综合智慧能源 ›› 2026, Vol. 48 ›› Issue (5): 1-9.doi: 10.3969/j.issn.2097-0706.2026.05.001

• 储能技术 •    下一篇

抽油机井群生产井场的风光储容量配置优化

景霖茹1(), 檀朝东1,*(), 陈培堯2, 冯钢3, 汪俊1, 刘斌1   

  1. 1 中国石油大学(北京) 人工智能学院北京 102249
    2 中国石油长庆油田分公司油气工艺研究院西安 710016
    3 西安中控天地科技开发有限公司西安 710016
  • 收稿日期:2024-08-12 修回日期:2024-10-28 出版日期:2025-04-25
  • 通讯作者: *檀朝东(1968),男,教授,博士生导师,博士,从事智能油气举升方面研究,tanchaodong@cup.edu.cn
  • 作者简介:景霖茹(2001),女,硕士生,从事电力系统容量配置方面的研究,2023216064@student.cup.edu.cn
  • 基金资助:
    国家自然科学基金项目(51974327)

Capacity configuration optimization of wind-solar-storage systems for oil well groups at drilling sites

JING Linru1(), TAN Chaodong1,*(), CHEN Peiyao2, FENG Gang3, WANG Jun1, LIU Bin1   

  1. 1 Artificial Intelligence AcademyChina University of Petroleum (Beijing)Beijing 102249, China
    2 Research Institute of Oil and Gas TechnologyCNPC Changqing Oilfield CompanyXi'an 710016, China
    3 Xi'an Supcon World Technology Development Company LimitedXi'an 710016, China
  • Received:2024-08-12 Revised:2024-10-28 Published:2025-04-25
  • Supported by:
    National Natural Science Foundation of China(51974327)

摘要:

针对风光发电和抽油机井场用电不确定性造成的电量供需不平衡和新能源消纳率低下的问题,开展了抽油机井群风光储多能互补系统的容量配置优化模型研究。建立了风机光出力、光伏出力、蓄电池充放电模型和抽油机井群生产用能模型。以总投资成本为目标函数,以新能源消纳率为约束条件,建立了风光储容量配置优化模型和求解算法;并以某井场为例,设计了抽油机井群生产井场的风光储容量配置方案。研究及实例分析表明:提出的容量配置优化模型和启发性算法可以实现抽油机井群场多能微网中的各能源的容量配置优化,能够在考虑系统经济性的基础上,有效提高井场上的新能源消纳率,消纳率可达86.15%,且对新能源的出力和周期性用能的波动具有较好的应用效果。

关键词: 抽油机井群, 风光储系统, 配置优化, 启发性算法, 消纳率, 新能源

Abstract:

To address the power supply-demand imbalances and low renewable energy consumption rates caused by uncertainties in wind and solar power and power consumption of oil pump wells, an optimized capacity configuration model for the wind-solar-storage multi-energy system for oil well groups was developed. Models for wind turbine output, photovoltaic panel output, battery charging and discharging power, and power consumption of oil wells were established. Taking the total investment cost as the objective function and the renewable energy consumption rate as a constraint, an optimized model for wind-solar-storage system capacity configuration and corresponding algorithms were proposed. Using a specific well site as an example, a capacity configuration scheme for production sites for the wind-solar-storage system of oil well groups was designed. The research and case analysis showed that the proposed optimized capacity configuration model and algorithms realized optimal capacity configuration of various sources in the multi-energy system of oil pump well groups. While considering the economic efficiency, the model significantly improved the renewable energy consumption rate at the well site to 86.15%. Additionally, the scheme effectively mitigated fluctuations in renewable energy output and periodic energy consumption, showing substantial practical application benefits.

Key words: oil well group, wind-solar-storage system, configuration optimization, heuristic algorithm, consumption rate, renewable energy

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