Journal ArticleDOI
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.read more
Citations
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Stochastic modelling of renewable energy sources from operators' point-of-view: A survey
Saber Talari,Miadreza Shafie-khah,Gerardo J. Osorio,Jamshid Aghaei,Joao P. S. Catalao,Joao P. S. Catalao,Joao P. S. Catalao +6 more
TL;DR: In this article, a review of different state-of-the-art approaches from the operator's viewpoint for handling the stochastic behavior of renewable sources is presented, and the effect of different electricity market schemes and relevant optimization methods to mitigate the variations of renewable energy sources are discussed.
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Demand response potential of ventilation systems in residential buildings
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Hour-Ahead Price Based Energy Management Scheme for Industrial Facilities
TL;DR: The results show that the proposed DR scheme is capable of balancing the energy demand and reducing energy costs while satisfying production targets, and the artificial neural network based price forecasting model to forecast unknown future prices to support global time horizon optimization.
Journal ArticleDOI
Technology, business model, and market design adaptation toward smart electricity distribution: Insights for policy making
TL;DR: In this paper, the authors investigated the complex evolution and company and market design adaptation of the electricity distribution industry to smart grid technologies and related business models through nine multi-stakeholder workshops, held in two EU member states (Germany and Portugal).
Journal ArticleDOI
Flexibility management model of home appliances to support DSO requests in smart grids
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References
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Journal ArticleDOI
Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid
Amir-Hamed Mohsenian-Rad,Vincent W. S. Wong,Juri Jatskevich,Robert Schober,Alberto Leon-Garcia +4 more
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
Peter Palensky,Dietmar Dietrich +1 more
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
Vehbi Cagri Gungor,Dilan Sahin,Taskin Kocak,Salih Ergut,Concettina Buccella,Carlo Cecati,Gerhard P. Hancke +6 more
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.
Book
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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