Proceedings of the 2018 7th International Conference on Energy and Environmental Protection (ICEEP 2018)

Research on Optimization of Distribution Automation Terminal

Authors
Hailong Wang, Zhimin Guo, Xinyi Zheng, Kun Yu
Corresponding Author
Hailong Wang
Available Online September 2018.
DOI
10.2991/iceep-18.2018.225How to use a DOI?
Keywords
distribution automation terminal, whole life cycle, cost-benefit, optimal configuration
Abstract

The mathematic model of distribution automation terminal configuration optimization is established based on the cost-benefit theory, taking the minimum area as the basic analysis unit, considering the balance of economy and reliability. The number and location of electrical distribu-tion automation terminals are optimized by genetic algorithm. Under analysis IEEE RBTS-BUS 2 system, the results show that the power outage time and loss are significantly reduced after configuration, and the effectiveness of the method is verified.

Copyright
© 2018, 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 2018 7th International Conference on Energy and Environmental Protection (ICEEP 2018)
Series
Advances in Engineering Research
Publication Date
September 2018
ISBN
978-94-6252-558-0
ISSN
2352-5401
DOI
10.2991/iceep-18.2018.225How to use a DOI?
Copyright
© 2018, 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  - Hailong Wang
AU  - Zhimin Guo
AU  - Xinyi Zheng
AU  - Kun Yu
PY  - 2018/09
DA  - 2018/09
TI  - Research on Optimization of Distribution Automation Terminal
BT  - Proceedings of the 2018 7th International Conference on Energy and Environmental Protection (ICEEP 2018)
PB  - Atlantis Press
SP  - 1280
EP  - 1286
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-18.2018.225
DO  - 10.2991/iceep-18.2018.225
ID  - Wang2018/09
ER  -