Low-carbon power system operation with disperse carbon capture-transportation-utilization chain

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Zhenzi Song, Xiuli Wang, Tianyang Zhao, Mohammad Reza Hesamzadeh, Tao Qian, Jing Huang, Xin Li
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Abstract

The carbon capture-transportation-utilization (C-CTU) chain strengthens the coupling between terminal energy consumption and renewable energy resources (RES), achieving carbon emission reduction in power generation sectors. However, the dynamic operation of the C-CTU chain and the uncertainties induced by RES output pose new challenges for the low-carbon operation. To address above challenges, the nonlinear dynamic operation model of C-CTU chain is first proposed in this study. It is further incorporated into the day-ahead operation scheme of the electricity-carbon integrated system considering the stochastic nature of wind power. This scheme is treated as a two-stage stochastic integer programming (TS-SIP) problem with a mixed-integer nonlinear recourse. By means of the polyhedral envelope-based linearization method, this recourse is reformulated into its linear counterpart. To further improve the computational performance of classical decomposition algorithms, a novel Benders decomposition framework with hybrid cutting plane strategies is proposed to obtain better feasible solutions within a limited time. Simulations are conducted on two power system test cases with the C-CTU chain. Numerical results indicate that the engagement of C-CTU chain promotes the low-carbon economic operation of the power system. Also, the proposed decomposition algorithm shows a superior solution capability to handle large-scale TS-SIP than state-of-the-art commercial solvers.

Abstract Image

利用分散的碳捕集-运输-利用链实现低碳电力系统运行
碳捕集-输送-利用(C-CTU)链加强了终端能源消费与可再生能源(RES)之间的耦合,实现了发电领域的碳减排。然而,C-CTU 链的动态运行和可再生能源输出的不确定性对低碳运行提出了新的挑战。针对上述挑战,本研究首先提出了 C-CTU 链的非线性动态运行模型。考虑到风电的随机性,该模型被进一步纳入电力-碳综合系统的日前运行方案。该方案被视为具有混合整数非线性求助的两阶段随机整数编程(TS-SIP)问题。通过基于多面体包络的线性化方法,该求助被重新表述为线性对应问题。为了进一步提高经典分解算法的计算性能,我们提出了一种具有混合切割平面策略的新型本德斯分解框架,以便在有限的时间内获得更好的可行解。我们利用 C-CTU 链在两个电力系统测试案例中进行了仿真。数值结果表明,C-CTU 链的参与促进了电力系统的低碳经济运行。此外,与最先进的商业求解器相比,所提出的分解算法在处理大规模 TS-SIP 方面显示出更优越的求解能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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