2009 IEEE/PES Power Systems Conference and Exposition 2009
DOI: 10.1109/psce.2009.4840149
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Robust three phase fast decoupled power flow

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Cited by 6 publications
(10 citation statements)
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“…where U = −Y Im and U is built taking the elements of −Y Im that correspond to the PV nodes. Later, FDLF has been developed for unbalanced radial distribution system [131], three phase distribution networks [74] and for transmission system using an optimal multiplier [10]. From the mathematical point of view, some authors have addressed its theoretical background [78,120].…”
Section: Gauss-seidel and Newton-raphson Methodsmentioning
confidence: 99%
“…where U = −Y Im and U is built taking the elements of −Y Im that correspond to the PV nodes. Later, FDLF has been developed for unbalanced radial distribution system [131], three phase distribution networks [74] and for transmission system using an optimal multiplier [10]. From the mathematical point of view, some authors have addressed its theoretical background [78,120].…”
Section: Gauss-seidel and Newton-raphson Methodsmentioning
confidence: 99%
“…wherė= [̇̇] . It is evident that the solutions of algebraic equation 7correspond to the equilibrium points of the ordinary differential equation defined in (9). A solution of algebraic equation is exactly an equilibrium point of the ordinary differential equation.…”
Section: Fractal Convergence Boundariesmentioning
confidence: 99%
“…Since power flow calculation started in 1956 [1][2][3], a variety of numerical methods have been developed for power flow study, such as Gauss method [1], Newton method [4], and fast decoupled method [5]. Over the past 20 years, Newton method and its variations are widespread, utilized, and enhanced [6][7][8][9][10][11]. Power flow study (or load flow study) is the determination of steady-state conditions of a power system for a specified power generation and load demand.…”
Section: Introductionmentioning
confidence: 99%
“…To overcome the aforementioned difficulties, various tricks have so far been proposed in the literature. To reduce the probability of divergence of the power flow problem, specifically in abnormal operating situations and ill-conditioned systems, the following techniques were employed: optimization techniques and mathematical procedures such as Levenberg-Marquardt [3], quadratic programming [4], nonlinear programming (NLP) [5], principal component analysis [6], the optimal multiplier method [7], and heuristic methods such as genetic algorithm [2], particle swarm optimization [8], and biogeography-based optimization [9]. These techniques, despite an acceptable performance in reducing the risk of divergence, are still of very low convergence speed.…”
Section: Introductionmentioning
confidence: 99%