Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Yingjun Zhuo"'
Autor:
Wenfeng Yao, Ziyu Huo, Jin Zou, Chen Wu, Jiayang Wang, Xiang Wang, Siyu Lu, Yigong Xie, Yingjun Zhuo, Jinbing Liang, Run Huang, Ming Cheng, Zongxiang Lu
Publikováno v:
Energies, Vol 17, Iss 20, p 5088 (2024)
In order to consider the impact of source-load uncertainty on traditional power system planning methods, a medium- and long-term optimization planning method based on source-load uncertainty modeling and time-series production simulation is proposed.
Externí odkaz:
https://doaj.org/article/c431c027b5dc4111993c1fd3f73b90be
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 874-883 (2023)
The power sector is the largest emitter of carbon dioxide in China, and the coal-based energy structure presents an additional challenge to its decarbonization. Several studies have been conducted to find cost-optimal pathways for the low-carbon tran
Externí odkaz:
https://doaj.org/article/7751168b65e5448095b3db640cb7a8fb
Publikováno v:
Energies, Vol 11, Iss 7, p 1709 (2018)
In regional power grids with high wind power penetration, wind turbine tripping poses great challenges to short-term voltage stability. Dynamic reactive power (VAR) compensation (DVC) plays an important role in securing wind farm operation. To addres
Externí odkaz:
https://doaj.org/article/e0e02796524b4acfb73ece40fd5975cd
Publikováno v:
2022 Power System and Green Energy Conference (PSGEC).
Publikováno v:
2022 Power System and Green Energy Conference (PSGEC).
Publikováno v:
2022 4th International Conference on Power and Energy Technology (ICPET).
Publikováno v:
2022 4th International Conference on Power and Energy Technology (ICPET).
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 1171:012027
Under the constraint of peak carbon dioxide emissions before 2030 and carbon neutrality before 2060, the current status of the economy, social demography, energy consumption, industrial structure, energy intensity and power consumption in southern Ch
Publikováno v:
2018 International Conference on Power System Technology (POWERCON).
As growing penetration of wind power integrated into power system, effective model is demanded to capture the characteristics of wind power not only in statistics but in time dependency and spatial dependency. This paper proposes a novel model that i
Publikováno v:
2018 International Conference on Power System Technology (POWERCON).
A novel Wind Power Time Series (WPTS) model considering wind power fluctuations on different time scales is proposed in this paper. Weighted mathematical morphological filter (WMMF) is introduced to decompose WPTS into components of three time scales