Mathematical programming methods for microgrid design and operations: a survey on deterministic and stochastic approaches
Guanglei Wang () and
Hassan Hijazi ()
Additional contact information
Guanglei Wang: The Australian National University
Hassan Hijazi: The Australian National University
Computational Optimization and Applications, 2018, vol. 71, issue 2, No 11, 553-608
Abstract:
Abstract Planning and operating a power grid is a nontrivial exercise due to conflicting objectives, nonlinear constraints and uncertainties at multiple decision levels. Considerable research work has been dedicated to independently solve different aspects of the overall problem. This survey provides a detailed review of state-of-the-art techniques in mathematical optimization trying to address challenges in this area. We also provide a set of open problems and research perspectives.
Keywords: Global optimization; Convex relaxation; Uncertainty; Power systems (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://link.springer.com/10.1007/s10589-018-0015-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:coopap:v:71:y:2018:i:2:d:10.1007_s10589-018-0015-1
Ordering information: This journal article can be ordered from
http://www.springer.com/math/journal/10589
DOI: 10.1007/s10589-018-0015-1
Access Statistics for this article
Computational Optimization and Applications is currently edited by William W. Hager
More articles in Computational Optimization and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().