Optimal Design and Modelling of Stand-Alone Photovoltaic-Wind Hybrid System with Adaptive-Fuzzy Controller

Abstract

This paper proposes an optimal approach for design of a hybrid photovoltaic (PV)- wind generating system with adaptive-fuzzy controller, which is based on discrete optimisation and energy balance calculations. The total capacity of the renewable system is determined based on estimated annual power consumption, average wind speed and sun radiation. Different structures of each unit are examined, and a discrete cost function is defined and optimised to determine the minimum number of PV and wind units. To improve system reliability under different operating and environmental conditions, a self-adjustable controller capable of maximum power point tracking (MPPT) of PV units and blade angle pitch control of wind turbines is designed, and energy balance calculation is performed. Using reference adaptive tables, the fuzzy controller allocates each decision unit and activates the required number of units in each farm to supply the average demand power. Simulation results are used to show the validity of the design and system behaviour under different environmental and loading conditions. Main contributions are the inclusion of renewable system configurations, capacities, environmental factors and maximum power point tracking in the optimisation procedure, as well as the utilisation of an adaptive-fuzzy controller.