Distributed optimal dispatch of integrated electricity and natural gas system considering the pipeline storage characteristics

被引:0
作者
Kuang, Cuizhe [1 ]
Xiao, Meng [1 ]
Chen, Zexing [2 ]
Lu, Jin [1 ]
机构
[1] Shenzhen Polytech, Shenzhen, Guangdong, Peoples R China
[2] China Southern Power Grid Co Ltd, Energy Dev Res Inst, Guangzhou, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
Integrated electricity and natural gas system (IEGS); Distributed solution; Optimal dispatch; Storage characteristics; WIND POWER; OPTIMIZATION; ENERGY; MODEL;
D O I
10.1007/s12065-021-00584-z
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
As an important form of multi-energy complementation, the integrated electricity and natural gas system (IEGS) is a new carrier for renewable energy accommodation. Firstly, based on the natural gas pipeline model, the buffer effect of natural gas pipeline storage characteristics in response to natural gas load fluctuations is analyzed. Then, considering the pipeline storage characteristics, a dad-ahead economic dispatch model for IEGSs with a high proportion of wind power is established. And the extreme scenario optimization method is used in this model to deal with the uncertainty of wind power. Furthermore, a distributed solutions method based on the Improved Alternating Direction Method of Multipliers is proposed to accelerate the convergence of distributed solutions. Cases studies are conducted on a modified IEEE 39-bus system and a Belgium 20-node natural gas system to verify the effectiveness of models and algorithms.
引用
收藏
页码:2529 / 2539
页数:11
相关论文
共 35 条
[1]   Coordination of Interdependent Natural Gas and Electricity Infrastructures for Firming the Variability of Wind Energy in Stochastic Day-Ahead Scheduling [J].
Alabdulwahab, Ahmed ;
Abusorrah, Abdullah ;
Zhang, Xiaping ;
Shahidehpour, Mohammad .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2015, 6 (02) :606-615
[2]  
[Anonymous], 2015, ESTIMATION INFERENTI
[3]  
Bakken BH., 2009, IEEE POW EN SOC GEN
[4]   The role of power-to-gas and carbon capture technologies in cross-sector decarbonisation strategies [J].
Berger, Mathias ;
Radu, David ;
Fonteneau, Raphael ;
Deschuyteneer, Thierry ;
Detienne, Ghislain ;
Ernst, Damien .
ELECTRIC POWER SYSTEMS RESEARCH, 2020, 180 (180)
[5]   Multi-time period combined gas and electricity network optimisation [J].
Chaudry, Modassar ;
Jenkins, Nick ;
Strbac, Goran .
ELECTRIC POWER SYSTEMS RESEARCH, 2008, 78 (07) :1265-1279
[6]   Stochastic Dynamic Economic Dispatch of Wind-integrated Electricity and Natural Gas Systems Considering Security Risk Constraints [J].
Chen, Zexing ;
Zhu, Gelan ;
Zhang, Yongjun ;
Ji, Tianyao ;
Liu, Ziwen ;
Lin, Xiaoming ;
Cai, Zexiang .
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2019, 5 (03) :324-334
[7]   Coordination of Interdependent Electricity Grid and Natural Gas Network—a Review [J].
He C. ;
Zhang X. ;
Liu T. ;
Wu L. ;
Shahidehpour M. .
Current Sustainable/Renewable Energy Reports, 2018, 5 (1) :23-36
[8]   Storing renewables in the gas network: modelling of power-to-gas seasonal storage flexibility in low-carbon power systems [J].
Clegg, Stephen ;
Mancarella, Pierluigi .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2016, 10 (03) :566-575
[9]   Integrated Power and Natural Gas Model for Energy Adequacy in Short-Term Operation [J].
Correa-Posada, Carlos M. ;
Sanchez-Martin, Pedro .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (06) :3347-3355
[10]   The gas transmission problem solved by an extension of the simplex algorithm [J].
De Wolf, D ;
Smeers, Y .
MANAGEMENT SCIENCE, 2000, 46 (11) :1454-1465