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Journal ArticleDOI

Demand response in smart electricity grids equipped with renewable energy sources: A review

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TLDR
In this article, a review of demand response in renewable energy resources (RERs) is presented, along with a complete benefit and cost assessment of DR and the effects of DR in electricity prices.
Abstract
Dealing with Renewable Energy Resources (RERs) requires sophisticated planning and operation scheduling along with state of art technologies. Among many possible ways for handling RERs, Demand Response (DR) is investigated in the current review. Because of every other year modifications in DR definition and classification announced by Federal Energy Regulatory Commission (FERC), the latest DR definition and classification are scrutinized in the present work. Moreover, a complete benefit and cost assessment of DR is added in the paper. Measurement and evolution methods along with the effects of DR in electricity prices are discussed. Next comes DR literature review of the recent papers majorly published after 2008. Eventually, successful DR implementations, around the world, are analyzed.

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Journal ArticleDOI

Innovative Application of Model-Based Predictive Control for Low-Voltage Power Distribution Grids with Significant Distributed Generation

TL;DR: A control scheme for flexible asset management is proposed with the aim of closing the gap between power supply and demand in a suburban low-voltage power distribution grid with significant penetration of solar PV power generation while respecting the different systems’ operational constraints.
Proceedings ArticleDOI

Direct Load Control on Smart Micro Grid supported by Wireless Communication and Real Time Computation

TL;DR: In this paper, a load management scheme applied to micro grid, in a smart grid environment is presented, where a smart micro grid simulator is developed and used for the validation of the study.
Journal ArticleDOI

A Deferrable Energy Scheduling Algorithm in Smart Grid Distribution

TL;DR: A mathematical energy scheduling model for RTP demand response is proposed, and based on which, a distributed scheduling algorithm of energy consumption for total cost minimization is proposed.
Proceedings ArticleDOI

Identification of time elasticity of load based on analytic hierarchy process

TL;DR: Time elasticity of load is proposed to evaluate the time selection of power consumption according to similarity between sampling load curve and typical load curve, smoothness of load Curve, loss cost of load shift and proportion of loadshift.
References
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Journal ArticleDOI

Distributed generation : a definition

TL;DR: In this article, the relevant issues and aims at providing a general definition for distributed power generation in competitive electricity markets are discussed, which can be defined as electric power generation within distribution networks or on the customer side of the network.
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

Robust discrete optimization and network flows

TL;DR: This work proposes a robust integer programming problem of moderately larger size that allows controlling the degree of conservatism of the solution in terms of probabilistic bounds on constraint violation, and proposes an algorithm for robust network flows that solves the robust counterpart by solving a polynomial number of nominal minimum cost flow problems in a modified network.
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

Optimization methods applied to renewable and sustainable energy: A review

TL;DR: A review of the current state of the art in computational optimization methods applied to renewable and sustainable energy can be found in this article, which offers a clear vision of the latest research advances in this field.
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