Autonomous Model Predictive Controlled Smart Inverter With Proactive Grid Fault Ride-Through Capability
Autonomous Model Predictive Controlled Smart Inverter With Proactive Grid Fault Ride-Through Capability
复制标题
具有主动电网故障穿越能力的自主模型预测控制智能逆变器
DOI：
--
复制
发表时间：
2020
影响因子：
4.9
通讯作者：
H. Abu
中科院分区：
文献类型：
--
作者：
Mitchell Easley;Sarthak Jain;M. Shadmand;H. Abu
提出了一种具有主动电网故障穿越能力的自主模型预测控制智能光伏逆变器。提出的智能逆变器控制功能解耦的有功和无功功率。它可以根据电网条件或电网操作员命令在预期的操作模式之间无缝切换。智能逆变器根据电网条件自主调整其有功和无功功率设定点，它分别在正常电网和故障电网条件模式下以最大功率点跟踪（MPPT）和低电压穿越（LVRT）模式运行。提出的新的自治模型预测控制（AMPC）计划的杠杆，以提高智能逆变器的操作。AMPC包括在线权重因子自整定和控制目标归一化，以消除传统模型预测控制中所需的试错权重因子设计阶段。这一特点对双模智能逆变器运行特别有利。实验验证了基于AMPC的并网智能逆变器的性能。结果表明，所提出的基于AMPC的智能逆变器具有鲁棒的电网故障检测，有功和无功功率设定点的自主调整，操作模式之间的无缝转换，并消除控制器的调整工作。
This article presents an autonomous model predictive controlled smart photovoltaic (PV) inverter with proactive grid fault-ride through capability. The proposed smart inverter control features decoupled active and reactive power. It can seamlessly switch between the anticipated modes of operation based on grid condition or grid operator command. The smart inverter autonomously adjusts its active and reactive power set-points according to the grid condition, it operates in maximum power point tracking (MPPT) and low voltage ride through (LVRT) modes in normal grid and faulty grid condition modes, respectively. The proposed novel autonomous model predictive control (AMPC) scheme is leveraged to enhance the operation of the smart inverter. The AMPC includes online weight factor auto-tuning and control objective normalization to eliminate the required trial-and-error weight factor design stage in conventional model predictive control. This feature is particularly beneficial to the dual-mode smart inverter operation. The performance of the proposed grid-tied smart inverter based on the AMPC is verified experimentally. The results demonstrate that the proposed AMPC-based smart inverter features robust grid fault detection, autonomous adjustment of active and reactive power set-points, seamless transition between modes of operation, and elimination of controller tuning effort.