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1. 南方电网能源发展研究院有限责任公司,广东省 广州市 510663
2. 智慧能源工程技术研究中心,华南理工大学电力学院,广东省 广州市 510640
3. 广东工业大学自动化学院,广东省 广州市 510006
Received:13 June 2019,
Revised:2019-08-19,
Published Online:13 November 2019,
Published:25 March 2020
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陈泽兴,林楷东,张勇军等.电-气互联系统建模与运行优化研究方法评述[J].电力系统自动化,2020,44(03):11-23.
CHEN Zexing,LIN Kaidong,ZHANG Yongjun,et al.A Review of Modeling and Optimal Operation of Integrated Electricity-Gas System[J].Automation of Electric Power Systems,2020,44(03):11-23.
陈泽兴,林楷东,张勇军等.电-气互联系统建模与运行优化研究方法评述[J].电力系统自动化,2020,44(03):11-23. DOI: 10.7500/AEPS20190613001.
CHEN Zexing,LIN Kaidong,ZHANG Yongjun,et al.A Review of Modeling and Optimal Operation of Integrated Electricity-Gas System[J].Automation of Electric Power Systems,2020,44(03):11-23. DOI: 10.7500/AEPS20190613001.
基于燃气轮机和电转气(P2G)双向耦合的电-气互联系统(IEGS)是实现高比例可再生能源消纳、提升终端能源利用效率的重要载体。首先,基于电力-天然气流传输特性的对比,阐述了IEGS的内涵及其优势。其次,介绍了IEGS中耦合新设备——P2G的技术原理和建模方法。进一步,围绕IEGS能流建模求解和优化运行调度2个维度,总结综述了相关技术的研究进展。关于优化运行调度的研究进展,主要从基础调度模型、计及系统随机性、计及能流差异性、计及运营管理机制、模型非线性处理方法等5个方面展开论述。最后
对未来IEGS建模和运行优化的研究进行了展望。
Integrated electricity-gas system (IEGS) based on bi-directional coupling of gas turbine and power to gas (P2G) is an important carrier to realize accommodation of high-proportion renewable energy and improve terminal energy utilization efficiency. Firstly
based on the comparison of transmission characteristics of power system and natural gas system
the connotation
characteristics and advantages of IEGS are described. Secondly
the technical principle and modeling method of P2G in IEGS are introduced. Furthermore
the research progress of relevant technology is emphatically summarized from two dimensions: solution of IEGS energy flow model and optimization of IEGS operation scheduling. In terms of research on optimal operation scheduling
it is discussed from five aspects
including basic scheduling model and consideration of system randomness
energy flow difference and market operation mechanism and non-linear processing method of model. Finally
the prospect of future research on IEGS modeling and operation optimization are proposed.
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