Abstract
The traditional intelligent algorithms for the selected harmonic elimination pulse-width modulation (SHEPWM) of multilevel converters provide low convergent rate and low accuracy of solutions when solving quarter-wave symmetry nonlinear equations. To obviate this problem and obtain a better modulating performance, an improved imperialist competition algorithm is proposed. The proposed algorithm enhances the global search ability by using moving imperialists. Also, a novel type of particles, named independent countries, are proposed to help the algorithm jump out of the local optimum. These independent countries change their positions using swarm intelligence. Compared with the existing particle swarm algorithm and genetic algorithm, the proposed algorithm has significant advantages by improving the accuracy of solutions and the rate of convergence. Finally, the correctness and effectiveness of the proposed algorithm are verified and evaluated by simulation and experimental results.
Highlights
Multilevel converters have been widely applied in high-voltage and high-power applications because of their advantages of effectively improving the quality of output voltage waveform, large output capacity, and high inverting efficiency [1,2]
An improved imperialist competitive algorithm (ICA) algorithm named PSOICA has been proposed for solving the multilevel selective harmonic elimination pulse-width modulation (SHEPWM)
Two starting points were followed for designing the PSOICA: one was to increase the diversity and movements of the imperialists, the other was to enhance the ability to jump out of the local optimal
Summary
Multilevel converters have been widely applied in high-voltage and high-power applications because of their advantages of effectively improving the quality of output voltage waveform, large output capacity, and high inverting efficiency [1,2]. They have been employed for many industrial applications, such as electrical motor drives [3], energy storage systems [4], and renewable power generators [5]. It was verified that SHEPWM could be implemented with the objective of minimizing total harmonic distortion (THD) [8]
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