A GA-BP neural network algorithm for fault detection of transmission tower bolts by Ziqiang Lu, Pengjie He, Huiwei Liu, Jie Li, Ziying Lu

“…BackgroundIn the power system, the identification of the health status of the transmission tower is a daily task that must be performed. …”
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A neural network design for black-box identification of converter impedance models in arbitrary operating conditions by CHEN Bing, ZHAO Chongbin, JIANG Qirong, WANG Xu, WANG Fangming

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Photovoltaic Generation Integration with Radial Feeders Using GA and GIS by Elias Mandefro Getie, Belachew Bantyirga Gessesse, Tewodros Gera Workneh

“…Even if the loss of power in the power system cannot be avoided 100%, it should be reduced to the minimum optimal value. …”
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Mode Shape Description and Model Updating of Axisymmetric Structures Using Radial Tchebichef Moment Descriptors by C. Zang, H. B. Lan, D. D. Jiang, M. I. Friswell

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Power allocation optimization strategy for multiple virtual power plants with diversified distributed flexibility resources by Zejian Qiu, Xin Zhang, Zhanyuan Han, Fengchao Chen, Yuxin Luo, Kuan Zhang

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Exergoeconomic analysis and optimization of wind power hybrid energy storage system by Caifeng Wen, Yalin Lyu, Qian Du, Boxin Zhang, Xuhui Lian, Qiang Wang, Hongliang Hao

“…It provides guidance for improving the power quality of wind power system, improving the exergy efficiency of thermal-electric hybrid energy storage wind power system and reducing the unit cost.…”
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Research and response strategies on the impact of goaf collapse on overhead transmission lines by Siqing Xu, Xiaokai Meng, Shuai Wang, Zhumao Lu, Wen Shang

“…At the same time, it emphasizes the importance of precise monitoring, structural optimization design, long-term monitoring and maintenance, and emergency plan formulation to ensure the stable operation of the power system.…”
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Unified operation monitoring and security warning platform based on big data in energy group by Jing WANG, Kunlun GAO, Chaoyi BIAN, Xiao LIANG

“…With the increasing of information assets of energy group,in order to effectively cope with information security risks,using the big data and the intersecting confirmation mechanics of multi-source data,a monitoring and security warning platform was designed for information devices and application systems in energy group.By the global analysis of big multi-source data,the real-time awareness of risk and situation could be achieved,which was valuable for the progress of operation and management level of information system and timely warning of the spread of information risk to the power system.…”
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Embedded software security testing technology for relay protection devices by Wei DING, Jiaxiao MENG, Tao DAI, Huajun CHEN

“…As the first defensive line of power grid security,the right actions of delay protection devices can minimize the influence to the electric power system security caused by system or equipment failures.Based on the research of relay protection device inspection procedures and enterprise standard of electric power industry,the embedded software testing content and technologies of relay protection device were studied,including functional testing,performance testing and fault injection testing.This research contributes to the completeness and correctness of the embedded software testing about relay protection device.…”
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SIMULATION OF QUASI-STATIONARY OPERATIONAL CONDITIONS OF INDUCTION GENERATOR OF WIND- ENERGY SYSTEM INSTALLATION by M. M. Oleshkevich, I. V. Makosko

“…The paper considers the wind-energy installation composed of induction generator which is integrated into large power system. Computer programmes based on mathematical models of wind motor, induction generator, step-up transformers, cable and open-air electric power lines have been elaborated with the purpose to investigate quasi-stationary operational conditions of the wind- energy installation. …”
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Multi-objective layered diagnosis model of electric power ICT network based on extenics by Li LI, Tiantian LUO, Yana ZHANG, Runze WU

“…Electric power ICT network is an important part of power system,which plays a vital role in the security,stability and economic operation of power network.A diagnostic index system of electric power ICT network was established and a multi-objective layered diagnosis model of electric power ICT network system based on extension rating was proposed.This evaluation method could not only evaluate the impact factors of the electric power ICT network,but also diagnose and rate the whole electric power ICT network.…”
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A Novel Inverter Topology for Single-Phase Transformerless PV System by Haiyan Cao

“…Transformerless photovoltaic (PV) power system is very promising due to its low cost, small size, and high efficiency. …”
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A method of SQL access logs pretreatment for power business system by Weiwei LI, Tao ZHANG, Yuanyuan MA, Cheng ZHOU

“…With the development of smart grid interactive,the database interaction between the information inside and outside is increasing.A method of SQL access log compression for power business system to respond to the demand of database security audit for the power system was designed in detail.This method can realize the compression of SQL access log and have the function of simple classification for SQL logs.The test results show that the method can achieve a large margin compression of SQL access logs and meet the requirements of log preprocessing for the database behavior audit of power business system.…”
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A multi-stage deep learning network toward multi-classification of polyps in colorectal images by Shilong Chang, Kun Yang, Yucheng Wang, Yufeng Sun, Chaoyi Qi, Wenlong Fan, Ying Zhang, Shuang Liu, Wenshan Gao, Jie Meng, Linyan Xue

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Optimal Control Strategy of Platform Load Oriented to Network and Load Cooperation by Xuesong Shao, Gaoying Cui, Xiao Chen, Xinrong Ji, Yongxian Yi

“…In recent years, with the continuous growth of China’s power peak load and the rapid development of renewable energy, a large number of renewable energy sources are connected to the power grid, increasing the uncertainty of power grid operation and posing new major challenges to the power system regulation capacity. Flexible load has the characteristics of wide distribution, fast response, and high economy, which is an important control resource for the future power system. …”
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Renewable Energy Consumption Strategies for Electric Vehicle Aggregators Based on a Two-Layer Game by Xiu Ji, Mingge Li, Zheyu Yue, Haifeng Zhang, Yizhu Wang

“…The study provides theoretical support for the synergistic optimization of the power system and renewable energy and is of great practical significance for the large-scale application of electric vehicles and new energy consumption.…”
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Power flow and power quality improvement of a residential-industrial microgrid using 72-pulse inverter-based UIPC by Mahyar Abasi, Ali Nahavandi, Javad Ebrahimi, Gevork B. Gharehpetian

“…It also improves the microgrid power quality and the connected power system. The design presented in this work was modeled and implemented in MATLAB software, and the results of different test scenarios validated the optimal performance of the suggested design.…”
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Wearable Biodevices Based on Two-Dimensional Materials: From Flexible Sensors to Smart Integrated Systems by Yingzhi Sun, Weiyi He, Can Jiang, Jing Li, Jianli Liu, Mingjie Liu

“…The review categorizes cutting-edge wearable biodevices by their interactions with physical, electrophysiological, and biochemical signals, showcasing how 2D materials enhance these devices' functionality, mainly including self-powering and human-machine interaction. 2D materials enable multifunctional, high-performance biodevices, integrating self-powered systems, treatment platforms, and human-machine interactions, though challenges remain in practical applications.…”
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Wireless Sensor Networks for Smart Grid Applications: A Case Study on Link Reliability and Node Lifetime Evaluations in Power Distribution Systems by Gurkan Tuna, V. Cagri Gungor, Kayhan Gulez

“…Importantly, node lifetime and link reliability in wireless sensor networking for smart grid applications have been evaluated through case studies based on field tests in electric power system environments.…”
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Two-stage multi-timescale optimal scheduling for electricity-hydrogen coupling systems based on scenario approach and deep reinforcement learning by CHEN Zhe, WEI Meijia, LIN Da, LI Zhihao, CHEN Jian

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