Synthesis Lectures on Renewable Energy Technologies Innovative Solutions in Simulation, Modelling and Control of Photovoltaic Systems

This book provides innovative methods for simulating, modeling, and controlling photovoltaic systems. The authors demonstrate how the parameters of each model are harnessed to develop a partial PI controller aimed at commanding the corresponding model to achieve the desired performances swiftly and precisely. This book provides innovative methods for simulating, modeling, and controlling photovoltaic systems. The authors introduce a modeling strategy including eight linear models pondered by nonlinear weighting functions that are calculated dynamically based on extreme temperature and irradiance values. The authors demonstrate how the parameters of each model are harnessed to develop a partial PI controller aimed at commanding the corresponding model to achieve the desired performances swiftly and precisely. The books goes on to show how merging the gains of the partial PI controllers with the nonlinear weighting functions, the PI controller gain for the PV system can be effectively determined. The authors present the results of simulation performed in MATLAB/SIMULINK environment to demonstrate the model's ability to depict accurately the behavior of the PV system across all operative zones and under varying climatic conditions. Furthermore, the authors show how the results demonstrate the effectiveness of the proposed PI controller in swiftly and precisely tracking the maximum power point while maintaining stability and canceling ripples. In addition, this book: Provides innovative methods for simulating, modeling, and controlling photovoltaic systems Introduces a strategy including eight linear models pondered by nonlinear weighting functions Shows how each model is used to develop a partial PI controller aimed at commanding the corresponding model This book provides innovative methods for simulating, modeling, and controlling photovoltaic systems. The authors introduce a modeling strategy including eight linear models pondered by nonlinear weighting functions that are calculated dynamically based on extreme temperature and irradiance values. The authors demonstrate how the parameters of each model are harnessed to develop a partial PI controller aimed at commanding the corresponding model to achieve the desired performances swiftly and precisely. The books goes on to show how merging the gains of the partial PI controllers with the nonlinear weighting functions, the PI controller gain for the PV system can be effectively determined. The authors present the results of simulation performed in MATLAB/SIMULINK environment to demonstrate the model's ability to depict accurately the behavior of the PV system across all operative zones and under varying climatic conditions. Furthermore, the authors show how the results demonstrate the effectiveness of the proposed PI controller in swiftly and precisely tracking the maximum power point while maintaining stability and canceling ripples.