Risk-Based Performance of Combined Heat and Power Based Microgrid Using Information Gap Decision Theory
In this paper, to get optimal scheduling of microgrids (MGs) in short-term, info-gap decision-theory (IGDT) is applied to assess load uncertainty. In order to provide a comprehensive load uncertainty study, best and worst possible conditions are evaluated using IGDT's functions of opportunity a...
Main Authors: | Sayyad Nojavan, Kittisak Jermsittiparsert |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9094669/ |
Similar Items
-
Robust Optimization-Based Scheduling of Multi-Microgrids Considering Uncertainties
by: Akhtar Hussain, et al.
Published: (2016-04-01) -
Microgrid Spinning Reserve Optimization with Improved Information Gap Decision Theory
by: Hong Zhang, et al.
Published: (2018-09-01) -
Robust Scheduling for Networked Microgrids Under Uncertainty
by: Kai Zhang, et al.
Published: (2021-05-01) -
Contribution on the day-ahead and operational optimization for DC microgrid building-integrated
by: Trigueiro dos Santos, Leonardo
Published: (2017) -
Including severe uncertainty into environmentally benign life cycle design using information gap-decision theory
by: Duncan, Scott Joseph
Published: (2008)