This book presents theoretical, technical, and practical information on the modernization of future energy networks. All the basic requirements covering concepts, modeling, optimizing, and analyzing of future energy grids with various energy carriers such as electricity, gas, heat, and water, as well as their markets and contracts, are explained in detail. The main focus of the book is on modernizing both the energy consumers and the energy producers and analyzing various aspects of grid modernization such as reliability, resiliency, stability, and security. Coverage includes advanced communication protocols and solution methods for the Internet of Energy (IoE) infrastructure and energy trading in future energy grids with high/full share of renewable energy resources (RERs) within the transactive energy (TE) paradigm. Probabilistic modeling and optimizing of modern grids will be evaluated using realistic case studies considering the economic aspects of multi-carrier energy markets. This book will be welcomed as an important resource by researchers and postgraduate students studying energy systems, as well as practicing engineers working on modernizing energy grids and the design, planning, scheduling, and operation of smart power systems.

• Proposes practical solutions for solving the challenges of modern multi-carrier energy grids;
• Examines various types of energy storage systems and distributed energy resources (DERs) with an emphasis on renewable energy resources (RERs);

• Provides comprehensive mathematical models for optimizing of future modern multi-carrier energy grids.

  Autorentext

Mohammadreza Daneshvar was born in Tabriz, Iran, in 1994. He received his B.Sc. degree in Electrical Engineering from Shahid Madani University, Tabriz, Iran, in 2016, and the M.Sc. degree from the University of Tabriz, Tabriz, Iran, in 2018, all with honors. He is currently a research assistant with the Smart Energy Systems Lab in Electrical Power Systems Engineering at the University of Tabriz. His research interests include Smart Grids, Transactive Energy, Energy Management, Renewable Energy Sources, Multi-Carrier Energy Systems, Grid Modernization, Electrical Energy Storage Systems, Microgrids, Energy Hubs, Machine Learning and Deep Learning, Blockchain Technology, and Optimization Techniques.

Somayeh Asadi, PhD, is an Associate Professor in the Department of Architectural Engineering at The Pennsylvania State University. Prior to that, she was an Assistant Professor at Texas A&M University. Dr. Asadi's research interests focus on automated design, critical infrastructure systems, food-water-energy nexus, design of high-performance buildings, and environmental sustainability. She serves on the Editorial Board of the Journal of Advanced Materials Research and the Journal of Environmental Conservation Research, has obtained funding from diverse sources, including the Pennsylvania Department of Environmental Protection, the Department of Energy, the Qatar National Research Fund, and the National Science Foundation, and published more than 70 journal and conference papers.

Behnam Mohammadi-Ivatloo, PhD, is a Senior Research Fellow at Aalborg University, Aalborg, Denmark. Prior to that he was Associate Professor at the University of Tabriz. Before joining the University of Tabriz, he was a research associate at Institute for Sustainable Energy, Environment and Economy at the University of Calgary. He obtained MSc and PhD degrees in electrical engineering from Sharif University of Technology. Dr. Mohammadi is head of the Smart Energy Systems Lab and his mains research interests are renewable energies, microgrid systems, and smart grids.

Inhalt
Overview of the grid modernization and smart grids.- Modernizing the energy customer side.- Technical and theoretical analysis of the future energy network modernization from various aspects.- Advanced communication protocols in modernizing of the future energy grids.- Energy trading possibilities in the modern multi carrier energy networks.- Probabilistic modeling and optimizing of the modern grids with a full share of RERs: robustness and opportunistic analyzing of the system.- An application of the General Algebraic Modeling System (GAMS) in the optimization of the modern grids.