基于采样数据的大规模储能系统一致性控制

doi:10.12068/j.issn.1005-3026.2020.11.002

东北大学学报:自然科学版 ›› 2020, Vol. 41 ›› Issue (11): 1528-1534.DOI: 10.12068/j.issn.1005-3026.2020.11.002

基于采样数据的大规模储能系统一致性控制

闫士杰¹，王立华¹，闫伟航²，高文忠²

(1. 东北大学信息科学与工程学院，辽宁沈阳110819； 2. 丹佛大学电气与计算机工程系， Colorado Denver80208)

收稿日期:2020-03-01 修回日期:2020-03-01 出版日期:2020-11-15 发布日期:2020-11-16
通讯作者: 闫士杰
作者简介:闫士杰(1964-)，男，吉林大安人，东北大学副教授.
基金资助:
国家自然科学基金资助项目(U1908217).

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

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

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
About author:-
Supported by:
-

摘要/Abstract

摘要： 针对大规模储能系统中储能电池的荷电状态(SOC)不一致问题，提出了一种储能多智能体系统一致性控制方法，实现了SOC和输出功率的一致性.该方法应用简化的大规模储能系统模型，基于采样数据进行了一致性控制协议设计，并进行了收敛性分析.从而使本地储能单元智能体仅在特定采样时间点接收邻接储能单元智能体的状态信息，就能够产生本地储能单元控制信号，解决了大规模储能多智能体系统因通讯复杂而带来的计算量过大的问题.考虑了采样数据和系统需求，进行了系统控制参数设计.同时，对瞬时功率过大的问题，进行了带功率限制的一致性控制改进.最后，在满足定理条件、不满足定理条件和功率限制等三种场景下进行了仿真，验证了该方法的有效性.

关键词: 大规模储能系统, 一致性协议, 采样数据, 多智能体, 荷电状态(SOC)

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)

中图分类号:

TM761

闫士杰，王立华，闫伟航，高文忠. 基于采样数据的大规模储能系统一致性控制[J]. 东北大学学报:自然科学版, 2020, 41(11): 1528-1534.

YAN Shi-jie， WANG Li-hua， YAN Wei-hang， GAO Wen-zhong. Sampled-Data-Based Consensus Control for Large-Scale Energy Storage System[J]. Journal of Northeastern University Natural Science, 2020, 41(11): 1528-1534.

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基于采样数据的大规模储能系统一致性控制

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

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