Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering

Distributed Generation planning Research based on Timing Characteristics

Authors
Haifeng Su, MengJin Hu, Zhirui Liang
Corresponding Author
Haifeng Su
Available Online November 2015.
DOI
10.2991/iccmcee-15.2015.208How to use a DOI?
Keywords
distributed generation, capacity determination, particle swarm optimization algorithm.
Abstract

In this paper, considering the load, wind power and photo voltaic timing characteristics, stablishes a planning model containing distributed power energy storage device. In the planning model, the minimization of the total cost including the initial investment, fuel costs, net loss costs, environmental damage costs, operation and maintenance costs and power purchase costs. To improve the acceptance ability of the distribution network, and to ensure the economy. Then, using the particle swarm optimization algorithm to solve a typical example, to show that the model and the proposed method is correct and effective.

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 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering
Series
Advances in Engineering Research
Publication Date
November 2015
ISBN
978-94-6252-110-0
ISSN
2352-5401
DOI
10.2991/iccmcee-15.2015.208How 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  - Haifeng Su
AU  - MengJin Hu
AU  - Zhirui Liang
PY  - 2015/11
DA  - 2015/11
TI  - Distributed Generation planning Research based on Timing Characteristics
BT  - Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 1101
EP  - 1105
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccmcee-15.2015.208
DO  - 10.2991/iccmcee-15.2015.208
ID  - Su2015/11
ER  -