基于模型预测控制算法的多风储直流微电网分布式电压二次控制策略

针对含多组风储单元的直流微电网中蓄电池的电压优化控制问题,提出了一种基于模型预测控制算法的分布式电压二次控制策略.设计了一种多步长预测一致性模型作为电压预测模型,通过目标函数最小化求解预测系数,得到最优电压二次控制补偿量加入一次控制中,将传统一致性算法中比例积分控制器下的偏差调节问题转化为模型预测控制器下的电压跟踪问题进行求解,从而实现对直流母线电压动态响应的滚动优化.该方法有效解决了传统一致性算法下电压控制策略瞬态特性差和部分工况下存在控制误差等问题,并通过MATLAB/Simulink仿真平台搭建模型验证了不同工况下所提策略的有效性和优越性.

Distributed voltage secondary control strategy of multi wind-storage DC microgrid based on model predictive control algorithm

Aiming at the problem of the battery voltage optimal control in DC microgrid with multi wind-storage units, a distributed voltage secondary control strategy based on model predictive control algorithm is proposed. A multi-step predictive consistency model is designed as the voltage predictive model. By minimizing the objective function to solve the prediction coefficient, the optimal voltage secondary control compensation is obtained and added to the primary control, so that the deviation adjustment problem under the proportional and integral controller in the traditional consistency algorithm is transformed into the voltage tracking problem under the model predictive controller for solving, so as to realize the rolling optimization of the DC bus voltage dynamic response. This method effectively solves the problems of poor transient characteristics of voltage control strategy under traditional consistency algorithm and control errors under some working conditions. And the effectiveness and superiority of the proposed strategy under different working conditions are verified by the model built on MATLAB/Simulink simulation platform.