Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics

Application Analysis on the Power Distribution Network Three-phase Power Flow Based on Hybrid Particle Swarm Algorithm

Authors
Yijun Wang
Corresponding Author
Yijun Wang
Available Online June 2015.
DOI
10.2991/icecee-15.2015.50How to use a DOI?
Keywords
Distribution network; Particle swarm algorithm; Power flow; Network model.
Abstract

According to the structure characteristics of distribution network, this paper proposes a hybrid algorithm based on particle swarm optimization to process the calculation problem of three-phase power flow in less loop distribution network. Through the MATLAB simulation data, it can be seen clearly that the algorithm not only controls the iterations number of the linear equation in the calculation, but also reduces the power consumption in the distribution system, which can greatly shorten the calculation time to improve work efficiency, and also puts forward a new method for the power flow calculation in distribution network.

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 Electrical, Computer Engineering and Electronics
Series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
10.2991/icecee-15.2015.50
ISSN
2352-538X
DOI
10.2991/icecee-15.2015.50How 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  - Yijun Wang
PY  - 2015/06
DA  - 2015/06
TI  - Application Analysis on the Power Distribution Network Three-phase Power Flow Based on Hybrid Particle Swarm Algorithm
BT  - Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 224
EP  - 228
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.50
DO  - 10.2991/icecee-15.2015.50
ID  - Wang2015/06
ER  -