Unified Power Flow Analysis in Natural Gas and Electricity Coupled Networks Considering the Uncertainty of Wind Power

被引:10
|
作者
Qiao, Zheng [1 ]
Huang, Shangyuan [2 ]
Li, Rui [3 ]
Guo, Qinglai [1 ]
Sun, Hongbin [1 ]
Pan, Zhaoguang [1 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
[2] State Gird Shanghai Municipal Elect Power Co, Shanghai 200122, Peoples R China
[3] State Gird Shanghai Elect Power Res Inst, Shanghai 200437, Peoples R China
基金
中国国家自然科学基金;
关键词
Power flow analysis; natural gas and electricity coupled system; uncertainty analysis; wind power; interval power flow algorithm;
D O I
10.1016/j.egypro.2016.11.293
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The widely application of renewable energy in power system makes a big influence on the system security and stability. The main work of this paper was building a comprehensive system model of a natural gas and electricity coupled network and analyzing the steady-state power flow of the coupled network. On this basis, this paper further studied the impact of uncertainty of wind power, and analyzed the interval range of the variables of natural gas system using interval algorithm. The analysis and case studies led to the conclusion that the uncertainty of wind power has a significant impact on the security of natural gas system. (C) 2016 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:322 / 327
页数:6
相关论文
共 50 条
  • [1] An interval gas flow analysis in natural gas and electricity coupled networks considering the uncertainty of wind power
    Qiao, Zheng
    Guo, Qinglai
    Sun, Hongbin
    Pan, Zhaoguang
    Liu, Yuquan
    Xiong, Wen
    [J]. APPLIED ENERGY, 2017, 201 : 343 - 353
  • [2] A Unified Gas and Power Flow Analysis in Natural Gas and Electricity Coupled Networks
    Martinez-Mares, Alberto
    Fuerte-Esquivel, Claudio R.
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2012, 27 (04) : 2156 - 2166
  • [3] Integrated Probabilistic Energy Flow Analysis in Natural Gas and Electricity Coupled Systems Considering the Randomness of Wind Power
    Qi, Shixiong
    Wang, Xiuli
    Wang, Yifei
    Tian, Shijun
    Wang, Ruogu
    [J]. 2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2017,
  • [4] Robust dispatch for Integrated Electricity and Natural Gas System Considering Wind Power Uncertainty
    Wang, Xu
    Bie, Zhaohong
    Liu, Fan
    Kou, Yu
    [J]. RENEWABLE ENERGY INTEGRATION WITH MINI/MICROGRID, 2019, 159 : 130 - 135
  • [5] Probabilistic Power and Gas Flow Analysis for Electricity-Gas Coupled Networks Considering Uncertainties in Pipeline Parameters
    Yang, Lun
    Zhao, Xia
    Hu, Xiaoyun
    Sun, Guorong
    Yan, Wei
    [J]. 2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2017,
  • [6] Interval optimization based coordination scheduling of gas-electricity coupled system considering wind power uncertainty, dynamic process of natural gas flow and demand response management
    Zhang, Yachao
    Huang, Zhanghao
    Zheng, Feng
    Zhou, Rongyu
    An, Xueli
    Li, Yinghai
    [J]. ENERGY REPORTS, 2020, 6 : 216 - 227
  • [7] Distributed optimization of integrated electricity-natural gas distribution networks considering wind power uncertainties
    Duan, Jiandong
    Yang, Yao
    Liu, Fan
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 135
  • [8] Robust Stochastic Dynamic Optimal Power Flow Model of Electricity-Gas Integrated Energy System considering Wind Power Uncertainty
    Qin, Zhengfeng
    Bai, Xiaoqing
    Su, Xiangyang
    [J]. COMPLEXITY, 2020, 2020
  • [9] Distributed adjustable robust optimal power-gas flow considering wind power uncertainty
    Zhai, Junyi
    Jiang, Yuning
    Li, Jianing
    Jones, Colin N.
    Zhang, Xiao-Ping
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 139
  • [10] AC-constrained Optimal Power Flow Considering Wind Power Generation Uncertainty in Radial Power Networks
    Liu Bin
    Liu Feng
    Mei Shengwei
    [J]. 2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 2797 - 2801