Design of new controller for load frequency control of isolated microgrid considering system uncertainties. (2018)

• Record Type: Journal Article
• Authors: Esmaeili, Mehran; Shayeghi, Hossein; Nooshyar, Mehdi; Aryanpour, Hamze
• Is Part Of: International journal of power and energy conversion. Volume 9:Number 3(2018)
• Page Start: 285
• Page End: 294
• Publication Date: 2018
• Subjects: neuro-fuzzy inference systems -- ANFIS -- fuzzy PID controller -- NSGA-II -- islanded operation -- LFC -- microgrids; Energy conversion -- Periodicals; Power resources -- Periodicals; Electric power production -- Periodicals; 621.31205
• Languages: English
• ISSNs: 1757-1154

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.