Abstract
In order to solve the problems of the remote location of frontier sentries, complex environment, large energy demand, and high cost of access to the electricity network, the complementary nature of wind/photovoltaic resources, as well as the high energy density and green and clean characteristics of hydrogen energy were used to establish a wind/photovoltaic hydrogen production system with wind and solar energy as the main power generation energy. In addition, hydrogen energy was selected as the energy storage unit of the system to meet the demand for energy diversity of frontier sentries and improve the sentries eability to obtain energy from the surrounding environment. Firstly, the mathematical model of each subsystem of the wind/photovoltaic hydrogen production system was established, and the system construction configuration was optimized to reduce the system cost, improve the utilization rate of renewable energy, and increase hydrogen energy production. The rated power of each component of the system was chosen as the design variable, and the meteorological data of specific regions was used as input. The non-dominated sorting genetic algorithm-Ⅲ (NSGA-Ⅲ) was applied to solve the system, and decision-making was performed on the Pareto solution set obtained by optimization.The visualization of the multi-dimensional Pareto front was realized through the drawing of level diagrams, and the optimal configuration scheme was compared with the unoptimized configuration scheme, the energy utilization rate and configuration cost can be greatly improved while ensuring the reliability of power supply.
| Translated title of the contribution | Configuration optimization of wind/photovoltaic hydrogen production system at frontier sentries |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 3032-3041 |
| Number of pages | 10 |
| Journal | Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics |
| Volume | 50 |
| Issue number | 10 |
| DOIs | |
| State | Published - Oct 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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