Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Zhengwei Qu"'
Publikováno v:
IEEE Access, Vol 12, Pp 179-191 (2024)
With the development of cyber technology, the intelligence of power systems has increased, and cyber-physics is highly integrated and mutually constrained. In this paper, a globalized cyber-physical cooperative recovery strategy based on node importa
Externí odkaz:
https://doaj.org/article/7e4bac412e674b2f961553d0276db2cb
Publikováno v:
Energies, Vol 17, Iss 2, p 517 (2024)
Electrical power networks consist of numerous energy control zones connected by tie-lines, with the addition of nonconventional sources resulting in considerable variations in tie-line power and frequency. Under these circumstances, a load frequency
Externí odkaz:
https://doaj.org/article/09aba103b81540a2a2d0580701ab0cae
Publikováno v:
IEEE Access, Vol 10, Pp 20633-20642 (2022)
Voltage fluctuation and power mismatch which are caused by the decentralization, randomness, and intermittence of distributed energy resource along with load variability cause severe impacts on the security and quality of power network operation. Aim
Externí odkaz:
https://doaj.org/article/38771de8ee7e4e38b7adca3938bd500e
Publikováno v:
Frontiers in Energy Research, Vol 10 (2023)
Improving the accuracy of the vulnerability assessment of the power cyber-physical system has important practical value for protecting the vulnerable links of the system and preventing large power outages. This article studies the vulnerability asses
Externí odkaz:
https://doaj.org/article/766ac97113954612938658765d657186
Publikováno v:
Machines, Vol 11, Iss 1, p 83 (2023)
False data injection attacks change the control effect of automatic generation control systems, which may cause a destructive impact on power systems. In this paper, the data from the regular operation of a system and the data from false data injecti
Externí odkaz:
https://doaj.org/article/dffe420041914b36b17e55376250802b
Autor:
Qifeng Jiang, Ramdane Boulahia, Fahmi Zaïri, Iurii Vozniak, Zhengwei Qu, Jean-Michel Gloaguen, Xiaobing Liu
Publikováno v:
Polymers, Vol 14, Iss 23, p 5287 (2022)
Equal channel angular extrusion (ECAE) is a solid-state extrusion process for modifying microstructures via severe plastic deformation without modifying the specimen cross section. In this study, changes in the microstructure and mechanical propertie
Externí odkaz:
https://doaj.org/article/cd3ed55087114b8aa480a4bc669fc44f
Publikováno v:
IEEE Access, Vol 7, Pp 108593-108603 (2019)
Owing to its modular construction, ability for bi-directional power flow and suitability for AC/DC grids, solid-state transformer (SST) is expected to be the backbone of the future smart grids. One of the main drawbacks of SST is the generation of ne
Externí odkaz:
https://doaj.org/article/916f5116401a4bb381b6bd05d70e445e
Publikováno v:
Energies, Vol 15, Iss 5, p 1733 (2022)
The high integration of power information physical system improves the efficiency of power transmission, but it also brings new threats to power grid. False data injection attacks can use traditional bad data to detect vulnerabilities and maliciously
Externí odkaz:
https://doaj.org/article/7578885a798d4b8a824433e31969e566
Autor:
Zhengwei Qu, Yi Wang, Pingan Yang, Wei Zheng, Nan Li, Jingying Bai, Youwei Zhang, Kailin Li, Dashuang Wang, Zhaohui Liu, Kexin Yao, Rui Li, Yuxin Zhang
Publikováno v:
Molecules, Vol 27, Iss 1, p 135 (2021)
In this work, spherical flower-shaped composite carbonyl iron powder@MnO2 (CIP@MnO2) with CIP as the core and ultrathin MnO2 nanosheets as the shell was successfully prepared by a simple redox reaction to improve oxidation resistance and electromagne
Externí odkaz:
https://doaj.org/article/d11a29fcd63f40afbcba59d1a7ae3693
Publikováno v:
Energies, Vol 13, Iss 8, p 2039 (2020)
Effective detection of electricity theft is essential to maintain power system reliability. With the development of smart grids, traditional electricity theft detection technologies have become ineffective to deal with the increasingly complex data o
Externí odkaz:
https://doaj.org/article/9f4da83a799f4c50ade623515c61193a