Adapting big data standards, maturity models to smart grid distributed generation: critical review. Issue 4 (24th June 2020)

• Record Type: Journal Article
• Authors: Sundararajan, Aditya; Hernandez, Alexander S.; Sarwat, Arif I.
• Is Part Of: IET smart grid. Volume 3:Issue 4(2020)
• Page Start: 508
• Page End: 519
• Publication Date: 2020-06-24
• Subjects: Capability Maturity Model -- distributed power generation -- Big Data -- smart power grids -- power engineering computing; data management techniques -- grid‐wide integration -- big data standards -- CMMs -- smart grid standards -- smart grid DG -- smart grid distributed generation -- capability maturity models; C6110B Software engineering techniques -- C6130 Data handling techniques -- C6160Z Other DBMS -- C7410B Power engineering computing -- B8120K Distributed power generation; Smart power grids -- Periodicals; Computer science -- Periodicals; Energy industries -- Periodicals; Broadcasting -- Periodicals; 333.79110285
• DOI: 10.1049/iet-stg.2019.0298
• Languages: English
• ISSNs: 2515-2947

Abstract

Abstract : Big data standards and capability maturity models (CMMs) help developers build applications with reduced coupling and increased breadth of deployment. In smart grids, stakeholders currently work with data management techniques that are unique and customised to their own goals, thereby posing challenges for grid‐wide integration and deployment. Although big data standards and CMMs exist for other domains, no work in the literature considers adapting them to smart grids, which will benefit from both. Further, existing smart grid standards and CMMs do not fully account for big data challenges. This study bridges the gap by analysing the role of big data in smart grids, and explores if and how big data standards and CMMs can be adapted specifically to ten distributed generation (DG) use‐cases that use big data. In doing so, this work provides a useful starting point for researchers and industry members developing standards and CMM assessments for smart grid DG.