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Cited by 414

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

Open access
Li, Yang, Yang, Zhen, Li, Guoqing, Zhao, Dongbo, Tian, Wei·2019·IEEE Transactions on Industrial Electronics

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.

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Metadata

Authors
Li, Y., Yang, Z., Li, G., Zhao, D., & Tian, W.
Venue
IEEE Transactions on Industrial Electronics
Published
2019-02
Volume
66
Issue
2
Pages
1565-1575
ISSN
  • 0278-0046 (ISSN-L)
  • 1557-9948
OpenAlex
W2805595124
Cited by
414
References
0
FWCI
25.75
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Optimal Scheduling of an Isolated Microgrid With Battery Storage Considering Load and Renewable Generation Uncertainties. https://app.cochat.ai/papers/10.1109/tie.2018.2840498
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Li, Y., Yang, Z., Li, G., Zhao, D., & Tian, W. (2019). Optimal Scheduling of an Isolated Microgrid With Battery Storage Considering Load and Renewable Generation Uncertainties. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2018.2840498

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