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ISSN 2096-4528
CN 33-1405/TK
Power Generation Technology (CN 33-1405/TK; ISSN 2096-4528) was founded in 1979. It is an academic journal approved by the The State Administration of Press, Publication, Radio, Film and Television of the People's Republic of China, governed by China Huadian Corporation Ltd., sponsored by China Huadian Power Research Institute Co., Ltd., and co-organized by Thermoelectric Professional Committee of Chinese Society for Electrical Engineering. The journal is published by the Editorial Department of Power Generation Technology.
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Current Issue
Volume 46 Issue 3, 30 June 2025
  
Application of AI in New Power System
Key Technologies and Application Prospects of Intelligent Computing in Power Systems
Jun ZHANG, Tianjiao PU, Wenzhong GAO, Youbo LIU, Wei PEI, Peidong XU, Tianlu GAO, Yuyang BAI
Power Generation Technology, 2025, 46(3): 421-437.
Abstract ( ) HTML ( )     PDF (4477KB) ( )  
https://doi.org/10.12096/j.2096-4528.pgt.24240
Review of Power System Prediction Technologies Based on Large Language Models
Zuhan ZHANG, Dunnan LIU, Hang FAN, Liuqing YANG, Yunjie DUAN, Yun LI, Zhenyu MA
Power Generation Technology, 2025, 46(3): 438-453.
Abstract ( ) HTML ( )     PDF (1601KB) ( )  
https://doi.org/10.12096/j.2096-4528.pgt.24152
Applications and Prospects of Graph Retrieval-Augmented Generation Technology Based on Large Language Models in the Nuclear Power Field
Haoran XU, Jinyun ZHANG, Xin MA, Wenqiang LEI, Jieming CAO
Power Generation Technology, 2025, 46(3): 454-466.
Abstract ( ) HTML ( )     PDF (1716KB) ( )  
https://doi.org/10.12096/j.2096-4528.pgt.25084
Review of Artificial Intelligence Applications in Accelerating Operational Simulation of Power Systems
Yixuan CHEN, Jiayang WANG, Yingjun ZHUO, Siyu LU, Baorong ZHOU
Power Generation Technology, 2025, 46(3): 467-481.
Abstract ( ) HTML ( )     PDF (2037KB) ( )  
https://doi.org/10.12096/j.2096-4528.pgt.25071
Analysis of Key Technologies and Development Prospects for Renewable Energy-Powered Water Electrolysis for Hydrogen Production Based on Artificial Intelligence
Bo YANG, Zijian ZHANG
Power Generation Technology, 2025, 46(3): 482-495.
Abstract ( ) HTML ( )     PDF (1162KB) ( )  
https://doi.org/10.12096/j.2096-4528.pgt.24167
Research on Large-Signal Stability Assessment Methods of DC Microgrids Based on Artificial Intelligence
Sucheng LIU, Li LUAN, Long LI, Tao HONG, Xiaodong LIU
Power Generation Technology, 2025, 46(3): 496-507.
Abstract ( ) HTML ( )     PDF (3396KB) ( )  
https://doi.org/10.12096/j.2096-4528.pgt.24074
Review of Application on Optimization Strategies for New-Type Power System Based on Reinforcement Learning
Zhengyi YAN, Kang ZHAO, Kai WANG
Power Generation Technology, 2025, 46(3): 508-520.
Abstract ( ) HTML ( )     PDF (1270KB) ( )  
https://doi.org/10.12096/j.2096-4528.pgt.24227
Location Detection of False Data Injection Attacks in Power Grid Based on Improved Deep Extreme Learning Machine
Lei XI, Yixiao WANG, Yahui XIONG, Lu DONG
Power Generation Technology, 2025, 46(3): 521-531.
Abstract ( ) HTML ( )     PDF (5333KB) ( )  
https://doi.org/10.12096/j.2096-4528.pgt.24115
Detection Algorithm for Insulators and Foreign Objects on Transmission Lines Based on Unmanned Aerial Vehicle Inspection
Zihan YU, Heming WANG, Jiankai WANG, Shengqiang ZHU, Xiangzhong MENG
Power Generation Technology, 2025, 46(3): 532-540.
Abstract ( ) HTML ( )     PDF (4159KB) ( )  
https://doi.org/10.12096/j.2096-4528.pgt.24230
State Estimation and Fault Diagnosis of Proton Exchange Membrane Fuel Cells Based on Artificial Intelligence
Ruyi ZHENG, Bo YANG, Shuai ZHOU, Lin JIANG, Hongbiao LI, Dengke GAO
Power Generation Technology, 2025, 46(3): 541-555.
Abstract ( ) HTML ( )     PDF (2447KB) ( )  
https://doi.org/10.12096/j.2096-4528.pgt.25146
New Energy
Review of Wind-Solar-Hydrogen-Ammonia-Methanol Integrated Technologies and Industry
Yongkang WANG, Jun YI, Xiaodi XIE
Power Generation Technology, 2025, 46(3): 556-569.
Abstract ( ) HTML ( )     PDF (2483KB) ( )  
https://doi.org/10.12096/j.2096-4528.pgt.25021
Research Progress on Utilization of Arundo Donax L. Combustion
Yicai WANG, Xin YU, Dunxi YU
Power Generation Technology, 2025, 46(3): 570-578.
Abstract ( ) HTML ( )     PDF (718KB) ( )  
https://doi.org/10.12096/j.2096-4528.pgt.24176
Research on Shadow Mitigation Strategy for Sloped Photovoltaic Arrays Based on Environmental Parameter Model
Bin HUANG, Wei ZHAO, Lida LIAO, Meng XIAO, Jialiang HUANG, Ke XING
Power Generation Technology, 2025, 46(3): 579-589.
Abstract ( ) HTML ( )     PDF (6683KB) ( )  
https://doi.org/10.12096/j.2096-4528.pgt.23152
Modeling Simulation and Experimental Verification of Focal Length Optimization in Linear Fresnel Collector
Zhiyong ZHANG, Linggang KONG, Duojin FAN, Xiaojuan LU
Power Generation Technology, 2025, 46(3): 590-599.
Abstract ( ) HTML ( )     PDF (3630KB) ( )  
https://doi.org/10.12096/j.2096-4528.pgt.23184
New Power System
Study on Dredging Strategy and Electricity Price Calculation of Pumped Storage Power Station in Xinjiang
Changling LI, Xiqiang CHANG, Hao LU, Zhizheng HU
Power Generation Technology, 2025, 46(3): 600-606.
Abstract ( ) HTML ( )     PDF (809KB) ( )  
https://doi.org/10.12096/j.2096-4528.pgt.23174
Investment Decision and Economic Analysis of Distributed Photovoltaic Power Stations
Chizhong WANG, Xin GAO, Heng CHEN, Guoqiang ZHANG, Kai ZHANG
Power Generation Technology, 2025, 46(3): 607-616.
Abstract ( ) HTML ( )     PDF (1169KB) ( )  
https://doi.org/10.12096/j.2096-4528.pgt.23032
Power Generation and Environmental Protection
Research Progress on Supercritical CO2-Based Mixture Brayton Cycle
Tiankun WANG, Tianye LIU, Jiafei QIAO, Bingbing WANG, Zhen YANG, Yuanyuan DUAN
Power Generation Technology, 2025, 46(3): 617-626.
Abstract ( ) HTML ( )     PDF (1851KB) ( )  
https://doi.org/10.12096/j.2096-4528.pgt.23170
NO x Prediction for Deep Peaking Regulation of Circulating Fluidized Bed Units Based on Data-Driven
Pengxin ZHANG, Mingming GAO, Peiran XIE, Haoyang YU, Hongfu ZHANG, Zhong HUANG
Power Generation Technology, 2025, 46(3): 627-636.
Abstract ( ) HTML ( )     PDF (2959KB) ( )  
https://doi.org/10.12096/j.2096-4528.pgt.23135
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