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Design of fast and efficient maximum power point tracking method for photovoltaic systems under partial shading conditions. Seyedmahmoudian, Mohammadmehdi.
School of Engineering. Faculty of Science, Engineering and Built Environment.
II. MAXIMUM POWER POINT TRACKING ALGORITHMS
Horan, Ben orcid. In my thesis I designed and developed a controller, based on artificial intelligence approach, to increase the efficiency of residential photovoltaic systems under partial shading conditions. Higher degree theses citation only.
Zhang, Qinhao maximum power point tracking in photovoltaic systems using model reference adaptive control. Master's Thesis, University of Pittsburgh.
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This thesis proposes adaptive control architecture for maximum power point tracking MPPT in photovoltaic systems. Photovoltaic systems provide promising ways to generate clean electric power. MPPT technologies have been used in photovoltaic systems to deliver the maximum power output to the load under changes of solar insolation and solar panel's temperature. To improve the performance of MPPT, this thesis proposes a two-layer adaptive control architecture that can effectively handle the uncertainties and perturbations in the photovoltaic systems and the environment.
By decoupling these two control algorithms, the control system achieves the maximum power point tracking with shorter time constants and overall system stability. To track the maximum power point as the solar insolation changes, the RCC algorithm computes the corresponding duty cycle, which serves as the input to the MRAC layer.