Keywords
particle swarm optimization, bacteria foraging optimization, PSOABFO, load frequency control, parameter optimization
Abstract
The load frequency control plays an important role in ensuring the security and reliable operation of the power grid. The appropriate controller parameter setting ensures frequency stability and longterm security of power systems under various random disturbances. To achieve the optimal setting of load frequency controller of a singlearea twogenerator power grid, this paper proposes a controller parameter tuning method based on particle swarm optimization adaptive bacterial foraging optimization (PSOABFO), which is based on the standard BFO and combines the idea of PSO to introduce global optimization, individual optimization and adaptive step size, etc. The speed and accuracy of the proposed algorithm is significantly improved. A load frequency control system (LFC) model is established to test the performance of the proposed algorithm. The results verifies that the improvement of the dynamic performance of the system.
DOI
10.19781/j.issn.1673-9140.2021.06.014
First Page
120
Last Page
127
Recommended Citation
TIAN, Yuanyuan; JIN, Guoqiang; PENG, Daogang; HE, Jun; and SUN, Yuzhen
(2022)
"Design and optimization of load frequency control system controller based on PSOABFO,"
Journal of Electric Power Science and Technology: Vol. 36:
Iss.
6, Article 14.
DOI: 10.19781/j.issn.1673-9140.2021.06.014
Available at:
https://jepst.researchcommons.org/journal/vol36/iss6/14