Optimal Dispatch for Integrated Energy Microgrid Considering Start-up and Shutdown of Hydrogen Production

Bo, Yaolong; Xia, Yanghong; Zhou, Yongzhi; Yang, Pengcheng

doi:10.1109/ei252483.2021.9713608

Cited by 1 publication

(2 citation statements)

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“…Renewable energy generations such as photovoltaics and wind power have volatility and randomness. As clean energy, hydrogen energy can play a role in calming the fluctuation of renewable energy and improving the level of renewable energy consumption in the microgrid [2][3][4] . Therefore, the research of electricity-hydrogen coupled DC microgrids is an important direction to promote energy transformation.…”

Section: Introductionmentioning

confidence: 99%

“…The application of multi-core parallel computing in the transient simulation of the microgrid can greatly mobilize the running space and improve the simulation speed. In the application of parallel computing in microgrids, reference [8] studies a general model combining hydrogen production and fuel cells for a hydrogen-electric integrated energy system. An optimization algorithm based on a parallel computing mechanism is proposed, which shortens the optimization time to one-tenth of the traditional algorithm.…”

Section: Introductionmentioning

confidence: 99%

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Simulation Research of Electricity-Hydrogen Coupled DC Microgrid Based on Parallel Computing

Zhao³

et al. 2022

J. Phys.: Conf. Ser.

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Electricity-hydrogen coupled DC microgrid is of great significance for energy structure adjustment and efficient consumption of renewable energy. However, at present, such systems lack high-precision simulation support, and the transient simulation technology for large-scale microgrid systems is not perfect. In order to solve these problems, this paper form an electricity-hydrogen coupled DC microgrid simulation platform, and studies the function realization and the efficiency improvement of transient simulation. Firstly, the Euler algorithm is adopted to realize the transient simulation of the microgrid system for the functional requirements of the electricity-hydrogen coupled DC microgrid. Secondly, for different system sizes and computing platforms, an adaptive parallel computing optimal mode selection algorithm is proposed to improve the simulation efficiency. The experimental results show that the algorithm improves the computing efficiency of the large-scale electricity-hydrogen coupled DC microgrid system by about 40%.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%