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UPB Scientific Bulletin, Series C: electrical engineering and computer Science 2025年第1期87卷 259-272页

作者： Ioana, Gabriel Cazacu, Emil Petrescu, Lucian Stănculescu, Marilena Dept. of Electrical Engineering National University of Science and Technology Politehnica Bucharest Romania

This paper analyses the implementation of modern remedial measures to current, and voltage distortion problems generated by power nonlinear industrial loads. For these types of heavily polluted consumers, traditional solutions such as passive or hybrid filters are not suited. Consequently, the active harmonic filters (AHF) are the only pieces of equipment to be considered. Their proper selection is attained only after performing an adequate power quality audit of the main electric parameters at the main low voltage switchboards. The paper presents an AHF-based solution for nonlinear industrial load which reduces the current and voltage harmonics. The solution is validated by harmonics measurements before and after AHF installation. © 2025, Politechnica University of Bucharest. All rights reserved.

关键词： Active filters

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Combined Volt-VAR and Volt-Watt Control for PCC Voltage stabilization in Smart Inverters

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Transactions of the Korean Institute of electrical Engineers 2023年第6期72卷 739-746页

作者： Won, Dong-Ho Lee, Kyo-Beum Dept. of Electrical and Electronic Engineering Ajou University Korea Republic of Dept. of Electrical Computer Engineering Ajou University Korea Republic of

This paper proposes the combined Volt-VAR and Volt-Watt control method of smart inverters to stabilize the point of common coupling (PCC) voltage. The distributed energy sources (DER) using renewable energy such as solar and wind power are increasing because of environmental issues worldwide. When the DER increases, the PCC voltage fluctuates, which causes a decrease in grid stability and power quality. Smart inverter provides grid support function such as Volt-VAR and Volt-Watt control method to eliminate these problems. The Volt-VAR control method adjusts capacitive/inductive reactive power based on the PCC voltage. The Volt-Watt control method stabilizes the PCC voltage by reducing active power. The combined Volt-VAR and Volt-Watt control method reduces the active power while it controls the inductive reactive power to the maximum. This paper proposes the combined Volt-VAR and Volt-Watt control method to improve the stabilization effect of PCC voltage. The effectiveness of proposed method is verified by the simulation and experiment results. Copyright © The Korean Institute of electrical Engineers.

关键词： Power quality

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EMC and EMF Safety Aspects of Wireless Power Transfer Systems for e-Mobility

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IEEE Electromagnetic Compatibility Magazine 2024年第3期13卷 74-92页

作者： Maradei, Francesca Ahn, Seungyoung Campi, Tommaso Covic, Grant Cruciani, Silvano Hirata, Akimasa Wang, Shuo Feliziani, Mauro Sapienza University Dept. of Astronautic Electrical and Energy Engineering Rome Italy Daejeon Korea Republic of The University of Auckland Auckland New Zealand Tor Vergata University Dept. of Industrial Engineering Rome Italy Nagoya Institute of Technology Dept. of Electrical and Mechanical Engineering Nagoya Japan University of Florida Dept. of Electrical & Computer Engineering GainesvilleFL United States University of L'Aquila Dept. of Industrial and Information Engineering L'Aquila Italy

This paper intends to provide a comprehensive over-view of the current state-of-the-art practices in wireless power transfer (WPT) technology within the automotive sector, while addressing pertinent issues related to electromagnetic compatibility (EMC) and electromagnetic field (EMF) safety compliance, as well as highlighting ongoing challenges and areas for further exploration. © 2012 IEEE.

关键词： Inductive power transmission

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Time series forecasting using transformer neural network

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International Journal of computers and Applications 2024年第10期46卷 880-888页

作者： Bhogade, Vaibhav Nithya, B. Dept. of Computer Science and Engineering National Institute of Technology Tiruchirappalli India

Time series forecasting is a vital component of data science, giving essential insights that help decision-makers to predict future trends across a number of sectors. This paper focuses on projecting complicated stock market price dynamics, weather data variations, and hourly traffic occupancy rates. The Informer-Based Time Series Forecasting (IBTSF) model, which employs a transformer-based architecture to capture long-term relationships and give probabilistic predictions, is *** model is assessed against Long Short-Term Memory (LSTM), Temporal Convolutional Network (TCN) and Gated Recurrent Unit (GRU) model to benchmark its performance. Simulation findings demonstrate that the IBTSF model considerably outperforms other models across all datasets. For traffic data, the IBTSF model achieves a Mean Squared Error (MSE) of 10.1 and a Mean Absolute Scaled Error (MASE) of 1.69, compared to other model's larger mistakes. In stock data forecasting, the IBTSF model reports an MSE of 8.04 and a MASE of 1.53, again outperforming other models. Similarly, using meteorological data, the IBTSF model obtains an MSE of 86.12 and a MASE of 0.7, whereas other models fall short. These results underline the IBTSF model's resilience and accuracy in capturing subtle patterns and relationships within time series data, giving precise insights that benefit decision-making processes. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Prediction models

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Combination of Number of Poles and Slots for Effective Heat Management of 10kW Fan Motor

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Transactions of the Korean Institute of electrical Engineers 2024年第11期73卷 2030-2035页

作者： Kim, Su-Yong Won, Jong-Bin Min, Jun-Hyuk Jeong, Sung-In Dept. of Electrical Engineering Gwangju University Korea Republic of Korea Electronics Technology Institute Korea Republic of Dept. of Electrical Engineering Hanyang University Korea Republic of

As global warming accelerates due to greenhouse gases, various industries are making significant efforts to reduce greenhouse gas emissions. The automotive industry is also following the environmental policies of developed countries to achieve carbon neutrality, including exhaust gas regulations. Especially, the transportation field the largest contributor to greenhouse gas emissions, accounting for 30% of total emissions. In this study, it deals with the effective heat management of eco-friendly vehicles such as electric cars and hydrogen vehicles. Hydrogen fuel cells generate electricity and water through the combination of hydrogen and oxygen, releasing a significant amount of heat in the process. For hydrogen fuel cell vehicles, managing this heat is necessary for the vehicle's durability, making research on thermal management systems essential. This paper compares and analyzes the performance characteristics of a 10kW fan motor used in the thermal management system of hydrogen fuel cell buses, based on different pole-slot combinations. The no-load and load performance of the 16-pole and 24-slot combination as well as the 20-pole and 24-slot combination were compared, focusing on various characteristics such as cogging torque, torque ripple, radial force, and efficiency. The results indicate that the 20-pole 24-slot combination exhibited superior performance in terms of cogging torque and torque ripple. Copyright © The Korean Institute of electrical Engineers.

关键词： Automotive industry

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Direct Torque Control of IPMSMs for Fast Dynamic Response with Constant Switching Frequency

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Transactions of the Korean Institute of electrical Engineers 2023年第3期72卷 395-401页

作者： Shin, Eun-Kyeol Lee, Kyo-Beum Dept. of Electrical and Computer Engineering Ajou University Korea Republic of

This paper proposes the direct torque control (DTC) of interior permanent magnet synchronous motors (IPMSMs) for fast dynamic response with constant switching frequency. The conventional DTC is constructed based on the hysteresis flux and torque controllers with the flux and torque errors as input. The switching frequency of DTC is not constant. In the DTC with constant switching frequency, a torque regulator with a constant switching frequency is applied to overcome this problem, instead of the hysteresis torque controller for the conventional DTC. The DTC with constant switching frequency uses a torque regulator with a proportional-integral (PI) torque controller and a triangular carrier to realize a constant switching frequency. Compared to the conventional DTC, the DTC with constant switching frequency has the poor dynamic response because both voltage vectors increasing and decreasing torque are selected in the transient state. In this paper, the bandwidth of PI torque controller is varied to improve the dynamic response of the DTC with constant switching frequency. The effectiveness of the proposed method is verified through simulation results. Copyright © The Korean Institute of electrical Engineers.

关键词： Torque

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IEEE Vehicular technology Society Bylaws Changes [Society News]

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IEEE VEHICULAR technology MAGAZINE 2025年第1期20卷 111-112页

作者： Rubinstein, Tom Dept. of Electrical & Computer Engineering Auburn University Auburn AL USA

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

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Systematic Common Information Model (CIM) Profile Management for Advanced Distribution Management System

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Transactions of the Korean Institute of electrical Engineers 2024年第1期73卷 1-9页

作者： Kim, Hyun Joong Oh, Jae Young Yoon, Yong Tae Jung, Wonwook Shim, Jaeseong Shon, Jin-Man Dept. of Electrical Engineering Hoseo University Korea Republic of Dept. of Energy Engineering Korea Institute of Energy Technology Korea Republic of Dept. of Electrical and Computer Engineering Seoul National University Korea Republic of Korea Electric Power Corporation Research Institute Rep. of Korea Korea Republic of

Common Information Model (CIM) is an essential technique for ensuring interoperability in Energy Management Systems (EMS) by defining data profiles for information exchange. Given the changing system environment, CIM undergoes periodic revisions, necessitating updates to the profiles used in EMS. However, comparing and interpreting CIM as defined in the Unified Modeling Language (UML) can be time-consuming and may lead to human errors. In this context, this study proposes systematic approaches for managing data profiles using an automatic tracking function for CIM and a structured process for profile management. The effectiveness of this approach is demonstrated by applying it to profiles defining the key functions of Korea's advanced distribution management system (ADMS), such as operational limits, renewable energy sources, and power transformers. This research can serve as a guideline for addressing practical issues in securing interoperability in ADMS. © 2024 Korean Institute of electrical Engineers. All rights reserved.

关键词： Interoperability

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Denial-of-Service Attack Detection and Mitigation Strategy for Synchrophasor Data Flowing in Power Transmission System 4

Denial-of-Service Attack Detection and Mitigation Strategy f...

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4th IEEE International Conference on Sustainable Energy and Future Electric Transportation, SEFET 2024

作者： Nath, Soumya Ranjan Bhalja, Bhavesh R. Sidhu, Tarlochan S. Indian Institute of Technology Dept. of Electrical Engineering Roorkee India Ontario Tech University Dept. of Electrical and Computer Engineering Oshawa Canada

ISBN: (纸本)9798350383997

The coupling of the legacy power infrastructure with complex computer networks and the integration of communication devices has led to the problem of cyberattacks, which in turn may induce partial/full blackouts. In this regard, an approach based on a Decision Tree for the detection and mitigation of Denial-of-Service (DoS) attacks is proposed in this paper. Based on the patterns and effects observed during DoS attacks on the Synchrophasor data flowing from the Phasor Measurement Unit (PMU) to the Phasor Data Concentrator (PDC), various supervised machine learning models are employed, which classify healthy and attack data and detect DoS attacks. Thereafter, a recurrent deep learning network employing Gated Recurrent Unit (GRU) architecture is utilized to reconstruct the lost data, which in turn is helpful in mitigating the impacts of a DoS attack. The suggested algorithms are validated using a real-world scenario of a communication dataflow between multiple PMUs placed at different buses of a power transmission network and a PDC present at a control center, representing a wide-area network, and are incorporated using Real Time Digital Simulator and openPDC. By comparing various metrics of ML classification, the results indicate that the decision tree based model gives better accuracy along with the least detection time compared to other machine learning-based models. The suggested GRU-based mitigation algorithm can reconstruct the DoS-impacted lost data from the available pre-attack phasors. © 2024 IEEE.

关键词： Phasor measurement units

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Multi-Agent H-Learning Based Cooperative Spectrum Sensing for Cognitive Radio Networks 32

Multi-Agent H-Learning Based Cooperative Spectrum Sensing fo...

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32nd International Conference on electrical engineering, ICEE 2024

作者： Fard, E. Karimpour Nouri, M. Behroozi, H. Sobhi-Givi, S. Sharif University of Technology Dept. of Electrical Engineering Tehran Iran University of Mohaghegh Ardabili Dept. of Electrical and Computer Engineering Ardabil Iran

ISBN: (纸本)9798350376340

Fast and accurate methods for spectrum sensing (SS) are the key elements in cognitive radio networks (CRNs) that achieve high SS. This paper proposes a reinforcement learning (RL) scheme for secondary users (SUs) in a massive multiple-input multiple-output (MIMO) CRN to determine occupation and emptiness of scanned wideband channels. In the proposed H-learning method, the clustered neighboring SUs collect data to check the status of channels that improve reliability of measured sensing. Then, they share information about different frequency channels with other clusters and the status of channel occupation is determined for all SUs. This model-based learning method increases finding free channels and enhances spectral efficiency (SE) in presence of large probability of missing detection. Furthermore, each SU learns the presence pattern of primary user (PU) and gather a dynamic scan priority list to decrease scan overhead and access delays. Simulation results demonstrate the multi-agent reinforcement modified H-learning (MH-learning) method can achieve better performance in terms of PU usage percent, number of attempts, call block rate, and probability of detection in comparison to H-learning and some state-of-art learning methods. © 2024 IEEE.

关键词： Reinforcement learning

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