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基于DMPC加权一致性算法的电池储能阵列分组控制策略
郭伟, 赵洪山
华北电力大学 电气与电子工程学院,河北 保定 071003
摘要:
为了解决由多个电池单元组成的大容量电池储能阵列系统(BESAS)的优化运行问题,提出了一种基于分布式模型预测控制的加权一致性算法。首先,介绍了含风电场BESAS的构成,将多个电池储能单元划分为充电组和放电组,通过制定合理的组间协调策略,在不影响BESAS额定功率的前提下,提高储能系统的容量利用率和减少充/放电转换次数;然后,详细地介绍了所提分布式算法的计算过程,并将该算法应用于BESAS的分组控制过程,实现兼顾电池单元安全运行的功率自适应分配;最后,通过算例从算法性能和BESAS控制性能2个方面进行仿真验证,结果表明所提算法和分组控制策略在鲁棒性和控制效果方面均具有一定的优势和可行性。
关键词:  风电  电池储能阵列系统  分布式模型预测控制  加权一致性算法  协调控制
DOI:10.16081/j.epae.202001008
分类号:TM761;TM911
基金项目:中央高校基本科研业务费专项资金资助项目(2018-QN072)
Grouping control strategy of battery energy storage array based on DMPC weighted consensus algorithm
GUO Wei, ZHAO Hongshan
School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Abstract:
A weighted consensus algorithm based on DMPC(Distributed Model Predictive Control) is proposed to solve the optimal operation problem of BESAS(Battery Energy Storage Array System). Firstly, the structure of BESAS with wind farms is introduced, and several battery energy storage units are divided into charging group and discharging group. The capacity utilization rate of the energy storage system is improved and the conversion times of charging/discharging is reduced by developing a reasonable coordination strategy among groups, under the premise of not affecting the rated power of BESAS. Then, the calculation process of the proposed distributed algorithm is introduced in detail, and the algorithm is applied to the BESAS grouping control process to realize the adaptive power distribution considering the safe operation of battery units. Finally, simulative results from the aspects of algorithm performance and BESAS control performance show that the proposed algorithm and the grouping control strategy have certain advantages and feasibility in robustness and control effect.
Key words:  wind power  battery energy storage array system  distributed model predictive control  weighted consensus algorithm  coordinated control

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