计及风电接入的海上油气田能源系统分层调控

doi:10.12204/j.issn.1000-7229.2024.03.006

电力建设 ›› 2024, Vol. 45 ›› Issue (3): 69-77.doi: 10.12204/j.issn.1000-7229.2024.03.006

• 综合能源系统能量品质理论与低碳高效应用·栏目主持王丹副教授、陈奇成教授、胡枭副教授、喻洁副教授· • 上一篇下一篇

计及风电接入的海上油气田能源系统分层调控

李志川¹, 杨季平¹, 孙兆恒¹, 李子航¹, 刘静², 刘龙飞², 徐宪东²()

1.中海油能源发展股份有限公司清洁能源分公司,天津市 300459
2.天津大学电气自动化与信息工程学院,天津市 300072

收稿日期:2023-04-23 出版日期:2024-03-01 发布日期:2024-02-28
通讯作者: 徐宪东(1987),男,博士,英才副教授/特聘研究员/博士生导师,主要从事综合能源系统仿真模拟与灵活调控等理论及其在高能耗工业与海上资源开发的工程应用研究,E-mail:xux27@tju.edu.cn。
作者简介:李志川(1982),男,博士,高级工程师,主要从事海上风电一体化开发技术研究;
杨季平(1976),男,学士,高级工程师,主要从事海洋工程电气仪表专业设计;
孙兆恒(1983),男,硕士,高级工程师,主要从事海上风电及综合能源利用技术研究;
李子航(1996),男,硕士,助理工程师,主要从事海上风电一体化开发相关研究;
刘静(1994),男,博士研究生,主要从事海上综合能系统建模与灵活调控理论研究;
刘龙飞(1999),男,硕士研究生,主要从事海上综合能源系统建模与灵活调控理论研究.
基金资助:
国家自然科学基金青年项目(52107119);中海油能源发展股份有限公司重大科技专项(HFZXKT-JN2021-06)

Hierarchical Control of Offshore Oil and Gas Platform Energy System Considering the Integration of Offshore Wind Power

LI Zhichuan¹, YANG Jiping¹, SUN Zhaoheng¹, LI Zihang¹, LIU Jing², LIU Longfei², XU Xiandong²()

1. Clean Energy Branch, CNOOC Energy Technology & Services Limited, Tianjin 300459, China
2. School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China

Received:2023-04-23 Published:2024-03-01 Online:2024-02-28
Supported by:
National Natural Science Foundation of China(52107119)

摘要/Abstract

摘要：

针对海上油气田电网对具有不确定性的海上风电的消纳难题,提出了基于燃气/燃油透平发电机与储能协同的海上油气田电网分层调控策略。首先,分析了海上油气田多能耦合特征以及含海上风电的海上油气田能源系统典型结构。在此基础上,提出了基于日前与日内优化调度的海上油气田综合能源系统分层调度策略,以平抑海上风电小时级不确定性。进一步,提出基于饱和滤波器的快速功率分配策略,通过储能与燃气/燃油透平发电机协同平抑海上风电的分钟级和秒级不确定性。最后,通过算例分析说明,所提分层调控策略能有效降低运行成本,提升海上风电的消纳能力。

关键词: 海上油气田, 海上风电并网, 风电调控, 分层调控, 优化调度

Abstract:

To support the integration of intermittent offshore wind power, a hierarchical control method based on the coordination of turbine generators and energy storage was developed for power grids of offshore oil and gas platforms. First, the multi-energy coupling characteristics and structures of offshore oil and gas platform energy systems were analyzed. Subsequently, a hierarchical control strategy was devised based on day-ahead scheduling and intraday horizon dispatch to smooth uncertainties at hourly level. Furthermore, a saturated filter-based power dispatch strategy was developed to coordinate turbine generators and energy storage to smooth the uncertainties at minute and second levels. Finally, the proposed strategy was tested using data from a real offshore oil and gas platform energy system. The results show that the proposed strategy can reduce the operating cost while supporting the integration of wind power.

Key words: offshore oil and gas field, offshore wind power integration, wind power regulation, hierarchical control, optimization scheduling

中图分类号:

TM741

李志川, 杨季平, 孙兆恒, 李子航, 刘静, 刘龙飞, 徐宪东. 计及风电接入的海上油气田能源系统分层调控[J]. 电力建设, 2024, 45(3): 69-77.

LI Zhichuan, YANG Jiping, SUN Zhaoheng, LI Zihang, LIU Jing, LIU Longfei, XU Xiandong. Hierarchical Control of Offshore Oil and Gas Platform Energy System Considering the Integration of Offshore Wind Power[J]. ELECTRIC POWER CONSTRUCTION, 2024, 45(3): 69-77.

图/表 15

图1 海上油气田综合能源系统结构

Fig.1 Structure of offshore oil and gas field integrated energy system

图2 海上油气田综合能源系统分层调控策略

Fig.2 Hierarchical control strategy for offshore oil and gas field integrated energy system

图3 储能支撑的透平发电机风电功率调节原理

Fig.3 Principe of using energy storge system to support turbine generator to host wind power

图4 基于饱和滤波器的控制算法示意图

Fig.4 Schematic diagram of control algorithm based on saturated filter

图5 海上油气田电网结构

Fig.5 Structure of offshore oil and gas field power system

图6 海上风电24 h出力数据

Fig.6 Offshore wind power in 24 hours

图7 海上风电日前和日内预测结果

Fig.7 Day-ahead and intraday forecast results of offshore wind power

图8 海上油气田日前和日内负荷预测数据

Fig.8 Day-ahead and intraday forecast results of power load in offshore oil and gas field

图9 透平发电机组日前优化调度结果

Fig.9 Day-ahead optimal scheduling results of turbine generators

图10 电网电压日前优化调度结果

Fig.10 Day-ahead optimal scheduling results of voltage

图11 透平发电机组日内优化调度结果

Fig.11 Intraday optimal scheduling results of turbine generators

图12 电网电压日内优化调度结果

Fig.12 Intraday optimal scheduling results of voltage

图13 透平发电机组出力变化情况

Fig.13 Power variation of turbine generators

图14 储能出力变化情况

Fig.14 Power variation of energy storage system

图15 电网频率变化情况

Fig.15 Power system frequency variation

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计及风电接入的海上油气田能源系统分层调控

Hierarchical Control of Offshore Oil and Gas Platform Energy System Considering the Integration of Offshore Wind Power

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