Proceedings of the 2015 International Conference on Computational Science and Engineering

Research on Maximum Penetration of Microgrid Based on Artificial Bee Colony Algorithm

Authors
Xin-Hua Yang, Zhi-Wei Liu, Li-Zhen Wu
Corresponding Author
Xin-Hua Yang
Available Online July 2015.
DOI
10.2991/iccse-15.2015.2How to use a DOI?
Keywords
Microgrid Grid-connection, Penetration, Artificial Bee Colony Algorithm, Placement and Sizing
Abstract

The paper builds a planning model with maximizing the penetration of microgrid as its aim to realize the maximum output of microgrid based on the planning problem of microgrid grid-connection in distribution network. Considering the impact of microgrid grid-connection on distribution network, power flow, power balance, bus voltage are taken as the constraint conditions. Optimal scheme of microgrid grid-connection is acquired by the application of Artificial Bee Colony algorithm and the results of simulation calculation using IEEE 39-bus test system verify the validity of the built model and better convergence of the adopted algorithm.

Copyright
© 2015, 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 2015 International Conference on Computational Science and Engineering
Series
Advances in Computer Science Research
Publication Date
July 2015
ISBN
978-94-62520-89-9
ISSN
2352-538X
DOI
10.2991/iccse-15.2015.2How to use a DOI?
Copyright
© 2015, 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  - Xin-Hua Yang
AU  - Zhi-Wei Liu
AU  - Li-Zhen Wu
PY  - 2015/07
DA  - 2015/07
TI  - Research on Maximum Penetration of Microgrid Based on Artificial Bee Colony Algorithm
BT  - Proceedings of the 2015 International Conference on Computational Science and Engineering
PB  - Atlantis Press
SP  - 7
EP  - 11
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-15.2015.2
DO  - 10.2991/iccse-15.2015.2
ID  - Yang2015/07
ER  -