dc.contributor.authorWang, Ran
dc.contributor.authorWang, Ping
dc.contributor.authorXiao, Gaoxi
dc.date.accessioned2016-01-05T04:45:56Z
dc.date.available2016-01-05T04:45:56Z
dc.date.issued2015
dc.identifier.citationWang, R., Wang, P., & Xiao, G. (2015). A robust optimization approach for energy generation scheduling in microgrids. Energy Conversion and Management, 106, 597-607.en_US
dc.identifier.issn0196-8904en_US
dc.identifier.urihttp://hdl.handle.net/10220/39559
dc.description.abstractIn this paper, a cost minimization problem is formulated to intelligently schedule energy generations for microgrids equipped with unstable renewable sources and combined heat and power generators. In such systems, the fluctuant net demands (i.e., the electricity demands not balanced by renewable energies) and heat demands impose unprecedented challenges. To cope with the uncertainty nature of net demand and heat demand, a new flexible uncertainty model is developed. Specifically, we introduce reference distributions according to predictions and field measurements and then define uncertainty sets to confine net and heat demands. The model allows the net demand and heat demand distributions to fluctuate around their reference distributions. Another difficulty existing in this problem is the indeterminate electricity market prices. We develop chance constraint approximations and robust optimization approaches to firstly transform and then solve the prime problem. Numerical results based on real-world data evaluate the impacts of different parameters. It is shown that our energy generation scheduling strategy performs well and the integration of combined heat and power generators effectively reduces the system expenditure. Our research also helps shed some illuminations on the investment policy making for microgrids.en_US
dc.format.extent46 p.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesEnergy Conversion and Managementen_US
dc.rights© 2015 Elsevier Ltd. This is the author created version of a work that has been peer reviewed and accepted for publication by Energy Conversion and Management, Elsevier Ltd. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.enconman.2015.09.066].en_US
dc.subjectMicrogriden_US
dc.subjectEnergy generation scheduling
dc.subjectDemand uncertainties
dc.subjectRobust optimization
dc.subjectUncertainty set
dc.subjectReference distribution
dc.titleA robust optimization approach for energy generation scheduling in microgridsen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.enconman.2015.09.066
dc.description.versionAccepted versionen_US


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