Research on Modeling Method of P2H for Power Grid Dispatch

Hydrogen energy, as a new zero carbon energy source, has the characteristics of environmental safety, high energy density, high conversion efficiency, abundant reserves, and wide applications. China is a major hydrogen producing country, and converting new energy into hydrogen energy will also be an important way for China's future consumption of new energy. Faced with the small capacity and large quantity of single tank hydrogen production, which leads to numerous integer decision variables, this paper proposes three modeling methods: fine modeling, simple aggregation modeling, and algorithm aggregation modeling. Through simulation analysis, it is found that the simple aggregation model considering two states can meet the power grid scheduling needs at the large grid level.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10991568
Primary Topic
Power Systems and Technologies
Type
article
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Research on Modeling Method of P2H for Power Grid Dispatch

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Power Systems and Technologies
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Research on Modeling Method of P2H for Power Grid Dispatch

Qiu Xia, Jing Zhou, Xiaorui Guo, Yuhong Zhao, Jian Geng, Jinzhuang Lv
article en

Abstract

Hydrogen energy, as a new zero carbon energy source, has the characteristics of environmental safety, high energy density, high conversion efficiency, abundant reserves, and wide applications. China is a major hydrogen producing country, and converting new energy into hydrogen energy will also be an important way for China's future consumption of new energy. Faced with the small capacity and large quantity of single tank hydrogen production, which leads to numerous integer decision variables, this paper proposes three modeling methods: fine modeling, simple aggregation modeling, and algorithm aggregation modeling. Through simulation analysis, it is found that the simple aggregation model considering two states can meet the power grid scheduling needs at the large grid level.

Xi'an Jiaotong University (CN)
Affordable and clean energy
Openalex Percentile: Top 72%
Power Systems and Technologies
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