DSM for Energy Optimization and Communications Within Smart Grid CPSs: Investigation and Analysis

DSM for Energy Optimization and Communications Within Smart Grid CPSs: Investigation and Analysis

Sa'ed Abed (Kuwait University, Kuwait), Areej Abdelaal (Kuwait University, Kuwait) and Amjad Gawanmeh (University of Dubai, United Arab Emirates)
Copyright: © 2018 |Pages: 25
DOI: 10.4018/978-1-5225-5510-0.ch001
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Energy demand has increased significantly in the recent years due to the emerging of new technologies and industries, in particular in the developing countries. This increase requires much more developed power grid system than the existing traditional ones. Smart grid (SG) offers a potential solution to this problem. Being one of the most needed and complex cyber-physical systems (CPS), SG has been addressed exhaustively by researchers, from different views and aspects. However, energy optimization yet needs much more studying and examination. Therefore, this chapter presents a comprehensive investigation and analysis of the state-of-the-art developments in SG as a CPS with emphasis on energy optimization techniques and challenges. It also surveys the main challenges facing the SG considering CPS factors and the remarkable accomplishments and techniques in addressing these challenges. In addition, the document contrasts between different techniques according to their efficiency, usage, and feasibility. Moreover, this work explores the most effective applications of the SG as a CPS.
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Smart Grid As A Cyber-Physical System

Smart Grid (SG) refers to a two-way flows of both electricity and information that creates an advanced, automated energy distribution network (Fang, Misra, Xue, & Yang, 2012). The smart grid is meant to solve many issues that face the traditional electric grid which has been almost unchanged for the last century (Karnouskos, 2011). Some of these issues are the delivery constraints due to limited transmission, limited control, centralized generation and manual restoration upon failures and blackouts (Fang et al., 2012). In order for the smart grid to replace the traditional one, it has to obtain specific features, documented by the National Energy Technology Laboratory for the U.S. Department of Energy as the seven principle characteristics for the grid; including self-healing, accommodation for all generation and storage options and optimization for assets and efficient operation (The NETL Modern Grid Initiative, 2007).

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