scholarly journals Research on the Operation and Inspection System of UHV and Cross-Regional Distribution Network Based on Big Data Technology

2018 ◽  
Vol 173 ◽  
pp. 03089
Author(s):  
Ji Zhixiang ◽  
Deng Chunyu
Keyword(s):  
Big Data ◽  
Smart Grid ◽  
New Technologies ◽  
Distribution Network ◽  
Regional Distribution ◽  
Technology Selection ◽  
Inspection System ◽  
Inspection Service ◽  
Grid Operation ◽  
Big Data Technology

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.

Grid Asset Health Evaluation Model Based on Smart Grid Big Data Technology

2021 ◽  
pp. 937-942
Author(s):  
Jianbin Wu ◽  
Jinxi Dong ◽  
Zhiwei Liu ◽  
Huiwen Qi ◽  
Zhenbo Xu ◽  
...  
Keyword(s):  
Big Data ◽  
Smart Grid ◽  
Evaluation Model ◽  
Health Evaluation ◽  
Model Based ◽  
Big Data Technology

Bringing Big Data Technology to Wind Turbine Installation Vessels

2021 ◽  
Author(s):  
Kayo Vanderheggen ◽  
Nate Meredith ◽  
Joost Janssen ◽  
Alberto Morandi
Keyword(s):  
Big Data ◽  
Wind Turbine ◽  
New Technologies ◽  
Energy Transition ◽  
Offshore Wind ◽  
Efficient Data ◽  
Real Value ◽  
Key Aspects ◽  
Turbine Installation ◽  
Big Data Technology

Digitalization is a key component of the ongoing Energy Transition. Although the offshore and maritime industries tend to be conservative in the adoption of new technologies, in recent years a digital journey was embraced to stay competitive, safe, and efficient. Data from mobile offshore units can be transformed into something valuable. However, collecting and processing of system’s data requires proper infrastructure, a software platform that handles data delivery and applications that translate the data into valuable information. The challenge is therefore to turn good ideas and intentions into solutions that add real value. With this challenge in mind, in recent years GustoMSC | NOV worked on Big Data technology for wind turbine installation vessels (WTIVs). The purpose of this endeavor is to assist our end users in increasing the safety and efficiency of their operations. This paper addresses some key aspects and components of this digital journey and shares experiences on merging Information Technology (IT) and Operational Technology (OT) environments in an ongoing effort to fulfill the promise that Industrial Internet of Things (IIoT) technology brings. A practical example is presented where Big Data is used to boost the performance of mobile offshore wind installation units.

scholarly journals Complex Power System Status Monitoring and Evaluation Using Big Data Platform and Machine Learning Algorithms: A Review and a Case Study

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-21 ◽  
Author(s):  
Yuanjun Guo ◽  
Zhile Yang ◽  
Shengzhong Feng ◽  
Jinxing Hu
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Smart Grid ◽  
Power System ◽  
Data Management ◽  
Power Grid ◽  
Technical Solution ◽  
Data Platform ◽  
Complex Power ◽  
Big Data Technology

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.

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