| 引用本文: | 杨冬锋,张雨润,姜 涛,张晓华.面向HCNG多能耦合系统灵活性提升的分布鲁棒低碳容量优化配置[J].电力系统保护与控制,2025,53(24):121-132.[点击复制] |
| YANG Dongfeng,ZHANG Yurun,JIANG Tao,ZHANG Xiaohua.Distributionally robust low-carbon capacity optimization for improving the flexibility of HCNG multi-energy coupling system[J].Power System Protection and Control,2025,53(24):121-132[点击复制] |
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| 摘要: |
| 为解决源荷两侧出力不确定性导致综合能源系统(integrated energy system, IES)灵活性不足的问题，构建了气-氢深度耦合的含混氢天然气综合能源系统(hydrogen enriched compressed natural gas, HCNG)，并提出一种考虑灵活性惩罚机制和阶梯碳交易机制的分布鲁棒容量优化配置策略。首先，基于混氢天然气特性，建立混氢天然气单元与燃气轮机、燃气锅炉、天然气管道协同优化的运行框架，以挖掘氢能利用的潜力。其次，为促进系统低碳化转型，在碳交易市场内构建以能源用户和碳运营商为主体的阶梯碳交易机制，以有效约束系统碳排放。最后，通过概率分布量化源荷不确定性，建立灵活性供需模型，并构建分布鲁棒容量优化配置模型。通过基于IEEE9节点电力系统、7节点天然气系统、6节点热力系统构成的综合能源系统设置不同场景进行对比，验证了该模型对综合能源系统低碳性、经济性和灵活性的影响。 |
| 关键词: 综合能源系统 混氢天然气 分布鲁棒 灵活性惩罚 阶梯碳交易 |
| DOI：10.19783/j.cnki.pspc.250140 |
| 投稿时间：2025-02-13修订日期：2025-04-06 |
| 基金项目:国家重点研发计划项目资助(2022YFB2404000) |
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| Distributionally robust low-carbon capacity optimization for improving the flexibility of HCNG multi-energy coupling system |
| YANG Dongfeng1,ZHANG Yurun1,JIANG Tao2,ZHANG Xiaohua3 |
| (1.?Key Laboratory of Modern Power System Simulation and Control and New Green Power Technology of the Ministry
of Education (Northeast University of Electric Power), Jilin 132012, China; 2. State Grid Xinjiang Power Transmission
and Transformation Co., Ltd., Urumqi 830000, China; 3. State Grid Jilin Yanbian Electric
Power Supply Company, Yanji 133000, China) |
| Abstract: |
| To address the issue of insufficient flexibility in integrated energy systems (IES) caused by output uncertainties on both supply and demand sides, this paper constructs a hydrogen-enriched compressed natural gas (HCNG)-based IES with deep gas-hydrogen coupling, and proposes a distributionally robust capacity optimization strategy considering a flexibility penalty mechanism and a tiered carbon trading mechanism. First, based on the characteristics of HCNG, a cooperative optimization framework for HCNG units, gas turbines, gas boilers, and natural gas pipelines is established to fully exploit hydrogen utilization potential. Second, to facilitate low-carbon system transition, a tiered carbon trading mechanism, featuring energy users and carbon operators as the main participants, is constructed within the carbon trading market to effectively constrain system carbon emissions. Finally, by quantifying source-load uncertainties using probability distributions, a flexibility supply-demand model is established, and a distributionally robust capacity optimization model is developed. Through scenario-based comparisons in an IES consisting of the IEEE 9-bus power system, a 7-node natural gas system, and a 6-node thermal system, the proposed model’s effectiveness in improving the low-carbon performance, economic efficiency, and flexibility of IES is validated. |
| Key words: integrated energy systems hydrogen-enriched natural gas distributionally robust flexibility penalties tiered carbon trading |
