In the islanding micro-grid operation mode, due to the lack of support from the large power grid, the voltage of the bus and each node in the network is completely supported by the cooperation of the micro-grid inverters in the grid. Therefore, the control performance of the micro-grid inverter determines the quality of the power supply voltage. This paper proposes an improved AC and DC islanding micro-grid fixed frequency current control method with variable topology. First, the neural network algorithm improved by particle swarm optimization is used as the basis to optimize the coordinated compensation control of the micro-grid to obtain the fitness value of the objective function under the positive and negative sequence potentials. Then, a control strategy for the improved AC/DC hybrid micro-grid is proposed, and the decoupling and coordinated control strategy for the output compensation of the dual filters in the islanding mode is designed. Finally, simulations and experiments verify the improved AC/DC hybrid microgrid with variable topology and achieve the goal of constant-frequency current control.

中文翻译：

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基于改进神经网络的孤岛微电网定频电流控制方法

在孤岛微网运行模式下，由于缺乏大电网的支持，母线和网络中各节点的电压完全靠电网中微网逆变器的配合来支撑。因此，微网逆变器的控制性能决定了供电电压的好坏。提出了一种改进的交直流孤岛微网定频变拓扑电流控制方法。首先，以粒子群优化改进的神经网络算法为基础，对微电网的协调补偿控制进行优化，得到目标函数在正负序势下的适应度值。然后，提出了一种改进的交直流混合微电网控制策略，设计了孤岛模式下双滤波器输出补偿的解耦协调控制策略。最后通过仿真和实验验证了改进后的变拓扑交直流混合微电网，实现了恒频电流控制的目标。