Abstract
In this paper dynamic modelling, simulation and synthetic operation of adaptive control, supervisory control and space vector control are considered in a stand-alone hybrid power generation system of wind turbine, microturbine and battery storage. Due to efficient and economical utilisation of the renewable energy resources, optimal sizing of the hybrid system is fulfilled based on economic analysis using genetic algorithms. For extraction of maximum energy from a variable speed wind turbine, a developed Lyapunov model reference adaptive feedback linearisation method accompanied by an indirect space vector control is applied. Because of more reliability, more fuel flexibility, less environmental pollution, less noise generation and less power fluctuation in comparison with a diesel generator, a hydrogen based microturbine integrated with battery storage is suggested as a backup for this system
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