Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/105580
Title: Flexible scheduling of microgrid with uncertainties considering expectation and robustness
Authors: Li, Yuanzheng
Zhao, Tianyang
Wang, Ping
Gooi, Hoay Beng
Ding, Zhaohao
Li, Kaicheng
Yan, Wei
Keywords: Flexible Scheduling
Expectation
Engineering::Computer science and engineering
Issue Date: 2017
Source: Li, Y., Zhao, T., Wang, P., Gooi, H. B., Ding, Z., Li, K., & Yan, W. (2018). Flexible scheduling of microgrid with uncertainties considering expectation and robustness. IEEE Transactions on Industry Applications, 54(4), 3009-3018. doi:10.1109/TIA.2017.2757902
Series/Report no.: IEEE Transactions on Industry Applications
Abstract: With increasing renewable distributed energy resources integrated into a microgrid (MG), it is difficult to realize its optimal operation due to various uncertainties, e.g., power outputs of wind turbines and photovoltaic cells. This paper presents a flexible scheduling model for the optimal operation of an MG in which the expectation of operational cost and the robustness of scheduling solutions are considered, simultaneously. To balance the tradeoff between minimizing the expectation of operational cost and enhancing robustness, the proposed flexible scheduling model of MG is formulated as a multiobjective optimization problem by introducing a robustness preference parameter. In this way, the relationship between the expected operational cost and the robustness of scheduling solution is investigated, and the fuzzy decision making method is used for selecting a suitable solution. Finally, a modified MG is used for case study, and simulation results verify the applicability and effectiveness of the proposed model.
URI: https://hdl.handle.net/10356/105580
http://hdl.handle.net/10220/50159
ISSN: 0093-9994
DOI: http://dx.doi.org/10.1109/TIA.2017.2757902
Rights: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TIA.2017.2757902
metadata.item.grantfulltext: open
metadata.item.fulltext: With Fulltext
Appears in Collections:SCSE Journal Articles

Page view(s)

23
checked on Dec 25, 2019

Download(s)

7
checked on Dec 25, 2019

Google ScholarTM

Check

Altmetric

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.