Zobrazeno 1 - 10
of 367
pro vyhledávání: '"Hexu Sun"'
Publikováno v:
Energy Science & Engineering, Vol 12, Iss 3, Pp 577-595 (2024)
Abstract Aiming at the shortcomings of feature extraction and fault identification in fault diagnosis of wind power converters, a novel method for open circuit fault diagnosis of wind power converters based on variational mode decomposition (VMD) ene
Externí odkaz:
https://doaj.org/article/4561e50e4a7c4b98804d044b15cb39ec
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 5, Pp 931-940 (2024)
Abstract Wind power is an exceptionally clean source of energy; its rational utilization can fundamentally alleviate the energy, environment, and development problems, especially under the goals of ‘carbon peak’ and ‘carbon neutrality’. A com
Externí odkaz:
https://doaj.org/article/306168e254d245c2829c38e101cfc5f5
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 6449-6460 (2023)
Accurate prediction of short-term wind power plays an important role in the safe operation and economic dispatch of the power grid. In response to the current single algorithm that cannot further improve the prediction accuracy, this study proposes a
Externí odkaz:
https://doaj.org/article/ad10081ad8c24e0187f1256c052d2fb7
Autor:
Zheng Li, Shuai Che, Hui Zhao, Lucheng Zhang, Pengju Wang, Shenhui Du, Hongjie Zhang, Yiguan Feng, Hexu Sun
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 2379-2394 (2023)
In recent years, with the increasing consumption of resources around the world, motors in various industries are also urgently added to the ranks of energy saving and emission reduction. High-speed permanent magnet air compressor is widely used in va
Externí odkaz:
https://doaj.org/article/5650d6d919c341cea6e58de65d03600d
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 335-344 (2023)
Wind power forecasting plays a key role in balancing the power supply and load demand of the system. To achieve reasonable processing and decomposition of input data for power prediction, a combined forecasting model is proposed, in which Sparrow Sea
Externí odkaz:
https://doaj.org/article/2ab6d9b8f444402ab8804528e6eb2eb5
Publikováno v:
Journal of Hebei University of Science and Technology, Vol 44, Iss 4, Pp 323-334 (2023)
In order to further improve the accuracy of wind power forecasting, a combined forecasting method based on sparrow search algorithm (SSA) optimizing variational mode decomposition (VMD) parameters was proposed. Firstly, the SSA was used to optimize t
Externí odkaz:
https://doaj.org/article/0b3af61b13654fd39c0e48e12b3ab2f9
Publikováno v:
Energies, Vol 17, Iss 5, p 1132 (2024)
A novel multi-objective robust optimization model of an integrated energy system with hydrogen storage (HIES) considering source–load uncertainty is proposed to promote the low-carbon economy operation of the integrated energy system of a park. Fir
Externí odkaz:
https://doaj.org/article/f6de6c8352a64848a5fcf1c52ec3d952
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 9025-9037 (2022)
Short-term wind power forecasting is of great significance to the real-time dispatching of power systems, but the short-term forecasting accuracy of wind power is not high. To this end, this paper proposes a hybrid prediction model that combines the
Externí odkaz:
https://doaj.org/article/afceeb462bec4f7481bd1eda0a8b73a8
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 8574-8588 (2022)
The non-linearity and non-stationarity of wind power data have brought great challenges to the safe operation of the power system. It is particularly important to effectively improve the accuracy of ultra-short-term prediction of wind power. Therefor
Externí odkaz:
https://doaj.org/article/fb97ac6de7e74a4f9d6121d8d786c07d
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 223-232 (2022)
Non grid connected wind power hydrogen production technology is of great significance for the large-scale comprehensive utilization of hydrogen energy and accelerating the development of clean energy. In this paper, an electrolyzer power allocation a
Externí odkaz:
https://doaj.org/article/a67ed4885e2f44a19deb007395f306bd