摘要
In response to escalating global efforts to combat climate change, numerous international policies and initiatives have emerged, creating new development opportunities for the energy sector. The combination of Carbon Capture, Utilization, and Storage (CCUS) and Smart Grid technologies provides an unprecedented opportunity for the construction of green power plants and the development of hydrogen storage technologies. Conventional power plants face many challenges, including the lack of flexibility in power load adjustment and high CO2 emissions, as well as the high investment cost due to the separate planning of charging stations and hydrogen production facilities. This paper proposes a low-carbon economic dispatch model for coupled hydrogen production photovoltaic storage charging stations considering CCUS and demand response in a smart grid environment. First, a carbon capture power plant model is constructed using CCUS technology to reduce the carbon dioxide emissions generated in the power generation process in order to achieve the low-carbon goal. Next, this paper constructs a hydrogen production model with water electrolysis technology as the core and an intelligent scheduling system, which can automatically allocate power according to real-time electricity price and other factors with the support of smart grid. In addition, the model comprehensively considers a variety of cost and profit factors, including hydrogen manufacturing technology and equipment cost, power cost, carbon capture cost, carbon sequestration cost, carbon transportation cost, carbon profitability, power generation profitability, hydrogen storage cost, etc., and constructs a low-carbon economic scheduling decision-making model with the goal of maximizing the total profit of charging stations. The case study verifies the effectiveness of the model in improving the economic profit of charging stations, ensuring grid stability, reducing CO2 emissions, and lowering the cost of hydrogen storage.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings of the 14th International Conference on Computer Engineering and Networks - Volume I |
| 编辑 | Guangqiang Yin, Xiaodong Liu, Jian Su, Yangzhao Yang |
| 出版商 | Springer Science and Business Media Deutschland GmbH |
| 页 | 302-313 |
| 页数 | 12 |
| ISBN(印刷版) | 9789819649624 |
| DOI | |
| 出版状态 | 已出版 - 2025 |
| 已对外发布 | 是 |
| 活动 | 14th International Conference on Computer Engineering and Networks, CENet 2024 - Kashi, 中国 期限: 18 10月 2024 → 21 10月 2024 |
丛书
| 姓名 | Lecture Notes in Electrical Engineering |
|---|---|
| 卷 | 1384 LNEE |
| ISSN(印刷版) | 1876-1100 |
| ISSN(电子版) | 1876-1119 |
会议
| 会议 | 14th International Conference on Computer Engineering and Networks, CENet 2024 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Kashi |
| 时期 | 18/10/24 → 21/10/24 |
联合国可持续发展目标
此成果有助于实现下列可持续发展目标:
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可持续发展目标 7 经济适用的清洁能源
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可持续发展目标 13 气候行动
学术指纹
探究 'A Low-Carbon Economic Dispatch Model for Green Charging Stations Considering Demand Response, Hydrogen Generation and CCUS' 的科研主题。它们共同构成独一无二的学术指纹。引用此
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