Energy Storage Capacity Optimization of Non-Grid-Connected Wind-Hydrogen Systems: From the Perspective of Hydrogen Production Features

Xinyu Zhang, Hua Li, Jikang Wang
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引用次数: 4

Abstract

This paper intends to improve the hydrogen production efficiency of the electrolysis cells, fully utilize wind energy, and ensure the reliability of power supply. For this purpose, the authors put forward a capacity optimization configuration for non-grid-connected wind-hydrogen hybrid energy storage system, in view of the features of hydrogen production efficiency. The working interval of the electrolytic cell was optimized by analyzing the said features. Considering the features of battery charge/discharge, equipment capacity and power, the authors formulated the energy management strategy applicable to six working conditions, established the quantitative multi-objective function of system cost and reliability, and solved the optimization model by the fast non-dominant sorting genetic algorithm (NSGA)-II. In this way, the optimal combination of energy storage capacity was determined. Next, the wind velocity data of a pastoral area in Inner Mongolia was measured, and analyzed in details. The analysis results show that the electrolytic cell always operates in the optimal working area, and the optimized wind-hydrogen system is economic and reliable in power supply. The research provides a reference for practical engineering applications.
非并网风氢系统储能容量优化:基于产氢特性的视角
本文旨在提高电解槽制氢效率,充分利用风能,保证供电的可靠性。为此,针对制氢效率的特点,提出了一种非并网风-氢混合储能系统的容量优化配置。通过对上述特点的分析,优化了电解槽的工作间隔。考虑电池充放电、设备容量和功率的特点,制定了适用于6种工况的能量管理策略,建立了系统成本和可靠性的定量多目标函数,并采用快速非优势排序遗传算法(NSGA -II)求解优化模型。从而确定了储能容量的最优组合。其次,对内蒙古某牧区的风速数据进行了实测,并进行了详细的分析。分析结果表明,电解槽始终运行在最优工作区域,优化后的风氢系统供电经济可靠。该研究为实际工程应用提供了参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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