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

DOI

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.

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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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  - 10.2991/icmra-15.2015.105
ID  - Zhu2015/04
ER  -