The Initial Guess Estimation Newton Method for Power Flow in Distribution Systems

被引:0
|
作者
Qiuye Sun [1 ]
Ling Liu [2 ]
Dazhong Ma [1 ]
Huaguang Zhang [3 ,1 ,4 ]
机构
[1] School of Information Science and Engineering,Northeastern University
[2] School of College of Science,Northeastern University
[3] IEEE
[4] Key Laboratory of Integrated Automation of Process Industry (Northeastern University) of the National Education Ministry
基金
中央高校基本科研业务费专项资金资助; 中国国家自然科学基金;
关键词
Convergent theorem; high penetration distributed generations(DGs); initial Guess estimation Newton method; maximum iteration times;
D O I
暂无
中图分类号
TM744 [电力系统的计算];
学科分类号
080802 ;
摘要
With the increasing integration of distributed generations(DGs), there is a demand for DGs to play a more important role on the voltage regulation. Meanwhile, the high penetration of DGs could raise a technical problem that the distribution system may operate with bi-directional power flow, leading to the inadequacy of the traditional power flow. Considering this new scenario in distribution system power flow, the convergence theorem is proposed, which contributes to develop a novel selection method of the initial guess closed to the convergent solution.Moreover, to ensure the fast rate of power flow convergence, the theorem of the maximum iterations estimation is also proposed.Based on the two proposed theorems, an Initial Guess Estimation Newton method is proposed, considering different operational status of DGs and initial guess sensitivity simultaneously. Based on the standard node systems, Tongliao grid, and 69 system of USA, three simulation examples are provided to illustrate the effectiveness of the proposed method.
引用
收藏
页码:231 / 242
页数:12
相关论文
共 50 条
  • [1] The Initial Guess Estimation Newton Method for Power Flow in Distribution Systems
    Sun, Qiuye
    Liu, Ling
    Ma, Dazhong
    Zhang, Huaguang
    [J]. IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2017, 4 (02) : 231 - 242
  • [2] An Improved Initial Guess of Newton Method for Hybrid State Estimation
    Rakpenthai, Chawasak
    Uatrongjit, Sermsak
    [J]. 2014 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE, ELECTRONICS AND ELECTRICAL ENGINEERING (ISEEE), VOLS 1-3, 2014, : 1501 - +
  • [3] Choice of an initial guess for Newton?s method to solve nonlinear differential equations
    Choi, Hayoung
    Kim, Sang Dong
    Shin, Byeong-Chun
    [J]. COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2022, 117 : 69 - 73
  • [4] Image reconstruction scheme that combines modified Newton method and efficient initial guess estimation for optical tomography of finger joints
    Yuan, Zhen
    Jiang, Huabei
    [J]. APPLIED OPTICS, 2007, 46 (14) : 2757 - 2768
  • [5] ESTIMATION OF KINETIC-PARAMETERS - INITIAL GUESS GENERATION METHOD
    GLOWINSKI, J
    STOCKI, J
    [J]. AICHE JOURNAL, 1981, 27 (06) : 1041 - 1043
  • [6] Multiphase power flow and state estimation for power distribution systems
    Meliopoulos, APS
    Zhang, F
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 1996, 11 (02) : 939 - 946
  • [7] STATE ESTIMATION ALGORITHM FOR ILLCONDITIONED POWER-SYSTEMS BY NEWTON METHOD
    TRIPATHY, SC
    CHAUHAN, DS
    PRASAD, GD
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 1987, 9 (02) : 113 - 116
  • [8] Extension of the modified Newton method for radial distribution systems load flow
    Kebaili, S
    Adjeroud, F
    Zehar, K
    [J]. CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING 2001, VOLS I AND II, CONFERENCE PROCEEDINGS, 2001, : 781 - 784
  • [9] Harmonic Power Flow in Electric Power Systems Using Modified Newton Raphson Method
    Boumediene, L.
    Khiat, M.
    Rahli, M.
    Chaker, A.
    [J]. INTERNATIONAL REVIEW OF ELECTRICAL ENGINEERING-IREE, 2009, 4 (03): : 410 - 416
  • [10] A modified Newton method for radial distribution system power flow analysis - Discussion
    Barakat, E
    AlRashed, SA
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 1997, 12 (01) : 397 - 397