Mathematical programming methods for microgrid design and operations: a survey on deterministic and stochastic approaches

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 detai...

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Veröffentlicht in:Computational optimization and applications Jg. 71; H. 2; S. 553 - 608
Hauptverfasser: Wang, Guanglei, Hijazi, Hassan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.11.2018
Springer Nature B.V
Schlagworte:
Convex and Discrete Geometry
Distributed generation
Management Science
Mathematical analysis
Mathematical programming
Mathematics
Mathematics and Statistics
Operations Research
Operations Research/Decision Theory
Optimization
State-of-the-art reviews
Statistics
Convex relaxation
Global optimization
Uncertainty
Power systems
ISSN:0926-6003, 1573-2894
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:0926-6003
1573-2894
DOI:10.1007/s10589-018-0015-1