Dynamic Reactive Power Optimization Based on Genetic Algorithms in Power Systems

DOI

10.2991/mce-14.2014.152How to use a DOI?

Keywords

power systems; genetic algorithm; dynamic reactive power optimization; IEEE 30-bus system

Abstract

The genetic algorithm is applied to reactive power optimization. The establishment of a genetic algorithm for reactive power optimization model based clustering algorithm for the day through the system load curve cluster sub-period, and in the establishment of dynamic reactive power optimization model type variety, based on the use of genetic algorithms in all the major periods of discrete control variables to optimize the adjustment. It successfully resolves the problem of reactive power optimization of discrete variable and avoids the problem of local optimum conventional mathematical optimization methods. In the meantime, the optimization given for reactive power optimization provides a new algorithm this algorithm, which has been used in IEEE 30-bus system to improve the voltage quality of the network and reduce system power loss. Furthermore, it enhances the security, stability and economy of the entire grid, and achieves good results.

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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TY  - CONF
AU  - Ming Zhu
AU  - Zhida Xu
AU  - Xuebin Li
AU  - Chengming Jin
PY  - 2014/03
DA  - 2014/03
TI  - Dynamic Reactive Power Optimization Based on Genetic Algorithms in Power Systems
BT  - Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 679
EP  - 682
SN  - 1951-6851
UR  - https://doi.org/10.2991/mce-14.2014.152
DO  - 10.2991/mce-14.2014.152
ID  - Zhu2014/03
ER  -