Journal of Northeastern University Natural Science ›› 2020, Vol. 41 ›› Issue (11): 1528-1534.DOI: 10.12068/j.issn.1005-3026.2020.11.002

• Information & Control • Previous Articles     Next Articles

Sampled-Data-Based Consensus Control for Large-Scale Energy Storage System

YAN Shi-jie1, WANG Li-hua1, YAN Wei-hang2, GAO Wen-zhong2   

  1. 1.School of Information Science & Engineering, Northeastern University, Shenyang 110819,China; 2. Department of Electrical & Computer Engineering,University of Denver, Denver 80208, USA.
  • Received:2020-03-01 Revised:2020-03-01 Online:2020-11-15 Published:2020-11-16
  • Contact: WANG Li-hua
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Abstract: Aiming at the inconsistent problem of state of charge(SOC) caused by the energy storage batteries in large-scale energy storage systems, a consensus control method for multi-agent energy storage systems is proposed, which realizes consistency of the SOC and the output power. The simplified large-scale energy storage system model is applied, and the consensus control protocol is designed based on the sampled data, and the convergence is analyzed. The local energy storage agent only receives the state information of the adjacent energy storage agents at a specific sampling time point, and can generate the local energy storage control signal, which solves the problem of large-scale multi-agent energy storage system due to the large calculation burden because of the complex communication. Considering the sampling data and system requirements, the system control parameters are designed. At the same time, taking into account the excessive instantaneous power, the consistency control with power limitation is improved. Finally, simulations are studied in three scenarios:meeting the theorem conditions, not satisfying the theorem conditions, and power limitation. The effectiveness of the method is verified.

Key words: large-scale energy storage system, consensus protocol, sampled-data, multi-agent, state of charge (SOC)

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