| 融合极限场景辨别算法的含碳捕集综合能源系统鲁棒调度模型研究 |
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| 引用本文： | 姜明军,黎启明,赵苍禄,王毅斌.融合极限场景辨别算法的含碳捕集综合能源系统鲁棒调度模型研究[J].陕西电力,2023,0(3):17-24. |
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| 作者姓名： | 姜明军 黎启明 赵苍禄 王毅斌 |
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| 作者单位： | （1.国网甘肃省电力公司，甘肃兰州 730030；2.兰州交通大学自动化与电气工程学院，甘肃兰州 730070） |
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| 摘 要： | 双碳背景下对能源的互补利用与低碳化运行提出了新的要求。提出了计及电转气及碳捕集的综合能源系统协调调度模型，构建了碳捕集电厂-电转气协同优化框架，并在阶梯式碳交易机制下对系统碳排放进行引导。针对自适应鲁棒模型求解困难、化简繁琐等问题，采用典型场景描述不确定性，并引入辅助变量代替最恶劣场景运行成本，实现内层模型的解耦替换。在此基础上，进一步提出了融合极限场景辨别的迭代算法以提高模型的求解效率。最后，以某综合能源系统为例验证了所构模型以及所提算法的有效性。
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| 关 键 词： | 综合能源系统 碳捕集 电转气 自适应鲁棒模型 极限场景辨别 |
Robust Scheduling Model of Integrated Energy System with Carbon Capture Integrating Extreme Scenario Discrimination Algorithm |
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| JIANG Mingjun,LI Qiming,ZHAO Canglu,WANG Yibin.Robust Scheduling Model of Integrated Energy System with Carbon Capture Integrating Extreme Scenario Discrimination Algorithm[J].Shanxi Electric Power,2023,0(3):17-24. |
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| Authors: | JIANG Mingjun LI Qiming ZHAO Canglu WANG Yibin |
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| Affiliation: | （1. State Grid Gansu Electric Power Company， Ltd.， Lanzhou 730030，China； 2. School of Automation and Electrical Engineering， Lanzhou Jiaotong University， Lanzhou 730070， China） |
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| Abstract: | Under carbon peak and neutrality goals， new requirements are put forward for the complementary utilization of energy and low-carbon operation. Therefore， the paper proposes the coordinated scheduling model of integrated energy system considering power to gas and carbon capture， establishes a collaborative optimization framework for carbon capture power plant and the power to gas， and makes the optimization of the carbon emissions of the system under a stepped carbon trading mechanism. Targeting the problems of adaptive robust model such as the solving difficulty and simplifying the complexity， the typical scenario is used to describe the uncertainty，and the auxiliary variables are introduced to replace the operating cost of the worst scenario， so as to realize the decoupling and replacement of the inner model. On this basis，an iterative algorithm integrating extreme scenario discrimination is proposed to improve the efficiency of solving the model. Finally，an integrated energy system is taken as an example to verify the effectiveness of the proposed model and algorithm. |
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| Keywords: | integrated energy system carbon capture power to gas adaptive robust model extreme scenario discrimination |
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