混合配电变压器直流分路电容电压平衡控制

IF 7.2 1区 工程技术 Q1 AUTOMATION & CONTROL SYSTEMS
Yibin Liu;Yanting Xue;Deliang Liang;Zihan Kong
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引用次数: 0

摘要

直流分路电容器的电压不平衡将破坏混合配电变压器的正常运行。本文在推导HDT直流链路动态模型的基础上,揭示了负载电流的直流分量、调制直流偏置、采样直流偏置以及电容参数推导是导致电压不平衡的主要因素,而主动控制电网电流零序分量是消除电压不平衡的简单而关键的方法。针对这些问题,提出了基于比例积分(PI)控制器的分体式电容电压平衡控制策略。为了消除静态误差,提高系统的动态性能,在PI控制器中加入了准谐振调节器和负载中性电流前馈,从而形成了一种新的控制器。仿真和实验结果验证了该控制策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DC-Link Split Capacitors Voltage Balancing Control of Hybrid Distribution Transformer
The dc-link split capacitors’ voltage unbalance will damage the normal operation of a hybrid distribution transformer (HDT). Based on the derived dynamic models related to the dc-link of HDT, this article reveals that the dc component of the load currents, modulating dc bias, sampling dc bias, and the capacitors parameters derivation are the main factors leading to the voltages unbalancing, and the active control of the grid currents’ zero-sequence component is a simple and key method to eliminating this unbalance. To address these, the split capacitors’ voltage balancing control strategy with proportional-integral (PI) controller is developed. To eliminate the static error and improve the system’s dynamic performance, the quasi-resonant regulators and load-neutral current feed-forward are added to the PI controller, thus formulating a novel controller. Simulation and experimental results validate the effectiveness of the proposed novel control strategy.
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来源期刊
IEEE Transactions on Industrial Electronics
IEEE Transactions on Industrial Electronics 工程技术-工程:电子与电气
CiteScore
16.80
自引率
9.10%
发文量
1396
审稿时长
6.3 months
期刊介绍: Journal Name: IEEE Transactions on Industrial Electronics Publication Frequency: Monthly Scope: The scope of IEEE Transactions on Industrial Electronics encompasses the following areas: Applications of electronics, controls, and communications in industrial and manufacturing systems and processes. Power electronics and drive control techniques. System control and signal processing. Fault detection and diagnosis. Power systems. Instrumentation, measurement, and testing. Modeling and simulation. Motion control. Robotics. Sensors and actuators. Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems. Factory automation. Communication and computer networks.
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