Enhanced High Performance Power Compensation Methodology by IPFC Using PIGBT-IDVR by Subramanian Arumugom, Marimuthu Rajaram

“…Currently, power systems are involuntarily controlled without high speed control and are frequently initiated, therefore resulting in a slow process when compared with static electronic devices. …”
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A low‐rating 40‐pulse AC–DC rectifier based on a new passive harmonic mitigation circuit by Rohollah Abdollahi, Gevork B. Gharehpetian

“…Abstract A novel 40‐pulse autotransformer rectifier is proposed to reduce total harmonic distortion (THD) of the input current in aircraft electrical power systems. The 40‐pulse rectifier (40PR) includes a passive harmonic reduction circuit (PHMC) with a low kVA rating (about 0.95% of the load power) to enhance the performance of the conventional 40PR. …”
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Data Driven Real-Time Dynamic Voltage Control Using Decentralized Execution Multi-Agent Deep Reinforcement Learning by Yuling Wang, Vijay Vittal

“…In recent years, there has been an increasing need for effective voltage control methods in power systems due to the growing complexity and dynamic nature of practical power grid operations. …”
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Performance Evaluation of a Novel Sequence-Based Directional Detection Strategy for Protection of Active Distribution Networks by Kwasi Opoku, Aleksandar Dimitrovski, Maximiliano Ferrari

“…Directional elements are relied on to achieve selectivity in fault detection in power systems. Although such elements have been deployed successfully for many years, there is an increased need for novel methods to deal with the unique challenges of directional protection in modern distribution networks. …”
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Research and calculation of magnetic system of built-in axle-box generators of freight cars by O. A. Lysenko, L. D. Fedorova, S. G. Shantarenko

“…However, one of the current problems is the lack of autonomous power supplies for communication and diagnostic systems. Since wired power systems have a number of disadvantages, the article discusses the creation of a power source based on an alternator with permanent magnets. …”
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A fast parameter estimation method for high-frequency oscillation based on empirical wavelet transform and moving least square by Bo Sun, Xi Wu, Chaohang Zheng, Meiya Kong

“…Abstract In renewable power systems, the interaction between generators, power electronic devices, and the grid has led to frequent high-frequency oscillation (HFO) events. …”
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Independent energy storage planning model considering comprehensive benefits enhancement by Wenzhang Guo, Yuanke Zhou, Rui Zhang, Han Su, Jia Tian, Xudong Hu, Yuming Shen, Jiayin Xu, Feiao Zhao, Yinghao Ma

“…New power systems with large-scale clean energy access require energy storage to provide critical support. …”
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Accurate energy yield simulation of a carport system using the ray-tracing method by Bumsu Kim, Inku Kang, Eunseok Jang, Huijae Jang, Sungho Hwang, Haeseok Lee, Myunghun Shin

“…These results demonstrate the potential of the developed method for predicting the energy yield of various PV systems, and the findings of this study provide fundamental data for the efficient design and operation of PV power systems in South Korea.…”
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An optimized method for short-term load forecasting based on feature fusion and ConvLSTM-3D neural network by Xiaofeng Yang, Shousheng Zhao, Kangyi Li, Wenjin Chen, Si Zhang, Jingwei Chen

“…As renewable energy continues to penetrate modern power systems, accurate short-term load forecasting is crucial for optimizing power generation resource allocation and reducing operational costs. …”
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Cyber–Physical–Social Security of High-DER-Penetrated Smart Grids: Threats, Countermeasures, and Challenges by Qiuyu Lu, Jun’e Li, Zhao Peng, Ming Ni

“…Subsequently, the limitations of the deployed security measures in current power systems are discussed, and an overview of the state-of-art countermeasures for the SGs security faced by the threats is organized in three stages: prevention, detection, and mitigation. …”
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Fault Diagnosis of Power Transformers With Membership Degree by Enwen Li, Linong Wang, Bin Song

“…Power transformers are important equipment for power systems, and a dissolved gas analysis (DGA) is widely used to detect incipient faults in oil-pregnant transformers. …”
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Research on two‐level energy management based on tiered demand response and energy storage systems by Danhao Wang, Daogang Peng, Dongmei Huang, Lan Ren

“…Abstract In response to the escalating demands of the electricity market for load dispatch optimization and the stable operation of power systems, the design of effective incentive mechanisms to guide user electricity consumption behaviour has become an urgent task. …”
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Optimization tool for small hydropower plant resource planning and development: A case study by Antans Sauhats, Hasan Huseyin Coban

“…The dimensions and significance of the modern power systems prove the necessity to change the principles of energy generation and power supply planning and management. …”
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Impedance Analysis and Optimization of Self-Powered Interface Circuit for Wireless Sensor Nodes Application by Yuan Dong, Dezhi Li, Benjamin Ducharne, Xiaohui Wang, Jun Gao, Bin Zhang

“…Under 18 Hz resonant excitation, the whole self-powered system transmits 32 bytes of data every 30 seconds including the acceleration and environment temperature. …”
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Lightweight resilience: Advancing visual-inertial odometry with deep convolutional networks and an intelligent learnable Kalman filter for defense against laser remote attacks by A. Ebrahimi, M.R. Mosavi, A. Ayatollahi

“…To address power constraints in applications such as battery-powered systems, the solution employs an Intelligent Learnable Kalman Filter (ILKF) for fusing multiple positioning sources, offering a more efficient alternative to Recurrent Neural Networks (RNNs). …”
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A Static State Estimation Scheme in Microgrid Utilizing μPMU Measurements by Kunal Kumar, Prince Kumar, Susmita Kar, Aashish Kumar Bohre, Samuel Amde Gebereselassie

“…The operation of power systems needs uninterrupted and precise wide-area real-time monitoring for secure and automated control of power networks, therefore, there is a requirement of robust state estimation (SE) by the smart control centre. …”
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Real-time simulation comparison of the impact of inertia on grid following and grid forming inverter IGBT lifetime by Sunjoh Christian Verbe, Keigo Higashiura, Md. Amit Hasan, Ryuto Shigenobu, Akiko Takahashi, Masakazu Ito, Hisao Taoka

“…These findings highlight the critical balance between maintaining grid stability and ensuring component longevity, offering valuable guidance for optimizing inertia settings in power systems.…”
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Generation of Smoke Dataset for Power Equipment and Study of Image Semantic Segmentation by Rong Chang, Zhengxiong Mao, Jian Hu, Haicheng Bai, Anning Pan, Yang Yang, Shan Gao

“…This paper addresses the problems of limited smoke data, difficult labeling, and insufficient research on recognition algorithms in power systems. We propose using three-dimensional virtual technology to generate smoke and image masks and using environmental backgrounds such as HDR (high dynamic range imaging) lighting to realistically combine smoke and background. …”
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The Future of Public Relations, Advertising and Journalism: How Artificial Intelligence May Transform the Communication Profession and Why Society Should Care? by Nilüfer Türksoy

“…and 3) What kind of opportunities and challenges will AI-powered systems bring to these three professions? The findings suggest that Artificial Intelligence would benefit the communication profession and those who adopt Artificial Intelligence technologies would certainly gain a competitive advantage. …”
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A hybrid model for smart grid theft detection based on deep learning by Yinling LIAO, Jincan LI, Bing WANG, Jun ZHANG, Yaoyuan LIANG

“…A hybrid deep learning model was proposed to effectively detect electricity theft in smart grids.The hybrid model employed a deep learning convolutional neural network (AlexNet) to tackle the curse of dimensionality, significantly enhancing data processing accuracy and efficiency.It further improved classification accuracy by differentiating between normal and abnormal electricity usage using adaptive boosting (AdaBoost).To resolve the issue of class imbalance, undersampling techniques were utilized, ensuring balanced performance across various data classes.Additionally, the artificial bee colony algorithm was used to optimize hyperparameters for both AdaBoost and AlexNet, effectively boosting overall model performance.The effectiveness of this hybrid model was evaluated using real smart meter datasets from an electricity company.Compared to similar models, this hybrid model achieves accuracy, precision, recall, F1-score, Matthews correlation coefficient (MCC), and area under the curve-receiver operating characteristic curve (AUC-ROC) scores of 88%, 86%, 84%, 85%, 78%, and 91%, respectively.The proposed model not only increases the accuracy of electricity usage monitoring, but also offers a new perspective for intelligent analysis in power systems.…”
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