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Bibliographic Details
Main Authors: Nadal, Ignasi Ventura, Chevalier, Samuel
Format: Preprint
Published: 2022
Subjects:
Online Access:https://arxiv.org/abs/2206.12214
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author Nadal, Ignasi Ventura
Chevalier, Samuel
author_facet Nadal, Ignasi Ventura
Chevalier, Samuel
contents This paper provides a systematic investigation into the various nonlinear objective functions which can be used to explore the feasible space associated with the optimal power flow problem. A total of 40 nonlinear objective functions are tested, and their results are compared to the data generated by a novel exhaustive rejection sampling routine. The Hausdorff distance, which is a min-max set dissimilarity metric, is then used to assess how well each nonlinear objective function performed (i.e., how well the tested objective functions were able to explore the non-convex power flow space). Exhaustive test results were collected from five PGLib test-cases and systematically analyzed.
format Preprint
id arxiv_https___arxiv_org_abs_2206_12214
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Optimization-Based Exploration of the Feasible Power Flow Space for Rapid Data Collection
Nadal, Ignasi Ventura
Chevalier, Samuel
Systems and Control
This paper provides a systematic investigation into the various nonlinear objective functions which can be used to explore the feasible space associated with the optimal power flow problem. A total of 40 nonlinear objective functions are tested, and their results are compared to the data generated by a novel exhaustive rejection sampling routine. The Hausdorff distance, which is a min-max set dissimilarity metric, is then used to assess how well each nonlinear objective function performed (i.e., how well the tested objective functions were able to explore the non-convex power flow space). Exhaustive test results were collected from five PGLib test-cases and systematically analyzed.
title Optimization-Based Exploration of the Feasible Power Flow Space for Rapid Data Collection
topic Systems and Control
url https://arxiv.org/abs/2206.12214