基于模型预测控制的直流微网混合储能能量管理策略

为有效增强直流微网安全性、稳定性及其经济运行能力,基于模型预测控制理论,提出了一种直流微网混合储能系统(HESS)优化控制策略。根据超级电容与蓄电池的特性、系统安全工作需求及各种约束条件,建立含混合储能直流微网的预测模型。通过定义其优化指标,设计能量优化管理策略,并将其转化为二次规划问题进行求解,实现了直流微网中功率的合理调度。此外,提出了系统脱离约束情况下的功率控制方法。仿真实验验证了所提优化管理策略的可行性和有效性。

Energy management strategy of DC microgrid hybrid energy storage based on model predictive control

In order to enhance the security, stability and economic operational capability of a DC microgrid effectively, an optimal control strategy of a Hybrid Energy Storage System (HESS) based on model predictive control theory is proposed. According to the characteristics of the supercapacitor & storage battery, system security requirements and various constraints, a prediction model of a DC microgrid with hybrid energy storage system is established. By defining the optimization index, the energy optimization management strategy is designed and transformed into a quadratic programming problem to be solved, and this realizes a reasonable power dispatch in the DC microgrid. In addition, a power control method for the system without constraints is proposed. The simulation results verify the feasibility and effectiveness of the proposed optimal management strategy.This work is supported by National Natural Science Foundation of China (No. 61573167) and Fundamental Research Funds for the Central Universities (No. JUSRP51510).