Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering

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Application of Improved Adaptive Particle Swarm Optimization Algorithm in Reactive Power Optimization

Authors
Xiangdong Jiang, Ming Zhun, Zhendong Liu
Corresponding Author
Xiangdong Jiang
Available Online March 2014.
DOI
10.2991/mce-14.2014.154How to use a DOI?
Keywords
particle swarm optimization; adaptive; reactive power; power system; optimize accuracy
Abstract

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.

Copyright
© 2014, 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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Volume Title
Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering
Series
Advances in Intelligent Systems Research
Publication Date
March 2014
ISBN
978-94-62520-31-8
ISSN
1951-6851
DOI
10.2991/mce-14.2014.154How to use a DOI?
Copyright
© 2014, 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

risenwbib
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  - Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 687
EP  - 690
SN  - 1951-6851
UR  - https://doi.org/10.2991/mce-14.2014.154
DO  - 10.2991/mce-14.2014.154
ID  - Jiang2014/03
ER  -