Novel Power Smoothing and Generation Scheduling Strategies for a Hybrid Wind and Marine Current Turbine System

摘要

Grid integration of wind energy is a major challenge as grid codes require electricity generation units to schedule their generation ahead of the trading period and to limit the power fluctuations. This paper proposes novel strategies for mitigating the effects of wind intermittency by developing hybrid off-shore wind and marine current turbines. Unlike the random nature of wind, marine currents have slow cyclic variations and are highly predictable. The proposed methods involve optimal sizing strategy for the hybrid system and rely on the resource predictions. Prediction Intervals for wind speed forecasts using Bootstrapped Artificial Neural Networks have been developed and validated. Marine current speeds have been mathematically modeled using the Harmonic Analysis Method. Subsequently, novel power fluctuation mitigation and generation scheduling strategies using minimum energy storage have been designed based on the UK electricity market regulations and the predicted wind and current speeds. The results demonstrate the effectiveness of the proposed methods which ensure successful mitigation of power fluctuations, reliable dispatch scheduling of renewable generation, and significant cost saving potential.