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河海大学能源与电气学院,江苏省南京市 211100
Received:09 June 2021,
Revised:2021-11-05,
Published Online:04 January 2022,
Published:10 April 2022
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臧海祥,耿明昊,黄蔓云等.电-热-气混联综合能源系统状态估计研究综述与展望[J].电力系统自动化,2022,46(7):187-199.
ZANG Haixiang,GENG Minghao,HUANG Manyun,et al.Review and Prospect of State Estimation for Electricity-Heat-Gas Integrated Energy System[J].Automation of Electric Power Systems,2022,46(7):187-199.
臧海祥,耿明昊,黄蔓云等.电-热-气混联综合能源系统状态估计研究综述与展望[J].电力系统自动化,2022,46(7):187-199. DOI: 10.7500/AEPS20210609003.
ZANG Haixiang,GENG Minghao,HUANG Manyun,et al.Review and Prospect of State Estimation for Electricity-Heat-Gas Integrated Energy System[J].Automation of Electric Power Systems,2022,46(7):187-199. DOI: 10.7500/AEPS20210609003.
综合能源系统的发展在提高能源效率、减少碳排放及增加可再生能源渗透率等方面起到了巨大的推动作用,面对耦合日益紧密的电-热、电-气互联综合能源系统,现有的能量管理模式和调度手段难以充分发挥其应有的优势。因此,实现综合能源系统协同一体、高效准确的状态估计,可以为后续协同调度、安全运行提供可靠的数据支撑。鉴于此,简要概述碳中和背景下综合能源系统状态估计研究,回顾综合能源系统状态估计理论的发展历程及难点;然后,从模型、数据、时间尺度3个层面分析电-热、电-气综合能源系统状态估计研究的总体思路;最后,对未来综合能源系统状态估计可深入研究的方向进行了展望。
The development of integrated energy system plays an important role in improving energy efficiency
reducing carbon emissions and increasing the permeability of renewable energy. Faced with the increasingly closely coupled integrated energy system with electricity-heat and electricity-gas interconnection
the existing energy management mode and scheduling means cannot give full play to their due advantages. Therefore
the realization of the integrated
efficient and accurate state estimation of the integrated energy system can provide reliable data support for the subsequent collaborative scheduling and safe operation. In view of this
this paper briefly summarizes the research on the state estimation of the integrated energy system in the background of carbon neutrality
and reviews the development history and difficulties of the theory of state estimation for the integrated energy system. The general idea of the research on the state estimation of the electricity-heat and electricity-gas integrated energy systems is analyzed from the three aspects of model
data and time scale. Finally
the future research directions of the integrated energy system state estimation are prospected.
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