TY - GEN
T1 - Access Point Selection for Offshore Wind Farm Transmitted by Fractional Frequency Transmission System
AU - Xu, Enchao
AU - Gan, Runcheng
AU - Zhao, Boyang
AU - Zhang, Peng
AU - Li, Jing
AU - Wang, Xiuli
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Driven by the requirements of the energy transition due to climate change, wind power is developing rapidly. Offshore wind farms are the main trend of future wind power exploitation. In response to the issue of offshore wind farms being connected to the onshore power grid through fractional frequency transmission system, this paper analyzes the factors affecting the selection of access points for offshore wind farms, proposes evaluation indexes for access points and a combination weight model based on the maximum variation coefficient. Simulation results of an offshore wind farm connected to the power grid of an eastern coastal province show that the proposed method enhances the wind power consumption and improves the safety of the power grid.
AB - Driven by the requirements of the energy transition due to climate change, wind power is developing rapidly. Offshore wind farms are the main trend of future wind power exploitation. In response to the issue of offshore wind farms being connected to the onshore power grid through fractional frequency transmission system, this paper analyzes the factors affecting the selection of access points for offshore wind farms, proposes evaluation indexes for access points and a combination weight model based on the maximum variation coefficient. Simulation results of an offshore wind farm connected to the power grid of an eastern coastal province show that the proposed method enhances the wind power consumption and improves the safety of the power grid.
KW - access point selection
KW - combination weight optimization
KW - fractional frequency transmission system
KW - offshore wind farm
UR - https://www.scopus.com/pages/publications/105007637179
U2 - 10.1109/EI264398.2024.10991401
DO - 10.1109/EI264398.2024.10991401
M3 - 会议稿件
AN - SCOPUS:105007637179
T3 - 2024 IEEE 8th Conference on Energy Internet and Energy System Integration, EI2 2024
SP - 1168
EP - 1173
BT - 2024 IEEE 8th Conference on Energy Internet and Energy System Integration, EI2 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE Conference on Energy Internet and Energy System Integration, EI2 2024
Y2 - 29 November 2024 through 2 December 2024
ER -