吉林大学学报(信息科学版) ›› 2026, Vol. 44 ›› Issue (1): 43-51.

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离网型风光氢储微电网容量优化配置

任 爽, 何明晨, 吕鑫康, 郭钰婷   

  1. 东北石油大学 电气信息工程学院, 黑龙江 大庆 163318
  • 收稿日期:2024-12-16 出版日期:2026-01-31 发布日期:2026-02-02
  • 作者简介:任爽(1979— ), 女, 吉林榆树人, 东北石油大学副教授, 硕士生导师, 主要从事电力系统及其自动化研究, ( Tel)86- 13945968670(E-mail)rensh-2009@ 163. com
  • 基金资助:
    东北石油大学科研基金资助项目(2019YDL-10) 

Capacity Optimization Configuration of off Grid Wind Solar Hydrogen Storage Microgrid

REN Shuang, HE Mingchen, Lǚ Xinkang, GUO Yuting   

  1. College of Electrical and Information Engineering, Northeast Petroleum University, Daqing 163318, China
  • Received:2024-12-16 Online:2026-01-31 Published:2026-02-02

摘要: 为同时满足降低含风光氢储微电网的综合成本、 提升新能源的消纳率和源荷利用率的多目标要求, 基于 风光氢储微电网的出力模型, 以经济型、 新能源消纳率、 源荷利用率为优化目标, 建立了含风光氢储微电网的 多目标优化模型, 提出了一种多策略改进的蜜獾优化算法(HBA: Honey Badger Algorithm)。 基于西北某地微电 网实际数据, 在离网运行状态下, 对所提模型进行实例验证。 结果表明, 改进的蜜獾算法在求解模型时, 拥有 更强的收敛性和更快的收敛速度。 同时, 多目标模型能求出 36 种不同解, 相对单目标只能求出一种解而言, 在实际应用中可以提供更多选择性。

关键词: 风光氢储微电网, 容量配置, pareto 机制, 蜜獾优化算法, 黄金正弦策略

Abstract: To simultaneously meet the multi-objective requirements of reducing the comprehensive cost of a microgrid integrating wind, solar, hydrogen, and storage, improving the renewable energy consumption rate, and enhancing the utilization rate of sources and loads, a multi-objective optimization model is established for microgrid based on its output model, with economy, renewable energy consumption rate, and source-load utilization rate as optimization objectives. A multi-strategy improved HBA ( Honey Badger Algorithm ) is proposed. Finally, Using real off-grid data from Northwest China tests are conducted, and results show the improved HBA converges are faster and more stable. Unlike single-objective approaches yielding one solution, this model provides 36 Pareto-optimal options for flexible decision-making.

Key words: wind solar hydrogen storage microgrid, capacity configuration, pareto mechanism, honey badger optimization algorithm, golden sine strategy

中图分类号: 

  • TP18