Topic
Smart grid
About: Smart grid is a research topic. Over the lifetime, 37536 publications have been published within this topic receiving 627844 citations. The topic is also known as: intelligent grid.
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TL;DR: In this paper, a literature survey of flexible ac transmission systems (FACTSs) and voltage-source converters, with smart dynamic controllers, is presented to improve the power quality and ensure efficient energy utilization and energy management in smart grids with renewable energy sources.
Abstract: In the last two decades, emerging use of renewable and distributed energy sources in electricity grid has created new challenges for the utility regarding the power quality, voltage stabilization and efficient energy utilization. Power electronic converters are extensively utilized to interface the emerging energy systems (without and with energy storage) and smart buildings with the transmission and distribution systems. Flexible ac transmission systems (FACTSs) and voltage-source converters, with smart dynamic controllers, are emerging as a stabilization and power filtering equipment to improve the power quality. Also, distributed FACTSs play an important role in improving the power factor, energy utilization, enhancing the power quality, and ensuring efficient energy utilization and energy management in smart grids with renewable energy sources. This paper presents a literature survey of FACTS technology tools and applications for power quality and efficient renewable energy system utilization.
208 citations
TL;DR: The evolution of the “smart city” term and the most representative characteristics of it are presented and various alternative terms that were proposed to describe the multiple characteristics of the future cities are analyzed.
207 citations
10 May 2010
TL;DR: A novel market-based mechanism based on the Continuous Double Auction and automatically manages the congestion within the system by pricing the flow of electricity and introduces mechanisms to ensure the system can cope with unforseen demand or increased supply capacity in real time.
Abstract: The vision of the Smart Grid includes the creation of intelligent electricity supply networks to allow efficient use of energy resources, reduce carbon emissions and are robust to failures. One of the key assumptions underlying this vision is that it will be possible to manage the trading of electricity between homes and micro-grids while coping with the inherent real-time dynamism in electricity demand and supply. The management of these trades needs to take into account the fact that most, if not all, of the actors in the system are self-interested and transmission line capacities are constrained. Against this background, we develop and evaluate a novel market-based mechanism and novel trading strategies for the Smart Grid. Our mechanism is based on the Continuous Double Auction (CDA) and automatically manages the congestion within the system by pricing the flow of electricity. We also introduce mechanisms to ensure the system can cope with unforseen demand or increased supply capacity in real time. Finally, we develop new strategies that we show achieve high market efficiency (typically over 90%).
207 citations
TL;DR: A semi-parametric approach based on generalized additive models theory is suggested to model electrical load over more than 2200 substations of the French distribution network, and this at both short and middle term horizons.
Abstract: Electricity load forecasting faces rising challenges due to the advent of innovating technologies such as smart grids, electric cars and renewable energy production. For distribution network managers, a good knowledge of the future electricity consumption stands as a central point for the reliability of the network and investment strategies. In this paper, we suggest a semi-parametric approach based on generalized additive models theory to model electrical load over more than 2200 substations of the French distribution network, and this at both short and middle term horizons. These generalized additive models estimate the relationship between load and the explanatory variables: temperatures, calendar variables, etc. This methodology has been applied with good results on the French grid. In addition, we highlight the fact that the estimated functions describing the relations between demand and the driving variables are easily interpretable, and that a good temperature prediction is important.
206 citations
TL;DR: In this paper, a mathematical model is devised to minimize daily network losses via applying hourly reconfigurations, which is a mixed integer second-order cone programming problem and is solved via MOSEK solver.
Abstract: Proliferation of renewable energy resources in distribution networks has captured distribution companies' attention towards more active management tools. Thanks to the smart grid paradigm, hourly network reconfiguration, which is still among immature ideas, can bring the activeness required to handle fluctuating output of renewable resources. The aim of this study is to analyze the worthiness of the hourly reconfiguration in the presence of renewable energy resources. For doing so, a mathematical model is devised to minimize daily network losses via applying hourly reconfigurations. The model is a mixed integer second-order cone programming problem and is solved via MOSEK solver. The electrical demand variations as well as renewable power generation fluctuations during a day are taken into account. The proposed method is applied to the Baran 33-bus system and the results including a great deal of sensitivity analyses on key parameters are presented and discussed.
206 citations