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Distributed control of battery energy storage system in a microgrid

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Distributed control of battery energy storage system in a microgrid. / Ma, Jie; Ma, Xiandong.
2019 8th International Conference on Renewable Energy Research and Applications (ICRERA). IEEE, 2020.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Ma, J & Ma, X 2020, Distributed control of battery energy storage system in a microgrid. in 2019 8th International Conference on Renewable Energy Research and Applications (ICRERA). IEEE. https://doi.org/10.1109/ICRERA47325.2019.8996504

APA

Ma, J., & Ma, X. (2020). Distributed control of battery energy storage system in a microgrid. In 2019 8th International Conference on Renewable Energy Research and Applications (ICRERA) IEEE. https://doi.org/10.1109/ICRERA47325.2019.8996504

Vancouver

Ma J, Ma X. Distributed control of battery energy storage system in a microgrid. In 2019 8th International Conference on Renewable Energy Research and Applications (ICRERA). IEEE. 2020 doi: 10.1109/ICRERA47325.2019.8996504

Author

Ma, Jie ; Ma, Xiandong. / Distributed control of battery energy storage system in a microgrid. 2019 8th International Conference on Renewable Energy Research and Applications (ICRERA). IEEE, 2020.

Bibtex

@inproceedings{2c313dd5b5104f2eba50ec5256e71f80,
title = "Distributed control of battery energy storage system in a microgrid",
abstract = "Due to the high penetration of renewable power system with variable generation profiles, the need for flexible demand and flexible energy storage increases. In this paper, a hierarchical energy dispatch scheme incorporating energy storage system is presented to address the uncontrollability of renewable power generation. Statistical-based forecasting techniques are preformed and compared in order to accurately predict solar radiance and estimate solar power generation. Battery energy storage system (BESS) is often deployed as a flexible power supplier to reduce the peak power, emissions and cost. This paper elaborates a multi-agent system (MAS) based distributed algorithm to investigate an energy dispatch scheme for BESS, based on the renewable energy forecasting results. A 24-hour prescheduled energy dispatch scheme is assigned to individual BESSs based on IEEE 5-bus system and IEEE 14-bus system. Simulation results are shown to demonstrate the feasibility and scalability of the algorithm.",
keywords = "Hierarchical energy dispatch scheme, BESS, MAS-based distributed algorithm, Forecasting techniques",
author = "Jie Ma and Xiandong Ma",
note = "{\textcopyright}2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. ",
year = "2020",
month = feb,
day = "13",
doi = "10.1109/ICRERA47325.2019.8996504",
language = "English",
booktitle = "2019 8th International Conference on Renewable Energy Research and Applications (ICRERA)",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Distributed control of battery energy storage system in a microgrid

AU - Ma, Jie

AU - Ma, Xiandong

N1 - ©2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2020/2/13

Y1 - 2020/2/13

N2 - Due to the high penetration of renewable power system with variable generation profiles, the need for flexible demand and flexible energy storage increases. In this paper, a hierarchical energy dispatch scheme incorporating energy storage system is presented to address the uncontrollability of renewable power generation. Statistical-based forecasting techniques are preformed and compared in order to accurately predict solar radiance and estimate solar power generation. Battery energy storage system (BESS) is often deployed as a flexible power supplier to reduce the peak power, emissions and cost. This paper elaborates a multi-agent system (MAS) based distributed algorithm to investigate an energy dispatch scheme for BESS, based on the renewable energy forecasting results. A 24-hour prescheduled energy dispatch scheme is assigned to individual BESSs based on IEEE 5-bus system and IEEE 14-bus system. Simulation results are shown to demonstrate the feasibility and scalability of the algorithm.

AB - Due to the high penetration of renewable power system with variable generation profiles, the need for flexible demand and flexible energy storage increases. In this paper, a hierarchical energy dispatch scheme incorporating energy storage system is presented to address the uncontrollability of renewable power generation. Statistical-based forecasting techniques are preformed and compared in order to accurately predict solar radiance and estimate solar power generation. Battery energy storage system (BESS) is often deployed as a flexible power supplier to reduce the peak power, emissions and cost. This paper elaborates a multi-agent system (MAS) based distributed algorithm to investigate an energy dispatch scheme for BESS, based on the renewable energy forecasting results. A 24-hour prescheduled energy dispatch scheme is assigned to individual BESSs based on IEEE 5-bus system and IEEE 14-bus system. Simulation results are shown to demonstrate the feasibility and scalability of the algorithm.

KW - Hierarchical energy dispatch scheme

KW - BESS

KW - MAS-based distributed algorithm

KW - Forecasting techniques

UR - https://icrera.org/index.php?id=prog

U2 - 10.1109/ICRERA47325.2019.8996504

DO - 10.1109/ICRERA47325.2019.8996504

M3 - Conference contribution/Paper

BT - 2019 8th International Conference on Renewable Energy Research and Applications (ICRERA)

PB - IEEE

ER -