Dynamic Analysis of Photovoltaic to Virtual Bus Parallel Differential Power Processing Architecture

IF 7.2 1区 工程技术 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Electronics Pub Date : 2025-01-28 DOI:10.1109/TIE.2025.3528473
Afshin Nazer;Olindo Isabella;Patrizio Manganiello
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Abstract

Photovoltaic (PV) to virtual bus parallel differential power processing (PDPP) architecture can mitigate mismatch losses among PV strings. This article presents a comprehensive dynamic analysis by deriving a small-signal model of the PDPP architecture based on its state space model. Subsequently, the corresponding transfer functions and frequency response are obtained, offering valuable insights into the dynamic behavior of the architecture. To validate the accuracy of the derived model, the frequency response has also been achieved by observed data from both PLECS simulation and experiment through system identification. Besides, this article discusses the design considerations of the discrete controllers’ parameters for both virtual and intermediate bus voltages and studies the stability of the architecture. Experimental measurements confirm the ability of the central controller to stabilize the virtual bus voltage to the desired level within 0.6 seconds, while the intermediate bus voltages settle within 15 ms, enabling proper maximum power point tracking of each PV string.
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光伏-虚拟母线并联差分功率处理体系的动态分析
光伏到虚拟母线并联差分功率处理(PDPP)架构可以减轻光伏串之间的失配损耗。本文基于PDPP体系结构的状态空间模型,推导了其小信号模型,进行了全面的动态分析。随后,得到了相应的传递函数和频率响应,为结构的动力行为提供了有价值的见解。为了验证推导模型的准确性,通过系统辨识,利用PLECS仿真和实验的观测数据获得了频率响应。此外,本文还讨论了虚拟和中间母线电压下离散控制器参数的设计考虑,并研究了该结构的稳定性。实验测量证实,中央控制器能够在0.6秒内将虚拟母线电压稳定到所需水平,而中间母线电压在15毫秒内稳定下来,从而实现每个PV串的最大功率点跟踪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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