On the Network Topology Dependent Solution Count of the Algebraic Load Flow Equations
Tianran Chen, Dhagash Mehta

TL;DR
This paper introduces a topology-dependent upper bound on the number of solutions to algebraic load flow equations in power systems, utilizing a geometric adjacency polytope for precise computation, with significant implications for solving these equations.
Contribution
It establishes the first sharp, topology-dependent solution bound for load flow equations, using a novel geometric adjacency polytope construction.
Findings
Derived the best possible topology-dependent solution bound.
Developed the adjacency polytope for accurate topology representation.
Highlighted implications for solving 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 attainable. We also develop a geometric construction called adjacency polytope which accurately captures the topology of the underlying power network and is immensely useful in the computation of the solution bound. Finally we highlight the significant implications of the development of such solution bound in solving load flow equations.
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Taxonomy
TopicsOptimal Power Flow Distribution · Advanced Graph Theory Research · Power System Optimization and Stability
