临近空间太阳能无人机能量调度策略

李新芳; 曾国宏; 陈天牧

doi:10.19912/j.0254-0096.tynxb.2021-1032

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太阳能学报 ›› 2023, Vol. 44 ›› Issue (2) : 288-297. DOI: 10.19912/j.0254-0096.tynxb.2021-1032

临近空间太阳能无人机能量调度策略

李新芳, 曾国宏, 陈天牧

作者信息 +

ENERGY SCHEDULING STRATEGY OF NEAR SPACE SOLAR POWERED VEHILCLE

Li Xinfang, Zeng Guohong, Chen Tianmu

Author information +

文章历史 +

摘要

针对临近空间太阳能无人机因表面太阳辐射不均匀及负荷不确定性导致的能源系统容量无法充分利用的问题,提出一种实时能量优化调度策略,旨在最小化每个光储模块在24 h周期末电量差值、太阳落山时刻最大限度地储存能量,通过构建调度模型和能量前移修正策略达到充分利用发电、储能设备装机容量的目的。利用Python软件对该模型及调度策略进行仿真验证,证实了该能量调度策略的合理性和可行性。

Abstract

Considering the problem that the capacity of the energy system cannot be fully utilized due to the uneven solar radiation on the surface of solar cells and the uncertainty of the load caused by the solar UAV near space, this paper proposes a real-time energy optimization scheduling strategy, which aims to minimize the difference in the battery power of each optical storage module at the end of the 24-hour period and maximize the storaged energy by the time of sun set. By constructing the scheduling model and energy forward correction strategy, the goal of fully utilizing the installed power generation and energy storage equipment capacity is achieved. Using Python software to do simulation, the rationality and feasibility of proposed model and scheduling strategy is verified.

导出引用

李新芳, 曾国宏, 陈天牧. 临近空间太阳能无人机能量调度策略[J]. 太阳能学报. 2023, 44(2): 288-297 https://doi.org/10.19912/j.0254-0096.tynxb.2021-1032

Li Xinfang, Zeng Guohong, Chen Tianmu. ENERGY SCHEDULING STRATEGY OF NEAR SPACE SOLAR POWERED VEHILCLE[J]. Acta Energiae Solaris Sinica. 2023, 44(2): 288-297 https://doi.org/10.19912/j.0254-0096.tynxb.2021-1032

中图分类号： TK513.5

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