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Springer - Model Predictive Control of Microgrids Book

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Description

This Springer publication explores how model predictive control (MPC) facilitates the operation of renewable-energy microgrids. The text provides a comprehensive overview of control methods for microgrid operation across all levels, from maintaining quality of service to integration within the electricity market. Readers gain access to MPC-based solutions designed for energy management and the optimal operation of microgrids. Through detailed case studies, the book examines MPC techniques applied to various renewable sources, specifically focusing on wind and photovoltaic power. It also covers hybrid storage solutions involving batteries and hydrogen, making it a valuable resource for those studying energy engineering and industrial control advances.

Key Features

This Springer book provides a wide overview of control methods for microgrid operation at all levels.

The text offers MPC-based solutions for energy management and optimal microgrid operation.

Case studies include MPC techniques for renewable sources such as wind and photovoltaic power.

The content covers hybrid storage systems using hydrogen and batteries.

The book addresses integration in the electricity market and quality of service requirements.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
24 September 2019
Listed Since
01 June 2019

Barcode

No barcode data available

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