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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.

Model predictive control (MPC) is a method for controlling a process while satisfying a set of constraints. The use of MPC for controlling power systems has been gaining traction in recent years. This work presents the use of MPC for distributed renewable power generation in microgrids.