TY - JOUR
T1 - Evaluation of Annual Energy Loss Reduction Based on Reconfiguration Scheduling
AU - Takenobu, Yuji
AU - Yasuda, Norihito
AU - Kawano, Shunsuke
AU - Minato, Shin Ichi
AU - Hayashi, Yasuhiro
N1 - Funding Information:
This work was supported by Core Research for Evolutional Science and Technology (CREST) and Exploratory Research for Advanced Technology (ERATO) of Japan Science and Technology Agency (JST). Y. Takenobu and S. Kawano received financial support from the Leading Graduate Program in Science and Engineering, Waseda University from Ministry of Education, Culture, Sports, Science and Technology, Japan.
Funding Information:
44 10.1109/TSG.2016.2604922 0b000064856b8436 Active orig-research T T F F F F F Publish 3 OAPA 1949-3053 © 2016 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. In distribution network management, switch reconfiguration is an important tool for reducing energy loss. Recently, a variety of annual reconfiguration planning methods considering energy loss have been studied. However, no conventional methods address the reconfiguration periods in fine granularity. Practically, switch durability does not support high-frequency switching. Therefore, this paper proposes a new optimization method for annual reconfiguration scheduling. This method determines switch configurations and their reconfiguration periods with a constraint on the permissible reconfiguration times. In addition, this paper reveals the annual energy loss reduction effect of this optimization. Our method is based on partial network optimization with exhaustive enumeration of all feasible configurations. Experiments were conducted using a standard Japanese distribution network model with 468 switches. The results show that optimizing the reconfiguration periods reduces energy loss by up to 2.1 times, relative to that in a simulated conventional operation, which considers reconfiguration at equal intervals. We believe that this is the first quantitative report to address the difference between optimal reconfiguration scheduling and conventional reconfiguration. 0 0000-0002-1626-9851 Takenobu, Y. Yuji Takenobu Yuji Yuji Takenobu Takenobu Graduate School of Advanced Science and Engineering, Waseda University, Tokyo, Japan Author nobutakeyuji@akane.waseda.jp 0 Yasuda, N. Norihito Yasuda Norihito Norihito Yasuda Yasuda Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan Author 0 Kawano, S. Shunsuke Kawano Shunsuke Shunsuke Kawano Kawano Graduate School of Advanced Science and Engineering, Waseda University, Tokyo, Japan Author 0 Minato, S. Shin-Ichi Minato Shin-Ichi Shin-Ichi Minato Minato Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan Author 0 0000-0002-4009-4430 Hayashi, Y. Yasuhiro Hayashi Yasuhiro Yasuhiro Hayashi Hayashi Graduate School of Advanced Science and Engineering, Waseda University, Tokyo, Japan Author 2018 May 2016 9 2 2018 4 18 1821549 07559803.pdf 1-1 7559803 Switches Energy loss Minimization Planning Binary decision diagrams Optimization methods Distribution network energy loss network reconfiguration zero-suppressed binary decision diagram (ZDD) Core Research for Evolutional Science and Technology 10.13039/501100003382 Exploratory Research for Advanced Technology of Japan Science and Technology Agency 10.13039/501100002241 Leading Graduate Program in Science and Engineering, Waseda University through the Japan Society for the Promotion of Science, Ministry of Education, Culture, Sports, Science and Technology, Japan 10.13039/501100004423
Publisher Copyright:
© 2016 IEEE.
PY - 2018/5
Y1 - 2018/5
N2 - In distribution network management, switch reconfiguration is an important tool for reducing energy loss. Recently, a variety of annual reconfiguration planning methods considering energy loss have been studied. However, no conventional methods address the reconfiguration periods in fine granularity. Practically, switch durability does not support high-frequency switching. Therefore, this paper proposes a new optimization method for annual reconfiguration scheduling. This method determines switch configurations and their reconfiguration periods with a constraint on the permissible reconfiguration times. In addition, this paper reveals the annual energy loss reduction effect of this optimization. Our method is based on partial network optimization with exhaustive enumeration of all feasible configurations. Experiments were conducted using a standard Japanese distribution network model with 468 switches. The results show that optimizing the reconfiguration periods reduces energy loss by up to 2.1 times, relative to that in a simulated conventional operation, which considers reconfiguration at equal intervals. We believe that this is the first quantitative report to address the difference between optimal reconfiguration scheduling and conventional reconfiguration.
AB - In distribution network management, switch reconfiguration is an important tool for reducing energy loss. Recently, a variety of annual reconfiguration planning methods considering energy loss have been studied. However, no conventional methods address the reconfiguration periods in fine granularity. Practically, switch durability does not support high-frequency switching. Therefore, this paper proposes a new optimization method for annual reconfiguration scheduling. This method determines switch configurations and their reconfiguration periods with a constraint on the permissible reconfiguration times. In addition, this paper reveals the annual energy loss reduction effect of this optimization. Our method is based on partial network optimization with exhaustive enumeration of all feasible configurations. Experiments were conducted using a standard Japanese distribution network model with 468 switches. The results show that optimizing the reconfiguration periods reduces energy loss by up to 2.1 times, relative to that in a simulated conventional operation, which considers reconfiguration at equal intervals. We believe that this is the first quantitative report to address the difference between optimal reconfiguration scheduling and conventional reconfiguration.
KW - Distribution network
KW - energy loss
KW - network reconfiguration
KW - zero-suppressed binary decision diagram (ZDD)
UR - http://www.scopus.com/inward/record.url?scp=85027072155&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85027072155&partnerID=8YFLogxK
U2 - 10.1109/TSG.2016.2604922
DO - 10.1109/TSG.2016.2604922
M3 - Article
AN - SCOPUS:85027072155
SN - 1949-3053
VL - 9
SP - 1
EP - 11
JO - IEEE Transactions on Smart Grid
JF - IEEE Transactions on Smart Grid
IS - 3
ER -