Control and FDI for Electric Power Systems and EVs

Intelligent Control for Electric Power Systems and Electric Vehicles Proposes new control methods that treat the control problem of the complex nonlinear dynamics of electric power systems and electric vehicles without the need for complicated state-space model transformations and changes of state variables. The proposed control schemes also foster the optimized exploitation of renewable energy sources and the reliable integration of renewable energy units in the power grid. It focuses on intelligent control techniques applicable to a wide range of electric motor systems and energy conversion units. The manuscript is suitable for teaching nonlinear control, estimation and fault diagnosis topics with emphasis to electric power systems and to electric vehicle traction and propulsion systems both at late undergraduate and postgraduate levels. Fault Diagnosis for Electric Power Systems and Electric Vehicles Offers a detailed and in-depth analysis of the topic of fault diagnosis for electric power systems and electric vehicles. It develops new fault detection and isolation methods which are addressed to a wide class of nonlinear dynamic systems, with emphasis on electric power systems and electric vehicles. Model-free fault detection and isolation methods are analyzed, processing raw data with neural networks and nonlinear regressors to create fault-free models, while statistical tests on the residuals provide objective criteria for failures; these new methods, incorporating statistical procedures for defining fault thresholds, enable early diagnosis and reveal incipient changes in monitored system parameters. Key Features: Offers timely and state-of-the-art insight on nonlinear control, nonlinear estimation and fault diagnosis for electric power systems and for electric traction and propulsion systems. Analyzes new methods of nonlinear control and offers valuable resources for researchers tackling control problems in these domains. Contains fault detection and isolation approaches that have been developed in the new monograph which can be used by researchers carrying out work on condition monitoring and fault diagnosis problems. Equips skilled technical personnel and engineers with advanced control and fault diagnosis methods, enabling them to optimize electric power systems and traction systems while addressing complex challenges in power electronics and propulsion systems.