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计及风电并网的海上油气田综合能源系统日前优化调度
作者:
作者单位:

1.天津大学电气自动化与信息工程学院,天津市 300072;2.中海油能源发展股份有限公司清洁能源分公司,天津市 300450

摘要:

为降低海上油气田碳排放,运营商正积极推进海上风电与海上油气田联合开发。现有面向平稳源荷关系的调度策略难以应对不确定性海上风电的接入。为降低运行成本,提升风电消纳能力,提出一种燃气轮机机组与海上风电协同的海上油气田综合能源系统(OIES)日前优化调度策略。首先,阐述了计及海上风电的多油气平台互联OIES典型结构。然后,提出多燃气轮机机组等负载率协调运行的风功率波动平抑策略和最低负载率动态管理的风电消纳水平提升策略。最后,构建了考虑电-气-油耦合约束、燃气轮机机组运行约束以及风电不确定性的鲁棒日前优化调度模型。中国北方某海上油气田算例分析结果表明,所提策略能有效降低总运行成本和弃风率。

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基金项目:

国家自然科学基金资助项目(52107119)。

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Optimal Day-ahead Scheduling for Integrated Energy System of Offshore Oil and Gas Field Considering Wind Power Integration
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Abstract:

To mitigate carbon emissions from offshore oil and gas fields, operators are actively promoting joint development of offshore wind power and offshore oil and gas fields. The existing scheduling strategies, designed for stable relationship between sources and loads, are difficult to cope with the wind power uncertainty. To reduce the operation costs and improve the absorption ability of wind power, a day-ahead scheduling strategy for integrated energy system (OIES) of offshore oil and gas field is proposed, which coordinates turbine generators and offshore wind power. Firstly, a typical OIES structure that integrates multiple platforms with offshore wind power is presented. Then, a suppressing strategy of wind power fluctuationan with equivalent load rate and a promotion strategy of wind power consumption level with dynamic management governing the minimum load rate for turbine generators are proposed. Finally, an optimal robust day-ahead scheduling model is established, considering the coupling constraints of power, gas and oil systems, the operation constraints of turbine generators, and wind power uncertainty. Based on a case study of an offshore oil and gas field in Northern China, the results show that the proposed strategy can effectively reduce total operation cost and curtailment rate.

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Foundation:
This work is supported by National Natural Science Foundation of China (No. 52107119).
引用本文
[1]刘静,徐宪东,刘龙飞,等.计及风电并网的海上油气田综合能源系统日前优化调度[J/OL].电力系统自动化,http://doi. org/10.7500/AEPS20231218009.
LIU Jing, XU Xiandong, LIU Longfei, et al. Optimal Day-ahead Scheduling for Integrated Energy System of Offshore Oil and Gas Field Considering Wind Power Integration[J/OL]. Automation of Electric Power Systems, http://doi. org/10.7500/AEPS20231218009.
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  • 收稿日期:2023-12-18
  • 最后修改日期:2024-06-20
  • 录用日期:2024-03-20
  • 在线发布日期: 2024-07-03
  • 出版日期: