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|Title:||Multi-objective optimal dispatch of microgrid under uncertainties via interval optimization||Authors:||Li, Yuanzheng
Gooi, Hoay Beng
|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.||URI:||https://hdl.handle.net/10356/141242||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: https://doi.org/10.1109/TSG.2017.2787790||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||SCSE Journal Articles|
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