Optimal design of decentralized energy conversion systems for smart microgrids using decomposition methods

Thomas Schütz, Xiaolin Hu, Marcus Fuchs and Dirk Müller

Energy, 2018, vol. 156, issue C, 250-263

Abstract: The design of decentralized energy conversion systems in smart residential microgrids is a challenging optimization problem due to the variety of available generation and storage devices. Common measures to reduce the problem's size and complexity are to reduce modeling accuracy, aggregate multiple loads or change the temporal resolution. However, since these attempts alter the optimization problem and consequently lead to different solutions as intended, this paper presents and analyses a decomposition method for solving the original problem iteratively.

Keywords: Decomposition; Mixed integer linear programming; Optimization; Smart residential microgrids; Urban energy systems (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544218308703
Full text for ScienceDirect subscribers only

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:eee:energy:v:156:y:2018:i:c:p:250-263

DOI: 10.1016/j.energy.2018.05.050

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().