MA Liye,ZHU Siyu,LU Zhigang,et al.Carbon Capture-P2G Collaborative Optimal Dispatch Model Considering Spatiotemporal Diffusion and Carbon Sink[J].Automation of Electric Power Systems,2023,47(2):15-23.
MA Liye,ZHU Siyu,LU Zhigang,et al.Carbon Capture-P2G Collaborative Optimal Dispatch Model Considering Spatiotemporal Diffusion and Carbon Sink[J].Automation of Electric Power Systems,2023,47(2):15-23. DOI: 10.7500/AEPS20220315001.
Carbon Capture-P2G Collaborative Optimal Dispatch Model Considering Spatiotemporal Diffusion and Carbon Sink
The traditional low-carbon economic dispatch only considers the issues of carbon emission sources
but does not consider the problems of carbon emission destinations. Therefore
based on the collaborative operation mode of carbon capture and power to gas (P2G)
while considering the carbon emission source and carbon emission destination at the same time
the concept of free carbon dioxide concentration (FCDC) is proposed. Because of the differences of carbon sinks in different ecological and geographical environments
considering the effects of atmospheric diffusion and ground vegetation carbon sink for carbon dioxide emissions
a FCDC distribution model is constructed. Then
the minimum average FCDC and the minimum total operating cost are used as the objective function to establish the optimal low-carbon economic dispatch model with carbon capture-P2G collaborative operation. Finally
the effectiveness of the proposed collaborative optimal dispatch model is verified by case simulation
which can reduce the carbon emissions while ensuring the economic benefits.
LIU Zhenya . The fundamental way to achieve carbon peak and carbon neutrality [J]. Electric Power Equipment Management , 2021 ( 3 ): 20 - 23 .
MIELCZARSKI W . Is the climate neutrality an illusion? [C]// 2020 17th International Conference on the European Energy Market (EEM) , September 16-18 , 2020 , Stockholm, Sweden : 1 - 4 .
ZHUO Zhenyu , ZHANG Ning , XIE Xiaorong , et al . Key technologies and developing challenges of power system with high proportion of renewable energy [J]. Automation of Electric Power Systems , 2021 , 45 ( 9 ): 171 - 191 .
ZHANG Xiaohui , YANG Lei , LI Xueping , et al . Analysis on relative capture degree based multi-objective optimization decision of flexible operation of carbon capture plant [J]. Automation of Electric Power Systems , 2014 , 38 ( 17 ): 143 - 149 .
CHEN Dapeng , WANG Jian , JING Zhaoxia . Decision model of carbon capture power plant to provide reserve service under flexible operation mode [J]. Automation of Electric Power Systems , 2017 , 41 ( 12 ): 138 - 145 .
ANTENUCCI A , SANSAVINI G . Extensive CO 2 recycling in power systems via power-to-gas and network storage [J]. Renewable and Sustainable Energy Reviews , 2019 , 100 : 33 - 43 .
SHENG S Q , WU H , GU Q . Low-carbon economic operation of the integrated energy system considering carbon capture unit coupling with power to gas [C]// 2019 IEEE International Conference on Power, Intelligent Computing and Systems , July 12-14 , 2019 , Shenyang, China : 402 - 407 .
XU Y T , DING T , QU M , et al . Low-carbon power system economic dispatch considering renewable energy accommodation [C]// 8th Renewable Power Generation Conference (RPG 2019) , October 24-25 , 2019 , Shanghai, China : 1 - 8 .
SUN Huijuan , LIU Yun , PENG Chunhua , et al . Optimization scheduling of virtual power plant with carbon capture and waste incineration considering power-to-gas coordination [J]. Power System Technology , 2021 , 45 ( 9 ): 3534 - 3545 .
TIAN Feng , JIA Yanbing , REN Haiquan , et al . “Source-load” low-carbon economic dispatch of integrated energy system considering carbon capture system [J]. Power System Technology , 2020 , 44 ( 9 ): 3346 - 3355 .
SHI Shouyuan , QU Kaiping , YU Tao , et al . A distributed algorithm for optimal power-gas flow considering space-time diffusion of atmospheric pollutants [J]. Transactions of China Electrotechnical Society , 2019 , 34 ( 23 ): 4957 - 4971 .
BAN M F , YU J L , SHAHIDEHPOUR M , et al . Considering the differentiating health impacts of fuel emissions in optimal generation scheduling [J]. IEEE Transactions on Sustainable Energy , 2020 , 11 ( 1 ): 15 - 26 .
KANG Chongqing , CHEN Qixin , XIA Qing . Innovation incurred by carbon capture technologies utilized in power systems [J]. Automation of Electric Power Systems , 2010 , 34 ( 1 ): 1 - 7 .
CHEN Qixin , KANG Chongqing , XIA Qing , et al . Mechanism and modelling approach to low-carbon power dispatch [J]. Automation of Electric Power Systems , 2010 , 34 ( 12 ): 18 - 23 .
HE L C , LU Z G , ZHANG J F , et al . Low-carbon economic dispatch for electricity and natural gas systems considering carbon capture systems and power-to-gas [J]. Applied Energy , 2018 , 224 : 357 - 370 .
LOU Suhua , YANG Yinhao , WU Yaowu , et al . Coal-fired power generation dispatch and coal blending coordinated optimization considering the spatiotemporal characteristics of atmospheric pollutants diffusion [J]. Proceedings of the CSEE , 2020 , 40 ( 21 ): 6956 - 6964 .
JIANG Chunyan . Simulation of the amount of carbon dioxide absorbed by China’s terrestrial vegetation and its temporal and spatial changes from 2000 to 2013 [J]. Harbin: Harbin Normal University , 2015 .
CUI Yang , ZENG Peng , HUI Xinxin , et al . Low-carbon economic dispatch considering the integrated flexible operation mode of carbon capture power plant [J]. Power System Technology , 2021 , 45 ( 5 ): 1877 - 1886 .
SUN Huijuan , MENG Jinhui , PENG Chunhua . Coordinated optimization scheduling of multi-region virtual power plant with wind-power/photovoltaic/hydropower/carbon-capture units [J]. Power System Technology , 2019 , 43 ( 11 ): 4040 - 4051 .
ZHOU Renjun , SUN Hong , TANG Xiafei , et al . Low-carbon economic dispatch based on virtual power plant made up of carbon capture unit and wind power under double carbon constraint [J]. Proceedings of the CSEE , 2018 , 38 ( 6 ): 1675 - 1683 .
SUI Xin , LU Shengyang , SU Anlong , et al . Research on multi-objective optimal scheduling of nuclear power considering wind power and flexible load [J]. Proceedings of the CSEE , 2019 , 39 ( 24 ): 7232 - 7241 .