Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation

Reliability evaluation of distribution network based on improved non sequential Monte Carlo method

Authors
Jie Zhu, Chao Li, Aihong Tang
Corresponding Author
Jie Zhu
Available Online April 2015.
DOI
https://doi.org/10.2991/icmra-15.2015.105How to use a DOI?
Keywords
Reliability evaluation; Non sequential Monte Carlo sampling; Stratified sampling; Power system; Distribution network
Abstract
In this paper the idea of stratification is utilized to form a homogeneous-stratified sampling method, which can increase the efficient of power system random fault state evaluation. Applying this method for reliability evaluation only generates a small number of independent random numbers, it decrease the amount of calculation and increase the efficient. The improved non sequential Monte Carlo method is then demonstrated and implemented in the reliability evaluation of RBTS-BUS5 system case, illustrating this algorithm can be used in reliability evaluation of distribution network.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation
Series
Advances in Computer Science Research
Publication Date
April 2015
ISBN
978-94-62520-76-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmra-15.2015.105How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jie Zhu
AU  - Chao Li
AU  - Aihong Tang
PY  - 2015/04
DA  - 2015/04
TI  - Reliability evaluation of distribution network based on improved non sequential Monte Carlo method
BT  - Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation
PB  - Atlantis Press
SP  - 535
EP  - 540
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmra-15.2015.105
DO  - https://doi.org/10.2991/icmra-15.2015.105
ID  - Zhu2015/04
ER  -