Application and Architecture of Power Dispatching & Distribution System Using Big Data Technology

Abstract:

As the new energy resources including scenery storage have been well accessed into power grid, the operation process of power dispatching and distribution involves the massive, multi type, high complex data which contain the real-time data, plan data, warning and monitoring data, environmental data. Nowadays, the application of big data focused on single analysis of structured and semi-structured data. And the deep learning analysis hasn’t been concerned, transforming power gird data into knowledge is the inevitable trend in the development of smart grid. In this paper, the power dispatching and distribution data were analyzed in detail from the data source, data characteristics, the trend of application etc. According to the new requirement of smart grid now and in the future, the potential application with big data technology was studied in the field of smart grid and the reference opinions was provide by intelligent analysis and decision which are accurate, security, economic, comprehensive optimal features. Finally, to meeting requirement of the power dispatching & distribution data analysis, power dispatching and distribution data system architecture was designed which is an integrated software/hardware, storage-computation-communication trinity. And it was proved that power dispatching and distribution data system architecture have strong supporting, service and safety ability.

• Periodical: Advanced Materials Research (Volumes 1070-1072)
• Pages: 1425-1429
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1070-1072.1425
• Online since: December 2014
• Authors: Rong Chang Yuan*, Hu Yan, Xiao Ming Zhou, Fang Chun Di, Li Xin Li
• Keywords: Application, Architecture, Big Data, Dispatching, Distribution, Power, Smart Grid (SG)

References

[1] Sun Bolin．Big data and its application in power industry[J]．electric times, 2013, (8): 18－23.

[2] Zhao Yunshan, Liu Huanhuan．Research on Application of Big Data　Technique in Electricity Power Industry[J]．Telecommunications Science, 2014, 30(1): 57-62.

[3] Stephen Witt．Data Mangement & Analytics for Utilities 2014[EB/OL]．http: /www. smartgridupdate. com.

[4] SONG Yaq, ZHOU Guoliang, ZHU Yongli．Present Status and Challenges of Big Data Processing in Smart Grid [J]．Power System Technology, 2013, 37(4): 927-935.

[5] YAN Long-chuan, LI Ya-x, LI Bin-chen, et al．Opportunity and Challenge of Big Data for the Power Industry [J]．Electric Power IT, 2013, 11(4) 1-3.

[6] LI Zen-yuan, LI Bao-ju, Wang Ze-yi．Research on Influence of Big Data Technology for the Future Development of the Power Grid[J]．Jilin Electric Power, 2014, 42(1): 10-12.

[7] CHEN Chao, ZHANG Shun⁃shi, SHANG Shou⁃wei, et al．Research on power industry data application based on big data [J]．Modern Electronics Technique, 2013, 36(24): 8-11.

[8] Information Committee of Chinese Institute of Electrical Engineering．The developing white paper of Chinese Grid Big Data [M ]．Beijing: Chinese power press, 2013.

[9] State grid ICT Inc. ．report of big data in smart grid [EB/OL]．2012-07[2013-02]．http: /www. sgit. sgcc. com. cn/newzxzx/gsxw/07/277345. shtml.

[10] Beijing Jiaotong University．Project: big data analysis and innovative engineering between main grid and distribution grid. [EB/OL]．2013-11[2013-11]．http: /ee. bjtu. edu. cn/news/display. php?id=1486.

[11] China Electric Power Research Institute. Report of big data technology [EB/OL]．2014-02[2014-02]．http: /www. epri. sgcc. com. cn/xm/ynxw/201402/t20140212_1385812. html.

[12] Kezunovic M, Xie L, Grijalva S．The role of big data in improving power system operation and protection [C]．Proceedings of IREP Symposium: Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid, Rethymno, Greece, 2013.

DOI: 10.1109/irep.2013.6629368

[13] Franks B．Taming the Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics [M]．Indiana: John Wiley & Sons, 2012: 55-57.

DOI: 10.1002/9781119204275

[14] Viktor M S, Kenneth C．Big Data: A Revolution That Will Transform How We Live, Work and Think [M]．England: John Murray Publishers, 2013: 133-135.

[15] Data Management & Data Analytics | Power．http: /www. ge-ip. com/data-management-data-analytics-power.

[16] Elena G U, Florina C P, Anca A, et al．Perspectives on Big Data and Big Data Analytics [J]．Database Systems, 2012, 3(4): 3-12.

[17] The Big Data Experts Committee of Chinese Computer Science Institute．The developing white paper 2013 of Chinese Industry and Technology Big data[EB/OL]．Chinese Computer Science Institute, 2013．http: /www. ccf. org. cn/sites/ccf/ccfziliao. jsp?contentIc=2774793649105.

[18] CAO Jun-Wei, WAN Yu-Xin, TU Guo-Yu, etal．Information System Architecture for Smart Grids [J]．Chinese Journal of Computers, 2013, 1(12): 143-167(in Chinese).

[19] YAO Jian-guo, YANG Sheng-chun, SHAN Mao-hua．Reflections on Operation Supporting System Architecture for Future Interconnected Power Grid [J]．Automation of Electric Power Systems, 2013, 37(21): 52-59.

[20] ZHOU Hua-feng, LI Peng, HU Rong, etal．Research on the Key Technologies of Intelligent Dispatching System for ChinaSouthern Power Grid [J]．Southern Power System Technology, 2011, 5(1): 14-17.