Application of information gap decision theory in practical energy problems: A comprehensive review
Files in This Item:
|Review paper - Revised manuscript.pdf||1.13 MB||Adobe PDF||Request a copy|
|Title:||Application of information gap decision theory in practical energy problems: A comprehensive review||Authors:||Majidi, Majid; Mohammadi-Ivatloo, Behnam; Soroudi, Alireza||Permanent link:||http://hdl.handle.net/10197/11372||Date:||1-Sep-2019||Online since:||2020-05-06T10:33:26Z||Abstract:||The uncertainty quantification and risk modeling are hot topics in operation and planning of energy systems. The system operators and planners are decision makers that need to handle the uncertainty of input data of their models. As an example, energy consumption has always been a critical problem for operators since the forecasted values, and the actual consumption is never expected to be the same. The penetration of renewable energy resources is continuously increasing in recent and upcoming years. These technologies are not dispatch-able and are highly dependent on natural resources. This would make real-time energy balancing more complicated. Another source of uncertainty is related to energy market prices which are determined by the market participants’ behaviors. To consider these issues, uncertainty modeling should be performed. Various approaches have been previously utilized to model the uncertainty of these parameters such as probabilistic approaches, possibilistic approaches, hybrid possibilistic-probabilistic approach, information gap decision theory, robust and interval optimization techniques. This paper reviews the research works that used information gap decision theory for uncertainty modeling in energy and power systems.||Funding Details:||Science Foundation Ireland||Type of material:||Journal Article||Publisher:||Elsevier||Journal:||Applied Energy||Volume:||249||Start page:||157||End page:||165||Copyright (published version):||2019 Elsevier||Keywords:||Uncertainty; Uncertain parameters; Information gap decision theory; Robustness function; Opportunity function; Energy||DOI:||10.1016/j.apenergy.2019.04.144||Language:||en||Status of Item:||Peer reviewed|
|Appears in Collections:||Electrical and Electronic Engineering Research Collection|
Energy Institute Research Collection
Show full item record
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.