摘要详情

ID / 提交时间

105 / 2021-10-25 09:37:00

标题

Power System Reliability Assessment With Offshore Wind Farms

关键字

reliability assessment, sequential Monte Carlo algorithm, multiple influencing factors, offshore wind farm, onshore grid

主题及专题

Renewable energy system > Other topics in renewable energy

状态

终稿

作者

Feixiang Ying / Shanghai University of Electric Power

Lingling Huang / Shanghai University of Electric Power

Jintao Yan / Shanghai University of Electric Power

Yang Liu / Shanghai University

Qiguo Wang / Shanghai University of Electric Power

Yuzhi Miao / Shanghai University of Electric Power

摘要

Wind power is one of the more effective ways to solve the energy crisis and environmental pollution problems. Compared with onshore wind power, offshore wind power has a good prospect for development because of its advantages of saving land resources and stable and abundant wind energy. As the installed capacity of offshore wind power is gradually increasing in the power system, it is especially important to analyze the reliability of power systems containing offshore wind power farms. The method first predicts the wind speed of offshore wind farms based on historical data using ARMA algorithm, and establishes an offshore wind farm output model. Then, a sequential Monte Carlo method and a modified RBTS test system are used to analyze and compare the reliability of the power system with offshore wind power system under the influence of wind speed characteristics, offshore wind turbine and cable failure, onshore unit failure, and onshore load. Finally, the correctness and practicality of the proposed method are verified by simulation. The simulation and analysis results show that the proposed method can provide some reference for offshore wind farm planning.

重要日期

会议日期

07月11日

2023

至

08月18日

2023
11月10日 2021

初稿截稿日期
12月10日 2021

注册截止日期
12月11日 2021

报告提交截止日期

主办单位

IEEE IAS

承办单位

IEEE IAS Student Chapter of Southwest Jiaotong University (SWJTU)
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
IEEE PELS (Power Electronics Society) Student Chapter of HUST