Proceedings of the 2016 International Conference on Engineering Science and Management

Distribution Network Reconfiguration Approach of Avoiding Infeasible Solutions

Authors
Juan Wen, Yanghong Tan
Corresponding Author
Juan Wen
Available Online August 2016.
DOI
10.2991/esm-16.2016.7How to use a DOI?
Keywords
Distribution network reconfiguration, breaking up the whole into parts strategy, improved particle swarm optimization
Abstract

A novel distribution network reconfiguration approach of avoiding infeasible solutions is proposed based on breaking up the whole into parts strategy. In which, the solution space is divided into several subspaces which eliminate the unfeasible trial candidates and reduce search space. An improved quantum particle optimization algorithm is applied in each subspace solution to search a good solution set. Then the coordination agent would select a solution from each subspace solution set, and coordinate them until all the operational constraints are satisfied. To validate the proposed reconfiguration approach, computer simulations are conducted on distribution systems. The obtained results are compared with other methods available in the previous works.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Engineering Science and Management
Series
Advances in Engineering Research
Publication Date
August 2016
ISBN
978-94-6252-218-3
ISSN
2352-5401
DOI
10.2991/esm-16.2016.7How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Juan Wen
AU  - Yanghong Tan
PY  - 2016/08
DA  - 2016/08
TI  - Distribution Network Reconfiguration Approach of Avoiding Infeasible Solutions
BT  - Proceedings of the 2016 International Conference on Engineering Science and Management
PB  - Atlantis Press
SP  - 26
EP  - 29
SN  - 2352-5401
UR  - https://doi.org/10.2991/esm-16.2016.7
DO  - 10.2991/esm-16.2016.7
ID  - Wen2016/08
ER  -