基于纵横交叉算法的储能系统自适应控制策略

Adaptive Control Strategy for Energy Storage Systems Based on Crisscross Optimization Algorithm

大量储能设备通过虚拟同步机(VSG)并入电网时,传统固定惯量和阻尼控制策略中,控制参数选取不当会造成调节时间长或超调量大,且无法充分发挥VSG控制灵活的优势。为此,提出了基于纵横交叉(CSO)算法的储能系统自适应控制策略,首先,建立了储能系统VSG系统,将储能VSG系统频率的误差与电压总谐波畸变率之和的最小值作为CSO的目标函数,并引入电池的荷电状态(SOE)约束求解最佳惯量以及阻尼,该算法收敛速度更快且有效地规避了参数局部解。在此基础上,设计一种改进的惯量阻尼自适应控制策略,有效地改善了VSG的动态性能。最后,通过Matlab/Simulink搭建仿真模型,验证了所提策略的有效性。

When a large number of energy storage devices are integrated into the power grid through a virtual synchronous generator(VSG),improper selection of control parameters in traditional fixed inertia and damping control strategies can lead to long adjustment times or large overshoot,and fail to fully leverage the flexible advantages of VSG control.To address this issue,an adaptive control strategy for energy storage system based on the crisscross optimization(CSO)algorithm was proposed.Firstly,the VSG model of the energy storage system was established,and the minimum value of the sum of the frequency error of the VSG system and the total harmonic distortion of the voltage was taken as the objective function of CSO.The battery state of energy(SOE)constraint was introduced to solve the optimal inertia and damping.This algorithm has a faster convergence speed and effectively avoids parameter local solutions.On this basis,an improved inertia and damping adaptive control strategy was designed to effectively improve the dynamic performance of VSG.Finally,the effectiveness of the proposed strategy was verified by building a simulation model using Matlab/Simulink.