Probabilistic load flow with detailed wind generator models considering correlated wind generation and correlated loads

被引:36
|
作者
Gupta, Neeraj [1 ]
机构
[1] Natl Inst Technol, Dept Elect Engn, Hamirpur, Himachal Prades, India
关键词
Probabilistic load flow; Point estimate method; Wind generators; POINT ESTIMATE METHOD; POWER-FLOW; DISTRIBUTIONS; COMPUTATION; SYSTEMS; FARMS;
D O I
10.1016/j.renene.2016.03.030
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The enhancement in the penetration of intermittent generation necessitates the need to include uncertain behaviour in the conventional power flow programs. In this paper, four different wind generation models have been incorporated in probabilistic load flow for calculating the probability distribution of the reactive power consumed by the wind generators for three different scenarios; i) uncorrelated wind and uncorrelated loads ii) uncorrelated wind and correlated loads and iii) correlated wind and correlated loads The above mentioned scenarios have been implemented in probabilistic load flow using point estimate method in the IEEE-118 bus test system and accuracy of the results have been validated by comparing these results with those obtained by Monte Carlo simulation studies. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:96 / 105
页数:10
相关论文
共 50 条
  • [41] Stochastic optimal transmission switching considering the correlated wind power
    Zhang, Heng
    Cheng, Haozhong
    Zhang, Shenxi
    [J]. IET GENERATION TRANSMISSION & DISTRIBUTION, 2019, 13 (13) : 2664 - 2672
  • [42] Modeling of Correlated Photovoltaic Generations and Load Demands in Probabilistic Load Flow
    Prusty, B. Rajanarayan
    Jena, Debashisha
    [J]. 2015 ANNUAL IEEE INDIA CONFERENCE (INDICON), 2015,
  • [43] Probabilistic load flow method considering large-scale wind power integration
    Xiaoyang DENG
    Pei ZHANG
    Kangmeng JIN
    Jinghan HE
    Xiaojun WANG
    Yuwei WANG
    [J]. Journal of Modern Power Systems and Clean Energy, 2019, 7 (04) : 813 - 825
  • [44] Probabilistic optimal power flow for power systems considering wind uncertainty and load correlation
    Li, Xue
    Cao, Jia
    Du, Dajun
    [J]. NEUROCOMPUTING, 2015, 148 : 240 - 247
  • [45] Probabilistic load flow method considering large-scale wind power integration
    Deng, Xiaoyang
    Zhang, Pei
    Jin, Kangmeng
    He, Jinghan
    Wang, Xiaojun
    Wang, Yuwei
    [J]. JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2019, 7 (04) : 813 - 825
  • [46] Probabilistic Power Flow using Improved Monte Carlo Simulation Method with Correlated Wind Sources
    Bie, Pei
    Zhang, Buhan
    Li, Hang
    Deng, Weisi
    Wu, Jiasi
    [J]. SEVENTH INTERNATIONAL CONFERENCE ON ELECTRONICS AND INFORMATION ENGINEERING, 2017, 10322
  • [47] Probabilistic Load Flow Considering Load and Wind Power Uncertainties using Modified Point Estimation Method
    Singh, Vikas
    Moger, Tukaram
    Jena, Debashisha
    [J]. 3RD INTERNATIONAL CONFERENCE ON SMART GRID AND RENEWABLE ENERGY (SGRE), 2022,
  • [48] A Probabilistic Wind Farm Model for Probabilistic Load Flow Calculation
    Li, Xue
    Pei, Jianxia
    Zhang, Shaohua
    [J]. 2010 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2010,
  • [49] Multiaxial fatigue assessment of jacket-supported offshore wind turbines considering multiple random correlated loads
    Han, Chaoshuai
    Liu, Kun
    Ma, Yongliang
    Qin, Peijiang
    Zou, Tao
    [J]. RENEWABLE ENERGY, 2021, 169 : 1252 - 1264
  • [50] Probabilistic Voltage Stability Assessment Considering Load and Wind Uncertainties
    Alzubaidi, Mohammad
    Hasan, Kazi N.
    Meegahapola, Lasantha
    Rahman, Mir Toufikur
    [J]. 2021 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT ASIA), 2021,