In the realm of renewable energy, tidal power holds significant promise, but challenges remain in ensuring stable and efficient energy output. A team of researchers from the University of Antananarivo in Madagascar, led by Fanambinantsoa Philibert Andriniriniaimalaza, has been exploring ways to improve the performance of vertical-axis tidal turbines. Their work, published in the journal “Renewable Energy,” focuses on enhancing the stability and efficiency of the electrical output from these turbines using advanced control strategies.
The researchers investigated the use of artificial intelligence (AI) techniques to optimize the performance of a Permanent Magnet Synchronous Generator (PMSG) driven by a vertical-axis tidal turbine. The goal was to improve the stability of both alternating current (AC) and direct current (DC) output voltages, which are crucial for the reliable integration of tidal energy into the power grid.
Initially, the team explored the use of Maximum Power Point Tracking (MPPT) based on Tip Speed Ratio (TSR) and Artificial Neural Network (ANN) Fuzzy logic controllers. These methods aim to adjust the turbine’s rotational speed to extract the maximum possible power from the tidal flow. However, the researchers found that these conventional approaches had limitations in maintaining voltage stability, especially under varying tidal conditions.
To address this, the team implemented more advanced optimization techniques, including Particle Swarm Optimization (PSO) and a hybrid ANN-PSO methodology. These strategies dynamically adjust the turbine’s reference rotational speed to minimize deviations from optimal power extraction conditions. The results of their simulations, conducted at a water flow velocity of 1.5 meters per second, showed that the PSO-based control approach significantly enhanced voltage stability compared to the conventional MPPT-TSR and ANN-Fuzzy controllers. The hybrid ANN-PSO technique further improved voltage regulation by adapting to system variations in real-time.
The practical implications of this research are substantial for the energy sector. By improving the stability and efficiency of tidal energy systems, these AI-based control strategies can increase the reliability and viability of tidal power as a renewable energy source. This could contribute to the broader adoption of tidal energy, helping to diversify the renewable energy mix and reduce dependence on fossil fuels.
In summary, the researchers from the University of Antananarivo have demonstrated that advanced AI techniques can significantly enhance the performance of vertical-axis tidal turbines. Their work highlights the potential of intelligent control strategies to stabilize output voltages and improve the overall efficiency of tidal energy systems, paving the way for more reliable and sustainable energy solutions. The research was published in the journal “Renewable Energy,” providing a valuable contribution to the field of renewable energy technology.
This article is based on research available at arXiv.