4.4 Article

Fundamental frequency switching strategy for grid-connected cascaded H-bridge multilevel inverter to mitigate voltage harmonics at the point of common coupling

Journal

IET POWER ELECTRONICS
Volume 9, Issue 12, Pages 2387-2393

Publisher

INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-pel.2015.0970

Keywords

invertors; distributed power generation; reactive power; genetic algorithms; fundamental frequency switching strategy; grid-connected cascaded H-bridge multilevel inverter; voltage harmonics; point of common coupling; isolated dc sources; distributed generation sources; interface inverter; reactive power exchange; voltage quality; coupling impedance; genetic algorithm optimisation; modified switching method

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Cascaded H-bridge multilevel inverter with isolated dc sources is a suitable choice as an interface between grid and distributed generation (DG) sources. The main duty of the interface inverter is to adapt voltage of the grid and DG source while active and reactive power exchange is also controlled by it. Conventional fundamental frequency switching methods have been studied so far only for quality improvement of the inverter output voltage. However, for the grid-connected applications, voltage quality at the point of common coupling (PCC) is more important than the inverter output voltage. This study presents a modified harmonic mitigation fundamental frequency switching method for the grid-connected cascaded H-bridge multilevel inverters. The goal is to calculate optimum switching angles of the inverter which satisfy the standard limits for the total harmonic distortion and harmonic contents of the voltage waveform at PCC considering specifications of the grid. This is also to be achieved with minimum required amount of the coupling impedance. Genetic algorithm optimisation program based on the modified switching method is employed for a sample system including a three-phase cascaded H-bridge seven-level inverter connected to a harmonic polluted grid. Computer simulation using Simulink/MATLAB is performed, the results of which confirm effectiveness of the proposed method.

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