Design, Analysis and Evaluation of Control Algorithms for Applications in Smart Grids
Christian Hinrichs () and
Michael Sonnenschein ()
Additional contact information
Christian Hinrichs: University of Oldenburg
Michael Sonnenschein: University of Oldenburg
Chapter Chapter 8 in Advances and New Trends in Environmental and Energy Informatics, 2016, pp 135-155 from Springer
Abstract:
Abstract In many countries, the currently observable transformation of the power supply system from a centrally controlled system towards a complex “system of systems”, comprising lots of autonomously interacting components, leads to a significant amount of research regarding novel control concepts. To facilitate the structured development of such approaches regarding the criticality of the targeted system, the research and development of a distributed control concept is demonstrated by employing an integrated methodology comprising both the Smart Grids Architecture Model framework (SGAM) and the Smart Grid Algorithm Engineering process model (SGAE). Along the way, a taxonomy of evaluation criteria and evaluation methods for such approaches is presented. For the whole paper, the Dynamic Virtual Power Plants business case (DVPP) serves as motivating example.
Keywords: Smart Grid; Control algorithm; Reference architecture; Process model; Evaluation criteria (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-319-23455-7_8
Ordering information: This item can be ordered from
http://www.springer.com/9783319234557
DOI: 10.1007/978-3-319-23455-7_8
Access Statistics for this chapter
More chapters in Progress in IS from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().