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Distributed State-of-Charge Balance Control With Event-Triggered Signal Transmissions for Multiple Energy Storage Systems in Smart Grid
Author(s) -
Lantao Xing,
Yateendra Mishra,
YuChu Tian,
Gerard Ledwich,
Chunjie Zhou,
Wenli Du,
Feng Qian
Publication year - 2019
Publication title -
ieee transactions on systems man and cybernetics systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.261
H-Index - 64
eISSN - 2168-2232
pISSN - 2168-2216
DOI - 10.1109/tsmc.2019.2916152
Subject(s) - computer science , grid , signal (programming language) , transmission (telecommunications) , smart grid , state of charge , control (management) , state (computer science) , event (particle physics) , power (physics) , real time computing , control theory (sociology) , battery (electricity) , engineering , telecommunications , electrical engineering , mathematics , algorithm , physics , geometry , quantum mechanics , artificial intelligence , programming language
Modern power grid is increasingly integrated with battery energy storage systems (BESSs). This paper deals with the problem of state-of-charge (SoC) balance control for multiple distributed BESSs in smart grid. The BESSs are expected to work cooperatively to not only fulfil the overall power requirement but also meet the constraints of the same relative SoC variation rate. To achieve this objective, a distributed SoC balance control approach is presented with event-triggered signal transmissions. It is designed with the dynamic average consensus (DAC) mechanism for parameter estimations. The DAC enables distributed control of each BESS through communicating with its neighboring BESSs. Different from traditional periodic signal transmission, the event-triggered signal transmission embedded in our approach allows each BESS to transmit signal to its neighboring BESSs only when needed, thus reducing the communication traffic. Theoretical lower bounds are established for consecutive interevent intervals such that the Zeno behavior is excluded. Case studies are conducted to demonstrate the effectiveness of the presented approach.

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