4,668 research outputs found

    Smart Microgrids: Overview and Outlook

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    The idea of changing our energy system from a hierarchical design into a set of nearly independent microgrids becomes feasible with the availability of small renewable energy generators. The smart microgrid concept comes with several challenges in research and engineering targeting load balancing, pricing, consumer integration and home automation. In this paper we first provide an overview on these challenges and present approaches that target the problems identified. While there exist promising algorithms for the particular field, we see a missing integration which specifically targets smart microgrids. Therefore, we propose an architecture that integrates the presented approaches and defines interfaces between the identified components such as generators, storage, smart and \dq{dumb} devices.Comment: presented at the GI Informatik 2012, Braunschweig Germany, Smart Grid Worksho

    Attributes of Big Data Analytics for Data-Driven Decision Making in Cyber-Physical Power Systems

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    Big data analytics is a virtually new term in power system terminology. This concept delves into the way a massive volume of data is acquired, processed, analyzed to extract insight from available data. In particular, big data analytics alludes to applications of artificial intelligence, machine learning techniques, data mining techniques, time-series forecasting methods. Decision-makers in power systems have been long plagued by incapability and weakness of classical methods in dealing with large-scale real practical cases due to the existence of thousands or millions of variables, being time-consuming, the requirement of a high computation burden, divergence of results, unjustifiable errors, and poor accuracy of the model. Big data analytics is an ongoing topic, which pinpoints how to extract insights from these large data sets. The extant article has enumerated the applications of big data analytics in future power systems through several layers from grid-scale to local-scale. Big data analytics has many applications in the areas of smart grid implementation, electricity markets, execution of collaborative operation schemes, enhancement of microgrid operation autonomy, management of electric vehicle operations in smart grids, active distribution network control, district hub system management, multi-agent energy systems, electricity theft detection, stability and security assessment by PMUs, and better exploitation of renewable energy sources. The employment of big data analytics entails some prerequisites, such as the proliferation of IoT-enabled devices, easily-accessible cloud space, blockchain, etc. This paper has comprehensively conducted an extensive review of the applications of big data analytics along with the prevailing challenges and solutions

    Communication requirements for risk-limiting dispatch in smart grid

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    The existing power grid infrastructures in many countries are primarily based on technologies that have been developed as centralized systems in which power is generated at major power plants and distributed to consumers through transmission and distribution lines. In the recent decade, with the increasing penetration of renewable energy sources such as solar and wind power, and smart electrical appliances, the centralized model may no longer hold, and the supply and demand for electricity become more dynamic. Moreover, the latest developed information and communication technologies (ICT) and power electronic technologies could enhance the efficiency and performance of power system operations. Recently, concerns with global warming have prompted many countries to announce research programs on smart grid, which is the transformation of the traditional electric power grid into an energy-efficient and environmentally friendly grid by the integration of ICT, power electronic, storage and control technologies. With the smart grid, there is an opportunity for a new operating paradigm that recognizes the changing structures of the power grid with renewable generation, and the high-resolution data, high speed communications, and high performance computation available with the advanced information infrastructure. A new operating paradigm, namely, risk-limiting dispatch, is proposed for the smart grid in this paper. In addition, we have identified the requirements of a communication infrastructure to support this new operating paradigm. Ā©2010 IEEE.published_or_final_versionThe IEEE International Conference on Communications Workshops (ICC 2010), Capetown, South Africa, 23-27 May 2010. In Proceedings of ICC, 2010, p. 1-

    Smart Grid Technologies in Europe: An Overview

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    The old electricity network infrastructure has proven to be inadequate, with respect to modern challenges such as alternative energy sources, electricity demand and energy saving policies. Moreover, Information and Communication Technologies (ICT) seem to have reached an adequate level of reliability and flexibility in order to support a new concept of electricity networkā€”the smart grid. In this work, we will analyse the state-of-the-art of smart grids, in their technical, management, security, and optimization aspects. We will also provide a brief overview of the regulatory aspects involved in the development of a smart grid, mainly from the viewpoint of the European Unio
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