Research and Strengthening of Sensitive Power Grid
- 10.2991/amcce-17.2017.148How to use a DOI?
- Algorithm; Converge rate; Leader
Based on distributed algorithm, in order to make it more effective, we hope to optimize certain steps of the algorithm by the introduction of PSO. PSO is one of the swarm intelligence algorithm that has been developed in recent years aiming at multi-objective optimization, which based on the hypothesis that every particle in the swarm could acquire information from its or other particle's origin experiences. PSO possess high rate of convergence, and few parameters are required. When it applied to the decision of the leader in distributed algorithm, we hope to find one or severe proper leaders more quickly. The introduction of PSO under this circumstance will make the task easy to complete, therefore enhance the effective of distributed algorithm. The paper contains the principle and mathematical formulation of standardized PSO, and present program of PSO when applying to distributed algorithm for the sake of algorithm's nature testing.
- © 2017, 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 - Tianqi Lu AU - Dongwei Wang AU - Ran Liu AU - Jiye Yang AU - Xun Gao AU - Youyin Wang AU - XiangLin Li AU - Tao Liu AU - Song Ju PY - 2017/03 DA - 2017/03 TI - Research and Strengthening of Sensitive Power Grid BT - Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017) PB - Atlantis Press SP - 837 EP - 841 SN - 2352-5401 UR - https://doi.org/10.2991/amcce-17.2017.148 DO - 10.2991/amcce-17.2017.148 ID - Lu2017/03 ER -