Nonlinear Optimal Control and Differential Flatness for Renewable Energy Systems Evs in the Smart Grid

Nonlinear Optimal Control and Differential Flatness for Renewable Energy Systems and EVs in the Smart Grid covers nonlinear control and estimation for electric power systems, electric vehicles, and the smart grid. The control and estimation methods presented are characterized by global stability and convergence proofs, which means that the function of renewable electric power systems and electric vehicles presented will be of assured performance and it can be ascertained that it will remain reliable under variable operating conditions. In particular, this new monograph deals with the open research issues and challenges of nonlinear control based on approximate linearization and on global linearization of the associated state-space models. It also successfully addresses the quest for specialized knowledge in renewable electric power systems and in electric vehicles traction systems, bringing new findings in two areas: Firstly, nonlinear control for electric machines (synchronous and asynchronous) with application in the exploitation of renewable energy sources and in the traction system of electric vehicles, and secondly, nonlinear control of power electronics which are used for the connection of renewable energy sources to the electricity grid and for the powertrains of electric vehicles (control of AC to DC converters, control of inverters). This book is of interest to researchers, graduate students, faculty, engineers, and other technical personnel working on control problems and estimation methods, renewable energy systems, electric vehicles, and smart grid technologies.

Pagina's: 350, Paperback, Elsevier - Health Sciences Division