摘要
针对由多个电池单元构成的电池储能阵列系统(BESAS)优化运行问题,提出一种基于模型预测控制(MPC)的加权离散一致性算法。首先,详细介绍该分布式算法的推导过程,通过利用该算法可以实现同种储能介质间功率的自适应分配;其次,在不影响BESAS额定功率的前提下,将电池单元分为充电组和放电组,并制定了多个电池单元的协调控制策略,以改善电池单元的运行工况;然后,通过对加权矩阵的收缩处理极大地提高了所提算法的收敛速度;最后,利用实际风电场数据进行仿真验证。仿真结果表明,所提的算法和协调策略在控制效果、收敛速度以及延长电池寿命方面均具有一定的优势。
For the optimal operation of battery energy storage array system composed of multiple battery units, a weighted discrete consensus algorithm based on model predictive control(MPC)was proposed. Firstly, the derivation process of the distributed algorithm was introduced in detail. By using this algorithm, the adaptive allocation of power between the same energy storage medium can be realized. Secondly, under the premise of not affecting the rated power of BESAS, the battery units were divided into a charging group and a discharging group. And a coordinated operation strategy of multiple battery units had been formulated to improve the operating environment of the battery units. In addition, the convergence rate of the proposed algorithm can be greatly improved by shrinking the weighted matrix. Finally, the actual wind farm data was used to verify the simulation. The results show that the proposed algorithm and control strategy have certain advantages in terms of control effect, convergence rate and extending battery life.
作者
郭伟
赵洪山
Guo Wei;Zhao Hongshan(School of Electrical and Electronic Engineering North China Electric Power University ,Baoding 071003 China)
出处
《电工技术学报》
EI
CSCD
北大核心
2019年第23期4991-5000,共10页
Transactions of China Electrotechnical Society
基金
中央高校基本科研业务费专项资金资助项目(2018QN072)
关键词
电池储能阵列系统
分布式一致性算法
模型预测控制
加权
Battery energy storage array system
distributed consensus algorithm
model predictive control(MPC)
weighted
