Reliability evaluation of distribution network based on improved non sequential Monte Carlo method
Jie Zhu, Chao Li, Aihong Tang
Available Online April 2015.
- https://doi.org/10.2991/icmra-15.2015.105How to use a DOI?
- Reliability evaluation; Non sequential Monte Carlo sampling; Stratified sampling; Power system; Distribution network
- 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.
- 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 -