Primary frequency regulation of a microgrid by deloaded tidal turbines

Abstract

In recent years, mindset of people is observed much more inclined towards the usage of renewable energy systems because of the environmentally friendly nature and the monetary advantages of fuel saving. However, since non-conventional sources are unpredictable in nature, consequently high penetration of these sources causes reliability and power quality issues. It inspires researchers to redefine or develop the frequency regulation strategies. This paper introduces a fractional-order control methodology to adapt the primary frequency regulation from deloaded tidal power generators on the basis of existing power constraints. It is ameliorated by inertia and damping control, primary frequency control, and supplementary frequency control of the system. The control processes are implemented through fractional controllers. The parameters of fractional controllers are tuned by imperialist competitive algorithm. To assess the effectiveness of the proposed controller, simulated outcomes are evaluated with conventional controller. Besides this, the ICA-based controller results are also compared with other algorithms such as particle swarm optimization and genetic algorithm. An improvement in performance index from 16.11 to 22.80% is reported with proposed control strategy.