Farhad Amiri - Electrical Engineering Department, Faculty of Engineering, Bu-Ali Sina University, Hamedan ۶۵۱۶۷۳۸۶۹۵, Iran
Mohammad Hassan Moradi - Electrical Engineering Department, Faculty of Engineering, Bu-Ali Sina University, Hamedan ۶۵۱۶۷۳۸۶۹۵, Iran

With the presence of distributed energy resources in the microgrid, the problem of load-frequency control (LFC) becomes one of the most important concerns. With changing the parameters of the microgrid components as well as the disturbances forced to the grid, designing a suitable LFC becomes more difficult. In this paper, the design of a Robust model predictive controller (RMPC) based on the linear matrix inequality as a secondary controller LFC system is discussed for controlling a microgrid on the shipboard. The main purpose of the proposed method is to improve the frequency stability of the microgrid in the presence of disturbances and the uncertainty of its parameters. The proposed controller simulation results, in several different scenarios, considering The uncertainty of the microgrid parameters as well as the input disturbances are compared. The main controllers are the fuzzy proportional-integral type۱ and ۲, and multi-objective multi-purpose functions optimized with the MOFPI (MBBHA), MOIT۲FPI (MBHA) algorithm. The effectiveness of the proposed method in terms of The response speed and reduction of fluctuations and overcome uncertainties of the parameters, as well as robustness to disturbances, are discussed. Simulation is implemented in MATLAB software. The proposed method reduces the frequency oscillations caused by disturbances on the microgrid by ۶۸% (۶۸% improvement over other methods used in this field). Also, using this method, the damping speed of microgrid frequency fluctuations is increased by ۵۳% (performance improvement).

microgrid on the shipboard, Load-frequency control, Linear matrix inequality, Uncertainty