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This book provides an overview of modeling methods for a photovoltaic array working in uniform and in mismatched conditions. It then discusses the ways in which the best MPPT performances can be achieved and the design of the parameters affecting the algorithm performances. Then, the author examines the maximization of the energy harvested in mismatched conditions, in terms of both power architecture and control algorithms. Last but not least, he details the design of the dc/dc converter, which usually performs the MPPT function, with special emphasis on its energy efficiency.

The book provides the reader with an overview of the models that can be used for simulating a PV (photovoltaic) generator at different levels of granularity, from cell to system level, in uniform as well as in mismatched conditions. It provides a thorough comparison among the models. The book is divided into 9 chapters: Introduction, PV models, Single Diode Model (SDM) parameters identification, PV simulation under homogeneous conditions, PV arrays under non-homogeneous conditions, Models of PV arrays under non-homogeneous conditions, PV array modeling at cell level under non-homogeneous...

State space models have gained tremendous popularity in recent years in as disparate fields as engineering, economics, genetics and ecology. After a detailed introduction to general state space models, this book focuses on dynamic linear models, emphasizing their Bayesian analysis. Whenever possible it is shown how to compute estimates and forecasts in closed form; for more complex models, simulation techniques are used. A final chapter covers modern sequential Monte Carlo algorithms.

The book illustrates all the fundamental steps needed to use dynamic linear models in practice,...