arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2303.05971eess.SYcs.SY
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氨合成可再生电力系统规模优化:模型与求解方法

Optimal Sizing of Isolated Renewable Power Systems with Ammonia Synthesis: Model and Solution Approach

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

摘要:

孤立的可再生能源发电制氨(IRePtA)已被公认为是化工行业脱碳的一种有前途的方法。由于可再生电力系统的投资占总投资的80%以上,因此,对可再生能源发电系统进行规模优化对提高可再生能源发电系统的技术经济性具有重要意义。然而,多时间尺度的电力,氢气和氨储存,系统安全的最低电力供应以及可再生能源发电的多年不确定性导致规划困难。为了解决上述问题,IGDT-MILFP模型的建议。首先,平准化成本的氨(LCOA)直接制定为目标,呈现一个混合整数线性分式规划(MILFP)问题。利用信息缺口决策理论(IGDT)来处理可再生能源发电的多年不确定性。其次,结合Charnes-Cooper(C&C)变换和分支定界(B&B)方法,提出了有效地解决大规模IGDT-MILFP模型,给出了鲁棒性和机会规划结果。然后,马尔可夫链蒙特卡罗(MCMC)抽样为基础的后验分析,量化的长期性能。最后,在中国内蒙古的一个现实生活中的系统,进行了研究。结果表明,所提出的方法可以减少计算负担的数量级为解决一个大规模的MILFP问题。此外,建议IGDT-MILFP模型是必要的和准确的,以获得最佳的能力分配与最低的预期LCOA(3610 RMB/t)在长期运行的模拟。

英文摘要:

Isolated renewable power to ammonia (IRePtA) has been recognized as a promising way to decarbonize the chemical industry. Optimal sizing of the renewable power system is significant to improve the techno-economic of IRePtA since the investment of power sources exceeds 80\% of the total investment. However, multi-timescale electricity, hydrogen, and ammonia storages, minimum power supply for system safety, and the multi-year uncertainty of renewable generation lead to difficulties in planning. To address the issues above, an IGDT-MILFP model is proposed. First, the levelized cost of ammonia (LCOA) is directly formulated as the objective, rendering a mixed integer linear fractional programming (MILFP) problem. Information gap decision theory (IGDT) is utilized to handle the multi-year uncertainty of renewable generation. Second, a combined Charnes-Cooper (C&C) transformation and Branch-and-Bound (B&B) method is proposed to efficiently solve the large-scale IGDT-MILFP model, giving robust and opportunistic planning results. Then, Markov Chain Monte Carlo (MCMC) sampling-based posteriori analysis is leveraged to quantify the long-run performance. Finally, a real-life system in Inner Mongolia, China, is studied. The results indicate that the proposed methods could reduce the computational burden by orders of magnitude for solving a large-scale MILFP problem. Moreover, the proposed IGDT-MILFP model is necessary and accurate to obtain an optimal capacity allocation with the lowest expected LCOA (3610 RMB/t) in long-run simulations.

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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