Quantitative Analysis of Ageing Condition of Insulating Paper Using Infrared Spectroscopy by R. Saldivar-Guerrero, E. N. Cabrera Álvarez, U. Leon-Silva, F. A. Lopez-Gonzalez, F. Delgado Arroyo, H. Lara-Covarrubias, R. Montes-Fernandez

“…Transformers are very expensive apparatuses and are vital to make the whole power system run normally. The failures in such apparatuses could leave them out of service, causing severe economic losses. …”
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Improved Firefly Algorithm: A Novel Method for Optimal Operation of Thermal Generating Units by Thang Trung Nguyen, Nguyen Vu Quynh, Le Van Dai

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Design of Modular Power Management and Attitude Control Subsystems for a Microsatellite by Anwar Ali, Shoaib Ahmed Khan, M. Usman Khan, Haider Ali, M. Rizwan Mughal, Jaan Praks

“…The Electric Power System (EPS) and attitude control system (ACS) are the essential components of any satellite. …”
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Analysis of the Influence of Renewable Generator Frequency Endurance Capability on Low-Frequency Load Shedding: A Hunan Case Study by Yang-Wu Shen, Ding Wang, Hao Chen, Jian Zuo, Min Xu, Wei Cao

“…With the rapid development of renewable generators such as distributed photovoltaic and profound changes of the power structure, this paper analyzes the frequency characteristics of the power system with high penetration of renewable generations in the process of low-frequency load shedding and discusses the influence of the distributed renewable generator frequency endurance capabilities on the implementation effect of low-frequency load shedding in detail. …”
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Analysis of the influence of surface deformation on the stability of overhead transmission lines and countermeasures by Xiaokai Meng, Siqing Xu, Fan Hu, Shuai Wang, Zhumao Lu

“…The research has shown that surface deformation can cause suspension points to become stress concentration areas, leading to deformation or damage of suspension plates and their fixing components, thereby affecting the stability of the power system. To accurately assess these impacts, it is recommended to use high-precision measuring instruments for regular data collection and analysis. …”
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A machine learning approach for wind turbine power forecasting for maintenance planning by Hariom Dhungana

“…As renewable energy integration increases, precise electricity demand forecasting becomes essential at every power system level. This study presents and compares nine machine learning (ML) methods for forecasting, Interpretable ML, Explainable ML, and Blackbox model. …”
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Energy Management System for Smart Grid in the Presence of Energy Storage and Photovoltaic Systems by Alireza Kermani, Amir Mahdi Jamshidi, Zahra Mahdavi, Amir ali Dashtaki, Mohammad Zand, Morteza Azimi Nasab, Tina Samavat, P. Sanjeevikumar, Baseem Khan

“…The proposed controller, while automatically and dynamically adapting to the solar cell output changes, is capable of responding to external requests, such as price signals or satisfying power system constraints or operator requests. In addition, the results indicate that by using the proposed energy management system, the microgrid system can regain stability during one to two cycles, during the occurrence of PV system radiation changes as well as ESS charge changes. …”
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Design and Implementation of Multifunction Relay Based on Microcontroller by Ali Abdulsattar Hameed, Ahmed Jasim Sultan, Mehdi F. Booneya

“… The power systems are exposed to many abnormal conditions, so an advanced protection system must be provided to stand up to these challenges. …”
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EVALUATION OF THE EFFICIENCY OF THE DEVICE FOR LIMITING TENSION OF THE WIRE IN A SHORT CIRCUIT by I. I. Sergey, E. G. Panamarenka, Ya. A. Potachits

“…The commis sioning of new capacities is inevitably accompanied by an increase in short circuit currents in the nodes of the grid, so the need to limit peaks of tension arising in a short-circuit can acquire a special relevance at a certain stage of development of the power system. At short circuit currents over 40 kA the mechanical force and displacement of the wires can have a decisive influence on the structural performance of flexible bus as of single wires as well as of split phases. …”
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UniLF: A novel short-term load forecasting model uniformly considering various features from multivariate load data by Shiyang Zhou, Qingyong Zhang, Peng Xiao, Bingrong Xu, Geshuai Luo

“…Abstract Accurate short-term load forecasting (STLF) provides important support for the economic and stable operation of the power system. Although various deep learning methods have achieved good results in STLF, they usually model load features only from a limited perspective, i.e., they do not uniformly utilize the three features of multivariate load data: the influence of covariates, multiscale features and local-global variations. …”
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A Model Predictive Control Framework for Combining Energy Arbitrage and Power Quality Applications From Energy Storage Systems by Ujjwol Tamrakar, Niranjan Bhujel, Tu A. Nguyen, Raymond H. Byrne, Babu Chalamala

“…This is achieved without impacting market revenues while satisfying all power system and ESS constraints. Simulation results indicate that power quality applications such as voltage regulation and power factor correction can be stacked with arbitrage without significantly impacting arbitrage revenues and in some cases even improving the revenues. …”
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Differentially Private Clustered Federated Load Prediction Based on the Louvain Algorithm by Tingzhe Pan, Jue Hou, Xin Jin, Chao Li, Xinlei Cai, Xiaodong Zhou

“…Load forecasting plays a fundamental role in the new type of power system. To address the data heterogeneity and security issues encountered in load forecasting for smart grids, this paper proposes a load-forecasting framework suitable for residential energy users, which allows users to train personalized forecasting models without sharing load data. …”
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Power Prioritization and Load Shedding in an Island with RESs Using ABC Algorithm by L. O. Mogaka, G. N. Nyakoe, M. J. Saulo

“…In instances where power demand exceeds generation within islanded microgrid or due to an occurrence of a contingency, optimum load shedding should be put in place so as to enhance system security and stability of the power system. Load shedding is traditionally done based on undervoltage measurements or underfrequency measurements of a given section of the grid. …”
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Analysis of Transient Voltage Stability in a Low Voltage Distribution Network Using SST for the Integration of Distributed Generations by Sheng Li, Zhihao Zhou, Qiqi Shan, Jiani An

“…Models of a low voltage distribution network using a typical tertiary-structure solid state transformer (SST) for the integration of distributed generations (DGs) and a conventional low voltage distribution network integrated with DGs were established to study the transient voltage stability issue, using the power system simulation software PSCAD. Effects on the transient voltage stability of the load bus and DC bus in the SST system are analyzed when grid-side cable line faults (such as short circuit and line disconnection) occur or the total output of DGs drops greatly. …”
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UPFC Subsynchronous Oscillation Suppression Strategy Based on Linear Active Disturbance Rejection Control by LIU Yiqi, HUANG Xu, WANG Tianhao, ZHENG Junyuan

“…Large-scale doubly-fed wind farms connected through series-compensated transmission lines are prone to subsynchronous oscillations （SSO）， which can cause wind turbines to disconnect from the grid， posing a serious threat to the safe and stable operation of the power system. This paper proposes a control method that utilizes a unified power flow controller （UPFC） with additional damping control to mitigate SSO. …”
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Hybrid model for wind power estimation based on BIGRU network and error discrimination‐correction by Yalong Li, Ye Jin, Yangqing Dan, Wenting Zha

“…Abstract Accurate estimation of wind power is essential for predicting and maintaining the power balance in the power system. This paper proposes a novel approach to enhance the accuracy of wind power estimation through a hybrid model integrating neural networks and error discrimination‐correction techniques. …”
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RETRACTED: Intelligent power grid energy supply forecasting and economic operation management using the snake optimizer algorithm with Bigur-attention model by Lingling Cui, Jiacheng Liao

“…Four datasets were selected for training, and a Snake Optimizer (SO) algorithm-optimized Bigru-Attention model was proposed to construct a comprehensive and efficient prediction model, aiming to enhance the reliability, sustainability, and cost-effectiveness of the power system. The research process includes data preprocessing, model training, and model evaluation. …”
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Cyber Physical Security of Distributed Energy Resources by Luka Strezoski, Zorana Babic, Dejan Milojicic

“…This makes emerging power systems, and especially distribution grids, heavily dependent on real-time data from the field, as well as on the IT infrastructure for observation and control of field devices. …”
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Low‐carbon scheduling model of multi‐virtual power plants based on cooperative game considering failure risks by Chen Wu, Zhinong Wei, Yang Cao, Yiteng Xu, Tiantian Wei, Haiteng Han, Sheng Chen, Haixiang Zang

“…The results show that the economic and low‐carbon performance of multi‐VPPs can be improved by applying the cooperative game, which can also enhance the power system ability of resisting line faults.…”
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A High-Precision Curvature Compensation Reference Circuit for a Cable Accessory Image Acquisition Device by Ning Xiao, Yuewei Tian, Xiaosong Peng, Weijun Wang, Wenqiang Zou, Chao Yuan, Qian Zhou

“…High-voltage cables are widely used in power transmission and distribution systems, and their accessories (such as connectors, terminals, and insulators) are key parts to ensure the safe and reliable operation of power systems. These accessories may be affected by factors such as temperature, humidity, and mechanical stress during long-term operation, resulting in performance degradation or failure. …”
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