Výsledky vyhledávání - "large-scale wind power"

Akademický článek

Two-Stage Optimal Configuration Strategy of Distributed Synchronous Condensers at the Sending End of Large-Scale Wind Power Generation Bases

Autor: Lang Zhao, Zhidong Wang, Yizheng Li, Xueying Wang, Zhiyun Hu, Yunpeng Xiao

Publikováno v: Energies, Vol 17, Iss 18, p 4748 (2024)

The transmission end of large-scale wind power generation bases faces challenges such as high AC-DC coupling strength, low system inertia, and weak voltage support capabilities. Deploying distributed synchronous condensers (SCs) within and around win

Externí odkaz: https://doaj.org/article/d15ca7c2545949cd914515be7eb3953b

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Akademický článek

Steady-state deduction methods of a power system based on the prediction of large-scale wind power clusters

Autor: Rongqiang Feng, Haiping Yu, Xueqiong Wu, Chenxi Huang, Tianchi Du, Wei Ding

Publikováno v: Frontiers in Energy Research, Vol 11 (2023)

The integration of a high proportion of wind power has brought disorderly impacts on the stability of the power system. Accurate wind power forecasting technology is the foundation for achieving wind power dispatchability. To improve the stability of

Externí odkaz: https://doaj.org/article/055951065e264338aa575ae106fb4693

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Akademický článek

A Grid Status Analysis Method with Large-Scale Wind Power Access Using Big Data

Autor: Dan Liu, Yiqun Kang, Heng Luo, Xiaotong Ji, Kan Cao, Hengrui Ma

Publikováno v: Energies, Vol 16, Iss 12, p 4802 (2023)

Targeting the problem of the power grid facing greater risks with the connection of large-scale wind power, a method for power grid state analysis using big data is proposed. First, based on the big data, the wind power matrix and the branch power ma

Externí odkaz: https://doaj.org/article/bdfd4755bb874b77b726575b391424aa

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Modeling and Simulation of Large-Scale Wind Power Base Output Considering the Clustering Characteristics and Correlation of Wind Farms

Autor: Mingzhe Zhao, Yimin Wang, Xuebin Wang, Jianxia Chang, Yong Zhou, Tao Liu

Publikováno v: Frontiers in Energy Research, Vol 10 (2022)

The rapid development of renewable energy improves the requirements of renewable energy output simulation. The clustering characteristics and correlation of renewable energy would improve the accuracy of power output simulation. To clarify the typica

Externí odkaz: https://doaj.org/article/d26eb6b53d1a46949359402c3c19fbf0

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Akademický článek

Difference between grid connections of large-scale wind power and conventional synchronous generation

Autor: Jie Li, Chao Liu, Pengfei Zhang, Yafeng Wang, Jun Rong

Publikováno v: Global Energy Interconnection, Vol 3, Iss 5, Pp 486-493 (2020)

In China, regions with abundant wind energy resources are generally located at the end of power grids. The power grid architecture in these regions is typically not sufficiently strong, and the energy structure is relatively simple. Thus, connecting

Externí odkaz: https://doaj.org/article/33b856f2899f496b87ed068492930226

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Akademický článek

Probabilistic load flow method considering large-scale wind power integration

Autor: Xiaoyang Deng, Pei Zhang, Kangmeng Jin, Jinghan He, Xiaojun Wang, Yuwei Wang

Publikováno v: Journal of Modern Power Systems and Clean Energy, Vol 7, Iss 4, Pp 813-825 (2019)

The increasing penetration of wind power brings great uncertainties into power systems, which poses challenges to system planning and operation. This paper proposes a novel probabilistic load flow (PLF) method based on clustering technique to handle

Externí odkaz: https://doaj.org/article/27b9d45de40b481e94c697b0dcb463ab

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