Dual Mode Linguistic Hedge Fuzzy Logic Controller for an Isolated Biomass Based Diesel Wind Hybrid Power System with Battery Energy Storage Unit

In this paper, a dual mode linguistic hedge fuzzy logic controller for an isolated biomass based diesel wind hybrid power system with battery energy storage unit is proposed. In this fuzzy logic controller design, the linguistic hedge operators are used to adjust the shape of the system membership functions dynamically, and can speed up the control result to fit the system demand. The genetic algorithm-simulated annealing algorithms are adopted to search the optimal linguistic hedge combination in the linguistic hedge module. Dual mode concept is also incorporated in this proposed controller because it can improve the system performance. The system with the proposed controller was simulated and the frequency deviation resulting from a step load disturbance is presented. The simulation results show that the system performance is improved with the proposed controller. It is also found that the controller is less sensitive to the changes in the system parameters.