Article
Engineering, Electrical & Electronic
M. S. Coutinho, L. R. G. S. Lourenco Novo, M. T. de Melo, L. H. A. de Medeiros, D. C. P. Barbosa, M. M. Alves, V. L. Tarrago, R. G. M. dos Santos, H. B. T. D. Lott Neto, P. H. R. P. Gama
Summary: This paper introduces a field application system for detecting structural faults on anchor rods of cable-stayed towers of power transmission lines using frequency domain reflectometry analysis. A machine learning structure was developed to classify the buried rods into normal or faulty, achieving an accuracy greater than 98%, making the system reliable and feasible for predictive maintenance of ground-anchored metallic rods.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Energy & Fuels
Zhaoliang Gu, Mengzhao Zhu, Qihui Cui, Mu Qiao, Wenbing Zhu, Qingdong Zhu, Longlong Li, Mingming Han
Summary: This paper studies the FDS modeling and parameter identification of transformer bushing, and finds that the extended Debye model and parameter identification algorithm can accurately model the frequency domain dielectric response of transformer bushing and provide an effective tool for more accurate analysis of transformer bushings insulation state.
Article
Computer Science, Interdisciplinary Applications
Cong Xiao, Olwijn Leeuwenburgh, Hai Xiang Lin, Arnold Heemink
Summary: A reduced order modeling algorithm is proposed for estimating space varying parameter patterns in numerical models. Domain decomposition is used to construct separate approximations in each subdomain, with a new local parameterization to decouple computational cost from global principal components. This approach drastically reduces the number of full order simulations needed for deriving reduced order models, with optimal local parameter patterns projected onto global patterns to avoid non-smoothness at subdomain boundaries.
JOURNAL OF COMPUTATIONAL PHYSICS
(2021)
Article
Energy & Fuels
Haoxiang Zong, Jing Lyu, Xiao Wang, Chen Zhang, Ruifang Zhang, Xu Cai
Summary: This paper presents a wideband grey-box aggregation model of wind farms and a parameter identification method, addressing the risks posed by power electronic converter-based wind farms on the small-signal stability of the modern power system. The identified aggregation model shows good conformity with the large scope frequency characteristics of detailed wind farms, suitable for wideband oscillation analysis. By studying the trajectory sensitivity and wideband characteristics of wind farms, a reduced-order grey-box aggregation model is established in different frequency bands.
Article
Engineering, Electrical & Electronic
Jing Yuan, Ze Yao, Qian Zhao, Yiyu Xu, Chao Li, Huiming Jiang
Summary: This article proposes a novel TF analysis method called "dual-core denoised SST", which utilizes dual-core denoising and multistep denoising strategy to accurately extract time-frequency features of gear faults. The effectiveness of the method is verified through repeatable simulations and engineering applications.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Review
Energy & Fuels
Maheshwari Adaikkappan, Nageswari Sathiyamoorthy
Summary: Extension of driving range and battery run time optimization are crucial in Electric Vehicle (EV) modeling, with Battery Management System (BMS) playing a major role in ensuring safe and reliable battery operation. Accurate State of Charge (SoC) estimation requires a well-parameterized battery model, and various battery models and SoC estimation techniques are reviewed for effective BMS development in EVs.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Guodong Feng, Chunyan Lai, Xiaojun Tan, Weiwen Peng, Narayan C. Kar
Summary: This article investigates accurate flux linkages, inductances, and PM flux linkage estimation for permanent magnet synchronous machine (PMSM) drive. Through proposing a novel differential modeling technique to compensate core loss, the accuracy of flux linkage estimation can be improved.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Transportation Science & Technology
Jinlong Li, Zhigang Xu, Lan Fu, Xuesong Zhou, Hongkai Yu
Summary: The article explores how to utilize daytime images to assist in nighttime vehicle detection, proposing a situation-sensitive method based on Faster R-CNN and domain adaptation. Experimental results using new datasets demonstrate the accuracy and effectiveness of the proposed method.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Energy & Fuels
Tao Zhou, Zicheng Liu, Hua Ye, Bixing Ren, Yan Xu, Yi Liu
Summary: This paper investigates the frequency support ability of induction machines in the low-inertia power system, which is a result of the rapid development of renewable energy and High Voltage Direct Current (HVDC). The time-varying characteristics of the effective inertia of induction machines are analyzed, and an evaluation model is proposed to quantify the inertial support ability of dynamic loads. Simulation results on MATLAB/Simulink platform validate the proposed model's correctness and effectiveness.
Article
Automation & Control Systems
Yun Feng, Yaonan Wang, Qin Wan, Xiaogang Zhang, Bing-Chuan Wang, Han-Xiong Li
Summary: So far, fault detection for distributed parameter systems (DPSs) has been mostly model-based and heavily reliant on prior known model information, limiting their usability in industrial applications. In this article, a brand-new framework is proposed for online systems modeling and fault detection of unknown high-dimensional DPSs. The framework includes an interaction between the two parts, where the systems modeling error is transformed into residual signals for fault detection and the online modeling switches to offline mode based on fault-detection results. The effectiveness of the proposed method is validated through experiments on sensor fault diagnosis for the thermal process of a 2-D battery cell.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Energy & Fuels
Shixun Mo, Xiaofeng Mo, Zhipeng Lv, Qintao Ye, Gengyu Shen
Summary: In this study, a method combining the phase component method and the Laplace transform is used to accurately calculate the transient response of faults in transmission lines, considering the initial energy storage. The method accurately reflects transient components at different frequencies and is suitable for transient studies and steady-state analysis.
Article
Automation & Control Systems
Xiao Zhang, Hao Luo, Kuan Li, Okyay Kaynak
Summary: This article proposes a novel time-domain frequency estimation approach based on the subspace identification method and verifies its effectiveness in frequency estimation and fault diagnosis performance through numerical simulations and experimental measurements.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Computer Science, Information Systems
Anna Pfendler, Rafael Steppan, Jutta Hanson
Summary: In an interconnected power system, frequency control and stability are crucial for system-wide active power balance. As traditional power plants shut down, the importance of electrical frequency estimation methods grows due to increased frequency changes and gradient. This study implements, compares, and analyzes the robustness of different frequency estimation methods, such as Phase-Locked Loop and Zero-Crossing, Gauss-Newton, and recursive Gauss-Newton methods. The parameters of these methods are tuned for different scenarios in a medium-voltage testbench, demonstrating a linear correlation between the sensitive parameters and active power imbalance magnitude.
Article
Mathematics
Yuan Yuan, Xiaodong Xu, Stevan Dubljevic
Summary: A new adaptive fault estimation scheme is proposed for a class of hyperbolic partial differential equations, considering multiplicative actuator and sensor faults. By addressing three challenges in fault estimation and verifying its effectiveness, the proposed scheme provides a method to estimate fault parameters and state parameters under unknown external disturbance.
Article
Automation & Control Systems
Hang Zhou, Jiaxin Yuan, Fan Chen
Summary: A hybrid-material based fault current limiter (HMFCL) is proposed in this article to address the demagnetization problem of the PM and compromised fault limiting inductance value caused by the inserted PMs in a high voltage direct current system. Through reconstructing the iron core topology and substituting different soft magnetic materials with their hybrid benefits, the HMFCL can present instant change in fault limiting inductance value without threating the safety of the PMs. The Jiles-Atherton hysteresis modeling technique is applied on the HMFCL and its parameters are optimized using genetic algorithm, proving the effectiveness of the HMFCL in limiting the fault current by over 80% compared with traditional smoothing reactor through various simulations and prototype experiment.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
