The first book in the field to incorporate fundamentals of energy
systems and their applications to smart grid, along with advanced topics
in modeling and control
This book provides an overview of how multiple sources and loads are
connected via power electronic devices. Issues of storage technologies
are discussed, and a comparison summary is given to facilitate the
design and selection of storage types. The need for real-time
measurement and controls are pertinent in future grid, and this book
dedicates several chapters to real-time measurements such as PMU, smart
meters, communication scheme, and protocol and standards for processing
and controls of energy options.
Organized into nine sections, Energy Processing for the Smart Grid
gives an introduction to the energy processing concepts/topics needed by
students in electrical engineering or non-electrical engineering who
need to work in areas of future grid development. It covers such modern
topics as renewable energy, storage technologies, inverter and
converter, power electronics, and metering and control for microgrid
systems. In addition, this text:
- Provides the interface between the classical machines courses with
current trends in energy processing and smart grid
- Details an understanding of three-phase networks, which is needed to
determine voltages, currents, and power from source to sink under
different load models and network configurations
- Introduces different energy sources including renewable and
non-renewable energy resources with appropriate modeling
characteristics and performance measures
- Covers the conversion and processing of these resources to meet
different DC and AC load requirements
- Provides an overview and a case study of how multiple sources and
loads are connected via power electronic devices
- Benefits most policy makers, students and manufacturing and practicing
engineers, given the new trends in energy revolution and the desire to
reduce carbon output
Energy Processing for the Smart Grid is a helpful text for
undergraduates and first year graduate students in a typical engineering
program who have already taken network analysis and electromagnetic
courses.
