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161 results on '"Chen, Qiaoshan"'

24. Faulty Feeder Detection Based on Space Relative Distance for Compensated Distribution Network With IIDG Injections

Author

Song Qin, Chen Qiaoshan, Xiangjun Zeng, Yuanyuan Wang, and Huang Xiancheng

Subjects
Boosting (machine learning), Distribution networks, Computer science, Energy Engineering and Power Technology, Kalman filter, Current source, Symmetrical components, Control theory, Electromagnetic coil, Electrical and Electronic Engineering, MATLAB, Electrical impedance, computer, computer.programming_language
Abstract

To improve the accuracy of faulty feeder selection based on zero sequence current mutation, distribution networks with inverter-interfaced distributed generators (IIDGs) are analyzed in detail. It is found that the IIDGs cannot be completely equivalent to a positive sequence current source due to their boosting increments. Thereby, a more accurate IIDG current estimation model based on the Gauss-Seidel method that considers the control strategy at the moment of fault is established. Moreover, a real-time estimation algorithm is introduced for faulty feeder detection to adjust the compensation degree of the Petersen coil. On this basis, this paper proposes a novel faulty feeder detection approach using the zero-sequence current space relative distance between the increments of each feeder and an estimation of the faulty path generated by Kalman filtering (KAF). The feasibility of the proposed approach is demonstrated in both a PSCAD/EMTDC simulation and a MATLAB experimental laboratory. The test results indicate that the proposed approach can achieve a high speed when employed for different fault conditions.

Published
2021

30. An Artificial Photosystem of Metal‐Insulator‐CTF Nanoarchitectures for Highly Efficient and Selective CO2 Conversion to CO.

Author

Tian, Jinjin, Zhang, Jinpeng, Xu, Bin, Chen, Qiaoshan, Huang, Guocheng, and Bi, Jinhong

Subjects
PHOTOREDUCTION, TRIAZINES, CARBON sequestration, CETYLTRIMETHYLAMMONIUM bromide, METAL nanoparticles, METAL insulator semiconductors, PHOTOSYSTEMS, CARBON dioxide
Abstract

It is of pivotal significance to explore robust photocatalysts to promote the photoreduction of CO2 into solar fuels. Herein, an intelligent metal‐insulator‐semiconductor (MIS) nano‐architectural photosystem was constructed by electrostatic self‐assembly between cetyltrimethylammonium bromide (CTAB) insulator‐capped metal Ni nanoparticles (NPs) and covalent triazine‐based frameworks (CTF‐1). The metal‐insulator‐CTF composites unveiled a substantially higher CO evolution rate (1254.15 μmol g−1 h−1) compared with primitive CTF‐1 (1.08 μmol g−1 h−1) and reached considerable selectivity (98.9 %) under visible‐light irradiation. The superior photocatalytic CO2 conversion activity over Ni‐CTAB‐CTF nanoarchitecture could be attributed to the larger surface area, reinforced visible‐light response, and CO2 capture capacity. More importantly, the Ni‐CTAB‐CTF nanoarchitecture endowed the photoexcited electrons on CTF‐1 with the ability to tunnel across the thin CTAB insulating layer, directionally migrating to Ni NPs and thereby leading to the efficient separation of photogenerated electrons and holes in the photosystem. In addition, isotope‐labeled (13CO2) tracer results verified that the reduction products come from CO2 rather than the decomposition of the photocatalysts. This study opens a new avenue for establishing a highly efficient and selective artificial photosystem for CO2 conversion. [ABSTRACT FROM AUTHOR]

Published
2022
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