Dynamic Reactive Power Optimization Based on Genetic Algorithms in Power Systems
Ming Zhu, Zhida Xu, Xuebin Li, Chengming Jin
Available Online March 2014.
- https://doi.org/10.2991/mce-14.2014.152How to use a DOI?
- power systems; genetic algorithm; dynamic reactive power optimization; IEEE 30-bus system
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14) PB - Atlantis Press SP - 679 EP - 682 SN - 1951-6851 UR - https://doi.org/10.2991/mce-14.2014.152 DO - https://doi.org/10.2991/mce-14.2014.152 ID - Zhu2014/03 ER -