针对微电网并网系统中存在的电压跌落电能质量问题，研究了一种基于神经元自适应控制的蓄电池储能动态电压恢复器(DVR)。主要由蓄电池、逆变器、LC滤波器、变压器4个部分组成。其中，为了提升该DVR的控制性能，引入神经元自适应控制算法改进了外环电压PI调节器，实现了外环控制参数的自适应调节，从而得到新的双闭环控制策略。然后，结合空间电压矢量调制法最终实现控制。最后，在MATLAB/Simulink仿真软件中搭建了基于神经元自适应控制的蓄电池储能DVR的并网系统模型。试验结果表明，采用神经元自适应控制的蓄电池储能DVR能够补偿微电网的电压跌落，具有较强的动态响应能力和抗扰能力。

Aiming at the power quality problem of voltage drop in the microgrid grid-connected system, a battery energy storage dynamic voltage restorer (DVR) based on neuron adaptive control is studied. It is mainly composed of battery, inverter, LC filter and transformer. In order to improve the control performance of the DVR, the neuron adaptive control algorithm is introduced to improve the outer loop voltage PI regulator, and the adaptive adjustment of the outer loop control parameters is realized, thereby obtaining a new double-closed-loop control strategy. Then, combined with the space voltage vector modulation method, the control strategy is achieved. Finally, a grid-connected system model of battery energy storage DVR based on neuron adaptive control is built in MATLAB/Simulink simulation software. Simulation results show that the battery energy storage DVR based on neuron adaptive control can compensate for the voltage drop of the microgrid. It has strong dynamic response capability and anti-interference ability.