Abstract
With the construction and development of smart power grid, the power system is evolving into the system of accumulating mass of data and information calculation. The advanced analysis, the operation of security and economic and the system control are becoming difficult with the expanding scale and complicating structure of power system. The existing computing platform of centralized power system does not meet the above requirements, which has become one of the main bottlenecks in the achievement of smart power grid. Cloud computing just can integrate the existing calculating resources of power system and provide the powerful capacity of calculation and storage. This paper first simply introduced the characteristic of smart power grid and cloud computing. Then the smart power grid cloud is put forward, and a further analysis and research on its composition, system structure, technology construction and application in smart power grid is done.
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References
Attiya H, Hamam Y (2004) Two phase algorithm for load balancing in heterogeneous distributed systems. In: Proceedings of the 12th Euromicro conference on parallel, distributed and network-based processing: PDP’04, Noisy-Le-Grand, 11–13 Feb 2004, pp 434–439
Chen Kang, Zheng Wei-Min (2009) Cloud computing: system instances and current research [J]. J Softw 20(5):1337–1348 (in Chinese)
Chen Shu-yong, Song Shu-fang, Li Lan-xin, Shen Jie (2009) Survey on smart grid technology [J]. Power Syst Technol 33(8):1–7 (in Chinese)
Cui Chunlei, Fang Yanjun (2011) Application of AGA in dynamic load dispatch [J]. Electr Power Autom Equip 31(1):67–70 (in Chinese)
Fan Tao, Tan Wen, Ma Chenhui (2011) Research of dynamic load distribution based on starting time [J]. Electr Power Sci Eng 27(10):17–20 (in Chinese)
Hu Jun-yi, Fang Xin-yan (2006) Application of grid technology to accident forecast for power systems [J]. East China Electr Power 34(11):8–11 (in Chinese)
Luo Jun-zhou, Jin Jia-hui, Song Ai-bo, Dong Fang (2011) Cloud computing: architecture and key technologies [J]. J Commun 32(7):3–21 (in Chinese)
Rittinghouse JW, Ransome JF (2010) Cloud computing: implementation, management, and security. CRC Press, Boca Raton
Vaquero LM, Rodero-Merino L, Caceres J et al (2009a) A break in the clouds: towards a cloud definition. ACM SIGCOMM Comput Commun Rev 39(1):50–55
Vaquero LM, Rodero-Merino L, Caceres J (2009b) A break in the clouds: towards a cloud definition. ACM SIGCOMM Comp Commun Rev 39(1):50–55
Wang Dewen, Song Yaqi, Zhu Yongli (2010) Information platform of smart grid based on cloud computing [J]. Autom Electr Power Syst 34(15):1–8 (in Chinese)
Yang Weidong, Xu Zheng, Han Zhenxiang (2000) Review and objective of research on power system collapse prevention [J]. Autom Electr Power Syst 24(1):7–12 (in Chinese)
Yu Yixin, Luan Wenpeng (2009) Smart grid [J]. Power Syst Clean Energy 25(1):7–11 (in Chinese)
Zhang Wei, Shen Chen, Lu Qiang (2004) Framework of the power grid system part one development of power network monitoring from centralized to distributed processing [J]. Autom Electr Power Syst 28(22):1–4 (in Chinese)
Zhao Junhua, Wen Fushuan, Xue Yusheng, Zhenzhi (2010) Cloud computing: implementing an essential computing platform for future power systems [J]. Autom Electr Power Syst 34(15):1–8 (in Chinese)
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Zheng, L., Zhang, B., Wang, Lj. (2013). Application of Cloud Computing in the Development of Smart Power Grid. In: Dou, R. (eds) Proceedings of 2012 3rd International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33012-4_75
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DOI: https://doi.org/10.1007/978-3-642-33012-4_75
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