https://orcid.org/0000-0003-3224-8791
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ABSTRACT
This article is about the application of artificial intelligence (AI) to maximize the energy-yielding ability of wind turbines from a renewable energy source. This is done by maximizing the wind turbine power conversion coefficient (Cp) considering the impacts of changes in the wind turbine blade tip speed ratio (λ) and pitch angle (β) according to the fluctuation in wind speed. A fuzzy inference system is used to optimize the Cp in a blend with the blade pitch actuator control. When the wind speed was low, the controller of the pitch actuator reduces β and optimally kept the plane of the blade in the wind flow direction. Also, it optimized the λ of the blade by maintaining the speed of the turbine around a rated value. The simulation result indicated the maximum Cp of 0.5580. This is equivalent to a 7.31% improvement in energy-yielding in comparison to recent most research works. The study is verified using real-time wind data of Adama-Ethiopia, and technical data of the SE7715 wind turbine and its factory test data by employing MATLAB software. Accordingly, a successful improvement in power harvesting capacity is attained, which is in the advance of results in recent literature. Thus, wind energy harvesting can be enhanced by the Cp maximization technique together with a pitch drive system.
Nomenclature
| AI | = | Artificial intelligence |
| PSO | = | Particle Swarm Optimization |
| ANN-PSO | = | Artificial neural network Particle Swarm Optimization |
| RBFNN | = | Radial Base Function Neural Network |
| COAD | = | Centroid of area defuzzification |
| SCIG | = | Squirrel Cage Induction Generator |
| DFIG | = | Double Fed Induction Generator |
| VS WECS | = | variable speed wind energy conversion system |
| FIC | = | Fuzzy Logic Control |
| WECS | = | Wind Energy Conversion System |
| GA | = | Genetic Algorithm |
| WT | = | Wind Turbine |
| HAWT | = | Horizontal Axis Wind Turbine |
| Cp | = | Wind turbine power conversion coefficient |
| MF | = | Membership Function |
| λ | = | Wind turbine blade tip speed ratio pitch angle (β) |
| MPPT | = | Maximum Power Point Track |
| β | = | Wind turbine blade pitch angle |
| MPP | = | Maximum Power Point |
Disclosure statement
No potential conflict of interest was reported by the author(s).