TL;DR
This paper presents a method to predict the trajectory of a large open system by analyzing its actual and expected droop, reconstructed from power and frequency variations, under synchronization conditions.
Contribution
It introduces a novel approach to determine the expected path of an open system based on potential energy and synchronization analysis.
Findings
The actual droop can be reconstructed from power and frequency data.
The expected droop is derived as a function of rotation and potential energy.
The method enables prediction of system paths in large Poincare systems.
Abstract
The expected path of an open system,which is a big Poincare system,has been found in this paper.This path has been obtained from the actual and from the expected droop of the open system.The actual droop has been reconstructed from the variations in the power and in the frequency of the open system.The expected droop has been found as a function of rotation from the expected potential energy of the open system under synchronization of that system.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Advanced Thermodynamics and Statistical Mechanics · Quantum and electron transport phenomena