Elman Neural Network-Based MPPT Control of Wind-Diesel Power Generation System
DOI:
https://doi.org/10.15662/IJEETR.2026.0802322Keywords:
Modified Elman Neural Network, Maximum Power Point Tracking, Diesel Engine, Total Harmonic Distortion, ConvertersAbstract
A Wind-Diesel Power Generation system with Elman network is proposed in this paper. The system consists of Wind Power, Diesel Engine and an Intellectual controller. In the proposed topology, the Diesel Engine and the Wind Turbine are variable-speed machines, permitting Maximum fuel efficiency and Maximum energy extract from the wind. MATLAB2009b/Simulink was used to build the dynamic model and simulate the system. The pitch angle of wind turbine is controlled by the Modified Elman Neural Network (MENN).An Modified ENN is used to control Maximum Power Point Tracking (MPPT) and to reduce the THD in the Grid.ENN is a Partial Recurrent Neural Network which is used to achieve fast and stable response for the real power control and its issues.
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