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Microgrid Dynamics and Control

ISBN: 978-1-119-26370-8

July 2017

720 pages

Description

A comprehensive review of microgrid dynamic analysis, control synthesis, and implementations

The microgrid (MG) concept provides a quite appealing solution for overcoming the challenges of integrating renewable energy sources (RESs) and distributed generators (DGs) into power grids. Advances in MG control have improved the MGs potential to be integrated into the electrical power grids in a higher capacity. This improvement not only covers their internal control performance, but also includes the support functionalities to enhance the global operation of power grids.

Microgrid Dynamics and Control is a comprehensive resource that explores MG technologies in the context of renewable power penetration and addresses the challenging control issues. The authors—noted experts in the field—examine the current and long term academic research to offer a summary of the main achievements and the most relevant information available. In addition, the text draws the authors' practical experiences on MGs, electric network monitoring, control design, and power electronic systems.

The text covers MG structure, types, operating modes, modeling, dynamics, and control levels. The physical constraints and engineering aspects of MGs are covered, and developed robust and intelligent control strategies are discussed. This important resource:

  • Represents several MG modeling, dynamic analysis methodologies and control synthesis approaches that all are examined by real time simulations and experimental studies
  • Covers the MG hierarchical control levels including local, secondary, central/emergency, and global controls to ensure stable, reliable, secure, and economical operation in either grid-connected or islanded operation mode
  • Discusses new outcomes and advances in DC MGs, virtual synchronous generators, energy management and power control

Microgrid Dynamics and Control offers engineers and operators in power grid planning and operation a thorough discussion of the basic principles of MG modeling and provides information on common operating issues.

About the Author

Hassan Bevrani, PhD, is a Professor at University of Kurdistan, Kurdistan, Iran.

Bruno Francois, PhD, is a Professor at Centrale Lille, Lille, France.

Toshifumi Ise, PhD, is a Professor at Osaka University, Osaka, Japan.