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用于捕捉线头的实时运行数据分析表明了并网光伏集中逆变器的故障原因。

Real-time mode of operation data analysis to catch the thread-tip denotes the failure cause of the grid-tie PV central inverter.

作者信息

Hassan Youssef Badry, Orabi Mohamed, Gaafar Mahmoud A

机构信息

Aswan Power Electronic Applications Research Center (APEARC), Aswan University, Aswan, 81542, Egypt.

出版信息

Sci Rep. 2023 Sep 8;13(1):14821. doi: 10.1038/s41598-023-41520-8.

DOI:10.1038/s41598-023-41520-8
PMID:37684241
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10491588/
Abstract

The inverter is considered the core of the PV power plant. The inverter's failure leads to generation loss and decreases plant availability. So, it is required to investigate a clear Root Cause Analysis (RCA) to deduce the failure causes and implement the required corrective action in addition to the preventive action to avoid more inverter failure, hereby maintaining the plant available to a certain value. This paper discusses real-time mode operation data analysis of the PV grid-connected inverter due to real central inverter incidents in Benban solar park located in Egypt.The central inverter plays an important role in the Mega-Scale PV power plant. The main function of this inverter is to convert the DC power produced by the PV modules to AC power to be injected into the utility grid by considering specific characteristics based on the grid code. The availability of any PV power plant directly depends on the healthy inverter's operation. The more increases for the installed inverters, the less availability loss in the case of inverter partial or catastrophic failures. So, it is required to focus on the failure causes of the central inverter by implementing a technical analysis using the available operational data. The monitored data of the central inverter in the PV power plant is classified into two types. The first type is the continuous time data stored in the memory. It represents the waveforms of inverter outputs like voltage, current, frequency, …. etc. Unfortunately, in case of a catastrophic failure, the central inverter is completely charred, and the continuous time data is lost due to storage memory damage. The second type is the operation data that is recorded by the SCADA system (per one-minute interval). Hereby, the operation data is the sole data in the case of the completely charred inverter. The representation of the operational data in curves indicates symptoms that can be used for the RCA processes. The investigation outcomes include three results. The first result is detecting the signature of the IGBT thermal stress on the voltage balance of the DC link capacitor. The second result is verifying a scenario for the cause of the IGBT failure by implementing a technical mathematical model based on the detected symptoms that denote the fault signature which is considered the thread-tip for detecting the failure cause. The third result is the simulating scenario for the interpretation of a DC link capacitors explosion due to the short circuit fault that occurred due to IGBT failure. The investigation in this paper is performed based on operation data analysis of the PV grid-connected inverter (central type) due to a real incident. The analysis methodology is based on mathematical calculation for the IGBT junction temperature using the measured heatsink temperature. The study concludes that after the IGBT failure occurred, it was a short circuit for a while and closed the terminals of the DC link capacitors. So, the DC link capacitors exploded and produced heavy sparks that led to enough fire to burn the inverter container completely.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5be/10491588/6e2574b20cc7/41598_2023_41520_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5be/10491588/503f006c4776/41598_2023_41520_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5be/10491588/74dae731ce52/41598_2023_41520_Fig5_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5be/10491588/7188cbaf8c11/41598_2023_41520_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5be/10491588/f964540cbdcb/41598_2023_41520_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5be/10491588/ee4bf20b7cb3/41598_2023_41520_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5be/10491588/2886a7aa18da/41598_2023_41520_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5be/10491588/7874c54458ad/41598_2023_41520_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5be/10491588/a1e35f922a1c/41598_2023_41520_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5be/10491588/6e2574b20cc7/41598_2023_41520_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5be/10491588/503f006c4776/41598_2023_41520_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5be/10491588/f11fe5a82113/41598_2023_41520_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5be/10491588/0d61727141dd/41598_2023_41520_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5be/10491588/8716061dbf2d/41598_2023_41520_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5be/10491588/74dae731ce52/41598_2023_41520_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5be/10491588/adc798950bcb/41598_2023_41520_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5be/10491588/7188cbaf8c11/41598_2023_41520_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5be/10491588/f964540cbdcb/41598_2023_41520_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5be/10491588/ee4bf20b7cb3/41598_2023_41520_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5be/10491588/2886a7aa18da/41598_2023_41520_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5be/10491588/7874c54458ad/41598_2023_41520_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5be/10491588/a1e35f922a1c/41598_2023_41520_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5be/10491588/6e2574b20cc7/41598_2023_41520_Fig13_HTML.jpg
摘要

逆变器被视为光伏电站的核心。逆变器发生故障会导致发电损失并降低电站可用性。因此,需要进行明确的根本原因分析(RCA)以推断故障原因,并除采取预防措施外实施所需的纠正措施,以避免更多逆变器故障,从而将电站可用性维持在一定水平。本文讨论了由于埃及本板太阳能公园实际发生的中央逆变器事故而对光伏并网逆变器进行的实时模式运行数据分析。中央逆变器在大型光伏电站中起着重要作用。该逆变器的主要功能是根据电网规范的特定特性,将光伏模块产生的直流电转换为交流电,以便注入公用电网。任何光伏电站的可用性直接取决于健康的逆变器运行情况。安装的逆变器数量增加越多,在逆变器部分或灾难性故障情况下的可用性损失就越小。因此,需要通过利用可用的运行数据进行技术分析,来关注中央逆变器的故障原因。光伏电站中中央逆变器的监测数据分为两类。第一类是存储在内存中的连续时间数据。它表示逆变器输出的波形,如电压、电流、频率等。不幸的是,在发生灾难性故障时,中央逆变器会完全烧焦,由于存储内存损坏,连续时间数据会丢失。第二类是由SCADA系统记录的运行数据(每分钟间隔)。因此,在中央逆变器完全烧焦的情况下,运行数据是唯一的数据。运行数据以曲线形式表示的症状可用于RCA过程。调查结果包括三个方面。第一个结果是检测IGBT热应力对直流链路电容器电压平衡的影响特征。第二个结果是通过基于检测到的表示故障特征的症状实施技术数学模型,来验证IGBT故障原因的一种情况,该故障特征被视为检测故障原因的线索。第三个结果是模拟由于IGBT故障导致短路故障而引起直流链路电容器爆炸的情况。本文的调查是基于一次实际事故对光伏并网逆变器(中央型)的运行数据分析进行的。分析方法是根据测量的散热器温度对IGBT结温进行数学计算。研究得出结论,在IGBT发生故障后,有一段时间出现了短路,关闭了直流链路电容器的端子。因此,直流链路电容器爆炸并产生强烈火花,引发了足以将逆变器容器完全烧毁的火灾。

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