Assessing the impact of Higher Order Network Structure on Tightness of OPF Relaxation
Nafis Sadik, and Mohammad Rasoul Narimani

TL;DR
This paper investigates how higher-order network structures in power grids influence the effectiveness of convex relaxations in solving the AC optimal power flow problem, using graph theory and empirical analysis.
Contribution
It introduces a novel empirical approach linking local graphlet structures to the tightness of OPF relaxations in power systems.
Findings
Certain graphlets correlate with tighter relaxations.
Network topology significantly impacts relaxation quality.
Empirical evidence supports structural influence on OPF solutions.
Abstract
AC optimal power flow (AC OPF) is a fundamental problem in power system operation and control. Accurately modeling the network physics via the AC power flow equations makes AC OPF a challenging nonconvex problem that results in significant computational challenges. To search for global optima, recent research has developed a variety of convex relaxations to bound the optimal objective values of AC OPF problems. However, the quality of these bounds varies for different test cases, suggesting that OPF problems exhibit a range of difficulties. Understanding this range of difficulty is helpful for improving relaxation algorithms. Power grids are naturally represented as graphs, with buses as nodes and power lines as edges. Graph theory offers various methods to measure power grid graphs, enabling researchers to characterize system structure and optimize algorithms. Leveraging graph…
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Taxonomy
TopicsOptimal Power Flow Distribution · Advanced Optical Network Technologies · Complex Network Analysis Techniques
