Performance analysis of conventional and fuzzy logic controlled automatic voltage regulator systems in a noisy environment.

Irfan Ahmed Halepoto; Imtiaz Hussain; Wanod Kumar; Bhawani Shankar Chowdhry

No Detail Found!

Performance analysis of conventional and fuzzy logic controlled automatic voltage regulator systems in a noisy environment.

Author(s)

Irfan Ahmed Halepoto Department of Electronic Engineering, Mehran University Engineering & Technology, Jamshoro, Pakistan

Imtiaz Hussain Department of Electronic Engineering, Mehran University Engineering & Technology, Jamshoro, Pakistan

Wanod Kumar Department of Electronic Engineering, Mehran University Engineering & Technology, Jamshoro, Pakistan

Bhawani Shankar Chowdhry Department of Electronic Engineering, Mehran University Engineering & Technology, Jamshoro, Pakistan

Abstract

The increasing demand for electric power is leading to complex interconnected power systems. As a result, generation units are being operated under stressed conditions with smaller stability margins. The power supplied by the generator involves active and reactive components and good control of active and reactive power is essential in order to maintain a satisfactory steady state as these components can disturb the parameters of the power system. To regulate the reactive power and voltage magnitude of generation unit, AVR (Automatic Voltage Regulation) system is used in the forward path of the closed loop system of the generator. The addition of a conventional Proportional Integral and Derivative (PID) controller in the forward path of the AVR system can improve the dynamic response significantly but this may be at the cost of additional noise (introduced by the derivative component) which may reduce the overall effectiveness of the controller and this is a matter of concern in practice. This paper primarily focuses on the issue of noise vulnerability of PID controlled AVR systems. An alternative and more effective fuzzy logic controlled approach is proposed to tackle these issues encountered with conventional controllers. The proposed solution uses a Fuzzy Inference System (FIS) to control the magnitude and rate of change of error, while the two nonlinear fuzzy membership functions are used to mitigate the noise effects. Simulations models of the PID controlled AVR system and proposed fuzzy logic controlled AVR systems are developed and results are compared to demonstrate the potential of the proposed design. Simulation results confirm the superiority of the proposed fuzzy logic controlled AVR system under noisy conditions.

Publication Details

Page(s) 33-39

DOI DOI not available

Published Journal: New Horizons: Journal of the Institution of Electrical & Electronics Engineers Pakistan, Volume: 81, Issue: , Year: 2014

Request the full text from PASTIC

Citations

Downloads

Views