Real-time Optimal Operation of Microgrid with Power-to-hydrogen

Zhiyao Zhong, Danji Huang, Kewei Hu, X. Ai, Jiakun Fang
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引用次数: 1

Abstract

Hydrogen plays an important role in the decarbonization of the future energy system. Power-to-hydrogen (PtH) is considered an essential connection between electric power system and hydrogen energy system. However, there are few works on the real-time operation of the above two systems. This paper proposes a real-time optimization operation model for the microgrid with the power-to-hydrogen device. In the model, hydrogen is produced by PtH device and stored in the storage tank, which then powers fuel cell electric vehicles. Model predictive control (MPC) and myopic policy are adopted to solve the optimization problem. Finally, several cases are designed to indicate the effect of PtH device and the performance of different algorithms. Results show that in the microgrid with hydrogen demand, PtH device can improve the operation economy and reduce the operational cost. Besides, MPC performs better than myopic policy in real-time optimization.
电改氢微电网的实时优化运行
氢在未来能源体系的脱碳中扮演着重要的角色。电力制氢(PtH)是连接电力系统和氢能系统的重要环节。然而,关于这两个系统的实时运行的研究却很少。提出了一种带电制氢装置的微电网实时优化运行模型。在该模型中,氢气由PtH装置产生并储存在储罐中,然后为燃料电池电动汽车提供动力。采用模型预测控制(MPC)和近视策略来解决优化问题。最后,设计了几个实例来说明PtH器件的影响以及不同算法的性能。结果表明,在有氢需求的微电网中,PtH装置可以提高运行经济性,降低运行成本。此外,MPC策略在实时优化方面优于近视策略。
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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