An Asymptotic Numerical Continuation Power Flow to Cope with Non-Smooth Issue

被引:2
|
作者
Huang, Yan [1 ]
Ju, Yuntao [1 ]
Zhu, Zeping [1 ]
机构
[1] China Agr Univ, Coll Informat & Elect Engn, Beijing 100083, Peoples R China
基金
中国国家自然科学基金;
关键词
continuation power flow; non-smooth constraints; asymptotic numerical method; complementarity constraints; Fisher-Burmeister function; predictor-corrector method; COLLAPSE;
D O I
10.3390/en12183493
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
Continuation power flow (CPF) calculation is very important for analyzing voltage stability of power system. CPF calculation needs to deal with non-smooth constraints such as the generator buses reactive power limits. It is still a technical challenge to determine the step size while dealing with above non-smooth constraints in CPF calculation. In this paper, an asymptotic numerical method (ANM) based on Fischer-Burmeister (FB) function, is proposed to calculate CPF. We first used complementarity constraints to cope with non-smooth issues and introduced the FB function to formulate the complementarity constraints. Meanwhile, we introduced new variables for substitution to meet the quadratic function requirements of ANM. Compared with the conventional predictor-corrector method combining with heuristic PV-PQ (PV and PQ are used to describe bus types. PV means that the active power and voltage of the bus are known. PQ means that the active and reactive power of bus are known.) bus type switching, ANM can effectively solve the PV-PQ bus type switching problem in CPF calculation. Furthermore, to assure high efficiency, ANM can rapidly approach the voltage collapse point by self-adaptive step size adjustment and constant Jacobian matrix used for power series expansion. However, conventional CPF needs proper step set in advance and calculates Jacobian matrix for each iteration. Numerical tests on a nine-bus network and a 182-bus network validate that the proposed method is more robust than existing methods.
引用
收藏
页数:17
相关论文
共 50 条
  • [21] Special issue on adaptive systems with non-smooth non-linearities
    Tao, G
    deWit, CAC
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 1997, 11 (01) : 1 - 2
  • [22] Modified differential evolution algorithm for optimal power flow with non-smooth cost functions
    Sayah, Samir
    Zehar, Khaled
    ENERGY CONVERSION AND MANAGEMENT, 2008, 49 (11) : 3036 - 3042
  • [23] Asymptotic behavior of spectral functions for elliptic operators with non-smooth coefficients
    Miyazaki, Y
    JOURNAL OF FUNCTIONAL ANALYSIS, 2004, 214 (01) : 132 - 154
  • [24] MECHANISM OF FLOW DRAG REDUCTION ON NON-SMOOTH SURFACE
    Feng Beibei
    Chen Darong
    Wang Jiadao
    Yang Xingtuan
    PROCEEDINGS OF THE 21ST INTERNATIONAL CONFERENCE ON NUCLEAR ENGINEERING - 2013, VOL 2, 2014,
  • [25] Asymptotic of solutions for second IBVP for hyperbolic systems in non-smooth domains
    Nguyen Manh Hung
    Phung Kim Chuc
    APPLICABLE ANALYSIS, 2014, 93 (05) : 1010 - 1035
  • [26] A numerical method for the heat equation with non-smooth corner conditions
    Jumarhon, B
    COMMUNICATIONS IN NUMERICAL METHODS IN ENGINEERING, 2001, 17 (10): : 727 - 736
  • [27] Orbital stability of non-smooth movements in permanent numerical turbulences
    Vielsack, P
    ZEITSCHRIFT FUR ANGEWANDTE MATHEMATIK UND MECHANIK, 1999, 79 : S105 - S108
  • [28] NUMERICAL STUDY OF CALCULATING LYAPUNOV EXPONENTS FOR NON-SMOOTH SYSTEMS
    Fu, Shihui
    Wang, Qi
    ADVANCES IN DIFFERENTIAL EQUATIONS AND CONTROL PROCESSES, 2010, 5 (01): : 65 - 72
  • [29] Numerical and experimental study of vibrations in a non-smooth electromechanical system
    Foguem, Prosper Kounchie
    Soh, Guy Bertrand Mbou
    Kingni, Sifeu Takougang
    Woafo, Paul
    JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS, 2024, 590
  • [30] Solving Non-Smooth Optimal Power Flow Problems Using a Developed Grey Wolf Optimizer
    Abdo, Mostafa
    Kamel, Salah
    Ebeed, Mohamed
    Yu, Juan
    Jurado, Francisco
    ENERGIES, 2018, 11 (07):