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arXiv 2212.04754eess.SYcs.SY
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考虑合成氨系统有限灵活性的可再生能源的最优规模和定价

Optimal Sizing and Pricing of Renewable Power to Ammonia Systems Considering the Limited Flexibility of Ammonia Synthesis

Zhipeng Yu, Jin Lin, Feng Liu, Jiarong Li, Yuxuan Zhao, Yonghua Song, Yanhua Song, Xinzhen Zhang

摘要:

将可再生能源转化为氨已被公认为是在化工行业实现"绿色氢替代”的一条有前途的途径。然而,可再生能源制氨(RePtA)需要对设施进行必要的投资,以提供对可再生能源强烈波动性和氨合成有限灵活性的缓冲,这涉及三个主要利益相关者,即电力,氢气和氨。因此,RePtA的规模和定价在平衡投资者的利益需求方面发挥着核心作用。本文提出了一种RePtA系统规划的最佳规模和定价方法。首先,将合成氨功率(P2A)建模为柔性负荷,特别是考虑到合成氨的有限灵活性,这已经使用实际动态调节数据进行了验证。其次,建立了考虑外部交易和内部交易两种模式的多投资者经济模型。针对规划、运营和交易的强耦合问题,提出了两阶段分解的规模和定价方法,并利用信息缺口决策理论(IGDT)方法处理可再生能源发电的不确定性。最后,利用内蒙古某实际系统的实际数据对所提方法进行了验证。实验结果表明,该体系的产率为8.15%。

英文摘要:

Converting renewable energy into ammonia has been recognized as a promising way to realize ``green hydrogen substitution" in the chemical industry. However, renewable power to ammonia (RePtA) requires an essential investment in facilities to provide a buffer against the strong volatility of renewable energy and the limited flexibility of ammonia synthesis, which involves the three main stakeholders, namely, power, hydrogen, and ammonia. Therefore, the sizing and pricing of RePtA play a core role in balancing the interest demands of investors. This paper proposes an optimal sizing and pricing method for RePtA system planning. First, power to ammonia (P2A) is modeled as a flexible load, especially considering the limited flexibility of ammonia synthesis, which has been verified using real dynamic regulation data. Second, the multi-investor economic (MIE) model is established considering both external and internal trading modes. Then, a two-stage decomposed sizing and pricing method is proposed to solve the problem caused by the strong coupling of planning, operation, and trading, and information gap decision theory (IGDT) method is utilized to handle the uncertainty of renewable generation. Finally, real data from a real-life system in Inner Mongolia are utilized to verify the proposed approach. The results show that the system proposed has a yield of 8.15%.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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