Reprint

Nanogrids, Microgrids, and the Internet of Things (IoT)

Towards the Digital Energy Network

Edited by
November 2019
128 pages
  • ISBN978-3-03921-794-6 (Paperback)
  • ISBN978-3-03921-795-3 (PDF)

This book is a reprint of the Special Issue Nanogrids, Microgrids, and the Internet of Things (IoT): towards the Digital Energy Network that was published in

Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary

Driven by new regulations, new market structures, and new energy resources, the smart grid has been the trigger for profound changes in the way that electricity is generated, distributed, managed, and consumed. The smart grid has raised the traditional power grid by using a two-way electricity and information flow to create an advanced, automated power supply network. However, these pioneering smart grid technologies must grow to adapt to the demands of the current digital society. In today’s digital landscape, we can access feasible data and knowledge that were merely inconceivable. This Special Issue aims to address the landscape in which smart grids are progressing, due to the advent of pervasive technologies like the Internet of Things (IoT). It will be the advanced exploitation of the massive amounts of data generated from (low-cost) IoT sensors that will become the main driver to evolve the concept of the smart grid, currently focused on infrastructure, towards the digital energy network paradigm, focused on service. Furthermore, collective intelligence will improve the processes of decision making and empower citizens. Original manuscripts focusing on state-of-the-art IoT networking and communications, M2M communications, cyberphysical system architectures, big data analytics or cloud computing applied to digital energy platforms, including design methodologies and practical implementation aspects, are welcome.

Format
  • Paperback
License
© 2020 by the authors; CC BY license
Keywords
frequency variations; islanded operation; nanogrids; power quality; power system reliability; harmonics; islanded operation; nanogrids; power quality; voltage unbalance; distributed energy resources; electric energy storage; energy management system; genetic algorithm; microgrid; prosumer; self-consumption; smart inverter; microgrid; distributed generation; communication; wireless; PV monitoring; low-cost solutions; LoRa technology; demand response; direct load control; home energy management system; mixed-integer linear programming; n/a