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Comparative Performance Analysis of PID Controller with Filter for Automatic Generation Control with Moth-Flame Optimization Algorithm

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Applications of Artificial Intelligence Techniques in Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 698))

Abstract

This paper introduces the comprehensive study of automatic generation control (AGC) system with proportional integral derivative controller with filter (PIDF). A nature-inspired optimization algorithm that is moth-flame optimization (MFO) algorithm is employed for controller gains concurrent optimization. First, a two-area non-reheat interconnected thermal power system is investigated and obtained superior performance with MFO-tuned PI controller as equated to recent competitive optimization techniques, but major improvement is investigated with PIDF controller. Then, the work is continued to a three-area interconnected hybrid system with proper generation rate constraint (GRC). PIDF controller can be implemented as secondary controller in the areas, whose performance is equated with conventional controllers. Result analysis divulges that MFO-tuned PIDF controller performs effective than all other controllers considered in this article. Robustness of the proposed technique is evaluated using sensitivity analysis.

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Authors and Affiliations

  1. Department of Electrical Engineering, Veer Surendra Sai University of Technology (VSSUT), Burla, 768018, Odisha, India

    B. V. S. Acharyulu, Banaja Mohanty & P. K. Hota

Authors
  1. B. V. S. Acharyulu
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  2. Banaja Mohanty
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  3. P. K. Hota
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Corresponding author

Correspondence to B. V. S. Acharyulu .

Editor information

Editors and Affiliations

  1. Department of Instrumentation and Control Engineering, Netaji Subhas Institute of Technology, New Delhi, Delhi, India

    Hasmat Malik

  2. Department of Instrumentation and Control Engineering, Netaji Subhas Institute of Technology, New Delhi, Delhi, India

    Smriti Srivastava

  3. National Institute of Technology, Puducherry, India

    Yog Raj Sood

  4. Perceiving Systems Department, Max Planck Institute for Intelligent Systems, Tübingen, Germany

    Aamir Ahmad

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Acharyulu, B.V.S., Mohanty, B., Hota, P.K. (2019). Comparative Performance Analysis of PID Controller with Filter for Automatic Generation Control with Moth-Flame Optimization Algorithm. In: Malik, H., Srivastava, S., Sood, Y., Ahmad, A. (eds) Applications of Artificial Intelligence Techniques in Engineering. Advances in Intelligent Systems and Computing, vol 698. Springer, Singapore. https://doi.org/10.1007/978-981-13-1819-1_48

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