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Implementation and Testing a Robust Data-Repairing Method for Protection IEDs on Process Bus 过程总线上保护 IED 的稳健数据修复方法的实施与测试
IF 3.8 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-09-03 DOI: 10.1109/TPWRD.2024.3453995
Mohammad Khalili Katoulaei;Charles Mawutor Adrah;Hans Kristian Hóidalen
Modern power systems heavily rely on fast and reliable protection and control systems. However, Sample Value (SV) packets transmitted via Process Bus protocols are susceptible to delays and losses during transmission, particularly during congestion of communication networks. The vulnerability of Intelligent Electronic Devices (IEDs) to network delays and consecutive packet losses raises concerns regarding the processing of SV packets under abnormal communication conditions. This paper investigates the impact of consecutive SV packet delays and losses on transformer differential protection and IED performance. Furthermore, it proposes a novel approach called Data-Repairing for Protection IED (DRPIED), which has been implemented and tested using a Hardware-in-the-Loop setup under various load and transient conditions. The results highlight that IEDs are limited in their ability to estimate more than one missing SV packet. While one vendor's protection IED blocks beyond one missing packet for approximately 0.5 seconds, estimation errors from other vendors can result in false tripping. However, the developed DRPIED method demonstrates the capability to securely estimate up to 9 missing SV packets during load and transient fault scenarios, even with varying decaying direct current (DC) levels. Overall, this study sheds light on the challenges posed by consecutive SV delays and losses in a multi-vendor environment and presents a solution to mitigate the impact on differential protection systems.
现代电力系统在很大程度上依赖于快速可靠的保护和控制系统。然而,通过过程总线协议传输的采样值(SV)数据包在传输过程中很容易出现延迟和丢失,尤其是在通信网络拥塞的情况下。智能电子设备 (IED) 容易受到网络延迟和连续数据包丢失的影响,这引起了人们对异常通信条件下 SV 数据包处理问题的关注。本文研究了连续 SV 数据包延迟和丢失对变压器差动保护和 IED 性能的影响。此外,本文还提出了一种名为 "保护 IED 数据修复"(DRPIED)的新方法,并在各种负载和瞬态条件下使用硬件在环设置对该方法进行了实施和测试。结果表明,IED 估算一个以上 SV 丢失数据包的能力有限。一家供应商的保护 IED 可在大约 0.5 秒内阻止一个以上的丢失数据包,而其他供应商的估计错误则可能导致误跳闸。然而,所开发的 DRPIED 方法证明了在负载和瞬态故障情况下安全估计多达 9 个缺失 SV 数据包的能力,即使在直流电(DC)水平不断衰减的情况下也是如此。总之,这项研究揭示了在多供应商环境中连续 SV 延迟和丢失所带来的挑战,并提出了一种解决方案来减轻对差动保护系统的影响。
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引用次数: 0
A Novel Graphical Method for Interpretating Dissolved Gases and Fault Diagnosis in Power Transformer Based on Dynamique Axes in Circular Form 基于圆形动力轴的电力变压器溶解气体和故障诊断图解新方法
IF 3.8 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-09-03 DOI: 10.1109/TPWRD.2024.3454230
Abdelmoumene Hechifa;Chouaib Labiod;Abdelaziz Lakehal;Arnaud Nanfak;Diaa-Eldin A. Mansour
Dissolved Gas Analysis (DGA) in oil is one of the most common and reliable techniques for diagnosing and early detection of incipient faults in oil-immersed transformers. However, conventional methods often encounter conflicts and challenges in accurately interpreting DGA results. Addressing this, two novel graphical methods, Circle Method 1 and Circle Method 2, are proposed, represented by circles with movable axes at variable angles. These methods innovatively base their analysis on the convergence of samples with similar characteristics around their centers and the spacing of these centers for samples with differing characteristics. The primary purpose of these methods is to distinguish between different overlapping faults. To achieve this, advanced metaheuristic algorithms are employed to determine the optimal angles that yield the best distribution of samples. Utilizing insights from previous DGA methods and field experiences, initial fault zones within Circle Methods 1 and 2 are estimated, and precise boundaries between fault zones are established based on practical DGA data collected from multiple sources. Evaluation using IEC TC10 database of fault cases demonstrates that Circle Methods 1 and 2 exhibit superior diagnostic accuracy compared to existing methods, including the Mansour Pentagon, the Duval Pentagon, the Gouda Triangle, and the Cartesian Graphical Method. This innovation significantly enhances the interpretative capabilities of DGA, offering a more reliable tool for fault diagnosis in oil-immersed transformers.
油中溶解气体分析(DGA)是诊断和早期检测油浸式变压器初期故障的最常用、最可靠的技术之一。然而,传统方法在准确解释 DGA 结果时往往会遇到冲突和挑战。针对这一问题,我们提出了两种新颖的图形方法,即圆圈法 1 和圆圈法 2。这些方法创新性地将分析建立在具有相似特征的样本围绕其中心的趋同性和具有不同特征的样本围绕这些中心的间距上。这些方法的主要目的是区分不同的重叠断层。为此,我们采用了先进的元启发式算法来确定能产生最佳样本分布的最佳角度。利用以前的 DGA 方法和现场经验,对圈层法 1 和 2 中的初始断层带进行估计,并根据从多个来源收集的实际 DGA 数据确定断层带之间的精确边界。使用 IEC TC10 故障案例数据库进行的评估表明,与 Mansour 五角形、Duval 五角形、Gouda 三角形和笛卡尔图形法等现有方法相比,圆周法 1 和 2 显示出更高的诊断准确性。这一创新大大增强了 DGA 的解释能力,为油浸式变压器的故障诊断提供了更可靠的工具。
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引用次数: 0
Wideband Impedance Passivation of MMCs for Suppressing Harmonic Oscillations 用于抑制谐波振荡的 MMC 宽带阻抗钝化技术
IF 3.8 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-09-02 DOI: 10.1109/TPWRD.2024.3453193
Pengxiang Huang;Heng Wu;Luigi Vanfretti;Oriol Gomis-Bellmunt
Harmonic instability and associated oscillation events have become one of the main concerns in MMC-based HVdc systems. These oscillations can appear in the range from a few hundred hertz to several kilohertz, and the root cause is identified as delay-induced negative damping of MMC impedance appearing at the system resonance frequency. This paper introduces a wideband impedance reshaping method through MMC control to eliminate such negative damping for both grid-following (GFL) and grid-forming (GFM) MMCs, which makes the MMC impedance completely passive from the second harmonic frequency upward, thus preventing all harmonic oscillations. First, simplified impedance models of MMCs are derived for the harmonic stability analysis and the impedance reshaping control design. Next, a passivity-based impedance reshaping method is presented, as well as practical considerations for its implementation. In addition, to maintain the MMC's disturbance ride-through capability, an adaptive activation scheme is developed, which enables the wideband impedance reshaping control only in the presence of harmonic oscillation events. The effectiveness of the proposed method is validated by frequency domain analysis and by electromagnetic transient (EMT) simulations of two typical MMC-based power systems.
谐波不稳定性和相关振荡事件已成为基于 MMC 的高压直流系统的主要问题之一。这些振荡可能出现在几百赫兹到几千赫兹的范围内,其根本原因是在系统谐振频率下出现的 MMC 阻抗延迟引起的负阻尼。本文介绍了一种通过 MMC 控制消除负阻尼的宽带阻抗重塑方法,适用于栅追随(GFL)和栅形成(GFM)MMC,使 MMC 阻抗在二次谐波频率以上完全无源,从而防止所有谐波振荡。首先,为谐波稳定性分析和阻抗重塑控制设计推导出简化的 MMC 阻抗模型。接着,介绍了一种基于被动性的阻抗重塑方法,以及实施该方法的实际考虑因素。此外,为了保持 MMC 的抗干扰能力,还开发了一种自适应激活方案,只有在出现谐波振荡事件时才能进行宽带阻抗重整形控制。通过对两个基于 MMC 的典型电力系统进行频域分析和电磁暂态 (EMT) 模拟,验证了所提方法的有效性。
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引用次数: 0
An Estimation Method for Soft Fault Reflection Coefficient of Power Cable Based on Sliding-Window TLS-ESPRIT 基于滑动窗口 TLS-ESPRIT 的电力电缆软故障反射系数估算方法
IF 3.8 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-09-02 DOI: 10.1109/TPWRD.2024.3452779
Zhirong Tang;Kai Zhou;Yefei Xu;Pengfei Meng;Hongzhou Zhang
Reflection coefficient is important to evaluate the characteristics of power cable soft faults. Thus, a reflection coefficient estimation method based on sliding-window total least squares (TLS) estimation of signal parameters via rotational invariance techniques (ESPRIT) is proposed. The idea of this method is to transform random signals of cable transfer function (CTF) into array signals with deterministic auto-correlation function, then precisely locate and evaluate soft faults by using TLS-ESPRIT estimation of CTF parameters. First, the two intrinsic mode functions (IMF) signals, which are the reflected waves of the test terminal and the cable body, are separated from the CTF by variational mode decomposition (VMD). Then, the IMFs were intercepted into continuous subintervals, and the frequency and attenuation factor contained in each subinterval were estimated by ESPRIT, and the amplitude and phase were estimated by TLS. Next, the reflection coefficient is calculated by decoupling the amplitude and phase. Finally, in the simulation, the amplitude relative error and phase relative error of the soft fault reflection coefficient estimated by the proposed method are less than 6% and 5%, respectively. And the feasibility of the proposed method is verified by field cases.
反射系数对于评估电力电缆软故障的特征非常重要。因此,提出了一种基于滑动窗全最小二乘(TLS)估计信号参数的旋转不变性技术(ESPRIT)反射系数估计方法。该方法的理念是将电缆传递函数(CTF)的随机信号转换为具有确定性自相关函数的阵列信号,然后通过 TLS-ESPRIT 估算 CTF 参数来精确定位和评估软故障。首先,通过变异模态分解(VMD)从 CTF 中分离出两个本征模态函数(IMF)信号,即测试终端和电缆本体的反射波。然后,将 IMF 截取成连续的子区间,用 ESPRIT 估算每个子区间所包含的频率和衰减系数,用 TLS 估算振幅和相位。然后,通过解耦振幅和相位来计算反射系数。最后,在仿真中,用提出的方法估算的软故障反射系数的振幅相对误差和相位相对误差分别小于 6% 和 5%。并通过现场案例验证了所提方法的可行性。
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引用次数: 0
Influence of Induction Machine Loads on Islanding Detection by Inverter-Based Distributed Generation 感应器负载对基于逆变器的分布式发电设备孤岛检测的影响
IF 3.8 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-09-02 DOI: 10.1109/TPWRD.2024.3452775
Junji Kondoh
An inverter-based distributed generation system with an interface unit called power conditioning subsystem (PCS) is required to prevent unintentional islanding immediately. Although the run-on time increases in a local isolated grid that includes an induction machine, the mechanism has not been clarified. In this study, first, an anti-islanding test system used for the PCS certification test in Japan was set up, and it was found that most of the reactive power provided by the PCS to promote frequency deviations was absorbed by the connected induction machine. Second, a modified equivalent circuit of a three-phase induction machine was proposed to simulate their behaviors numerically. The simulation results showed good agreement with the experimental results. Especially, the transient absorption of negative reactive power by the induction machine was accurately reproduced. Third, to investigate the mechanism behind the prolongation of the run-on time, the influence of the inertia of the induction machine was analyzed. It was found that there are worst values of moment of inertia that cause the least frequency fluctuation and the longest run-on time under respective islanding conditions. The results of this study contribute to a better understanding of the behavior and influence of induction machines under an islanding condition.
基于逆变器的分布式发电系统需要配备一个称为功率调节子系统(PCS)的接口单元,以立即防止意外孤岛。虽然在包含感应机的局部隔离电网中,运行时间会增加,但其机理尚未明确。在这项研究中,首先建立了一个用于日本 PCS 认证测试的防孤岛测试系统,发现 PCS 为促进频率偏差而提供的无功功率大部分被连接的感应机吸收。其次,提出了一种改进的三相感应机等效电路,以数值模拟其行为。仿真结果与实验结果吻合。特别是感应机对负无功功率的瞬态吸收得到了准确再现。第三,为了研究运行时间延长背后的机理,分析了感应机惯性的影响。结果发现,在各自的孤岛条件下,有最差的惯性矩值可导致最小的频率波动和最长的运行时间。这项研究的结果有助于更好地理解感应机在孤岛状态下的行为和影响。
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引用次数: 0
Non-Invasive Approach to Harmonic Responsibility Assignment Based on Conservative Power Theory 基于保守力量理论的非侵入式和谐责任分配法
IF 3.8 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-29 DOI: 10.1109/TPWRD.2024.3451791
Matheus B. Arcadepani;Alexandre C. Moreira;Helmo K. Morales-Paredes
This letter introduces a novel approach to responsibility assignment in harmonic generation, grounded in Conservative Power Theory (CPT). The methodology is derived through an analysis of the CPT's residual current component. To demonstrate the effectiveness of the approach, a comparison is carried out with the methodologies presented in (Gianesini et al., 2023), revealing that, although the interpretations are analogous, the proposed approach stands out for its remarkable simplicity and ease of implementation, providing significant advantages in terms of practical application. In contrast to methods documented in the literature, the method proposed in this letter exclusively utilizes voltage and current measurements obtained at a single point, thus characterizing it as a non-invasive method. This characteristic eliminates the need to determine the harmonic impedances of the system or install passive or active elements.
这封信介绍了一种基于保守电力理论(CPT)的谐波产生责任分配新方法。该方法是通过分析 CPT 的剩余电流成分得出的。为了证明该方法的有效性,我们将其与(Gianesini 等人,2023 年)中提出的方法进行了比较,结果表明,虽然两者的解释相似,但所提出的方法却具有显著的简便性和易实施性,在实际应用方面具有显著优势。与文献中记载的方法不同,本信中提出的方法完全利用在单点获得的电压和电流测量值,因此是一种非侵入式方法。这一特点使其无需确定系统的谐波阻抗,也无需安装无源或有源元件。
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引用次数: 0
Regional Fault Location of Distribution Network Based on Distributed Observation and Fusion of Multi-Source Evidence 基于分布式观测和多源证据融合的配电网络区域故障定位
IF 3.8 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-28 DOI: 10.1109/TPWRD.2024.3450916
Miaomiao Zhou;Mengshi Li;Xiaosheng Xu;Qinghua Wu
This paper proposes a multi-source evidence generation strategy (MEGS) that utilises distributed measurements to train a multi-classification support vector machine (SVM) for each observer. An observer employs time-frequency analysis to transform local current signals into feature samples, which serve as inputs to the SVM. The output of the SVM is then subjected to grey relational analysis and a voting mechanism to determine the probability of observers in identifying faults within the section. Due to the inherent uncertainty and variability of faults, the direct application of Dempster-Shafer theory (D-S theory) may result in diagnostic inaccuracies. To address this issue, we introduce an evidence fusion approach based on propositional consistency and evidence consistency (PCEC). Simulation results demonstrate that PCEC significantly enhances diagnostic accuracy beyond that achieved by individual classifiers, with an accuracy of 99.41% under ideal conditions. Factors such as load variations, sampling errors, or single observer errors may affect the quality of the evidence. However, the PCEC is effective in improving diagnostic accuracy. Further ablation studies and comparative analyses with other fusion methods validate the proposed modifications to the D-S theory as both reasonable and superior in terms of accuracy.
本文提出了一种多源证据生成策略(MEGS),利用分布式测量为每个观测器训练一个多分类支持向量机(SVM)。观测器利用时频分析将本地电流信号转换为特征样本,作为 SVM 的输入。然后,SVM 的输出会经过灰色关系分析和投票机制,以确定观测器识别区段内故障的概率。由于故障固有的不确定性和可变性,直接应用 Dempster-Shafer 理论(D-S 理论)可能会导致诊断不准确。为解决这一问题,我们引入了一种基于命题一致性和证据一致性(PCEC)的证据融合方法。仿真结果表明,PCEC 显著提高了诊断准确率,超过了单个分类器所能达到的准确率,在理想条件下准确率高达 99.41%。负载变化、采样误差或单个观察者误差等因素可能会影响证据的质量。不过,PCEC 能有效提高诊断准确性。进一步的消融研究以及与其他融合方法的比较分析验证了对 D-S 理论的修改建议是合理的,而且在准确性方面更胜一筹。
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引用次数: 0
An Experimental Circuit Breaker for Benchmarking the Intrinsic Interruption Performance of $mathrm{{SF}}_{6}$ Alternative Gas Mixtures 用于确定 SF6 替代气体混合物内在中断性能基准的实验断路器
IF 3.8 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-28 DOI: 10.1109/TPWRD.2024.3451235
Mahir Muratovic;Joseph T. Engelbrecht;Philipp Simka;Paweł Pietrzak;Fabian Mächler;Stefan Erismann;Christian M. Franck
Currently, there is significant effort worldwide in the research and development of $mathrm{{SF}}_{6}$-free high-voltage circuit breakers, both in academia and industry. One of the most important switching capabilities is thermal current interruption, a process that, in modern self-blast breakers, strongly depends on the coupled effects of nozzle geometry, nozzle ablation, backheating, pressure build-up and gas outflow, as well as contact and puffer cylinder motion actuated through the drive. Previously published investigations on the thermal interruption performance of novel switching gases have used such designs, however, due to the many coupled processes, it is not possible to control the interruption conditions in order to make a full and comparative evaluation of different $mathrm{{SF}}_{6}$ alternative gas mixtures. The aim of the present contribution is to present an experimental circuit breaker tailored for use in basic experiments that allow for an unbiased comparison of properties of alternative gas mixtures relevant for current interruption. The breaker is based on a novel puffer design with an overpressure relief valve that allows the contact stroke and blow pressure to be predicted, controlled and adjusted over a wide parameter range at current zero. This contribution lists the requirements for such an experimental circuit breaker and focuses on its design realization. Experimental validation is given that this device can be used in benchmarking the interruption characteristics of $mathrm{{SF}}_{6}$ alternatives. Systematic comparison of the thermal interruption performance of $mathrm{{SF}}_{6}$ alternatives and investigations of the processes around current zero will be reported in other publications.
目前,全球学术界和工业界都在大力研发无$mathrm{{SF}}_{6}$高压断路器。热电流中断是最重要的开关功能之一,在现代自喷断路器中,这一过程在很大程度上取决于喷嘴几何形状、喷嘴烧蚀、背热、压力积聚和气体流出,以及通过驱动器驱动的接触和膨化筒运动的耦合效应。以前发表的关于新型切换气体热中断性能的研究都使用了这种设计,但是,由于存在许多耦合过程,因此无法控制中断条件,从而无法对不同的 $mathrm{{SF}}_{6}$ 替代混合气体进行全面的比较评估。本论文旨在介绍一种专为基础实验量身定制的实验断路器,以便对与电流中断相关的替代混合气体的特性进行无偏见的比较。该断路器基于新颖的膨化器设计,带有超压释放阀,可在电流为零的宽参数范围内预测、控制和调整接触冲程和吹气压力。本文列出了这种实验性断路器的要求,并重点介绍了其设计实现。实验验证了该装置可用于$mathrm{{SF}}_{6}$替代品断路特性的基准测试。对 $mathrm{{SF}}_{6}$ 替代品的热中断性能进行系统比较以及对电流零点附近过程的研究将在其他出版物中报道。
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引用次数: 0
Short-Line Fault Interruption Performance Comparison of SF$_{6}$ Alternatives SF6 替代品的短线路故障中断性能比较
IF 3.8 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-28 DOI: 10.1109/TPWRD.2024.3451178
Paweł Pietrzak;Joseph T. Engelbrecht;Deepshikha Kumari;Christian M. Franck
Measurements of the interruption performance of SF<inline-formula><tex-math>$_{6}$</tex-math></inline-formula> and its alternatives including air, CO<inline-formula><tex-math>$_{2}$</tex-math></inline-formula>, and its mixtures with O<inline-formula><tex-math>$_{2}$</tex-math></inline-formula>, C<inline-formula><tex-math>$_{4}$</tex-math></inline-formula>F<inline-formula><tex-math>$_{7}$</tex-math></inline-formula>N, and C<inline-formula><tex-math>$_{5}$</tex-math></inline-formula>F<inline-formula><tex-math>$_{10}$</tex-math></inline-formula>O were performed under short-line fault like conditions. The measurements were conducted with an experimental puffer-type circuit breaker in which the same upstream pressure and the same contact separation at the current zero instant were ensured for every gas. At <inline-formula><tex-math>$Delta p = text{5.8 bar}$</tex-math></inline-formula>, the interruption limit of SF<inline-formula><tex-math>$_{6}$</tex-math></inline-formula> was found to be <inline-formula><tex-math>$text{12.39 A}/ mu text{s}$</tex-math></inline-formula>. In the CO<inline-formula><tex-math>$_{2}$</tex-math></inline-formula>-based alternatives at the same pressure, the thermal interruption limit was found to range from <inline-formula><tex-math>$text{9.01 A}/ mu text{s},text{to}, text{9.46 A}/ mu text{s}$</tex-math></inline-formula>, while in air an interruption limit of <inline-formula><tex-math>$text{4.17 A}/ mu text{s}$</tex-math></inline-formula> was identified. Despite the similar thermal performance among CO<inline-formula><tex-math>$_{2}$</tex-math></inline-formula> based mixtures, it was found that in those mixtures without fluorinated additives, the overall interruption limit is lowered by the occurrence of hot dielectric failures. Limit values of the arc conductance decay, G200 and G500, were found to be <inline-formula><tex-math>$text{1.44 mS}$</tex-math></inline-formula> and <inline-formula><tex-math>$text{3.83 mS}$</tex-math></inline-formula> respectively in SF<inline-formula><tex-math>$_{6}$</tex-math></inline-formula>, while in the alternatives these limit values ranged from two to six times lower. Arc voltage extinction peak was also evaluated, with SF<inline-formula><tex-math>$_{6}$</tex-math></inline-formula> found to have the lowest limit value at <inline-formula><tex-math>$text{628 V}$</tex-math></inline-formula>, and air found to have the highest at <inline-formula><tex-math>$text{1535 V}$</tex-math></inline-formula>. Post-arc current was also measured, and found to not exceed <inline-formula><tex-math>$text{350 mA}$</tex-math></inline-formula> in any gas, with a duration limited to <inline-formula><tex-math>$text{9}; mu text{s}$</tex-math></inline-formula> or less. Gas analysis of two fluorinated CO<inline-formula><tex-math>$_{2}$</tex-math></inline-formula> mixtures (CO<inline-formula><tex-math>$_{2}$</tex-math></inline-formula>/C<inline-formula><tex-math>$_{4}$</tex
在类似短线故障的条件下,对 SF$_{6}$ 及其替代品(包括空气、CO$_{2}$ 及其与 O$_{2}$、C$_{4}$F$_{7}$N 和 C$_{5}$F$_{10}$O 的混合物)的中断性能进行了测量。测量使用的是实验性膨化器式断路器,在该断路器中,每种气体的上游压力和电流零点瞬间的触头分离度都是相同的。在 $Delta p = text{5.8 bar}$ 时,发现 SF$_{6}$ 的中断极限为 $text{12.39 A}/ mu text{s}$。在相同压力下,基于 CO$_{2}$ 的替代品的热中断极限为 $text{9.01 A}/ mu text{s}text{to}text{9.46 A}/ mu text{s}$,而在空气中的中断极限为 $text{4.17 A}/ mu text{s}$。尽管基于 CO$_{2}$ 的混合物具有相似的热性能,但研究发现,在不含氟添加剂的混合物中,由于热介质失效的发生,整体中断极限会降低。在 SF$_{6}$ 中,电弧电导衰减的极限值 G200 和 G500 分别为 $text{1.44 mS}$ 和 $text{3.83 mS}$,而在替代品中,这些极限值低 2 到 6 倍不等。还评估了电弧电压消散峰值,发现 SF$_{6}$ 的最低限值为 $text{628V}$,而空气的最高限值为 $text{1535V}$。还测量了弧后电流,发现任何气体中的弧后电流都不会超过 $text{350 mA}$,持续时间限制在 $text{9}; mu text{s}$ 或更短。对两种含氟 CO$_{2}$ 混合物(CO$_{2}$/C$_{4}$F$_{7}$N 和 CO$_{2}$/O$_{2}$/C$_{4}$F$_{7}$N)进行的气体分析表明,氧气对副产品的产生没有显著影响。
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引用次数: 0
Optimizing Transformer Fault Detection Performance Through the Synergy of AI and Statistical Analysis for Multi-Fault Classification 通过多故障分类的人工智能和统计分析协同作用优化变压器故障检测性能
IF 3.8 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-26 DOI: 10.1109/TPWRD.2024.3449389
Dhruba Kumar;Saurabh Dutta;Hazlee Azil Illias
The recent development of artificial intelligence (AI) has opened new avenues in processing parts per million (ppm) for fault detection through dissolved gas analysis (DGA). According to the latest IEC and IEEE standards, the existing methods are only applicable on single fault occurrence. The paper focuses on the challenge of detecting multiple faults occurring simultaneously in cases involving many faults using AI. Further, an inadequate training sample for classification and unavailability of balanced per-fault data reduces the model generalization, increases the risk of overfitting and biased learning towards the majority class. The proposed approach involves normalizing raw ppm values using z-score normalization, reducing dimensionality through t-distributed stochastic neighbor embedding (t-SNE), and synthesizing data using a generative adversarial network (GAN). Additionally, the parameters of error-correcting output codes (ECOC) and forest classifiers are optimized using a genetic algorithm (GA), efficiently solving multiple faults. F1 score, area under curve (AUC), and k-fold loss are used to evaluate fitness for improved classifier performance. This method outperforms the Duval method, and the data synthesis represents a new contribution to the field. The proposed method can achieve an overall accuracy of 99.6%, 98.6%, and 97.3% for the 9, 15, and 31 classes, respectively.
人工智能(AI)的最新发展为通过溶解气体分析(DGA)处理百万分之一(ppm)故障检测开辟了新途径。根据最新的 IEC 和 IEEE 标准,现有方法仅适用于单个故障的发生。本文重点讨论了在涉及多个故障的情况下使用人工智能检测同时发生的多个故障所面临的挑战。此外,用于分类的训练样本不足以及无法获得均衡的每个故障数据会降低模型的泛化程度,增加过拟合的风险,并使学习偏向于大多数类别。所提出的方法包括使用 z 分数归一化对原始 ppm 值进行归一化,通过 t 分布随机邻域嵌入(t-SNE)降低维度,以及使用生成式对抗网络(GAN)合成数据。此外,还利用遗传算法(GA)优化了纠错输出代码(ECOC)和森林分类器的参数,有效地解决了多种故障。F1 分数、曲线下面积(AUC)和 k 倍损失用于评估改进分类器性能的适应性。该方法优于 Duval 方法,而且数据合成是对该领域的新贡献。对于 9 类、15 类和 31 类,拟议方法的总体准确率分别达到 99.6%、98.6% 和 97.3%。
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IEEE Transactions on Power Delivery
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