Wei Zhang1, Weifeng Shi2, Bing Sun3
Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 423-431, 2019, DOI: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. More >
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