A framework to assess the impacts of digital electrical substations
We propose a comprehensive framework for assessing the impacts of the digitalisation of electrical power substations. Literature review, interviews with stakeholders and an expert survey
Digital Substation Pt.2
It''s now time to step in a bit further and focus on two specific areas: the open-source part of the energy ecosystem and how the concept of software-defined networking (SDN) applies to substations.
Smart Substations and Digitalization—Part 5: Future Trends
This article discusses trends in AI-assisted smart substations, including sensor density, autonomous and self-healing networks, and inverter-based resources management.
AI Grid Analytics in a Substation for the Grid of the Future – AI
The energy transition is imminent, but its success relies on our ability to adapt our aging power grid infrastructure to support the entire ecosystem surrounding it. Innovation and the digital transformation
Research on multi-source heterogeneous data fusion method of
The integration of multi-source heterogeneous data in substations is crucial for enhancing operational efficiency and fault prediction in power systems, yet it poses significant
Application of Big Data and Artificial Intelligence in Substation
In order to solve the problem that a large amount of equipment data obtained in the operation and maintenance work of substations is not fully utilized, this paper mainly analyzes and processes the
Substation Energy Saving and Carbon Reduction Technology Utility
It is proved by experiments that this algorithm improves the accuracy, timeliness and robustness significantly, and provides reliable quantitative evidence for energy saving and carbon reduction
International Journal of Current Science Research and Review
IoT-based systems employ sensors, communication networks, and data analytics to monitor substation conditions in real-time. These systems perpetually gather data on essential factors, including voltage,
Digital Substations: The Fundamentals
Emerging technologies such as Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), and Big Data analytics are playing increasingly vital roles in enhancing the
Cloud based data Analytics and Control of Substation Transformer
Cloud-based big data analytics are employed to train and test Machine Learning (ML) algorithms for HI prediction. Multiple regression ML algorithms are trained and tested on the cloud,
Application Analysis of Big Data Technology in Energy Internet
The application of big data has been widely adopted today, but the exploration of Energy Internet based on the big data is in its early phase. In the paper, firstly, the basic concept, characteristic and method
Application of Big Data and Artificial Intelligence in Substation
Reasonable use of big data technology and artificial intelligence technology can greatly improve the intelligent level of substation operation and maintenance work, thus optimizing the allocation of
Research on multi-source heterogeneous data fusion method of substation
Substation multi-source heterogeneous data resource pools consist of an edge node data source and cloud center data source, through the two data sources to obtain the substation non
Renewable energy management in smart grids by using big data
Abstract The application of big data in the energy sector is considered as one of the main elements of Energy Internet. Crucial and promising challenges exist especially with the integration of
State assessment of 110–220 kV intelligent substation
Abstract With the development of modern information technology, intelligent substation technology has been widely used, which greatly promotes
Smart grid and application of big data: Opportunities and challenges
Energy companies, however, confront challenges in efficiently managing vast amounts of data. The optimal and apt implementation of smart-grid big data analytics becomes imperative to
Key Data-Driven Technologies in the Energy Internet
This section first introduces the monitoring and measurement big data sources and characteristics in the energy internet, then introduces the data analysis process of monitoring and
Artificial intelligence integrated grid systems: Technologies
The systems can minimize energy waste and enhance the usage of renewable energy sources (RES) significantly by maximizing their integration into the grid. In addition, it can also
Related Video Reference
This video was associated with the source search result. Verify technical details against current product documentation and project requirements.
This reference is intended for preliminary fiber and communications infrastructure research. Optical interface, fiber type, port or core capacity, electrical input and output, enclosure protection, cooling, installation limits and applicable standards must be verified for the specific project.