Adaptive Tuned Proportional-Integral-Derivative Controller for Multi-machine Power System Network Using BFO Algorithm

Volume 5 Issue 4 August - October 2017

Research Paper

Adaptive Tuned Proportional-Integral-Derivative Controller for Multi-machine Power System Network Using BFO Algorithm

Aparjitha Agarwal*, Mahesh Singh**, Shimpy Ralhan***, Vishnu Kumar Sahu****

*,**** Postgraduate, Department of Electrical & Electronics Engineering, SSTC, Bhilal (CG), India.

** Assistant Professor, Department of Electrical & Electronics Engineering, SSTC, Bhilal (CG), India.

*** Associate Professor, Department of Electrical & Electronics Engineering, SSTC, Bhilal (CG), India.

Agrawal, A., Singh, M., and Sahu, V.K. (2017). Adaptive Tuned Proportional-Integral-Derivative Controller for Multi-machine Power System Network Using BFO Algorithm. i-manager’s Journal on Instrumentation and Control Engineering, 5(4), 15-22. https://doi.org/10.26634/jic.5.4.13841

Abstract

The objective of this work is tuning of Proportional-Integral-Derivative (PID) controller parameter for designing a Multimachine Power System Network. Proportional-Integral-Derivative (PID) is widely used now-a-days in power systems, not only to improve small signal stability, but also for enhancing system damping. Further the structure of PID controller is also relative with simplicity and work as a function approximator. Bacterial Foraging Optimization (BFO) algorithm is a popular evolutionary algorithm, which is generally used for tuning of PID controllers. This proposed approach is easy for implementation as well as has superior feature. The efficiency of power system is also improving by this approach and convergence characteristics are also stable. The system Scheduling BFO-PID controller is modeled in MATLAB.