Open Access
ARTICLE
BDI Agent and QPSO-based Parameter Optimization for a Marine Generator Excitation Controller
Wei Zhang1, Weifeng Shi2, Bing Sun3
1 Department of Electrical Engineering and Automation, Shanghai Dianji University, Shanghai, 201306, China
2 Department of Electrical Engineering and Automation, Shanghai Maritime University, Shanghai, 201306, China
3 Laboratory of Underwater Vehicles and Intelligent Systems, Shanghai Maritime University, Shanghai, 201306, China
* Corresponding Author: Wei Zhang,
Intelligent Automation & Soft Computing 2019, 25(3), 423-431. https://doi.org/10.31209/2018.100000045
Abstract
An intelligent optimization algorithm for a marine generator excitation controller
is proposed to improve dynamic performance of shipboard power systems. This
algorithm combines a belief–desire–intention agent with a quantum-behaved
particle swarm optimization (QPSO) algorithm to optimize a marine generator
excitation controller. The shipboard zonal power system is simulated under
disturbance due to load change or severe fault. The results show that the
proposed optimization algorithm can improve marine generator stability
compared with conventional excitation controllers under various operating
conditions. Moreover, the proposed intelligent algorithm is highly robust because
its performance is insensitive to the accuracy of system parameters.
Keywords
Cite This Article
W. Zhang, W. Shi and B. Sun, "Bdi agent and qpso-based parameter optimization for a marine generator excitation controller,"
Intelligent Automation & Soft Computing, vol. 25, no.3, pp. 423–431, 2019.