Please use this identifier to cite or link to this item:
Title: Multi-objective optimal dispatch of microgrid under uncertainties via interval optimization
Authors: Li, Yuanzheng
Wang, Ping
Gooi, Hoay Beng
Ye, Jian
Wu, Lei
Keywords: Engineering::Computer science and engineering
Issue Date: 2017
Source: Li, Y., Wang, P., Gooi, H. B., Ye, J., & Wu, L. (2019). Multi-objective optimal dispatch of microgrid under uncertainties via interval optimization. IEEE Transactions on Smart Grid, 10(2), 2046-2058. doi:10.1109/TSG.2017.2787790
Journal: IEEE Transactions on Smart Grid
Abstract: This paper presents a model of multi-objective optimal dispatch of microgrid (MODMG) under uncertainties via the interval optimization (IO) approach. In this model, multiple objectives are optimized simultaneously to meet economics, power quality, and security requirements of microgrid (MG) operations. Moreover, in order to adequately consider uncertain power outputs of wind turbines and photovoltaic cells in an MG, they are presented as interval variables. In turn, the MODMG model under uncertainties is formulated as a multi-objective optimization problem via the IO approach, which is then solved by the optimization algorithm of chaotic group search optimizer with multiple producers (CGSOMP). Simulation studies based on a modified IEEE 112-bus MG verify the effectiveness of the proposed optimal dispatch model and the CGSOMP algorithm.
ISSN: 1949-3053
DOI: 10.1109/TSG.2017.2787790
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:
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

Google ScholarTM




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