Raju1
  • 1: National Institute of Technology Silchar, Assam, INDIA - 788010
*Contact email: sksanju1070@gmail.com

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.