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Journal of Electric Power Science and Technology (dianli kexue yu jishu xuebao) is an open-access academic journal that comprehensively reports the latest research results in the theoretical and applied aspects of electric power science and engineering technology, and introduces the development trends of electric power science and technology at home and abroad. The journal has been included in multiple databases, including the China Science Citation Database (CSCD), Peking University Core Journals, Chinese Science and Technology Core Journals, Research Center for Chinese Science Evaluation (RCCSE), CNKI, Wanfang Data, CA, and JST.

See the Aims and Scope for a complete coverage of the journal.

Current Issue: Volume 40, Issue 2 (2025)

Smart grid

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Transient stability assessment of power system in combination with update mechanism
Songkai LIU, Xiao GONG, Chao YANG, Longcheng LIU, Yanzhang LI, Lei ZHANG, and Yating ZHANG

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Method for power grid nodal inertia estimation based on maximum likelihood identification
Xinfan JIANG, Yonggang LIU, Mingrui SUN, Jinbo WU, Jingwen WANG, and Yunfeng WEN

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Relay protection setting calculation method for power grid based on Spark
Chuang SONG, Wei HAN, Xingwei DU, and Jingjun WANG

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Gaussian iterative power flow algorithm for distribution network considering affine model of distributed generation
Xinghua HUANG, Gonglin ZHANG, Feixiong CHEN, Han WU, Yuanliang FAN, Shichuan CHEN, and Hongbin WU

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Single‑phase grounding line selection method for multi‑terminal power supply distribution network
Wei WANG, Qinghui LU, Shuai LYU, Rui CUI, Peng YANG, Xianggen YIN, and Jian QIAO

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Fault detection in switchgear based on RFID sensors and deep learning
Zhen WANG, Ziquan LIU, Yongling LU, and Yujie LI

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A novel reactive power support and grounding fault control composite device based on station resources
Lijun TANG, Xinjun QIAN, Hongwen LIU, Chunming TU, Zejun HUANG, and Qi GUO

Clean energy and energy storage

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Photovoltaic and energy storage charging and switching station siting and capacity determination method considering ultra‑high power
Xiaonan LIU, Jian ZHANG, Zhida ZHANG, Jianing DUO, Shan CHENG, Shuang HAO, Yue ZHAO, and Haojie WANG

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Battery capacity degradation prediction of large‑scale energy storage power station based on binary neural network
Hang YANG, Yiguo GUO, Xiaoqing HUANG, Putong WEN, Dan XIE, Qibin BO, Yimu FU, and Jingxuan LI

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Multi‑stage constant‑current charging method of electric vehicle considering user charging law
Shuai YANG, Xiaoping LIU, Minqi YU, Hanjun DENG, Rui HUANG, and Mouhai LIU

Power electronics

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Unbalanced circulating current injection control of three‑phase MMC
Yufei YUE, Luhang HE, Libang WANG, and Yawen ZHANG

High voltage and insulation

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Vibration characteristics and signal inversion of oil‑immersed transformer based on electromagnetic‑structural field
Feng HUANG, Chun GUO, Bingbing QIU, Xiaodan QIU, Yi YANG, Fating YUAN, and Ruiqing JI