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含混合储能的综合能源系统协同优化与低碳策略OA

Collaborative Optimization and Low-carbon Strategies for Integrated Energy Systems with Hybrid Energy Storage

中文摘要英文摘要

多能耦合和高效转化可提高多种能源的利用效率.文中提出了一种包含可逆固体氧化物电池(RSOC)、混合储能系统和冷热电三联供(CCHP)的综合能源系统.首先,系统引入电、热、冷储能作为短期储能单元,并利用RSOC和CCHP配合氢/甲烷储罐实现长期储能.其次,分析了不同季节的可再生能源出力和负荷特性,优化了储能系统运行策略.然后,针对5种典型场景开展了技术经济性分析,探讨了混合储能系统、CCHP和RSOC运行的影响.最后,研究了碳交易机制参数对储能规划容量和系统成本的影响.仿真结果表明,所提模型具有较高的可再生能源装机容量和较低的弃能率,兼具低碳性和经济性.

Multi-energy coupling and efficient conversion can improve the utilization efficiency of various energy sources.This paper proposes an integrated energy system consisting of a reversible solid oxide cell(RSOC),a hybrid energy storage system,and combined cooling,heating and power(CCHP).Firstly,electric,heat and cold energy storage are introduced into the system as short-term energy storage units,and RSOC and CCHP are combined with hydrogen/methane storage tanks to realize long-term energy storage.Secondly,the output characteristics of renewable energy and load characteristics in different seasons are analyzed,and the operation strategy of the energy storage system is optimized.Then,technical and economic analysis is carried out for five typical scenarios,and the operation influences of the hybrid energy storage system,CCHP,and RSOC are discussed.Finally,the impact of carbon trading mechanism parameters on the planned capacity of energy storage and system cost is investigated.The simulation results show that the proposed model achieves high installed capacity of renewable energy and a lower energy abandonment rate,with both low-carbon performance and economic efficiency.

李儒欢;周峻;吴锴;高原;付磊;王俊波

西安交通大学电气工程学院,陕西省西安市 710049西安交通大学电气工程学院,陕西省西安市 710049西安交通大学电气工程学院,陕西省西安市 710049西安交通大学电气工程学院,陕西省西安市 710049西安交通大学电气工程学院,陕西省西安市 710049广东电网有限责任公司佛山供电局,广东省佛山市 528000

储能可逆固体氧化物电池冷热电三联供优化配置碳交易

energy storagereversible solid oxide cell(RSOC)combined cooling,heating and power(CCHP)optimal allocationcarbon trading

《电力系统自动化》 2026 (12)

44-54,11

国家自然科学基金资助项目(52377212)陕西省重点研发计划资助项目(2023-YBGY-057). This work is supported by National Natural Science Foundation of China(No.52377212)and Key R&D Program of Shaanxi Province(No.2023-YBGY-057).

10.7500/AEPS20250626005

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