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Fuzzy PID Controller for Automatic Generation Control of Interconnected Power System Tuned by Glow-Worm Swarm Optimization

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Applications of Robotics in Industry Using Advanced Mechanisms (ARIAM 2019)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 5))

Abstract

In this article Fuzzy-Proportional Integral Derivative controller (Fuzzy-PID) is proposed for Automatic Generation Control (AGC) problem of multi area thermal hydropower system. At the outset, a two area hydro thermal power system is developed in the MATLAB/SIMULINK environment. Non-linearities like backlash, transport delay (TD) and generation rate constraint (GRC) are incorporated at the suitable positions in the system and fuzzy-PID controllers are kept as a secondary controller to diminish AGC problem. The superiority of fuzzy-PID controller is explored by comparing with integral, proportional integral (PI) and PID controllers. The controller parameters have been tuned with Glow-worm Swarm Optimization (GSO) algorithm and the Integral Time Absolute Error (ITAE) is used as an objective function. The results are verified through simulations and experiments. The optimized fuzzy-PID controller shows good closed-loop responses in control multi area thermal hydropower system.

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Author information

Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, GMR Institute of Technology, Rajam, Srikakulam, 532127, Andhra Pradesh, India

    Ramana Pilla

  2. Department of Electrical and Electronics Engineering, Sri Sivani College of Engineering, Srikakulam, 532402, Andhra Pradesh, India

    Nirupama Botcha & Tulasichandra Sekhar Gorripotu

  3. College of Engineering, Prince Sultan University, Riyadh, Kingdom of Saudi Arabia

    Ahmad Taher Azar

  4. Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt

    Ahmad Taher Azar

Authors
  1. Ramana Pilla
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  2. Nirupama Botcha
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  3. Tulasichandra Sekhar Gorripotu
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  4. Ahmad Taher Azar
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Corresponding author

Correspondence to Tulasichandra Sekhar Gorripotu .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Sri Sivani College of Engineering, Srikakulam, Andhra Pradesh, India

    Janmenjoy Nayak

  2. Department of Automatics and Applied Software, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina E. Balas

  3. Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia

    Margarita N. Favorskaya

  4. Department of Production Engineering, Indira Gandhi Institute of Technology, Sarang, Odisha, India

    Bibhuti Bhusan Choudhury

  5. Department of Computer Science and Engineering, Gandhi Institute for Technology, Hyderabad, Telangana, India

    S. Krishna Mohan Rao

  6. Department of Computer Application, Veer Surendra Sai University of Technology, Burla, Odisha, India

    Bighnaraj Naik

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Pilla, R., Botcha, N., Gorripotu, T.S., Azar, A.T. (2020). Fuzzy PID Controller for Automatic Generation Control of Interconnected Power System Tuned by Glow-Worm Swarm Optimization. In: Nayak, J., Balas, V., Favorskaya, M., Choudhury, B., Rao, S., Naik, B. (eds) Applications of Robotics in Industry Using Advanced Mechanisms. ARIAM 2019. Learning and Analytics in Intelligent Systems, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-030-30271-9_14

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