Analysis of the Development Status and Strategy of Smart Grid Big Data Technology

2021 ◽  
Vol 5 (2) ◽  
pp. 15-19
Author(s):  
Xiangzhu Lu
2021 ◽  
pp. 937-942
Author(s):  
Jianbin Wu ◽  
Jinxi Dong ◽  
Zhiwei Liu ◽  
Huiwen Qi ◽  
Zhenbo Xu ◽  
...  

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-21 ◽  
Author(s):  
Yuanjun Guo ◽  
Zhile Yang ◽  
Shengzhong Feng ◽  
Jinxing Hu

Efficient and valuable strategies provided by large amount of available data are urgently needed for a sustainable electricity system that includes smart grid technologies and very complex power system situations. Big Data technologies including Big Data management and utilization based on increasingly collected data from every component of the power grid are crucial for the successful deployment and monitoring of the system. This paper reviews the key technologies of Big Data management and intelligent machine learning methods for complex power systems. Based on a comprehensive study of power system and Big Data, several challenges are summarized to unlock the potential of Big Data technology in the application of smart grid. This paper proposed a modified and optimized structure of the Big Data processing platform according to the power data sources and different structures. Numerous open-sourced Big Data analytical tools and software are integrated as modules of the analytic engine, and self-developed advanced algorithms are also designed. The proposed framework comprises a data interface, a Big Data management, analytic engine as well as the applications, and display module. To fully investigate the proposed structure, three major applications are introduced: development of power grid topology and parallel computing using CIM files, high-efficiency load-shedding calculation, and power system transmission line tripping analysis using 3D visualization. The real-system cases demonstrate the effectiveness and great potential of the Big Data platform; therefore, data resources can achieve their full potential value for strategies and decision-making for smart grid. The proposed platform can provide a technical solution to the multidisciplinary cooperation of Big Data technology and smart grid monitoring.


2020 ◽  
Vol 1639 ◽  
pp. 012043
Author(s):  
Shuchun Wang ◽  
Xiaoguang Sun ◽  
Jianyu Geng ◽  
Yuan Han ◽  
Chunyong Zhang ◽  
...  

2014 ◽  
Vol 1070-1072 ◽  
pp. 1425-1429
Author(s):  
Rong Chang Yuan ◽  
Hu Yan ◽  
Xiao Ming Zhou ◽  
Fang Chun Di ◽  
Li Xin Li

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.


2018 ◽  
Vol 173 ◽  
pp. 03089
Author(s):  
Ji Zhixiang ◽  
Deng Chunyu

With the development of UHV and cross-regional distribution network, the operation and inspection of electric transmission and transformation equipment need to use big data and other new technologies to build a smart grid operation and inspection system, in order to better support the operation and inspection business. This paper analyzes the new development situation of UHV and trans-area power grid and the demand of smart grid operation and inspection service under the new situation. Combining big data analysis technology with production command and management practice, based on data and business requirements, this paper puts forward the data architecture of intelligent operation and inspection system according to big data technology, gives the technical framework and technology selection of intelligent operation and inspection system, then analyzes the application framework of intelligent operation and inspection service. The whole architecture of intelligent operation and inspection system is proposed, which provides better support for the development and application of intelligent operation and inspection system through the key architecture design. It has far-reaching application value and broad application prospect.


Author(s):  
Yu Zhang ◽  
Yan-Ge Wang ◽  
Yan-Ping Bai ◽  
Yong-Zhen Li ◽  
Zhao-Yong Lv ◽  
...  

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