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Proceedings ArticleDOI

Review of demand response under smart grid paradigm

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TLDR
In this article, the available literature on demand response (DR) is categorized into general concept papers and papers on DR models applicable to the wholesale or retail markets, and are presented in a precise manner.
Abstract
Demand response (DR) has an important role to play in the electricity market for maintaining the balance between supply and demand by introducing load flexibility instead of only adjusting generation levels, at almost all operational time scales. There are many players in the market who benefit from DR, like the TSO, DSOs, retailers and end-customers themselves. The recent advent of smart grid technologies advanced the integration of DR by providing the needed information and communication infrastructure to the existing grid. Available literature on DR talks about the concept and definitions of DR, possible DR models for various region-specific market structures along with few DR implementation experiences in a system with ever increasing levels of loads along with evolution of innovative technologies like renewables, micro-grids, PEVs, etc. In this paper, the available literature on DR is categorized into general concept papers and papers on DR models applicable to the wholesale or retail markets, and are presented in a precise manner.

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Journal ArticleDOI

Demand response and smart grids—A survey

TL;DR: In this article, a survey of demand response potentials and benefits in smart grids is presented, with reference to real industrial case studies and research projects, such as smart meters, energy controllers, communication systems, etc.
Journal ArticleDOI

Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions

TL;DR: A comprehensive survey on the IoT-aided smart grid systems is presented in this article, which includes the existing architectures, applications, and prototypes of the IoTaided SG systems.
Journal ArticleDOI

A review on peak load shaving strategies

TL;DR: In this paper, the impact of three major strategies for peak load shaving, namely demand side management (DSM), integration of energy storage system (ESS), and integration of electric vehicle (EV) to the grid has been discussed in detail.
Journal ArticleDOI

Demand response for sustainable energy systems: A review, application and implementation strategy

TL;DR: In this article, a review of DR, existing application and a possible implementation strategy in a smart grid environment is presented, and classification and status of DR programs in different U.S. electricity markets have been also discussed.
Journal ArticleDOI

The Internet of Energy: Smart Sensor Networks and Big Data Management for Smart Grid

TL;DR: Recommendations and practices to be used in the future of smart grid and Internet of things are provided and the different applications of smart sensor networks in the domain of smart power grid are explored.
References
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Journal ArticleDOI

Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid

TL;DR: This paper presents an autonomous and distributed demand-side energy management system among users that takes advantage of a two-way digital communication infrastructure which is envisioned in the future smart grid.
Journal ArticleDOI

A summary of demand response in electricity markets

TL;DR: In this article, the authors present a summary of demand response in deregulated electricity markets and highlight the most common indices used for DR measurement and evaluation, and some utilities' experiences with different demand response programs are discussed.
Journal ArticleDOI

Demand side management: Benefits and challenges ☆

TL;DR: In this paper, the major benefits and challenges of electricity demand side management (DSM) are discussed in the context of the UK electricity system, particularly in the residential, commercial and small business sectors.
Journal ArticleDOI

Grid of the future

TL;DR: In this article, the authors argue that the transition to a smart grid has to be evolutionary to keep the lights on; on the other hand, the issues surrounding the smart grid are signifi cant enough to demand major changes in power systems operating philosophy.
Journal ArticleDOI

Real-Time Demand Response Model

TL;DR: An optimization model to adjust the hourly load level of a given consumer in response to hourly electricity prices is described, which materializes into a simple linear programming algorithm that can be easily integrated in the Energy Management System of a household or a small business.
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