| 引用本文: | 何良策,王 宇,卢志刚,王常平,蔡 瑶.面向多区域综合能源系统低碳运行的共享电-氢储能优化配置[J].电力系统保护与控制,2025,53(18):52-63.[点击复制] |
| HE Liangce,WANG Yu,LU Zhigang,WANG Changping,CAI Yao.Optimal allocation of shared electricity-hydrogen storage for low-carbon operation of multiple regional integrated energy systems[J].Power System Protection and Control,2025,53(18):52-63[点击复制] |
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| 摘要: |
| 为实现多个区域综合能源系统(regional integrated energy system, RIES)的风电消纳与低碳运行，提出了考虑季节性氢储能和碳排放惩罚的共享电-氢储能优化配置方法。首先，以共享电-氢储能和RIES作为主导者和跟随者，建立基于主从博弈的共享电-氢储能优化配置模型。然后，计算共享电-氢储能和区域综合能源系统的碳排放情况，设计融合碳税的碳排放惩罚价格，提出计及碳减排的共享电-氢储能优化配置模型。最后，将模型转换为易于求解的混合整数线性规划问题，并通过算例对提出模型的有效性进行验证。结果表明，所提模型能够在长、短时间尺度下应对风电的不平衡，减少流入RIES负荷的碳排放。 |
| 关键词: 共享电-氢储能 区域综合能源系统 季节性氢储能 风电消纳 碳排放惩罚 |
| DOI：10.19783/j.cnki.pspc.241614 |
| 投稿时间：2024-12-04修订日期：2025-04-25 |
| 基金项目:国家自然科学基金联合基金项目资助(U23A20333)；河北省高等学校科学技术研究项目资助(QN2023182) |
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| Optimal allocation of shared electricity-hydrogen storage for low-carbon operation of multiple regional integrated energy systems |
| HE Liangce1,2,WANG Yu1,LU Zhigang1,WANG Changping2,CAI Yao1 |
| (1. Hebei Key Laboratory of Power Electronics for Energy Conservation and Drive Control (Yanshan University),
Qinhuangdao 066004, China; 2. Bingtuan Xingxin Vocational and Technical College, Tiemenguan 841007, China) |
| Abstract: |
| To achieve wind power utilization and low-carbon operation in multiple regional integrated energy systems (RIESs), an optimal allocation method for shared electricity-hydrogen storage (SEHS) is proposed, considering seasonal hydrogen storage and carbon emission penalties. First, by treating SEHS and all RIESs as the master and slave respectively, a bi-level game-based optimal allocation model of SEHS is established. Then, the carbon emissions of both SEHS and RIESs are calculated, and a carbon emission penalty price incorporating carbon tax is designed. Based on this, an optimal allocation model of SEHS that accounts for carbon emission reduction is reformulated. Finally, the presented model is transformed into a tractable mixed-integer linear programming formulation, and its effectiveness is validated through numerical case studies. The simulation results demonstrate that the proposed model can effectively address wind power imbalance over both long- and short-term timescales, while reducing the carbon emissions associated with RIES loads. |
| Key words: shared electricity-hydrogen storage regional integrated energy system seasonal hydrogen storage wind power utilization carbon emission penalty |
