含混合储能的微电网能量优化管理
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河北工业大学

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中图分类号:

TM743

基金项目:

河北省自然科学基金(E2018202282);天津市自然科学基金重点项目(19JCZDJC32100)


Optimal energy management of microgrid with hybrid energy storage
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Affiliation:

Hebei University of Technology

Fund Project:

the key project of Tianjin Natural Science Foundation [Project No. 19JCZDJC32100]; the Natural Science Foundation of Hebei Province of China [Project No. E2018202282]

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    摘要:

    为抑制微电网中新能源出力的波动并降低微电网的经济成本,通过引入混合储能设备来平抑新能源出力波动。构建了一种含混合储能的微电网能量管理模型,采用超级电容器和蓄电池组成混合储能设备,并设定风/光/混储/网/柴的依次供电顺序,采用Tent混沌映射、择优选择搜索空间和捕食位置以及Lévy飞行等改进策略对秃鹰搜索算法进行改进,提高算法的收敛速度和全局搜索能力,并运用于微电网综合成本优化求解。选取某地区四种典型日进行算例分析。结果表明:本文提出的微电网容量优化配置模型、混合储能设备、供能策略和改进BES算法能有效增强微电网平抑新能源出力波动的能力,降低微电网经济成本,并且改进的BES算法具备较强的收敛速度和求解能力。

    Abstract:

    In order to suppress fluctuations in the output of new energy sources in the microgrid and reduce the economic cost of the microgrid, the introduction of hybrid energy storage equipment has been adopted to stabilize the fluctuations in the output of new energy sources. A microgrid capacity optimization configuration model is constructed with hybrid energy storage, using super capacitors and batteries to form hybrid energy storage equipment, and setting the sequence of power supply of wind/light/mixed storage/grid/diesel. Tent chaotic mapping, optimal selection of search space and predator position, and Lévy flight are used to improve the bald eagle search algorithm to improve the convergence speed and global search capability of the algorithm, and apply it to the comprehensive cost optimization of microgrid. Four typical days in a certain area are selected for analysis. The results show that the microgrid capacity optimization configuration model, hybrid energy storage equipment, energy supply strategy and improved BES algorithm proposed in this paper can effectively enhance the microgrid’s ability to smooth the fluctuation of new energy output and reduce the economic cost of the microgrid, and the improved BES algorithm has strong convergence speed and solving ability.

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引用本文

张政林,张惠娟,孙文治,等. 含混合储能的微电网能量优化管理[J]. 科学技术与工程, , ():

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  • 收稿日期:2021-12-23
  • 最后修改日期:2022-03-29
  • 录用日期:2022-04-30
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