A proposed architecture for soft computing in smart grid as a cloud-based service

Smart Grid empowers the electrical utilities improve the efficiency and the availability of the power system while constantly monitoring, controlling and managing the demands of customers. Computational requirements for Smart Grid applications can be met by utilizing the Cloud Computing model. Collecting, storing and analyzing large amount of data, which can be very varied and produced at high rates will be done in a distributed manner. The scalable and elastic resources of a Cloud infrastructure not only satisfy these needs but also offer interesting properties to utility companies (i.e., elasticity, scalability, pay-as-you-go model, etc.) and make a reliable, robust, and efficient Smart Grid environment. In this paper, we present the opportunities and challenges of using Cloud Computing in power grid Applications and propose a Cloud-based solution for information requirements of Smart Grid.

[1]  Marco Aiello,et al.  Service Orientation and the Smart Grid state and trends , 2012, Service Oriented Computing and Applications.

[2]  Young-Jin Kim,et al.  Cloud-based demand response for smart grid: Architecture and distributed algorithms , 2011, 2011 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[3]  Wei-Tek Tsai,et al.  Service-Oriented Cloud Computing Architecture , 2010, 2010 Seventh International Conference on Information Technology: New Generations.

[4]  William H. Dutton,et al.  Clouds, big data, and smart assets: Ten tech-enabled business trends to watch , 2010 .

[5]  Chao-Tung Yang,et al.  Implementation of a Smart Grid System with SOA-based Service on Cloud , 2011, SUComS.

[6]  Sebnem Rusitschka,et al.  Smart Grid Data Cloud: A Model for Utilizing Cloud Computing in the Smart Grid Domain , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[7]  Paul Hofmann,et al.  Cloud computing and electricity , 2010, Commun. ACM.

[8]  P. Mell,et al.  The NIST Definition of Cloud Computing , 2011 .

[9]  Vehbi C. Gungor,et al.  Cloud Computing for Smart Grid applications , 2014, Comput. Networks.

[10]  Viktor K. Prasanna,et al.  On Using Cloud Platforms in a Software Architecture for Smart Energy Grids , 2010 .

[11]  Janina Popeang Cloud Computing and Smart Grids , 2012 .

[12]  BaoYi Wang,et al.  Research on Data Integration of Smart Grid Based on IEC61970 and Cloud Computing , 2012 .

[13]  Pengwei Du,et al.  A multi-layer, hierarchical information management system for the smart grid , 2011, 2011 IEEE Power and Energy Society General Meeting.

[14]  Sudip Misra,et al.  Cloud Computing Applications for Smart Grid: A Survey , 2015, IEEE Transactions on Parallel and Distributed Systems.

[15]  Zhijian QU,et al.  Big data compression processing and verification based on Hive for smart substation , 2015 .

[16]  Shimon Awerbuch,et al.  The Virtual Utility , 1997 .

[17]  Xue Liu,et al.  D-Pro: Dynamic Data Center Operations With Demand-Responsive Electricity Prices in Smart Grid , 2012, IEEE Transactions on Smart Grid.

[18]  Ling Zheng,et al.  Applications of cloud computing in the smart grid , 2011, 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC).

[19]  Hamed Mohsenian Rad,et al.  Energy and Performance Management of Green Data Centers: A Profit Maximization Approach , 2013, IEEE Transactions on Smart Grid.

[20]  A. M. Yan,et al.  Design of cloud data warehouse and its application in smart grid , 2012 .

[21]  Janina Popeanga ‘Shared-Nothing’ Cloud Data Warehouse Architecture , 2015 .

[22]  Zeyar Aung Database Systems for the Smart Grid , 2013 .

[23]  Rose Qingyang Hu,et al.  Scalable Distributed Communication Architectures to Support Advanced Metering Infrastructure in Smart Grid , 2012, IEEE Transactions on Parallel and Distributed Systems.

[24]  Ivan Rodero,et al.  Cloud-Based Data Analytics Framework for Autonomic Smart Grid Management , 2014, 2014 International Conference on Cloud and Autonomic Computing.