controlling the grid-connected

资 源 简 介

Power electronics plays an important role in controllingthe grid-connected renewable energy sources. This paperpresents a novel adaptive neuro-fuzzy control approach forthe renewable interfacing inverter. The main objective is toachieve smooth bidirection

详 情 说 明

在可控的电力电子中，控制与管理可再生能源在电网上的接入是至关重要的。本论文提出了一种新颖的自适应神经模糊控制方法，用于控制可再生能源逆变器的输入。该方法旨在实现平稳的双向功率流和非线性不平衡负载补偿，其中传统的比例积分控制器可能由于高度非线性系统的快速变化而失败。神经模糊控制器在处理不确定性和从过程中学习方面的综合能力被证明是控制逆变器在波动的工作条件下的优势。逆变器被主动控制以同时补偿三相四线（3P4W）非线性负载的谐波、无功功率和电流不平衡，并将可再生能源注入电网。

To elaborate further, smooth and efficient integration of renewable energy sources into the power grid is a crucial aspect of power electronics. In this paper, a new adaptive neuro-fuzzy control approach for interfacing renewable energy sources with the grid is presented. The primary objective of this approach is to achieve smooth bidirectional power flow and nonlinear unbalanced load compensation, which is difficult to achieve with conventional proportional-integral controllers due to the rapid changes in the highly nonlinear system dynamics. The neuro-fuzzy controller's ability to handle uncertainties and learn from processes is advantageous in controlling the inverter under fluctuating operating conditions. The inverter is actively controlled to compensate for harmonics, reactive power, and current imbalances of a three-phase four-wire (3P4W) nonlinear load while simultaneously injecting renewable power into the grid.