Thesis:

Secondary islanded microgrid voltage control by fuzzy adaptive method

With the increase in the penetration rate of microgrids in power networks, their control becomes increasingly important. The voltage characteristic along with the frequency characteristic are the most important parameters of an electric power system and in this study the voltage control of the microgrid network is targeted. With the aim of fast voltage regulation for consensual voltage control of DGs in microgrid structure, this study presents a new robust approach using fuzzy and adaptive methods. Based on this, this thesis first describes the model of an islanded microgrid consisting of various elements such as extensive production sources and then designs and presents a fuzzy adaptive hybrid robust control method. By defining the fault dynamics and using the Lyapunov method, the stability of the closed-loop system is guaranteed under the proposed fuzzy adaptive control method, and of course, the achievement of control goals, the elimination of voltage deviations and the rapid regulation of the output voltage of DGs are possible. The proposed hybrid method is able to cover the effects of disturbances and load changes in the microgrid, and the simulation results in the MATLAB environment show the effectiveness of the proposed method in different scenarios.

Keywords: islanded microgrid, voltage control, robust method, fuzzy method, adaptive method, Lyapunov stabilit