This expanded and updated second edition is an essential guide to technologies for operating modern flexible power systems. Additional content for this edition includes four new chapters on recent modelling, control and stability analysis of power electronic converters and electric vehicles.

This expanded and updated second edition covers advanced data-driven signal processing techniques for the analysis of power system data and transient oscillations in power grids. New content includes new architectures for smart grids and microgrids, multitemporal data fusion, deep learning, multichannel phasor measurement.

This book describes the three major power system transients and dynamics simulation tools based on a circuit-theory approach that are widely used all over the world (EMTP-ATP, EMTP-RV and EMTDC/PSCAD), together with other powerful simulation tools such as XTAP.

Power converters are vital for clean power, and so is their control. This book covers recent advances in converter control, comparing control methods for different converters. Chapters present control of DC-DC and AC-DC converters, for example using sliding mode and robust control.

A new edition in two volumes of the systematic and comprehensive reference on metaheuristic methods for power systems with distributed renewables, which offers MATLAB-based software, with revised and new chapters.

A new edition in two volumes of the systematic and comprehensive reference on metaheuristic methods for power systems with distributed renewables, which offers MATLAB-based software, with revised and new chapters.

A new edition of this classic book on the topic of converter and device reliability, taking account of the crucial role of power electronics with renewable generation and variable loads. Besides a thorough update, new application-oriented content has been added.

This book conveys approaches for using AI for improved PV forecasting, which is imperative in increasing the share of clean power to achieve decarbonisation of the energy system. Chapters cover machine and deep learning, evaluation, grid integration and case studies.