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抽油机井群生产井场的风光储容量配置优化

景霖茹 檀朝东 陈培堯 冯钢 汪俊 刘斌

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

抽油机井群生产井场的风光储容量配置优化

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

景霖茹 1檀朝东 1陈培堯 2冯钢 3汪俊 1刘斌1

作者信息

  • 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
  • 折叠

摘要

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.

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

Key words

oil well group/wind-solar-storage system/configuration optimization/heuristic algorithm/consumption rate/renewable energy

分类

能源科技

引用本文复制引用

景霖茹,檀朝东,陈培堯,冯钢,汪俊,刘斌..抽油机井群生产井场的风光储容量配置优化[J].综合智慧能源,2026,48(5):1-9,9.

基金项目

国家自然科学基金项目(51974327) National Natural Science Foundation of China(51974327) (51974327)

综合智慧能源

2097-0706

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