Abstract
Due to their versatility and local optima avoidance ability, meta-heuristic optimization techniques have been applied to various nonlinear engineering problems over the last decay. This paper presents a modified Ant Colony Optimization (ACO) Algorithm based controller for Maximum Power Point Tracking (MPPT) of a stand-alone photovoltaic (PV) system. ACO algorithm is modified to track the maximum power point with rapid pace and accuracy. MATLAB®/SIMULINK® environment is used for modelling of modified ACO based MPPT controller. Simulation results demonstrate the effectiveness of modified ACO based MPPT controller for MPPT tracking in standalone PV system performance.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
