| Title |
Development of Optimal Operation Algorithm for Renewable Hybrid Power System Using HS-TLBO Based Fuzzy Controller |
| Authors |
장성대(Seong-Dae Jang) ; 지평식(Pyeong-Shik Ji) |
| DOI |
https://doi.org/10.5370/KIEEP.2019.68.3.128 |
| Keywords |
Harmonic Search; Teaching-Learning Based Optimization; Fuzzy logic controller; Renewable Power System |
| Abstract |
In this paper, we propose an optimal power control scheme for a stand alone hybrid power system based on an fuzzy controller.
The stand alone hybrid power system was constructed using wind power and solar power system as a renewable energy source, and a fuel cell system including a battery bank and a hydrogen tank was applied as a backup power source. The fuzzy controller was designed by HS-TLBO, which is a combination of Harmonic search (HS) technique and Teaching-Learning Based Optimization (TLBO) algorithm to optimize fuzzy rules. To evaluate the performance of the proposed algorithm and fuzzy logic controller, we modeled a stand alone hybrid power system using Matlab. Performance comparison and evaluation with classical optimization algorithms were also performed. Experimental results show that the proposed algorithm outperforms the existing algorithms |