Data Analytics in Smart Grid with Renewable Energy Integration |
Author(s): |
Pawan Kumar Vishwakarma |
Keywords: |
Data Analytics, Smart Grid, Renewable Energy, Renewable Energy Integration, Big Data Analytics. |
Abstract |
Data analytics are becoming more and more important in modern industrial processes. A data layer has been added to the conventional electrical transmission and distribution network with the extensive use of smart meters and sensors. This data layer may be queried, stored, and analysed thanks to developments in ICT. The efficiency, availability, and sustainability of power systems may be greatly enhanced using smart grid technology that allows renewable energy sources to be integrated into modern power networks. Data analytics also has a critical role to play in this process, by using sophisticated data acquisition, handling, and processing methodology to overcome the variability and intermittency inherent in renewable power such as solar and wind. It actually assists in the monitoring and controlling, forecasting, and optimisation of the energy supply, demands, and storage for reliability of the power grid. This brief emerged with elements of data analytics in smart grids and concentrates on its operational aspects including RTM, demand forecast, grid stability, energy storage, performance, and customers. It also looks at the pros and cons of smart grid technologies and also the merits of renewable energy as a solution to sustainable development, reduction of global warming, energy security, stable economic growth, among other factors, and better public health. |
Other Details |
Paper ID: IJSARTV Published in: Volume : 10, Issue : 10 Publication Date: 10/1/2024 |
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