ABSTRACT

Model predictive control (MPC) is considered one of the best non-linear control methods for controlling the modular multilevel converter (MMC) due to various advantages, such as no need for direct modelling, high dynamic response, and the ability to manage multiple control targets simultaneously. In this paper, a current closed-loop controller (CCLC) based on the current predictive strategy (CPS) is used to control the circulating and output currents in an MMC. A bilinear mathematical model of the MMC is derived and discretized to predict the states of the MMC for one step ahead. In addition, to reduce the practical costs and reduce the converter sensors, a sensor reduction algorithm has been used to reduce the number of voltage sensors and increase the reliability of the system. The proposed method is implemented in a single-phase MMC with four sub-modules (SMs) in each arm. The accuracy and performance of the proposed method are evaluated with simulation and experimental results.

摘要

模型预测控制（MPC）由于具有无需直接建模、高动态响应以及管理多个控制的能力等多种优点，被认为是控制模块化多电平转换器（MMC）的最佳非线性控制方法之一同时瞄准。在本文中，基于电流预测策略（CPS）的电流闭环控制器（CCLC）用于控制MMC中的循环电流和输出电流。推导并离散化 MMC 的双线性数学模型，以提前预测 MMC 的状态。此外，为了降低实际成本并减少转换器传感器，采用传感器减少算法来减少电压传感器的数量并提高系统的可靠性。所提出的方法在每个臂中有四个子模块 (SM) 的单相 MMC 中实现。通过仿真和实验结果评估了所提出方法的准确性和性能。