The contributions of cloud technologies to smart grid

Renewable and Sustainable Energy Reviews

Volumn 59, Issue , 2016, Pages 1326-1331

  Fang, Baling ^a   Yin, Xiang ^a   Tan, Yi ^a   Li, Canbing ^a   Gao, Yunpeng ^a   Cao, Yijia ^a   Li, Jianliang ^b  

^a HUNAN UNIVERSITY   (China)

^b NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

Author keywords

Cloud computing; Cloud security; Cloud storage; Power system; Smart grid

Indexed keywords

CLOUD SECURITY; DISASTER PREVENTION; DISASTERS; ELECTRIC POWER SYSTEM SECURITY; ELECTRIC POWER TRANSMISSION NETWORKS;

ARTIFICIAL SYSTEMS; CLOUD SECURITIES; CLOUD STORAGES; CLOUD TECHNOLOGIES; CLOUD-COMPUTING; POWER; POWER SYSTEM; SMART GRID; SOCIAL PROBLEMS; STORAGE CLOUDS;

SMART POWER GRIDS;

EID: 84956997283     PISSN: 13640321     EISSN: 18790690     Source Type: Journal    
DOI: 10.1016/j.rser.2016.01.032     Document Type: Review

References (79)

1. B. Shneiderman Computer science. Science 2.0 Science 319 2008 1349 1350
2. Y.S. Shun The brief review of cloud computing technologies Inf Commun Technol 4 2010 29 35
3. Mell P, Grance T. The NIST Definition of Cloud Computing; 2011 [accessed July 2014] Available at: (http://csrc.nist.gov/publications/nistpubs/800-145/SP800-145.pdf).
4. S. Rhea, C. Wells, P. Eaton, D. Geels, B. Zhao, H. Weatherspoon, and et al. Maintenance-free global data storage IEEE Internet Comput 5 2001 40 49
5. E. Bitar, P.P. Khargonekar, and K. Poolla Systems and control opportunities in the integration of renewable energy into the smart grid Proc of IFAC World Congress 2011 4927 4932
6. S.A. Arefifar, Y.A.R.I. Mohamed, and T.H.M. EL-Fouly Comprehensive operational planning framework for self-healing control actions in smart distribution grids IEEE Trans Power Syst 28 2013 4192 4200
7. Gharavi H, Ghafurian R. Smart grid: the electric energy system of the future; 2011.
8. Collaborative SGC. Smart grid economic and environmental benefits. A Review and Synthesis of Research on Smart Grid Benefits and Costs; 2013.
9. Huber D, Knudsen S, Taylor Z. Environmental impacts of smart grid; 2011.
10. X. Fang, S. Misra, G.L. Xue, and D.J. Yang Managing smart grid information in the cloud: opportunities, model, and applications IEEE Netw 26 2012 32 38
11. Rucker P. Obama details recovery plan; 2009 [accessed July 2014] Available at: (http://www.washingtonpost.com/wp-dyn/content/article/2009/01/24/AR2009012400661.html).
12. Green paper: a European strategy for sustainable, competitive and secure energy; 2006 [accessed September 2014]. Available at: (http://europa.eu/documents/comm/green-papers/pdf/com2006-105-en.pdf).
13. Deng H, Zhao W. Development status and analysis of smart grid home and abroad; 2016 [accessed January, 2016]. Available at: (http://www.chinaqking.com/yc/2016/549719.html).
14. J. Popeanga Cloud computing and smart grids Database Syst J 3 2012 57 66
15. Amazon. Unlimited Cloud Storage from Amazon; 2015 [accessed 26.12.15] Available at: (https://www.amazon.com/clouddrive/home).
16. J. Zhao, F. Wen, Y. Xu, and Z. Lin Cloud computing: implementing an essential computing platform for future power systems Autom Electr Power Syst 34 2010 1 8
17. Xin Y, Baldine I, Chase J, Beyene T, Parkhurst B, Chakrabortty A. Virtual smart grid architecture and control framework. In: Proceedings of the IEEE international conference on smart grid communications (SmartGridComm); 2011. p. 1-6.
18. Joonsang B, Quang Hieu V, Jones A, Al Mulla S, Chan Yeob Y. Smart-frame: a flexible, scalable, and secure information management framework for smart grids. In: Proceedings of the international conference for internet technology and secured transactions; 2012. p. 668-73.
19. X. Fang, D.J. Yang, and G.L. Xue Ev.olving smart grid information management cloudward: a cloud optimization perspective IEEE Trans Smart Grid 4 2013 111 119
20. K. Zhang, and Y. He Research on power simulation system based on cloud computing Mod Electr Power 2012 29
21. Chen J, Qin C, Liu N, Qiu W, Kang J, Chen Y, et al. Power system analysis and simulation based on cloud computing platform 1; 2014. p. 29-38.
22. Li LL, Liu LX, Yang CW, Li ZG. The comprehensive evaluation of smart distribution grid based on cloud model. In: Proceedings of the international conference on future electrical power and energy system. Pt A 17; 2012. p. 96-102.
23. X.K. Jin, Z.J. He, and Z.Q. Liu Multi-agent-based cloud architecture of smart grid Energy Procedia 12 2011 60 66
24. Sivapragash C, Thilaga SR, Kumar SS. Advanced cloud computing in smart power grid. In: Proceedings of the IET Chennai 3rd international on sustainable energy and intelligent systems (SEISCON 2012); 2012. p. 1-6.
25. M. Yigit, V.C. Gungor, and S. Baktir Cloud computing for smart grid applications Comput Netw 70 2014 312 329
26. S. Bera, S. Misra, and J.J.P.C. Rodrigues Cloud computing applications for smart grid: a survey IEEE Trans Parallel Distrib Syst 26 2015 1477 1494
27. Zheng L, Chen S, Hu Y, He J. Applications of cloud computing in the smart grid. In: Proceedings of the 2nd international conference on artificial intelligence, management science and electronic commerce (AIMSEC), 2011. 2011:203-206.
28. D.S. Markovic, D. Zivkovic, I. Branovic, R. Popovic, and D. Cvetkovic Smart power grid and cloud computing Renew Sust Energ Rev 24 2013 566 577
29. Rajeev T, Ashok S. Operational flexibility in smart grid through cloud computing. In: Proceedings of the international symposium on cloud and services computing (ISCOS); 2012. p. 21-4.
30. Simmhan Y, Kumbhare AG, Baohua C, Prasanna V. An analysis of security and privacy issues in smart grid software architectures on clouds. In: Proceedings of the IEEE international conference on cloud computing (CLOUD); 2011. p. 582-9.
31. Xu C, Zhao F, Wang Z, Lin X, He S, Shao C. Design of cloud computing architecture for power system analysis. TENCON 2013 - IEEE Region 10 Conference (31194); 2013. p. 1-4.
32. Kim H, Kim Y-J, Yang K, Thottan M. Cloud-based demand response for smart grid: architecture and distributed algorithms. In: Proceedings of the IEEE international conference on smart grid communications (SmartGridComm); 2011. p. 398-403.
33. Mohsenian-Rad AH, Leon-Garcia A. Coordination of cloud computing and smart power grids. In: Proceedings of the first IEEE international conference on smart grid communications (SmartGridComm); 2010. p. 368-72.
34. X. Fang, S. Misra, G. Xue, and D. Yang Smart Grid; The new and improved power grid: a survey IEEE Commun Surv Tutor 14 2012 944 980
35. Zheng L, Hu Y, Yang C. Design and Research on Private Cloud Computing Architecture to Support Smart Grid. In: Proceedings of the international conference onintelligent human-machine systems and cybernetics (IHMSC); 2011 2. p. 159-61.
36. F. Luo, Z.Y. Dong, Y. Chen, Y. Xu, K. Meng, and K.P. Wong Hybrid cloud computing platform: The next generation IT backbone for smart grid IEEE Power Energy Soc Gen Meet 2012 1 7
37. Rusitschka S, Eger K, Gerdes C. Smart grid data cloud: a model for utilizing cloud computing in the smart grid domain. In: Proceedings of the IEEE 1st international conference on smart grid communications (Smartgridcomm); 2010. p. 483-8.
38. Foundation O. OpenStack Architecture Design Guide; 2015 [accessed April 2015]. Available at: (http://docs.openstack.org/arch-design/content/storage-focus.html).
39. Bitzer B, Gebretsadik ES. Cloud computing framework for smart grid applications. Proceedings of the 48th international universities power engineering conference (UPEC); 2013. p. 1-5.
40. Mayilvaganan M, Sabitha M. A cloud-based architecture for Big-Data analytics in smart grid: A proposal. In: Proceedings of the IEEE international conference oncomputational intelligence and computing research (ICCIC); 2013. p. 1-4.
41. A. Bereş, B. Genge, and I. Kiss A brief survey on smart grid data analysis in the cloud Procedia Technol 19 2015 858 865
42. D. Wang Basic framework and key technology for a new generation of data center in electric power corporation based on cloud computation Autom Electr Power Syst 36 2012 67 71
43. Lv HL, Wang FY, Yan AM, Cheng YL. Design of cloud data warehouse and its application in smart grid. In: Proceedings of the international conference on automatic control and artificial intelligence (ACAI 2012); 2012. p. 849-52.
44. Jiang Y, Guo X, Li C, Wen H, Lei C, Rui Z. An efficient and secure search database scheme for cloud computing in smart grid. In: Proceedings of the IEEE conference on communications and network security (CNS); 2013. p. 413-4.
45. Rusitschka S, Eger K, Gerdes C. Smart grid data cloud: a model for utilizing cloud computing in the smart grid domain. In: Proceedings of the first IEEE international conference on smart grid communications (SmartGridComm); 2010. p. 483-8.
46. J.-H. Zhang, and N. Zhang Cloud computing-based data storage and disaster recovery Comput Sci Educ 2011 629 632
47. L. Li, Q. Xie, R. Yuan, J. Lin, F. Di, and D. Li Optimization analysis and design of cloud disaster backup system for power dispatching Autom Electr Power Syst 2012 36
48. Alcaraz C, Agudo I, Nunez D, Lopez J. Managing incidents in smart grids à la Cloud. In: Proceedings of the IEEE third international conference on cloud computing technology and science (CloudCom); 2011. p. 527-31.
49. Hong I, Byun J, Park S. Cloud computing-based building energy management system with zigbee sensor network. In: Proceedings of the sixth international conference on innovative mobile and internet services in ubiquitous computing (IMIS); 2012. p. 547-51.
50. Liangrui T, Jiale L, Runze W. Synergistic model of power system cloud computing based on Mobile-agent. In: Proceedings of the 3rd IEEE international conference on network infrastructure and digital content (IC-NIDC); 2012. p. 222-6.
51. Laboratory LBN. Best practices for data center energy efficiency-Chengdu, China 2012; 2013 [accessed August 2014]. Available at: (http://datacenters.lbl.gov/sites/all/files/dc-ee-dcd-06-25-2013.pdf).
52. D. Wang, Y. Song, and Y. Zhu Cloud-based Information Platform for Smart Grid Automation of Electr Power Syst 34 2010 7 12
53. T. Li How to build the virtual system in power enterprise information system Electr Power Inf Technol 2009 7
54. OConnor G. Moores law gives way to Bezoss law; 2014 [accessed January 2015]. Available at: (https://gigaom.com/2014/04/19/moores-law-gives-way-to-bezoss-law/).
55. Maheshwari K, Birman K, Wozniak J, Zandt DV. Evaluating cloud computing techniques for smart power grid design using parallel scripting. In: Proceedings of the 13th IEEE/ACM international symposium on cluster, cloud and grid computing (CCGrid); 2013. p. 319-26.
56. K. Maheshwari, M. Lim, L. Wang, K. Birman, and R. van Renesse Toward a reliable, secure and fault tolerant smart grid state estimation in the cloud. Innovative smart grid technologies (ISGT) 2013 IEEE PES 2013 1 6
57. Huang Q, Zhou M, Zhang Y, Wu Z. Exploiting cloud computing for power system analysis. In: Proceedings of the international conference on power system technology (POWERCON); 2010. p. 1-6.
58. L. QI, M. AI, and J.-H. Wang Study of hadoop based power quality monitoring cloud model Electr Power Inf Commun Technol 2014 12
59. Y. Simmhan, S. Aman, A. Kumbhare, R.Y. Liu, S. Stevens, Q.Z. Zhou, and et al. Cloud-based software platform for big data analytics in smart grids Comput Sci Eng 15 2013 38 47
60. P.D. Diamantoulakis, V.M. Kapinas, and G.K. Karagiannidis Big data analytics for dynamic energy management in smart grids Big Data Res 2015
61. J. Baek, Q.-H. Vu, J. Liu, X. Huang, and Y. Xiang A secure cloud computing based framework for big data information management of smart grid IEEE Trans Cloud Comput 2014 1
62. Miller R. Google Uses About 900,000 Servers; 2011 [accessed August 2014]. Available at: ((http://www.datacenterknowledge.com/archives/2011/08/01/report-google-uses-about-900000-servers/)).
63. Ge L, Wang S, Ge X. Framework design of cloud computing technology application in power system transient simulation. In: Proceedings of the IEEE PES Asia-Pacific power and energy engineering conference (APPEEC); 2014. p. 1-6.
64. M. Panoiu, and F. Neri Open research issues on modeling, simulation and optimization in electrical systems WSEAS Trans Syst 2014 13
65. Jeff B. New Amazon EC2 instance type - the cluster compute instance. 2010; [accessed May 2015]. Available at: (https://aws.amazon.com/blogs/aws/the-new-amazon-ec2-instance-type-the-cluster-compute-instance/).
66. Jon B. $1,279-per-hour, 30,000-core cluster built on Amazon EC2 cloud. 2011; [accessed May 2015]. Available at: (http://arstechnica.com/business/2011/09/20/30000-core-cluster-built-on-amazon-ec2-cloud/).
67. Goswami AK, Monalisa. A heuristic approach to solve multistage transmission expansion planning. In: Proceedings of the third international conference on computational intelligence and information technology CIIT; 2013. p. 105-12.
68. J.M. Ling, and A.S. Khuong Optimal planning for photovoltaic system using a new heuristic method Renew Sustain Energy II, Pts 1-4 512-515 2012 119 123
69. K.-H. Lee, Y.-J. Lee, H. Choi, Y.D. Chung, and B. Moon Parallel data processing with MapReduce ACM SIGMOD Record 40 2012 11
70. J. Ekanayake, H. Li, B. Zhang, T. Gunarathne, S.-H. Bae, J. Qiu, and et al. Twister: A Runtime for Iterative MapReduce 2010 810
71. J. Ekanayake, and G. Fox High performance parallel computing with clouds and cloud technologies Lect Notes Inst Comput Sci Soc Inf Telecommun Eng 34 2010 20 38
72. K. Kaur, and N. Kumar Smart grid with cloud computing Archit Secur Issues Def Mech 2014 1 6
73. G. Lin, S. he, H. Huang, J. Wu, and W. Chen Access control security model based on behavior in cloud computing environment J Commun 2012 33
74. Wang Y, Deng S, Lin W-M, Zhang T, Yu Y. Research of electric power information security protection on cloud security. In: Proceedings of the 2010 international conference on power system technology (POWERCON); 2010. p. 1-6.
75. C.M. Rong, S.T. Nguyen, and M.G. Jaatun Beyond lightning: a survey on security challenges in cloud computing Comput Electr Eng 39 2013 47 54
76. Tan G, Xu J, Zhao L, Liu H, Wang Y. A safety design of electric cloud computing platform. In: Proceedings of the fourth international conference on computational and information sciences (ICCIS); 2012. p. 868-71.
77. Alge W. Firewalls in the cloud era: they improve the cloud and the cloud improves them; 2013 [accessed December 2014]. Available at: (http://www.cloudcomputing-news.net/news/2013/feb/13/firewalls-cloud-era-they-improve-cloud-and-cloud-improves-them/).
78. Pokharel M, Seulki L, Jong Sou P. Disaster recovery for system architecture using cloud computing. In: Proceedings of the 10th IEEE/IPSJ International Symposium on Applications and the Internet (SAINT), 2010. 2010:304-7.
79. Yuan R-C, Li L-X, Li Q, Di F-C, Yu-kun Z. The virtual storage technology and its application in EMS integrated backup system. 2012 International conference on future electrical power and energy systems ICFEPES; 2012. p. 9.