Hierarchical Model Predictive Control of Grid-Connected Cascaded Multilevel Inverter
Hierarchical Model Predictive Control of Grid-Connected Cascaded Multilevel Inverter
复制标题
并网级联多电平逆变器的递阶模型预测控制
DOI：
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发表时间：
2021
影响因子：
5.5
通讯作者：
H. Abu
中科院分区：
文献类型：
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作者：
Mitchell Easley;M. Shadmand;H. Abu
本文提出了一种分层有限集模型预测控制（MPC）方案，以实现自主操作和自平衡级联多电平逆变器。所提出的方法是基于通用成本函数的 MPC 方案的替代方案，该方案在某些应用中不适合或难以设计。所提出的控制器具有分层框架，以消除控制目标的总体成本函数优化和相关的权重因子设计阶段。控制公式化方法允许通过成本容限框架进行多目标优化。该概念非常适合简化具有先进功能的电网边缘级联 H 桥逆变器的控制设计阶段。该控制方案实现了有功功率和无功功率控制，减少了开关事件，同时均衡了独立电压源的功率消耗。后者是通过所提出的控制目标跟踪分层方法实现的。每个相的控制都是模块化的，使系统能够适应不平衡的电网条件。该概念通过仿真进行了深入解释，然后在硬件上进行了实验测试。
This article presents a hierarchical finite-set model predictive control (MPC) scheme to enable autonomous operation and self-balancing cascaded multilevel inverter. The proposed approach is an alternative to MPC scheme based on a generic cost function, which in some applications is ill fit or challenging to design. The proposed controller has a hierarchical framework to eliminate the overall cost function optimization and associated weight factor design stage of the control objectives. The control formulation approach allows for multiobjective optimization with a cost-tolerance framework. The concept is well suited to simplify the control design stage of cascaded H-bridge inverters at the grid-edge with advanced functionality. The control scheme achieves active and reactive power control with switching event reduction while equalizing power draw from the independent voltage sources. The latter of these objectives is made possible by the proposed hierarchical approach to the control objective tracking. The control is modularized for each phase, making the system robust to unbalanced grid conditions. The concept is explained in depth in simulation, and then tested experimentally on hardware.