引用本文: | 孙惠娟,胡紫平,彭春华,付学鹏,刘金祥,娄钰杰.含氢综合能源系统多目标最优折中分布鲁棒低碳调度[J].电力自动化设备,2025,45(4):10-18,36 |
| SUN Huijuan,HU Ziping,PENG Chunhua,FU Xuepeng,LIU Jinxiang,LOU Yujie.Multi-objective optimal compromise distributionally robust low-carbon scheduling of hydrogen-containing integrated energy system[J].Electric Power Automation Equipment,2025,45(4):10-18,36 |
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摘要: |
针对含氢综合能源系统,提出碳捕集和氢能综合利用的联合运行模式,以提升可再生能源消纳率和系统低碳性。为了应对可再生能源出力的间歇性与波动性对系统调度的影响,基于非精确概率理论构建机会约束分布鲁棒度模型;基于多目标决策理论和逼近理想解排序技术构造综合考虑系统调度的经济性、低碳性和鲁棒度的多目标最优折中函数,从而建立含氢综合能源系统多目标最优折中分布鲁棒低碳调度模型,可快速准确地获得兼具经济性、低碳性和鲁棒性的含氢综合能源系统优化调度方案。通过算例分析验证了所提方法的有效性和优越性。 |
关键词: 综合能源系统 氢能综合利用 低碳调度 分布鲁棒 多目标最优折中优化 |
DOI:10.16081/j.epae.202406003 |
分类号:TM761 |
基金项目:国家自然科学基金资助项目(52267007,52167009);江西省自然科学基金资助项目(20242BAB26070) |
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Multi-objective optimal compromise distributionally robust low-carbon scheduling of hydrogen-containing integrated energy system |
SUN Huijuan, HU Ziping, PENG Chunhua, FU Xuepeng, LIU Jinxiang, LOU Yujie
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School of Electrical & Automation Engineering, East China Jiaotong University, Nanchang 330013, China
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Abstract: |
Aiming at the hydrogen-containing integrated energy system, a joint operation mode of carbon capture and hydrogen energy comprehensive utilization is proposed to improve the renewable energy consumption rate and system low-carbon. In order to cope with the influence of intermittency and volatility of renewable energy output on system scheduling, a distribution robustness model of opportunity constraint is constructed based on the imprecise probability theory. Based on the multi-objective decision theory and technique for order preference by similarity to ideal solution, a multi-objective optimal compromise function is constructed comprehensively considering the economy, low-carbon and robustness of system scheduling, thus a multi-objective optimal compromise distribution robust low-carbon scheduling model is built for hydrogen-containing integrated energy system, which can quickly and accurately obtain the optimal schedu-ling scheme of the hydrogen-containing integrated energy system taking into account the economy, low-carbon and robustness. The effectiveness and superiority of the proposed method are verified by the example analysis. |
Key words: integrated energy system hydrogen energy comprehensive utilization low-carbon scheduling distributionally robust multi-objective optimal compromise optimization |