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Computational Intelligence in Data Mining pp 819–829Cite as

Comparative Performance Analysis of Adaptive Tuned PID Controller for Multi-machine Power System Network

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 711))

Abstract

In this paper, Genetic Algorithm (GA) and Bacterial Foraging Optimization (BFO) are two optimization algorithms used for tuning of Proportional–Integral–Derivative (PID) controller parameters in designing a multi-machine power system network. These are popular evolutionary algorithms which are generally used for tuning of PID controllers. The proposed approach is easy for implementation as well as it has superior features. The computational techniques enhance the performance of the system, and the convergence characteristics obtained are also stable. The system scheduling BFO-PID and GA-PID controller is modeled using MATLAB platform. When a comparison in the performance of optimal PIDs with conventional PID controller is carried out, the performance of BFO-PID and GA-PID controller is better as it improves the speed, loop response stability, and steady-state error; the rise time is also minimized. The results after simulation show that the controller developed using the BFO algorithm achieves a faster response as compared to GA.

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Authors and Affiliations

  1. Department of EEE, Shri Shankaracharya Technical Campus, Bhilai, 491001, Chhattisgarh, India

    Mahesh Singh, Aparajita Agrawal, Shimpy Ralhan & Rajkumar Jhapte

Authors
  1. Mahesh Singh
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  2. Aparajita Agrawal
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  3. Shimpy Ralhan
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  4. Rajkumar Jhapte
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Corresponding author

Correspondence to Aparajita Agrawal .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering & Information Technology, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India

    Himansu Sekhar Behera

  2. Department of Computer Science and Engineering, Sri Sivani College of Engineering (SSCE), Srikakulam, Andhra Pradesh, India

    Janmenjoy Nayak

  3. Department of Computer Application, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India

    Bighnaraj Naik

  4. Machine Intelligence Research (MIR) Lab, Auburn, WA, USA

    Ajith Abraham

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Singh, M., Agrawal, A., Ralhan, S., Jhapte, R. (2019). Comparative Performance Analysis of Adaptive Tuned PID Controller for Multi-machine Power System Network. In: Behera, H., Nayak, J., Naik, B., Abraham, A. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, vol 711. Springer, Singapore. https://doi.org/10.1007/978-981-10-8055-5_72

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