Title: Design and analysis of BFOA optimised PID controller with derivative filter for frequency regulation in distributed generation system

Authors: Tulasichandra Sekhar Gorripotu; Darapureddi Vijaya Kumar; Manmadha Kumar Boddepalli; Ramana Pilla

Addresses: Department of Electrical and Electronics Engineering, Sri Sivani College of Engineering, Chilakapalem, Srikakulam-532402, Andhra Pradesh, India ' Department of Electrical and Electronics Engineering, Aditya Institute of Technology and Management, Tekkali, Srikakulam-532201, Andhra Pradesh, India ' Department of Electrical and Electronics Engineering, Aditya Institute of Technology and Management, Tekkali, Srikakulam-532201, Andhra Pradesh, India ' Department of Electrical and Electronics Engineering, GMR Institute of Technology, Rajam, Srikakulam-532127, Andhra Pradesh, India

Abstract: In this article, a bacterial foraging optimisation algorithm (BFOA)-based proportional integral derivative controller with derivative filter (PIDF) is proposed for frequency regulation of multi source hybrid power system. Initially, a two area, unequal area power system with PIDF controllers, are considered. The area 1 comprises of reheat thermal power system incorporated with distributed generation (DG) system comprising of wind turbine generators (WTGs), diesel engine generators (DEGs), fuel cells (FCs), aqua-electrolyser (AE), ultra capacitor (UC) and battery energy storage system (BESS). The area 2 comprises of hydrothermal power system. The gains of the PID controller with derivative filter are optimised by using integral time multiply absolute error (ITAE) criterion. The superiority of PIDF controller is demonstrated by comparing the dynamic responses with integral derivative (ID) and proportional integral (PI) controllers. The simulation results show that the performance of dynamic responses with PIDF controller is superior to others. Further, robustness analysis is performed by varying the system parameters and wind power variations. It is observed from the simulation results that the optimum gains of the proposed controller need not be reset even if the system is subjected to wide variation in loading condition and system parameters.

Keywords: bacterial foraging optimisation algorithm; BFOA; distributed generation; frequency regulation; proportional integral derivative controller with derivative filter; PIDF; robustness analysis.

DOI: 10.1504/IJAAC.2018.090808

International Journal of Automation and Control, 2018 Vol.12 No.2, pp.291 - 323

Received: 08 Jun 2016
Accepted: 14 Oct 2016
Published online: 28 Mar 2018 *

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