2018
DOI: 10.1109/tpwrs.2017.2724030
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On the Network Topology Dependent Solution Count of the Algebraic Load Flow Equations

Abstract: A large amount of research activity in power systems areas has focused on developing computational methods to solve load flow equations where a key question is the maximum number of isolated solutions. Though several concrete upper bounds exist, recent studies have hinted that much sharper upper bounds that depend the topology of underlying power networks may exist. This paper establishes such a topology dependent solution bound which is actually the best possible bound in the sense that it is always attainabl… Show more

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Cited by 36 publications
(21 citation statements)
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“…This construction has been studied in the context of Kuramoto model and power flow equations. 16,19 Similar constructions have also appeared in other contexts. [20][21][22] The adjacency polytope bound is a simplification and relaxation of the Bernshtein-Kushnirenko-Khovanskii bound.…”
Section: Adjacency Polytope and Facet Networksupporting
confidence: 73%
“…This construction has been studied in the context of Kuramoto model and power flow equations. 16,19 Similar constructions have also appeared in other contexts. [20][21][22] The adjacency polytope bound is a simplification and relaxation of the Bernshtein-Kushnirenko-Khovanskii bound.…”
Section: Adjacency Polytope and Facet Networksupporting
confidence: 73%
“…, L G,n , its direct computation, in general, remains a difficult problem. Using a construction known as the "adjacency polytope bound" developed in [11,13], the primary contribution of this paper is the computation of explicit formulas for the birationally invariant intersection index [L G,1 , . .…”
Section: Problem Statement 3 (Birationally Invariant Intersection Index)mentioning
confidence: 99%
“…A relaxation of the BKK bound was developed in the context of algebraic synchronization equations [11] as well as the closely related "power-flow equations." [13].…”
Section: Preliminaries and Notationsmentioning
confidence: 99%
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“…13 No existing literature claims complete solution sets for larger IEEE test cases. 14 A more recent progress in [16] successfully reduced the computational time of case14 to 5 minutes, however, the proposed HEBC is still much faster.…”
Section: B Comparison To Full Predictor-corrector Algorithmmentioning
confidence: 99%