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Title: Optimal Operation of Soft Open Points in Active Distribution Networks Under Three-Phase Unbalanced Conditions

Abstract

The asymmetric integration of distributed generators (DGs) exacerbates the three-phase unbalanced condition in distribution systems. The serious unbalanced operation causes inefficient utilization of network assets and security risks in the system. Soft open point (SOP) is a flexible power electronic device which can achieve accurate active and reactive power flow control to balance the power flow among phases. This paper proposes an SOPs-based operation strategy for unbalanced active distribution networks (ADNs). By regulating the operation of SOPs, the strategy can reduce power losses and simultaneously mitigate the three-phase unbalance of the upper-level grid. Semidefinite programming (SDP) relaxation is advocated to convert the original non-convex, nonlinear optimization model into an SDP formulation, which can be efficiently solved to meet the requirement of rapid adjustment. Case studies are conducted on the modified IEEE 33-node and IEEE 123-node distribution system to verify the effectiveness and efficiency of the proposed strategy.

Authors:
ORCiD logo; ORCiD logo; ORCiD logo; ; ; ; ORCiD logo
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1492510
Report Number(s):
NREL/JA-5D00-68305
Journal ID: ISSN 1949-3053
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Journal Article
Journal Name:
IEEE Transactions on Smart Grid
Additional Journal Information:
Journal Volume: 10; Journal Issue: 1; Journal ID: ISSN 1949-3053
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; active distribution network; distributed generator; soft open point; unbalanced operation; semidefinite programming

Citation Formats

Li, Peng, Ji, Haoran, Wang, Chengshan, Zhao, Jinli, Song, Guanyu, Ding, Fei, and Wu, Jianzhong. Optimal Operation of Soft Open Points in Active Distribution Networks Under Three-Phase Unbalanced Conditions. United States: N. p., 2019. Web. doi:10.1109/TSG.2017.2739999.
Li, Peng, Ji, Haoran, Wang, Chengshan, Zhao, Jinli, Song, Guanyu, Ding, Fei, & Wu, Jianzhong. Optimal Operation of Soft Open Points in Active Distribution Networks Under Three-Phase Unbalanced Conditions. United States. doi:10.1109/TSG.2017.2739999.
Li, Peng, Ji, Haoran, Wang, Chengshan, Zhao, Jinli, Song, Guanyu, Ding, Fei, and Wu, Jianzhong. Tue . "Optimal Operation of Soft Open Points in Active Distribution Networks Under Three-Phase Unbalanced Conditions". United States. doi:10.1109/TSG.2017.2739999.
@article{osti_1492510,
title = {Optimal Operation of Soft Open Points in Active Distribution Networks Under Three-Phase Unbalanced Conditions},
author = {Li, Peng and Ji, Haoran and Wang, Chengshan and Zhao, Jinli and Song, Guanyu and Ding, Fei and Wu, Jianzhong},
abstractNote = {The asymmetric integration of distributed generators (DGs) exacerbates the three-phase unbalanced condition in distribution systems. The serious unbalanced operation causes inefficient utilization of network assets and security risks in the system. Soft open point (SOP) is a flexible power electronic device which can achieve accurate active and reactive power flow control to balance the power flow among phases. This paper proposes an SOPs-based operation strategy for unbalanced active distribution networks (ADNs). By regulating the operation of SOPs, the strategy can reduce power losses and simultaneously mitigate the three-phase unbalance of the upper-level grid. Semidefinite programming (SDP) relaxation is advocated to convert the original non-convex, nonlinear optimization model into an SDP formulation, which can be efficiently solved to meet the requirement of rapid adjustment. Case studies are conducted on the modified IEEE 33-node and IEEE 123-node distribution system to verify the effectiveness and efficiency of the proposed strategy.},
doi = {10.1109/TSG.2017.2739999},
journal = {IEEE Transactions on Smart Grid},
issn = {1949-3053},
number = 1,
volume = 10,
place = {United States},
year = {2019},
month = {1}
}