孤岛运行光储微电网控制策略研究

光储微电网孤岛运行时存在电能质量差、系统稳定性差等问题。系统的控制策略多为基于PI控制的双闭环控制算法，导致动态响应速度慢。针对这一问题，提出了一种考虑新能源波动的多步预测有限集模型预测控制（FCS-MPC）策略。首先，对DC-DC变换器采用稳压控制，为逆变器提供稳定的直流电压提高系统的稳定性；然后，对光伏逆变器采用恒功率控制策略维持稳定的功率输出，对储能逆变器采用基于多步长改进模型预测控制（MPC）的下垂控制，以实现对参考电压的快速跟踪及负荷功率的合理分配，而且多步长改进MPC可降低传统MPC的预测误差，提高系统的稳定性；最后，利用MATLAB搭建仿真模型，仿真结果验证了所提控制策略的有效性。

Study on Control Strategy of Island Operating Solar Storage Microgrid

When the solar storage microgrid operates, there are problems of poor power quality and poor system stability.The control strategy of the system is mostly based on PI control with double closed-loop control algorithms, which can lead to slow dynamic response speed.A multi-step finite control set model predictive control (FCS-MPC) strategy is proposed that considers fluctuations in renewable energy sources.First, the use of voltage stabilizing control for the DC-DC converter provides stable DC voltage to the inverter to improve system stability.Then, a constant power control strategy is adopted for photovoltaic inverters to maintain stable power output.The energy storage inverter adopts droop control based on multi-step predictive model predictive control (MPC) to achieve fast tracking of reference voltage and reasonable allocation of load power.Multi step predictive MPC can reduce the prediction error of traditional MPC and improve the stability of the system.Finally, a simulation model is built using MATLAB, and the simulation results verify the effectiveness of the proposed control strategy.