Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science

Reactive Power Optimization of Distribution Network with Distributed Generators

Authors
Dongxin Chen, Shuangyin Dai, Huitan Shi, Chaofeng Wei
Corresponding Author
Dongxin Chen
Available Online June 2016.
DOI
10.2991/icamcs-16.2016.72How to use a DOI?
Keywords
Distributed generators(DGs),sensitivity analysis,reactive power,bacteria colony optimization algorithm, distribution network
Abstract

Reactive power optimization of distribution network is necessary,because optimize configuration of distributed generators can effectively reduce power loss.A new method was proposed in this paper.Firstly, installation points of distributed power were found with the means of power grid loss sensitivity. On this basis, the bacteria colony optimization algorithm was used in the solution of reactive power optimization problem containing distributed generators of the distribution network.Finally, the simulation result was compared with the improved particle swarm and genetic algorithm, and verified the proposed algorithm has good practicability and adaptability with an example.

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 5th International Conference on Advanced Materials and Computer Science
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
10.2991/icamcs-16.2016.72
ISSN
2352-5401
DOI
10.2991/icamcs-16.2016.72How 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  - Dongxin Chen
AU  - Shuangyin Dai
AU  - Huitan Shi
AU  - Chaofeng Wei
PY  - 2016/06
DA  - 2016/06
TI  - Reactive Power Optimization of Distribution Network with Distributed Generators
BT  - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
PB  - Atlantis Press
SP  - 339
EP  - 344
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamcs-16.2016.72
DO  - 10.2991/icamcs-16.2016.72
ID  - Chen2016/06
ER  -