Application of Improved Adaptive Particle Swarm Optimization Algorithm in Reactive Power Optimization
Xiangdong Jiang, Ming Zhun, Zhendong Liu
Available Online March 2014.
- https://doi.org/10.2991/mce-14.2014.154How to use a DOI?
- particle swarm optimization; adaptive; reactive power; power system ; optimize accuracy
- In this paper, the Particle Swarm Optimization (PSO) algorithm converges too fast, easy access to local convergence, leading to convergence accuracy is not high, to study the particle swarm algorithm improvements. Some parameters in the traditional PSO algorithm need to be predefined by tests, so the practicability of algorithms is restricted. For this reason, an improved adaptive particle swarm optimization (IAPSO) algorithm is proposed and applied to reactive power optimization of Power system. The establishment of a comprehensive consideration of the practical constraints and reactive power regulation means no power optimization mathematical model proposed by improved adaptive particle swarm optimization algorithm for solving the problem of reactive power method to determine the optimal reactive power optimization program. According to PSO handling characteristics of the variable capacity, particle swarm optimization algorithm applied to a continuous emphases on control variables to optimize regulation, reactive power optimized for efficient operation provides a practical and reliable foundation.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xiangdong Jiang AU - Ming Zhun AU - Zhendong Liu PY - 2014/03 DA - 2014/03 TI - Application of Improved Adaptive Particle Swarm Optimization Algorithm in Reactive Power Optimization BT - 2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14) PB - Atlantis Press SP - 687 EP - 690 SN - 1951-6851 UR - https://doi.org/10.2991/mce-14.2014.154 DO - https://doi.org/10.2991/mce-14.2014.154 ID - Jiang2014/03 ER -