基于改进麻雀算法的直流微电网分级均流稳压控制

Grading Current Sharing and Voltage Stabilizing Control of DC Microgrid Based on Improved Sparrow Search Algorithm

  • 摘要: 针对直流微电网下垂控制中,线缆阻抗、工况变化带来的功率分配不均及母线电压跌落的问题,提出一种基于改进麻雀搜索算法整定下垂系数和分级下垂控制的结合控制策略。首先,改进算法将动态发现者与自适应螺旋因子相结合,提高了原算法的寻优精度和收敛速度。在整定下垂系数过程中,以下垂系数和电压补偿截距作为搜索维度,采样直流母线电压和各微源输出电压、电流,分别计算其与目标值的偏差量,并将偏差量的和作为目标函数,通过迭代更新收索最优下垂参数。然后,实时检测直流微电网输出电压、电流,以此诊断直流微电网工况变化,同时调整最优下垂参数进行分级控制。最后,通过仿真分析,验证了所提方法在微源故障断开、母线负荷投切及本地负载投切的工况下均可以获得良好的控制效果。

     

    Abstract: Aiming at the problems of uneven power distribution and bus voltage drop caused by the change of cable impedance and working condition in the droop control of direct current(DC) microgrid, a combined control strategy based on improved sparrow search algorithm to set droop coefficient and hierarchical droop control is proposed. Firstly, the improved algorithm combines the dynamic discoverer with the adaptive helix factor to improve the optimization accuracy and convergence speed of the original algorithm. In the process of setting the droop coefficient, the droop coefficient and voltage compensation intercept are taken as the search dimension, the DC bus voltage and the output voltage and current of each micro source are sampled, and the deviation from the target value is calculated respectively. The sum of the deviation is taken as the objective function, and the optimal droop parameter is obtained through iterative updating. Then, the output voltage and current of DC microgrid are detected in real time to diagnose the change of DC microgrid working condition, and the optimal droop parameters are adjusted for hierarchical control. Finally, through simulation analysis, it is verified that this proposed method can achieve good control effect under the conditions of micro source fault disconnection, bus load switching and local load switching.

     

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