Title: Design of new controller for load frequency control of isolated microgrid considering system uncertainties

Authors: Mehran Esmaeili; Hossein Shayeghi; Mehdi Nooshyar; Hamze Aryanpour

Addresses: Department of Technical Engineering, University of Mohaghegh Ardabili, Ardabil, Iran ' Department of Technical Engineering, University of Mohaghegh Ardabili, Ardabil, Iran ' Department of Technical Engineering, University of Mohaghegh Ardabili, Ardabil, Iran ' Department of Technical Engineering, University of Mohaghegh Ardabili, Ardabil, Iran

Abstract: In this paper, a method for designing a load frequency control for micro grids after islanding has been proposed using neuro-fuzzy inference systems (ANFIS) control approaches. The three different controllers consisting optimal PID controller, fuzzy controller and a special kind of ANFIS controller have been compared. PID controller parameters are tuned using NSGA-II algorithm to minimise overshoot, settling time and integral square error over a wide-range of load changes. The PID controller parameters obtained from NSGA-II algorithm are used to train ANFIS. The performances of the controllers are implemented using MATLAB package. A comparison of ANFIS PID controller and other controllers indicates the superiority of proposed ANFIS-based approach over fuzzy PID and optimal PID controller for the same conditions.

Keywords: neuro-fuzzy inference systems; ANFIS; fuzzy PID controller; NSGA-II; islanded operation; LFC; microgrids.

DOI: 10.1504/IJPEC.2018.092687

International Journal of Power and Energy Conversion, 2018 Vol.9 No.3, pp.285 - 294

Received: 22 Mar 2016
Accepted: 24 Aug 2016

Published online: 12 Dec 2017 *

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