State of the art in big data applications in microgrid: A review |
| |
| Affiliation: | 1. Ceit, Manuel Lardizabal 15, 20018, Donostia/San Sebastián, Spain;2. Universidad de Navarra, Tecnun, Manuel Lardizabal 13, 20018, Donostia/San Sebastián, Spain;1. Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, China;2. College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, China;3. Department of Industrial Engineering and Decision Analytics, The Hong Kong University of Science and Technology, Hong Kong, China;1. Department of Electrical Engineering, University of Kurdistan, Sanandaj, Iran;2. Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran |
| |
| Abstract: | The prospering Big data era is emerging in the power grid. Multiple world-wide studies are emphasizing the big data applications in the microgrid due to the huge amount of produced data. Big data analytics can impact the design and applications towards safer, better, more profitable, and effective power grid. This paper presents the recognition and challenges of the big data and the microgrid. The construction of big data analytics is introduced. The data sources, big data opportunities, and enhancement areas in the microgrid like stability improvement, asset management, renewable energy prediction, and decision-making support are summarized. Diverse case studies are presented including different planning, operation control, decision making, load forecasting, data attacks detection, and maintenance aspects of the microgrid. Finally, the open challenges of big data in the microgrid are discussed. |
| |
| Keywords: | Big data Microgrid |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
