基于改進(jìn)人工魚群算法的特定諧波消除策略研究
[Abstract]:With the rapid development of power electronic technology, inverter system has been widely used in the fields of high-power traction, AC / DC speed regulation, uninterruptible power supply, solar photovoltaic power generation and so on. Because of the limitation of PWM modulation mode, the problem of harmonic pollution is caused, especially in the field of switching loss, electromagnetic compatibility and waveform quality. How to reduce the harmonic content of inverter output has become the main research topic of scholars. Based on the research of various modulation strategies, this paper makes a deep research on the specific harmonic elimination modulation strategy which has better harmonic suppression effect. The difficulty of realizing the special harmonic elimination and modulation strategy lies in the solution of the specific harmonic elimination equations. At present, the main methods are traditional numerical method and intelligent algorithm. The traditional numerical method depends on the proper selection of initial value in the process of solution. Intelligent algorithm such as genetic algorithm, differential evolution algorithm is easy to fall into the local extremum, which affects the accuracy of the solution. In order to solve the above problems, the artificial fish swarm algorithm is proposed to solve the specific harmonic elimination equations, and the process of solving the specific harmonic elimination problem by artificial fish swarm algorithm is described in detail. In view of the lack of contact between artificial fish groups beyond the limits of horizon, the difference mutation operator is introduced to improve the artificial fish swarm algorithm. In view of the characteristics of the artificial fish swarm algorithm with many parameters, the moving step size and the visual domain range of the artificial fish swarm algorithm are discussed. The effects of crowding factor and differential mutation operator are analyzed in detail. Finally, the results of the improved artificial fish swarm algorithm are simulated and tested. By comparing the improved artificial fish swarm algorithm with other intelligent algorithms, it is shown that the improved artificial fish swarm algorithm has certain advantages in solving harmonic elimination problems, and the improved artificial fish swarm algorithm is applied to solve different switching angles. The switching angle can be used to build a special harmonic elimination simulation model. On the one hand, it can effectively control the amplitude of the fundamental wave according to the modulation system, on the other hand, it can effectively eliminate the harmonics of the specified frequency. Through the analysis of the parameters of the improved artificial fish swarm algorithm, the optimal moving step size, visual domain and differential mutation strategy are selected as the solution parameters. Finally, the effect of the special harmonic elimination modulation strategy based on the improved artificial fish swarm algorithm with different frequency and number of switching angles is verified on a two-level inverter power system.
【學(xué)位授予單位】:天津大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TM714.3;TP18
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