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Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
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 -