随着全球能源结构的深刻变革和“双碳”目标的提出,压缩空气储能(compressed air energy storage,CAES)作为一种清洁、高效、大规模的储能技术,成为促进可再生能源并网消纳和构建新型电力系统的关键支撑,受到了广泛关注。本工作通过近...随着全球能源结构的深刻变革和“双碳”目标的提出,压缩空气储能(compressed air energy storage,CAES)作为一种清洁、高效、大规模的储能技术,成为促进可再生能源并网消纳和构建新型电力系统的关键支撑,受到了广泛关注。本工作通过近期相关论文的调研,系统回顾了CAES技术的发展背景、需求、历程及建设现状,详细剖析了CAES技术的工作原理、技术分类及储气方式,综述了其在电源侧、电网侧和用户侧的多场景应用,并探讨了CAES技术的挑战和瓶颈。分析表明,CAES技术在电源侧、电网侧、用户侧均发挥着重要作用,但在效率、成本、环境影响和市场化收益模式方面仍面临挑战,通过技术创新(如高效核心设备研发、智能化调度系统引入)、模式优化(如虚拟电厂整合、共享储能模式推广)以及生态协同与国际合作(如行业标准制定、技术交流融合),CAES技术有望在未来能源转型中发挥更大作用。进一步展望了CAES技术的未来发展方向,包括高温储热材料的国产化、多技术融合、政策支持完善以及技术标准国际化,为CAES技术的规模化发展和能源行业的绿色转型提供参考,助力能源安全与“双碳”目标实现。展开更多
Similarity measure design for discrete data group was proposed. Similarity measure design for continuous membership function was also carried out. Proposed similarity measures were designed based on fuzzy number and d...Similarity measure design for discrete data group was proposed. Similarity measure design for continuous membership function was also carried out. Proposed similarity measures were designed based on fuzzy number and distance measure, and were proved. To calculate the degree of similarity of discrete data, relative degree between data and total distribution was obtained. Discrete data similarity measure was completed with combination of mentioned relative degrees. Power interconnected system with multi characteristics was considered to apply discrete similarity measure. Naturally, similarity measure was extended to multi-dimensional similarity measure case, and applied to bus clustering problem.展开更多
文摘随着全球能源结构的深刻变革和“双碳”目标的提出,压缩空气储能(compressed air energy storage,CAES)作为一种清洁、高效、大规模的储能技术,成为促进可再生能源并网消纳和构建新型电力系统的关键支撑,受到了广泛关注。本工作通过近期相关论文的调研,系统回顾了CAES技术的发展背景、需求、历程及建设现状,详细剖析了CAES技术的工作原理、技术分类及储气方式,综述了其在电源侧、电网侧和用户侧的多场景应用,并探讨了CAES技术的挑战和瓶颈。分析表明,CAES技术在电源侧、电网侧、用户侧均发挥着重要作用,但在效率、成本、环境影响和市场化收益模式方面仍面临挑战,通过技术创新(如高效核心设备研发、智能化调度系统引入)、模式优化(如虚拟电厂整合、共享储能模式推广)以及生态协同与国际合作(如行业标准制定、技术交流融合),CAES技术有望在未来能源转型中发挥更大作用。进一步展望了CAES技术的未来发展方向,包括高温储热材料的国产化、多技术融合、政策支持完善以及技术标准国际化,为CAES技术的规模化发展和能源行业的绿色转型提供参考,助力能源安全与“双碳”目标实现。
基金Project(2010-0020163) supported by Key Research Institute Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology, Korea
文摘Similarity measure design for discrete data group was proposed. Similarity measure design for continuous membership function was also carried out. Proposed similarity measures were designed based on fuzzy number and distance measure, and were proved. To calculate the degree of similarity of discrete data, relative degree between data and total distribution was obtained. Discrete data similarity measure was completed with combination of mentioned relative degrees. Power interconnected system with multi characteristics was considered to apply discrete similarity measure. Naturally, similarity measure was extended to multi-dimensional similarity measure case, and applied to bus clustering problem.
