2012
DOI: 10.2478/v10187-012-0022-x
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Critical Reviews of Load Flow Methods for Well, Ill and Unsolvable Condition

Abstract: This paper presents a critical review of Load flow methods in well, ill and unsolvable conditioned systems. The comparison studies deals with multiple load flow solution (MLFS), second-order load-flow (SOLF) and continuation load flow (CLF). The ability of theses method to return from unsolvable solution to a solvable solution in load flow analysis is analyzed and discuss thoroughly. Special attention is given to the problems and techniques to provide optimal recommendations of the parameters that are used in … Show more

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Cited by 9 publications
(4 citation statements)
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“…As systems start to operate closer to their limits, picking better initialization points becomes insufficient. Since the Jacobians for all points that are close to the boundary of the feasible power flow region have eigenvalues close to 0 (they loose rank), they necessarily become ill-conditioned and iterative algorithms may diverge [16], [17]. To avoid this phenomenon, a class of non-divergent power flow algorithms was developed to accelerate or decelerate the updates based on the conditioning of the Jacobian [18]- [21].…”
Section: Introductionmentioning
confidence: 99%
“…As systems start to operate closer to their limits, picking better initialization points becomes insufficient. Since the Jacobians for all points that are close to the boundary of the feasible power flow region have eigenvalues close to 0 (they loose rank), they necessarily become ill-conditioned and iterative algorithms may diverge [16], [17]. To avoid this phenomenon, a class of non-divergent power flow algorithms was developed to accelerate or decelerate the updates based on the conditioning of the Jacobian [18]- [21].…”
Section: Introductionmentioning
confidence: 99%
“…Ill‐conditioned cases may provoke convergence problems in most of standard LF methods [15]. Consequently, several robust LF methods have been developed in order to solve the ill‐conditioned systems.…”
Section: Introductionmentioning
confidence: 99%
“…Standard LF solvers do not have good performance in ill‐conditioned systems; hence, the standard NR and FD often fail in these cases. Different robust LF solvers have been developed to solve the ill‐conditioned cases .…”
Section: Introductionmentioning
confidence: 99%