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Fengting Li

Xinjiang University

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Zhaohai Meng

Hebei University of Technology

Chunya Yin

Xinjiang University

Gaohang Zhang

Xinjiang University

Wei Li

Hunan University

Ruijing Shi

Xinjiang Institute of Engineering

Xuechun Xu

Jilin University

Danian Huang

Jilin Province Science and Technology Department

Xiaochao Fan

China Resources (China)

Ke‐Jian Jiang

Chinese Academy of Sciences

Yanting Xu

Kunming Institute of Precious Metals

Cooperative Institutions

Chinese Academy of Sciences

University of Chinese Academy of Sciences

Xinjiang University

Institute of Chemistry

Jilin University

Beijing National Laboratory for Molecular Sciences

China Academy of Printing Technology

Jilin Medical University

Jilin Province Science and Technology Department

Zhengzhou University

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A novel method to predict and prevent commutation failures in LCC-HVDC systems

International Journal of Electrical Power & Energy Systems (2022)

Bohao Zhou Fengting Li Chunya Yin

Commutation

10.1016/j.ijepes.2022.108399

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Citations (6)

A multifunctional interlayer for highly stable and efficient perovskite solar cells based on pristine poly(3- hexylthiophene)

Chemical Engineering Journal (2022)

Wei‐Min Gu Ke‐Jian Jiang Fengting Li Guanghui Yu Yanting Xu

10.1016/j.cej.2022.136644

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Citations (26)

A novel evaluation method for the risk of simultaneous commutation failure in multi-infeed HVDC-systems that considers DC current rise

International Journal of Electrical Power & Energy Systems (2021)

Chunya Yin Fengting Li

Commutation

High-voltage direct current

10.1016/j.ijepes.2021.107051

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Citations (13)

Improvement of density inversion efficiency with projected gradient method: Application to FTG data

Journal of Applied Geophysics (2023)

Zhaohai Meng Fengting Li Wanguo Liu Wei Li

10.1016/j.jappgeo.2023.105276

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Projected Barzilai-Borwein method for the acceleration of gravity field data inversion

Exploration Geophysics (2020)

Zhaohai Meng Wei Li Fengting Li Hongyu Li

The recovery of 3D volume of density from gravity field data is a key feature of geophysical and geological interpretations. Gravity field data inversion involves solving an underdetermined problem; therefore, large-scale data inversion is costly in time and memory consumption. Calculation efficiency is a primary concern for gravity field data inversion; therefore, multiple methods are considered and applied to increase the inversion efficiency. The solution for an inversion problem was formulated by incorporating constraints to obtain stable inversion results, and a new projected Barzilai-Borwein iterative algorithm was applied to accelerate convergence of the inversion method. To test the potential application of the projected Barzilai-Borwein iterative method, synthetic gravity data simulations and real data applications were carried out. Numerical performances and practical application indicate the fast convergence of projected Barzilai-Borwein iterative method and the increase in the calculated efficiency.

Potential field

10.1080/08123985.2020.1814140

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Citations (3)

Robust low-carbon energy and reserve scheduling considering operational risk and flexibility improvement

Gaohang Zhang Fengting Li Sen Wang Chunya Yin

Robust Optimization

Robustness

CVAR

Economic Dispatch

10.1016/j.energy.2023.129332

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Analysis of energy storage demand for peak shaving and frequency regulation of power systems with high penetration of renewable energy

Sen Wang Fengting Li Gaohang Zhang Chunya Yin

Peaking power plant

Demand Response

Peak demand

10.1016/j.energy.2022.126586

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Citations (67)

Analysis and countermeasures of wind power curtailment in China

Renewable and Sustainable Energy Reviews (2015)

Xiaochao Fan Weiqing Wang Ruijing Shi Fengting Li

10.1016/j.rser.2015.08.025

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Citations (76)

Large Airborne Full Tensor Gradient Data Inversion Based on a Non-Monotone Gradient Method

Pure and Applied Geophysics (2017)

Yong Sun Zhaohai Meng Fengting Li

10.1007/s00024-017-1723-7

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Citations (2)

Comment on: “Fast 3D inversion of gravity data using solution space priorconditioned Lanczos bidiagonalization”, by Mohammad Rezaie, Ail Moradzadeh and Ali Nejati Kalateh

Journal of Applied Geophysics (2020)

Zhaohai Meng Fengting Li

Ground-Penetrating Radar

10.1016/j.jappgeo.2020.104082

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Citations (1)