Title :
Cloud computing framework for smart grid applications
Author :
Bitzer, Berthold ; Gebretsadik, Enyew Sileshi
Author_Institution :
South Westphalia Univ. of Appl. Sci., Soest, Germany
Abstract :
The future power grid expected to accommodate and integrates all new kinds of distributed renewable energy generations, intelligent energy management systems to accommodate the ever growing energy demand. This fact leads the trend of power grid to shift to the Smart Grid that uses advanced communication, smart meters, sensors and information technologies to create an automated, intelligent and widely distributed energy delivery network. A huge amount of row data is collected by smart meters and sensors from the end user and different part of the network to the computation system. Subsequently, this considerably big amount of data must be processed, analyzed and stored in a cost effective ways. In this manner, an enormous pool of computing resources and storage must be provided to compute this vast amount of data. Researchers have been suggesting different solutions. A distributed and parallel computing techniques for future power system, Grid computing [1], fast parallel processing of the mass data in cloud computing [2], and smart grid control software in cloud computing architecture [3]. This paper discussed the feasibility study of the handling of monitoring of renewable energy in smart grid on cloud computing framework retaining smart grid security, analysis of the availability of Energy management software tools in smart grid using cloud computing, design of a demonstrator and realization of demonstration for further education purpose to utilize the advantage of cloud computing distributed and scalable nature.
Keywords :
cloud computing; distributed algorithms; distributed power generation; energy management systems; parallel algorithms; power engineering computing; smart power grids; advanced communication; cloud computing architecture; cloud computing framework; distributed computing techniques; distributed renewable energy generations; energy delivery network; energy demand; energy management software tools availability; fast parallel processing; grid computing; information technologies; intelligent energy management systems; parallel computing techniques; power grid; renewable energy monitoring; sensors; smart grid applications; smart grid control software; smart grid security; smart meters; Cloud computing; Educational institutions; Energy management; Monitoring; Smart grids; Cloud Computing; Smart Grid; distributed computing;
Conference_Titel :
Power Engineering Conference (UPEC), 2013 48th International Universities'
Conference_Location :
Dublin
DOI :
10.1109/UPEC.2013.6714855