基于DMPC和储能单元约束的分组一致性控制策略

针对多个电池储能单元间的分布式协调控制问题，提出了一种分布式储能单元分组一致性控制策略。首先，提出了一种基于分布式模型预测控制和状态约束的加权一致性算法，能考虑各储能单元的功率约束条件并快速完成多储能单元的功率分配。其次，提出了一种储能单元分组控制策略。根据荷电状态(state of change, SOC)信息设定储能单元的权重，达到改善储能单元SOC的一致性的目的。同时基于所提一致性算法，制定储能单元组间协调控制策略和储能单元效率提升策略，从而达到改善储能系统调节能力、延长储能系统寿命和提升能量转换效率的目的。最后，在Matlab中构建含8个电池储能单元的微电网系统，对所提算法和控制策略进行仿真分析。仿真结果表明，所提算法和控制策略在提升收敛速度、优化控制效果、延长储能系统寿命以及提升储能系统运行效率方面均具有一定优势。

Grouping consistency control strategy based on DMPC and energy storage unit constraints

A distributed grouped consistency control strategy is proposed to solve the distributed coordinated control problem among multiple battery storage units. First, a weighted consistency algorithm based on distributed model predictive control and state constraints is proposed, one which can consider the power constraints of each energy storage unit and quickly complete the power allocation of multiple energy storage units. Second, a grouping control strategy of the units is proposed. The weight of an energy storage unit is set from SOC information to improve its SOC consistency. Using the proposed consistency algorithm, inter-group coordination control and efficiency improvement strategies for the storage units are developed to improve the regulation ability of the storage system, extend its life and improve the energy conversion efficiency. Finally, the proposed algorithm and control strategy are simulated and analyzed by building a microgrid system with eight battery storage units in Matlab. The simulation results show that the proposed algorithm and control strategy have certain advantages in improving convergence speed, optimizing control effect, prolonging energy storage life and improving the operational efficiency of the energy storage system. This work is supported by the National Natural Science Foundation of China (No. 51867005).