A Group Recommender for Investment in Microgrid Renewable Energy Sources

dc.contributor.author Mengash, Hanan
dc.contributor.author Brodsky, Alexander
dc.date.accessioned 2016-12-29T00:37:51Z
dc.date.available 2016-12-29T00:37:51Z
dc.date.issued 2017-01-04
dc.description.abstract Integration of renewable energy sources such as photovoltaic arrays and wind turbines into electric power microgrids can significantly reduce greenhouse gas (GHG) emissions. However, deciding on investment in microgrid renewable energy sources is a complex problem due to (1) the space of alternatives which is exponential in a number of components; (2) the complex interactions between old and new equipment in every time interval over an investment time horizon; (3) the multiple criteria that should be considered such as net present value, GHG emissions, and system reliability; and (4) dealing with a group of decision makers with diverse priorities. In this paper, we propose and report on the development of a Power Microgrid Operation and Investment Recommender (PMOIR) to guide a group of decision makers toward investment decisions on microgrid renewable energy sources. This is done under the assumption of optimal operational control over the investment time horizon. PMOIR uses a framework of extracting user preferences, estimating the group utility, optimizing and diversifying a small number of recommended alternatives, and voting. To support optimization, we mathematically model different power components and formalize the overall optimization problem, which is implemented using a mixed integer linear programming model. We also conduct an experimental study to demonstrating PMOIR feasibility, in terms of computational time, to be applied on microgrids involving 200 power components, over a five-year time horizon, with around 8 million binary variables.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2017.179
dc.identifier.isbn 978-0-9981331-0-2
dc.identifier.uri http://hdl.handle.net/10125/41332
dc.language.iso eng
dc.relation.ispartof Proceedings of the 50th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Group recommendations
dc.subject Multi-criteria optimization
dc.subject Package recommendations
dc.subject and Renewable energy sources investment
dc.subject Group support systems
dc.title A Group Recommender for Investment in Microgrid Renewable Energy Sources
dc.type Conference Paper
dc.type.dcmi Text
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
9.34 MB
Adobe Portable Document Format