Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference

Optimal Allocation of the Distributed Generations using AMPSO

Authors
Ya-fang Wang, Tao Wang, Xiao Ren
Corresponding Author
Ya-fang Wang
Available Online March 2015.
DOI
10.2991/iiicec-15.2015.74How to use a DOI?
Keywords
DG; optimal allocation; AMPSO; fuzzy set theory
Abstract

This paper presented an application of Adaptive Mutation Particle Swarm Optimization (AMPSO) in optimal allocation of Distributed Generation (DG) in distribution power networks. The multiple-objective function to be optimized included two objectives: real power loss and total voltage deviation. Through fuzzy set theory, the multiple-objective optimization problem had been transformed to single objective comprehensive optimization with membership degree. This method was tested on standard IEEE 33 bus using MATLAB 2010. The results showed that the proposed method was accurate and fast.

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 Industrial Informatics and Computer Engineering Conference
Series
Advances in Computer Science Research
Publication Date
March 2015
ISBN
978-94-62520-54-7
ISSN
2352-538X
DOI
10.2991/iiicec-15.2015.74How 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  - Ya-fang Wang
AU  - Tao Wang
AU  - Xiao Ren
PY  - 2015/03
DA  - 2015/03
TI  - Optimal Allocation of the Distributed Generations using AMPSO
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 323
EP  - 326
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.74
DO  - 10.2991/iiicec-15.2015.74
ID  - Wang2015/03
ER  -