skip to main content


This content will become publicly available on May 31, 2024

Title: Restoring AC Power Flow Feasibility from Relaxed and Approximated Optimal Power Flow Models
Award ID(s):
2145564
NSF-PAR ID:
10482385
Author(s) / Creator(s):
;
Publisher / Repository:
IEEE
Date Published:
Journal Name:
Proceedings of the American Control Conference
ISSN:
2378-5861
Page Range / eLocation ID:
4463-4470
Format(s):
Medium: X
Location:
San Diego, CA, USA
Sponsoring Org:
National Science Foundation
More Like this
  1. The non-linearity and non-convexity of the AC power flow equations may induce convergence problems to the Newton-Raphson (NR) algorithm. Indeed, as shown by Thorp and Naqavi, the NR algorithm may exhibit a fractal behavior. Furthermore, under heavy loading conditions or if some of the line reactances are relatively large compared to the others, the Jacobian matrix becomes ill-conditioned, which may cause the divergence of this algorithm. To address the aforementioned problems for radial power distribution systems, we propose in this paper to apply a sinusoidal transform to map the AC power flow equations into a convex quadratic form, which includes nodebased and Pythagorean equations. The good performance of the proposed approach is demonstrated via simulations carried out on several power distribution systems. 
    more » « less