Abstract:
This research presents a framework for designing and modeling a PV-wind hybrid system and its control techniques. These control mechanisms manage constant changes in the hybrid system’s operational requirements.
Energy distribution is crucial to power dependability in distribution systems. This study combines a PV and wind energy system with the hybrid system. Maximum power point tracking (MPPT) strategies are suggested to maximize system efficiency.
This work also improved hybrid system stability. A novel control strategy, the distributed power flow controller (DPFC) implementation with the lion optimization algorithm (LOA), improves power quality and transient stability of the proposed system.
First applied to DPFC controllers in grid-connected systems, this LOA control technique was developed. Voltage and current signals were used to construct the control approach. This study tuned these parameters using fuzzy logic and lion optimization. The controller-equipped system was evaluated in MATLAB/Simulink and compared.
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