Transversality enforced Newton-Raphson algorithm for fast calculation of maximum loadability

被引:6
|
作者
Ali, Mazhar [1 ]
Dymarsky, Anatoly [1 ,2 ]
Turitsyn, Konstantin [3 ]
机构
[1] Skolkovo Inst Sci & Technol, Ctr Energy Syst, Moscow 143026, Russia
[2] Univ Kentucky, Dept Phys & Astron, Lexington, KY 40506 USA
[3] MIT, Dept Mech Engn, Cambridge, MA 02139 USA
基金
美国国家科学基金会;
关键词
Newton-Raphson method; load flow; computability; transversality enforced Newton-Raphson algorithm; Newton-Raphson load flow solver; maximal system loadability calculation; standard power flow equation; algebraic representation; maximal voltage level condition; minimal voltage level condition; Newton-Raphson type iteration; IEEE standard; POWER-FLOW SOLUTION; TRANSFER CAPABILITY; CONTINUATION; COMPUTATION; SYSTEM; EXISTENCE; POINTS;
D O I
10.1049/iet-gtd.2017.1273
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The authors propose a novel modification of the conventional Newton-Raphson load flow solver for characterisation of the maximal system loadability. Within the proposed approach, the standard power flow equations are extended with (i) an algebraic representation of maximal and minimal voltage level conditions and (ii) with the so-called transversality condition restricting the set of solutions to the boundary of the solvability region. Solutions to this extended system of equation characterise the maximal load levels for which the solution of power flow equations exists and satisfies the standard feasibility constraints on voltage levels. The resulting system of equations is non-singular and can be solved with just a few standard Newton-Raphson type iterations. Different possible choices of transversality conditions are discussed together with fast algorithms for evaluating the transversality conditions and their gradients. Implementation of the algorithm is described in detail, and its performance is validated on several IEEE cases.
引用
收藏
页码:1729 / 1737
页数:9
相关论文
共 50 条
  • [21] NEWTON-RAPHSON AND RELATED ALGORITHMS FOR MAXIMUM LIKELIHOOD VARIANCE COMPONENT ESTIMATION
    JENNRICH, RI
    SAMPSON, PF
    TECHNOMETRICS, 1976, 18 (01) : 11 - 17
  • [22] Improved modified Newton-Raphson algorithm for electrical impedance tomography
    Loh, WW
    Dickin, FJ
    ELECTRONICS LETTERS, 1996, 32 (03) : 206 - 207
  • [23] Equivalent circuit of photovoltaic generator using Newton-Raphson algorithm
    Theocharis, Andreas D.
    Charalampakos, Vasilis P.
    Drosopoulos, Anastasios
    Milias-Argitis, John
    COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING, 2012, 31 (04) : 1224 - 1245
  • [24] Iterative synchronization: EM algorithm versus Newton-Raphson method
    Herzet, C.
    Wautelet, X.
    Ramon, V.
    Vandendorpe, L.
    2006 IEEE International Conference on Acoustics, Speech and Signal Processing, Vols 1-13, 2006, : 4063 - 4066
  • [25] A distributed continuous-time modified Newton-Raphson algorithm
    Moradian, Hossein
    Kia, Solmaz S.
    AUTOMATICA, 2022, 136
  • [26] Power Flow Calculation by Combination of Newton-Raphson Method and Newton's Method in Optimization
    Pazderin, Andrey
    Yuferev, Sergey
    IECON: 2009 35TH ANNUAL CONFERENCE OF IEEE INDUSTRIAL ELECTRONICS, VOLS 1-6, 2009, : 1580 - +
  • [27] Digital calibration of pipelined ADC using Newton-Raphson algorithm
    Zia, Ehsan
    Farshidi, Ebrahim
    Kosarian, Abdolnabi
    ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING, 2020, 104 (01) : 61 - 70
  • [28] Convergence of density functional iterative procedures with a Newton-Raphson algorithm
    J. W. Jerome
    P. R. Sievert
    L. H. Ye
    I. G. Kim
    A. J. Freeman
    Journal of Computational Electronics, 2007, 6 : 349 - 352
  • [29] HYBRID NEWTON-RAPHSON GENETIC ALGORITHM FOR THE TRAVELING SALESMAN PROBLEM
    LIN, W
    DELGADOFRIAS, JG
    GAUSE, DC
    VASSILIADIS, S
    CYBERNETICS AND SYSTEMS, 1995, 26 (04) : 387 - 412
  • [30] A modified newton-raphson absolute image reconstruction algorithm for ERT
    Xiao, Liqing
    Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology, 2015, 48 (08): : 734 - 741