Harmonic Elimination of Cascade Multilevel Inverters with Nonequal DC Sources Using Particle Swarm Optimization

By H. Taghizadeh, Mehrdad Tarafdar Hagh. IEEE transactions on industrial electronics (1982. Print), 2010

336 citations recorded by the source corpus.

In this paper, the elimination of harmonics in a cascade multilevel inverter by considering the nonequality of separated dc sources by using particle swarm optimization is presented. Solving a nonlinear transcendental equation set describing the harmonic-elimination problem with nonequal dc sources reaches the limitation of contemporary computer algebra software tools using the resultant method. The proposed approach in this paper can be applied to solve the problem in a simpler manner, even when the number of switching angles is increased and the determination of these angles using the resultant theory approach is not possible. Theoretical results are verified by experiments and simulations for an 11-level H-bridge inverter. Results show that the proposed method does effectively eliminate a great number of specific harmonics, and the output voltage is resulted in low total harmonic distortion.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/a56dac3fed528e5328e46550e9b035f860b3f99a

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In Control and Systems Engineering

1. Huai Wang
2. Shuai Zhao
3. Kehu Yang
4. Frede Blaabjerg
5. Xin Tang
6. Jin Wang
7. Qi Zhang
8. Ruyi Yuan

In Electrical and Electronic Engineering

1. Huai Wang
2. Frede Blaabjerg
3. Kehu Yang
4. Xin Tang
5. Qi Zhang
6. X. Lan
7. Shuai Zhao
8. Qiang Guan

Citations in the corpus

• A Groebner Bases Theory-Based Method for Selective Harmonic Elimination (2015, methodology): “In [17], the particle swarm optimization algorithm is used to eliminate the harmonics in a cascade multilevel inverter with unbalanced dc sources, and the”
• Selective Harmonic Elimination With Groebner Bases and Symmetric Polynomials (2016, background): “[14] and the evolutionary algorithm [15], [16] are the typical random searching methods.”
• An Overview of Artificial Intelligence Applications for Power Electronics (2020, methodology): “Populationbased method Particle swarm optimization (PSO) + +++ + Yes Design [45], [48], [49], Control [50]–[56], Maintenance [57], [58].”
• Unified Selective Harmonic Elimination for Multilevel Converters (2017, methodology): “gorithm [31]–[33], the particle swarm optimization algorithm [34], the bee algorithm [35], etc.”
• Unified Selective Harmonic Elimination for Cascaded H-Bridge Asymmetric Multilevel Inverter (2018, methodology): “For the intelligent algorithms [21], such as the genetic algorithm [22], the particle swarm optimization [23], [24], the bee algorithm [25], the differential evolution [26], and so on, although the initial values are not necessary, their solving procedures are greatly stochastic and cannot be guaran”