Maximum energy absorbed from the Persian Gulf waves considering uncertainty in power take off parameters
AbstractNowadays, sea wave energy is widely regarded as an energy source that is clean, renewable and highly available for power extraction. The subject of extracting the maximum power from sea waves in Iran is of great importance due to access to the Caspian Sea and the Persian Gulf. Moreover, there is a need for resources with no air pollution besides providing a part of the country's power demand without costly infrastructure, so this research field is highly interesting although has rarely been addressed so far. The present study aims to maximize the energy absorbed from Persian Gulf sea waves. In the first step, a compensator is designed to deal with the dynamic effects of the complex nonlinear terms of dynamical system. Point absorber wave energy converters are prone to some parametric uncertainties due to water-formed scale deposits and changes in climatic conditions, as well as uncertainties in state variables measurement, so a controller is designed that optimally handles these uncertainties and extracts the maximum power from sea waves. To address these uncertainties in the simplified nonlinear system with the designed compensator, an interval type-2 fuzzy logic controller is proposed. Then, the turbulent black hole algorithm is used to optimize the proposed controller. Finally, some simulations are performed and the proposed controller is implemented for the wave spectrum of the Persian Gulf waters, so the performance of the proposed controller is evaluated.
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