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Oscillation Theories in Various Systems and Detection in Power Systems Using Prony Analysis

Transactions of the Korean Institute of electrical Engineers 2025年第3期74卷 377-384页

作者： Choi, Yoon-Seong Lee, Dongho Dept. of Electrical and Control Engineering Mokpo National University Korea Republic of Dept. of Electrical Engineering Mokpo National University Korea Republic of

The integration of inverter-based renewable energy sources in power systems affects frequency stability and oscillation characteristics, posing challenges to system reliability. Complex interactions between generators' dynamic behaviors and transient electrical flows complicate oscillation detection. This study reviews oscillation theories, such as the spring-mass system and radio frequency oscillation, which help explain oscillation mechanisms but are limited in detecting power system oscillations. To address this, the study applies Prony analysis, which models time-series data as a sum of exponential functions, and compares it with RMS Energy Filtering. The proposed algorithm, combining these methods, is tested on real power system data from the U.S., successfully detecting primary oscillation modes and damping characteristics. The results highlight the method's accuracy in identifying critical oscillation frequencies and the importance of selecting an appropriate order in Prony analysis to prevent overfitting or underfitting. Copyright © The Korean Institute of electrical Engineers.

关键词： Exponential functions

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A Study on the Performance of Bearingless PMSM Based on Rotor Permanent Magnet Arrangement

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Transactions of the Korean Institute of electrical Engineers 2025年第4期74卷 739-746页

作者： Noh, Min-Soo Kim, Dong-Hyeon Guo, Youguang Lee, Ho-Joon Dept. of Electrical and Control Engineering Cheonju University Korea Republic of Dept. of Electronics and Electrical Engineering Dankook University Korea Republic of Dept. of Electronic Engineering Cheongju University Korea Republic of School of Electrical and Data Engineering University of Technology Sydney Australia

Magnetic bearing motors are in high demand due to their ability to operate in special environments without mechanical friction and lubrication, effectively avoiding wear and contamination. To overcome the complexity and maximum speed limitations, bearingless PMSMs (Permanent Magnet Synchronous Motors) have been developed. This study explains the electromagnetic driving principles of bearingless PMSMs based on generation conditions and the components of suspension forces. Furthermore, the permanent magnets arranged on the rotor are designed to alter the magnetic flux distribution using various magnetization patterns. FEA(Finite Element Analysis) was conducted for each model, and the derived results were compared and analyzed. This study investigates the performance of bearingless PMSMs based on different rotor permanent magnet arrangements, and draws a comprehensive conclusion. © The Korean Institute of electrical Engineers.

关键词： Permanent magnets

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A Local Distance Descriptor for 3D Point Clouds 5

A Local Distance Descriptor for 3D Point Clouds

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5th International Conference on Computer Vision and Computational Intelligence, CVCI 2024

作者： Li, Wei Mudiwa, Allen Zhang, Lu Dept. of Automation School of Electrical and Control Engineering SUST Xi’an China School of Liberal Arts XATU Xi’an China

ISBN: (数字)9781510680067

ISBN: (纸本)9781510680050

Extracting 3D features from point cloud data is the central component for the automatic repair system of ancient ceramic fragments developed by us. This paper presents a local 3D point clouds descriptor for individual point on various surfaces based on the distances among the point’s neighborhood, which providing feature extracting service to the system. The descriptor use the distance between the point with its k-neighborhoods, which are chosen by a adjustable search radius, to identify the surface type of the ceramic fragments. The descriptor then utilize and maintain the existed local distance information from some selected point to generate feature vectors for accurate point matching which will ease the restoration work. To validate the algorithm, experiments on real data are performed and compared with other similar descriptors. The results show that our descriptor can provide reliable identification performance and also do not introduce any local information loss. The descriptor are also a non-geometric deformation operation, so it has the potential to be a commonly used intermediate algorithm in many point cloud applications. © 2024 SPIE.

关键词： Restoration

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Torque Calculation Error Compensation for Reluctance Spherical Motor Based on Extreme Learning Machine 5

Torque Calculation Error Compensation for Reluctance Spheric...

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5th International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2024

作者： Shi, Mingfeng Lu, Siliang Wang, Qunjing Liu, Yongbin Huaiyin Institute of Technology Dept. Automation Huaian China Anhui University Dept. Electrical Engineering and Automation Hefei China

ISBN: (纸本)9798331529192

To reduce the torque calculation error caused by the analytical model of reluctance spherical motor (RSM), this paper proposes a novel calculation error compensation method. Firstly, the calculation error between the calculated torque obtained by analytical method and the simulated torque is analyzed. Then, extreme learning machine(ELM) is adopted to compensate the torque calculation error according to the error characteristics. The simulation results show that this error compensation method has high compensation accuracy, strong stability and good real-time performance. © 2024 IEEE.

关键词： Adversarial machine learning

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An Identification Method of Origins for Rice Wine Based on Electronic Nose and Dot-Product Module 7

An Identification Method of Origins for Rice Wine Based on E...

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7th International Conference on Intelligent Robotics and control engineering, IRCE 2024

作者： Sun, Wenqi Zhang, Ancai Yuan, Quan Zheng, Wenbo Linyi University Dept. School of Automation and Electrical Engineering Linyi China

ISBN: (纸本)9798350352399

Research on origin identification of rice wines provides an important perspective for food quality evaluation. The electronic nose (e-nose) has shown promising performance in food quality analysis when used in conjunction with data processing models. Therefore, a method that includes a self-developed e-nose system and a hybrid dot-product-residual network34 (DPResNet34) is proposed to effectively recognize the origins of rice wines. The results showed that, first, gas information on rice wines from different origins is acquired using the e-nose system. Second, effective features of the e-nose data are mined and modeled by the DP module. Finally, the best classification performance and good stability, with an accuracy of 97.46%, an F1-score of 97.52%, and a Kappa coefficient of 97.19%, are achieved by the e-nose and DPResNet34 model. In conclusion, effective identification of the origins for rice wines is achieved by the e-nose and DP-ResNet34, providing a theoretical analysis framework for quality assessment of rice wines. © 2024 IEEE.

关键词： Wine

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Broken Rotor Bar Fault Detection Using Machine Learning: Optimal Frequency Resolution

Broken Rotor Bar Fault Detection Using Machine Learning: Opt...

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2024 International Conference on electrical Machines, ICEM 2024

作者： Koveshnikov, Semen El Bouharrouti, Nada Kudelina, Karolina Naseer, Usman Muhammad Vaimann, Toomas Belahcen, Anouar Aalto University Dept. of Electrical Engineering and Automation Espoo Finland Tallinn University of Technology Dept. of Electrical Power Engineering and Mechatronics Tallinn Estonia

ISBN: (纸本)9798350370607

This paper explores the optimal frequency resolution of the current spectra for detecting the broken rotor bar fault in induction motors with machine learning and motor current signature analysis. Conventional methods of broken rotor bar detection usually advocate for a higher frequency resolution in the motor current spectrum, which requires longer current signal measurements that are difficult and expensive to conduct. Thus, this work aims to identify the limitations to frequency resolution for successful broken rotor bar diagnosis when applying machine learning algorithms. The study also provides recommendations on the signal processing for feature extraction to enhance machine learning model performance. The machine learning algorithms used in the study are support vector machines, gradient boosting machines, and multilayer perceptron. © 2024 IEEE.

关键词： Induction motors

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Optimization of Printed Synchronous Reluctance Rotor Based on Bézier Curves

Optimization of Printed Synchronous Reluctance Rotor Based o...

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2024 International Conference on electrical Machines, ICEM 2024

作者： Michieletto, Daniele Alberti, Luigi Belahcen, Anouar University of Padova Dept. of Industrial Engineering Padova Italy Aalto University Dept. of Electrical Engineering and Automation Espoo Finland

ISBN: (纸本)9798350370607

This paper deals with the optimization of a multi-barrier synchronous reluctance rotor, in which the flux barriers are parameterized using Bézier curves. With this type of modeling, it is possible to explore more complex geometries that can be realized with new additive manufacturing techniques. A two-step optimization based on the NSGA-II genetic algorithm is proposed in the paper. In the first part, barriers are optimized using a simplified analytical model. In the second part, the rotor geometry is optimized using finite element analysis. Finally, a more detailed investigation is performed to calculate the overall performance of the optimized solution and compare them with those of a previously manufactured prototype. © 2024 IEEE.

关键词： Reluctance motors

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A Saturation Model Based on a Simplified Equivalent Magnetic Circuit for Permanent Magnet Machines

A Saturation Model Based on a Simplified Equivalent Magnetic...

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2024 International Conference on electrical Machines, ICEM 2024

作者： Lelli, Francesco Hinkkanen, Marko Capponi, Fabio Giulii Sapienza University of Rome Dept. of Astronautical Electrical and Energy Engineering Rome Italy Aalto University Dept. of Electrical Engineering and Automation Espoo Helsinki Finland

ISBN: (纸本)9798350370607

This paper proposes an explicit mathematical model to describe the nonlinear behavior of the permanent magnet synchronous reluctance machine. Although different models for the synchronous reluctance machines are available, extending them to the case of the permanent magnet machine is not trivial due to the effect of the permanent magnets on the rib saturation. This work uses a simplified equivalent magnetic circuit to derive the structure of the proposed model. A nonlinear reluctance is introduced to model the rib saturation. It can be added to the existing model for the synchronous reluctance machine to take into account the effect of the permanent magnets. A simple fitting procedure based on the steepest descent method is proposed to estimate the parameters of the model. © 2024 IEEE.

关键词： Steepest descent method

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An Optimized Active Power Decoupling control Based on Real-time Capacitance Calculation 6

An Optimized Active Power Decoupling Control Based on Real-t...

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6th IEEE International electrical and Energy Conference, CIEEC 2023

作者： Bao, Chenghao Chen, Qiang Fei, Xiaoyu Zhang, Xing Hfut Dept. of Electrical Engineering and Automation Hefei China

ISBN: (纸本)9798350346671

Active power decoupling (APD) technology can effectively suppress the double-line-frequency ripple power in single-phase inverter systems, which can improve system reliability and increase power density. However, most of the existing APD control strategies are sensitive to systems parameters, especially the change of decoupling capacitors. In this paper, an optimized active power decoupling control strategy is proposed to overcome this issue based on real-time capacitance calculation. By accurately tracking the capacitance value, the performance of the inverter system with the proposed strategy is improved. The simulation results are provided to verify its effectiveness. © 2023 IEEE.

关键词： Electric inverters

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3D Numerical Modeling of Displacement Due to Magnetostriction in Silicon Steel Laminated Core

3D Numerical Modeling of Displacement Due to Magnetostrictio...

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2024 International Conference on electrical Machines, ICEM 2024

作者： Gao, Yanhui Fujita, Hiroki Gao, Shengze Guan, Weimin Muramatsu, Kazuhiro Otia University Dept. of innotative engineering Oita Japan Wuhan University Dept. of electrical engineering and automation Wuhan China Saga University Dept. of electrical and electronic enginneering Saga Japan

ISBN: (纸本)9798350370607

To evaluate and reduce the noise generated in the laminated iron cores of transformers and motors, accurate displacement calculation due to magnetostriction is important. In this paper, the authors proposed a 3D numerical modeling method to calculate the displacement due to magnetostriction in the silicon steel laminated iron core using homogenization technique. The proposed method is applied to a silicon steel laminated core under alternating excitation of 50 Hz. The calculated displacements obtained from the homogenization method are compared with those of the real laminated core model for validation. Compared to the conventional homogenization method, a much better agreement is achieved. © 2024 IEEE.

关键词： Silicon steel

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