引用本文:孟庆伟,赵睿,钟振芳,王艳松.风电接入远海油气平台的规划方法[J].电力自动化设备,2024,44(4):48-54
MENG Qingwei,ZHAO Rui,ZHONG Zhenfang,WANG Yansong.Planning method of offshore oil and gas platform integrated with wind power[J].Electric Power Automation Equipment,2024,44(4):48-54
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风电接入远海油气平台的规划方法
孟庆伟, 赵睿, 钟振芳, 王艳松
中国石油大学(华东)新能源学院,山东 青岛 266580
摘要:
海上风电直供远海油气平台可降低发电成本和碳排放,但传统规划方法不适用于远海油气平台的负荷特性。在考虑海上油田电力系统燃气透平机组与负荷特性的基础上,建立计及风-燃-荷功率动态匹配特性的扩展概率潮流模型,提出适用于远海油气平台的风机规划方法。采用所提潮流计算方法,在满足远海油田电力系统的电压、线路载流量等约束条件下,以年发电成本与年碳排放量的综合成本最低为目标建立规划模型,并采用粒子群优化算法对模型进行求解。以我国某远海油田电力系统为例,提出针对远海油田电力系统特点的风电接入方案,算例结果表明,所提规划方法具有可行性。
关键词:  远海油气平台  海上风电  海上油田燃-荷特性  粒子群优化  概率潮流
DOI:10.16081/j.epae.202309026
分类号:TM614
基金项目:
Planning method of offshore oil and gas platform integrated with wind power
MENG Qingwei, ZHAO Rui, ZHONG Zhenfang, WANG Yansong
New Energy College, China University of Petroleum(East China),Qingdao 266580, China
Abstract:
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 cha-racteristic 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 conside-ring 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.
Key words:  offshore oil and gas platform  offshore wind power  fuel-load characteristic of offshore oil field  particle swarm optimization  probabilistic power flow

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