Planning method of offshore oil and gas platform integrated with wind power

被引:0
|
作者
Meng Q. [1 ]
Zhao R. [1 ]
Zhong Z. [1 ]
Wang Y. [1 ]
机构
[1] New Energy College, China University of Petroleum(East China), Qingdao
关键词
fuel-load characteristic of offshore oil field; offshore oil and gas platform; offshore wind power; particle swarm optimization; probabilistic power flow;
D O I
10.16081/j.epae.202309026
中图分类号
学科分类号
摘要
The direct supply of offshore wind power to offshore oil and gas platform can reduce the power generation cost and carbon emission,but the traditional planning methods aren’t applicable to the load characteristic of offshore oil and gas platform. On the basis of considering the characteristic of gas turbine and load in offshore oil field power system,an extended probabilistic power flow model is established considering the dynamic matching characteristic of wind-fuel-load power,and a planning method of wind turbine suitable for the offshore oil and gas platform is proposed. Using the proposed power flow algorithm,a planning model is built with the minimum comprehensive cost of annual power generation cost and annual carbon emission as the object,with the constraints of offshore oil field power system such as the voltage and ampacity limit for transmission lines,and the model is solved by the particle swarm optimization algorithm. Taking an offshore oil field power system in China as an example,a wind power integration scheme is proposed aiming to the characteristic of offshore oil field power system,and the example results show that the proposed planning method is feasible. © 2024 Electric Power Automation Equipment Press. All rights reserved.
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页码:48 / 54
页数:6
相关论文
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