DocumentCode :
601838
Title :
A variable switching frequency algorithm to improve the total efficiency of single-phase grid-connected inverters
Author :
Bo Cao ; Liuchen Chang
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of New Brunswick, Fredericton, NB, Canada
fYear :
2013
fDate :
17-21 March 2013
Firstpage :
2310
Lastpage :
2315
Abstract :
The selection of an optimal switching frequency of pulse width modulation (PWM) for single-phase inverters is one of the most effective ways to improve the inverters´ efficiency. However, the lower switching frequency results in the higher harmonic voltage and current. For grid- connected inverters, the harmonic current distortion is significantly affected by the switching frequency. Therefore, the choice of switching frequency is usually considered as a tradeoff between lowering the total demand distortion (TDD) of output current and reducing the switching losses. In this paper, a variable switching frequency algorithm that changes the carrier frequency of a modified space vector pulse width modulation (SVPWM) control in real time based on different operating conditions is developed to improve the overall efficiency of the inverter while meeting a TDD requirement specified in IEEE Standard 1547. The performance of the proposed algorithm is verified by both Matlab-based simulation and experiments conducted on a 12kw single-phase inverter.
Keywords :
IEEE standards; PWM invertors; distortion; power grids; IEEE Standard 1547; Matlab-based simulation; PWM; SVPWM; TDD; grid-connected inverters; harmonic current; harmonic current distortion; harmonic voltage; modified space vector pulse width modulation; optimal switching frequency; power 12 kW; pulse width modulation; single-phase grid-connected inverters; single-phase inverter; switching frequency; total demand distortion; variable switching frequency algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Power Electronics Conference and Exposition (APEC), 2013 Twenty-Eighth Annual IEEE
Conference_Location :
Long Beach, CA
ISSN :
1048-2334
Print_ISBN :
978-1-4673-4354-1
Electronic_ISBN :
1048-2334
Type :
conf
DOI :
10.1109/APEC.2013.6520617
Filename :
6520617
Link To Document :
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