| Author(s): |
Trindade, Fernanda C. L.
;
Ochoa, Luis F.
;
Freitas, Walmir
;
IEEE
Total Authors: 4
|
| Document type: | Journal article |
| Source: | 2016 IEEE INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT-ASIA); v. N/A, p. 6-pg., 2016-01-01. |
| Abstract | |
The large volumes of data that will be produced by ubiquitous sensors and meters in future smart distribution networks represent an opportunity for the use of data analytics to extract valuable knowledge and, thus, improve Distribution Network Operator (DNO) planning and operation tasks. Indeed, applications ranging from outage management to detection of nontechnical losses to asset management can potentially benefit from data analytics. However, despite all the benefits, each application presents DNOs with diverse data requirements and the need to define an adequate approach. Consequently, it is critical to understand the different interactions among applications, monitoring infrastructure and approaches involved in the use of data analytics in distribution networks. To assist DNOs in the decision making process, this work presents some of the potential applications where data analytics are likely to improve distribution network performance and the corresponding challenges involved in its implementation. (AU) | |
| FAPESP's process: | 15/02891-5 - Development of methodologies for the integration of smart meters in Distribution Management Systems |
| Grantee: | Fernanda Caseño Trindade Arioli |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 15/12260-2 - Wide-scale management of residential photovoltaic systems |
| Grantee: | Fernanda Caseño Trindade Arioli |
| Support Opportunities: | Scholarships abroad - Research |