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Title: Optimal Scheduling of an Isolated Microgrid With Battery Storage Considering Load and Renewable Generation Uncertainties

Abstract

By modeling the uncertainty of spinning reserves provided by energy storage with probabilistic constraints, a new optimal scheduling mode is proposed in this paper for minimizing the operating costs of an isolated microgrid (MG) by using chance-constrained programming. The model is transformed into a readily solvable mixed integer linear programming formulation in general algebraic modeling system (GAMS) via a proposed discretized step transformation approach and finally solved by applying the CPLEX solver. By properly setting the confidence levels of the spinning reserve probability constraints, the MG operation can achieve a tradeoff between reliability and economy. The test results on the modified Oak Ridge National Laboratory Distributed Energy Control and Communication lab MG test system reveal that the proposal significantly exceeds the commonly used hybrid intelligent algorithm with much better and more stable optimization results and significantly reduced calculation times.

Authors:
; ; ; ;
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1576971
DOE Contract Number:  
AC02-06CH11357
Resource Type:
Journal Article
Journal Name:
IEEE Translations on Industrial Electronics
Additional Journal Information:
Journal Volume: 66; Journal Issue: 2
Country of Publication:
United States
Language:
English

Citation Formats

Li, Yang, Yang, Zhen, Li, Guoqing, Zhao, Dongbo, and Tian, Wei. Optimal Scheduling of an Isolated Microgrid With Battery Storage Considering Load and Renewable Generation Uncertainties. United States: N. p., 2019. Web. doi:10.1109/TIE.2018.2840498.
Li, Yang, Yang, Zhen, Li, Guoqing, Zhao, Dongbo, & Tian, Wei. Optimal Scheduling of an Isolated Microgrid With Battery Storage Considering Load and Renewable Generation Uncertainties. United States. https://doi.org/10.1109/TIE.2018.2840498
Li, Yang, Yang, Zhen, Li, Guoqing, Zhao, Dongbo, and Tian, Wei. 2019. "Optimal Scheduling of an Isolated Microgrid With Battery Storage Considering Load and Renewable Generation Uncertainties". United States. https://doi.org/10.1109/TIE.2018.2840498.
@article{osti_1576971,
title = {Optimal Scheduling of an Isolated Microgrid With Battery Storage Considering Load and Renewable Generation Uncertainties},
author = {Li, Yang and Yang, Zhen and Li, Guoqing and Zhao, Dongbo and Tian, Wei},
abstractNote = {By modeling the uncertainty of spinning reserves provided by energy storage with probabilistic constraints, a new optimal scheduling mode is proposed in this paper for minimizing the operating costs of an isolated microgrid (MG) by using chance-constrained programming. The model is transformed into a readily solvable mixed integer linear programming formulation in general algebraic modeling system (GAMS) via a proposed discretized step transformation approach and finally solved by applying the CPLEX solver. By properly setting the confidence levels of the spinning reserve probability constraints, the MG operation can achieve a tradeoff between reliability and economy. The test results on the modified Oak Ridge National Laboratory Distributed Energy Control and Communication lab MG test system reveal that the proposal significantly exceeds the commonly used hybrid intelligent algorithm with much better and more stable optimization results and significantly reduced calculation times.},
doi = {10.1109/TIE.2018.2840498},
url = {https://www.osti.gov/biblio/1576971}, journal = {IEEE Translations on Industrial Electronics},
number = 2,
volume = 66,
place = {United States},
year = {2019},
month = {2}
}