| 引用本文: | 程 杉,卢渊涛,王 灿.考虑P2G-CCS-HFC协调运行的园区综合能源系统分布鲁棒优化调度[J].电力系统保护与控制,2025,53(10):87-101.[点击复制] |
| CHENG Shan,LU Yuantao,WANG Can.Distributed robust optimal scheduling for a regional integrated energy system considering coordinated operation of P2G-CCS-HFC[J].Power System Protection and Control,2025,53(10):87-101[点击复制] |
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| 摘要: |
| 为提高低碳园区综合能源系统(regional integrated energy system, RIES)的低碳性和可再生能源消纳率，提出一种考虑电转气(power-to-gas, P2G)、碳捕集装置(carbon capture and storage, CCS)和氢燃料电池(hydrogen fuel cell, HFC)协调运行的RIES低碳经济调度方法。首先，根据传统火电机组集中碳排放的特点，加入CCS打造更具灵活性的碳捕集电厂(carbon capture power plant, CCPP)。其次，在两阶段P2G中加入HFC，细化氢能使用，建立P2G-CCS-HFC整体模型，在氢能平衡约束条件下，分析不同设备决策对整体模型优化成本的影响。同时，在供能侧和需求侧分别引入绿证-碳交易和综合需求响应双重市场机制激励。最后，考虑风光不确定性，以风光历史数据为基础，构建考虑场景分析和数据驱动的、以最小化总成本为目标函数的RIES分布鲁棒调度模型。基于算例的仿真结果表明，该方法可有效降低碳排放水平，促进新能源消纳，为区域综合能源系统低碳经济调度等研究提供参考。 |
| 关键词: 碳捕集电厂 电转气 氢燃料电池 绿证碳交易 分布鲁棒优化 区域综合能源系统 |
| DOI：10.19783/j.cnki.pspc.240607 |
| 投稿时间：2024-05-16修订日期：2024-07-22 |
| 基金项目:国家自然科学基金项目资助(52107108) |
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| Distributed robust optimal scheduling for a regional integrated energy system considering coordinated operation of P2G-CCS-HFC |
| CHENG Shan,LU Yuantao,WANG Can |
| (College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China) |
| Abstract: |
| To enhance the low-carbon characteristic and renewable energy utilization rate of regional integrated energy systems (RIES), a low-carbon economic scheduling method for RIES considering the coordinated operation of power-to-gas (P2G), carbon capture and storage (CCS), and hydrogen fuel cells (HFC) is proposed. First, based on the concentrated carbon emissions of traditional thermal power units, CCS is integrated to create a more flexible carbon capture power plant (CCPP). Second, HFC is incorporated into the two-stage P2G process to refine the utilization of hydrogen energy. A comprehensive P2G-CCS-HFC model is established, and under the constraints of hydrogen energy balance, the impact of different equipment decisions on the overall optimization cost is analyzed. Simultaneously, dual market mechanism incentives of green certificate-carbon trading and comprehensive demand response are introduced on the energy supply and demand sides, respectively. Finally, considering the uncertainty of wind and solar power, and using historical data, a scenario-based and data-driven distributed robust scheduling model is constructed with the objective of minimizing the total cost. Simulation results based on case studies show that the proposed method effectively reduces carbon emissions, promotes renewable energy consumption, and offers a reference for low-carbon economic scheduling in RIES. |
| Key words: carbon capture power plant power-to-gas hydrogen fuel cell green certificate-carbon trading distributed robust optimization regional integrated energy system |
