4.7 Article

Optimization of a standalone photovoltaic-based microgrid with electrical and hydrogen loads

期刊

ENERGY
卷 235, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2021.121218

关键词

Microgrid optimization; Solar tracking system; Particle swarm optimization; Hybrid energy storage; Distributed energy system

资金

  1. Universiti Teknologi Malaysia (UTM) [Q.J130000.3051.02M03, Q.J130000.2851.00L51, Q.J130000.3551.06G47]

向作者/读者索取更多资源

This study investigates the design and operation optimization framework for integrating electricity and hydrogen supply systems in a standalone microgrid, proposing two energy management strategies. A case study demonstrates the optimal microgrid design and sensitivity analysis results, showing potential for significant cost reduction by targeting only 95% of loads.
Despite the ability of renewables to decarbonize energy use, their intermittent nature causes inconsistent energy generation, thus energy storage is required to tackle the supply-demand mismatch. While the use of hybrid battery-hydrogen energy storage for microgrids has been extensively studied, there is a lack of study on the integration of electricity and hydrogen supply systems. In other words, the concurrent targeting of hydrogen and electrical loads in a microgrid with hybrid battery-hydrogen storage is lacking. This study presents an optimization framework for the design and operation of a standalone microgrid with electrical and hydrogen loads. Two energy management strategies have been proposed and the optimization model is solved using particle swarm optimization algorithm. The proposed methodology was demonstrated through a case study and the levelized cost of energy ranges from 0.4551 USD/kWh to 0.4572 USD/kWh for the base case scenario. The optimal microgrid design in base case scenario is found to have a high value of potential energy waste possibility, indicating that the solar panel is oversized to reduce energy storage requirement. Sensitivity analysis results showed that a significant cost reduction can be achieved when only 95% of loads are targeted. (C) 2021 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据