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Demand response and smart grids—A survey

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TLDR
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.
Abstract
The smart grid is conceived of as an electric grid that can deliver electricity in a controlled, smart way from points of generation to active consumers. Demand response (DR), by promoting the interaction and responsiveness of the customers, may offer a broad range of potential benefits on system operation and expansion and on market efficiency. Moreover, by improving the reliability of the power system and, in the long term, lowering peak demand, DR reduces overall plant and capital cost investments and postpones the need for network upgrades. In this paper a survey of DR potentials and benefits in smart grids is presented. Innovative enabling technologies and systems, such as smart meters, energy controllers, communication systems, decisive to facilitate the coordination of efficiency and DR in a smart grid, are described and discussed with reference to real industrial case studies and research projects.

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On the application of multi-agent systems in buildings for improved building operations, performance and smart grid interaction: a survey

TL;DR: In this paper, the authors provide an overview of the application of multi-agent systems in building operations for coordination of various building processes and buildings interaction with the smart-grid, and identify key areas in building operation where its application provides improved performance.
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Battery Energy Storage System battery durability and reliability under electric utility grid operations: Analysis of 3 years of real usage

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Journal ArticleDOI

Hybrid probabilistic-possibilistic approach for capacity credit evaluation of demand response considering both exogenous and endogenous uncertainties

TL;DR: A new methodological framework to assess the potential reliability value of DR in smart grids is proposed, established on the concept of capacity credit, and the fuzzy theory and possibilistic models are proposed to describe the human-related uncertainties under incomplete information.
Journal ArticleDOI

Implementation of a dynamic energy management system using real time pricing and local renewable energy generation forecasts

TL;DR: In this article, the authors proposed a novel dynamic home energy management approach capable of integrating both load and source side dynamics into decision-making process, where power consumption of appliances, electricity tariff and power from renewable sources are dynamically taken into account with a 5min time step.
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Flexible electricity tariffs: Power and energy price signals designed for a smarter grid

TL;DR: In this article, the authors present a range of flexible price signals that can address this by acting as effective demand control mechanisms and propose a specific tariff design that shows robust network performance and reduces energy procurement costs.
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

Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads

TL;DR: An overview and a taxonomy for DSM is given, the various types of DSM are analyzed, and an outlook on the latest demonstration projects in this domain is given.
Journal ArticleDOI

Smart Grid Technologies: Communication Technologies and Standards

TL;DR: The main objective of this paper is to provide a contemporary look at the current state of the art in smart grid communications as well as to discuss the still-open research issues in this field.
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Renewable and Efficient Electric Power Systems

TL;DR: In this article, the authors present an overview of the early history of the electric power industry, including the early pioneers of the electrical power industry and the development of the modern electric power system.
Journal ArticleDOI

Optimal Residential Load Control With Price Prediction in Real-Time Electricity Pricing Environments

TL;DR: Simulation results show that the combination of the proposed energy consumption scheduling design and the price predictor filter leads to significant reduction not only in users' payments but also in the resulting peak-to-average ratio in load demand for various load scenarios.
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