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Title: Identification of Critical Switches for Integrating Renewable Distributed Generation by Dynamic Network Reconfiguration

Abstract

With growing penetration of renewable distributed generations (DGs) in distribution systems, effective integration of DGs has become a major concern. Distribution system dynamic reconfiguration (DSDR), which relies on real-time operations of remote-controlled switches, is potentially an efficient strategy receiving inadequate attention. Moreover, in most DSDR-related publications, normally all switches are assumed remotely controllable, which is not practical. Here we borrow the concept of critical switches to denote the switches that are most effective in accommodating DGs by DSDR. In this regard, the problem of identifying critical switches is not well investigated, although in several related publications, selected switches are assumed remote-controlled based on experience. In this work, we study the application of DSDR for DG integration. Critical switches, which optimally enable intra-day DSDR to minimize DG curtailments, are identified by limiting the number of switches to be operated and the switch-type-dependent operation constraints. Considering uncertainties of loads and DGs, the problem is formulated as a two-stage robust optimization model solved by a nested column-and-constraint generation algorithm. Illustrative cases show that DG curtailments can be significantly reduced by a small number of critical switches that operate only several times in intra-day DSDR. The proposed method can be used to provide insightsmore » for switch allocation, maintenance, and operation« less

Authors:
ORCiD logo; ORCiD logo; ;
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
National Natural Science Foundation of China (NNSFC); USDOE Office of Electricity Delivery and Energy Reliability - Advanced Grid Research and Development
OSTI Identifier:
1480432
DOE Contract Number:  
AC02-06CH11357
Resource Type:
Journal Article
Journal Name:
IEEE Transactions on Sustainable Energy
Additional Journal Information:
Journal Volume: 9; Journal Issue: 1; Journal ID: ISSN 1949-3029
Publisher:
IEEE
Country of Publication:
United States
Language:
English

Citation Formats

Lei, Shunbo, Hou, Yunhe, Qiu, Feng, and Yan, Jie. Identification of Critical Switches for Integrating Renewable Distributed Generation by Dynamic Network Reconfiguration. United States: N. p., 2018. Web. doi:10.1109/TSTE.2017.2738014.
Lei, Shunbo, Hou, Yunhe, Qiu, Feng, & Yan, Jie. Identification of Critical Switches for Integrating Renewable Distributed Generation by Dynamic Network Reconfiguration. United States. doi:10.1109/TSTE.2017.2738014.
Lei, Shunbo, Hou, Yunhe, Qiu, Feng, and Yan, Jie. Mon . "Identification of Critical Switches for Integrating Renewable Distributed Generation by Dynamic Network Reconfiguration". United States. doi:10.1109/TSTE.2017.2738014.
@article{osti_1480432,
title = {Identification of Critical Switches for Integrating Renewable Distributed Generation by Dynamic Network Reconfiguration},
author = {Lei, Shunbo and Hou, Yunhe and Qiu, Feng and Yan, Jie},
abstractNote = {With growing penetration of renewable distributed generations (DGs) in distribution systems, effective integration of DGs has become a major concern. Distribution system dynamic reconfiguration (DSDR), which relies on real-time operations of remote-controlled switches, is potentially an efficient strategy receiving inadequate attention. Moreover, in most DSDR-related publications, normally all switches are assumed remotely controllable, which is not practical. Here we borrow the concept of critical switches to denote the switches that are most effective in accommodating DGs by DSDR. In this regard, the problem of identifying critical switches is not well investigated, although in several related publications, selected switches are assumed remote-controlled based on experience. In this work, we study the application of DSDR for DG integration. Critical switches, which optimally enable intra-day DSDR to minimize DG curtailments, are identified by limiting the number of switches to be operated and the switch-type-dependent operation constraints. Considering uncertainties of loads and DGs, the problem is formulated as a two-stage robust optimization model solved by a nested column-and-constraint generation algorithm. Illustrative cases show that DG curtailments can be significantly reduced by a small number of critical switches that operate only several times in intra-day DSDR. The proposed method can be used to provide insights for switch allocation, maintenance, and operation},
doi = {10.1109/TSTE.2017.2738014},
journal = {IEEE Transactions on Sustainable Energy},
issn = {1949-3029},
number = 1,
volume = 9,
place = {United States},
year = {2018},
month = {1}
}