Version 1
: Received: 7 March 2018 / Approved: 8 March 2018 / Online: 8 March 2018 (15:16:43 CET)
How to cite:
Ju, Y. Holomorphic Embedding Load Flow Modeling of the Three-phase Active Distribution Network. Preprints2018, 2018030066. https://doi.org/10.20944/preprints201803.0066.v1
Ju, Y. Holomorphic Embedding Load Flow Modeling of the Three-phase Active Distribution Network. Preprints 2018, 2018030066. https://doi.org/10.20944/preprints201803.0066.v1
Ju, Y. Holomorphic Embedding Load Flow Modeling of the Three-phase Active Distribution Network. Preprints2018, 2018030066. https://doi.org/10.20944/preprints201803.0066.v1
APA Style
Ju, Y. (2018). Holomorphic Embedding Load Flow Modeling of the Three-phase Active Distribution Network. Preprints. https://doi.org/10.20944/preprints201803.0066.v1
Chicago/Turabian Style
Ju, Y. 2018 "Holomorphic Embedding Load Flow Modeling of the Three-phase Active Distribution Network" Preprints. https://doi.org/10.20944/preprints201803.0066.v1
Abstract
With large-scale distributed generators (DGs) in an active distribution network (ADN), conventional load flow convergence failure is incurred by heavy power transmission. The Holomorphic Embedding Load Flow Method (HELM) has proven to be more robust than the Newton–Raphson method under heavy power transmission. At present, HELM is mainly designed for balanced transmission networks. In this study, we developed a three-phase HELM model to accommodate DGs, delta connection loads, and ZIP loads for ADN. The effectiveness and better performance of the proposed method under heavy load situations were validated using modified unbalanced IEEE 13, 34, 37, and 123 test feeders.
Keywords
Active Distribution Network; delta connection; Holomorphic Embedding Load Flow; three-phase
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.