Elimination of Harmonics in Multilevel Inverters Connected to Solar Photovoltaic Systems Using ANFIS: An Experimental Case Study

In this study, a multilevel inverter was designed and implemented to operate a stand-alone solar photovoltaicsystem. The proposed system uses pulse-width modulation (PWM) in the multilevel inverter to convert DC voltagefrom battery storage to supply AC loads. In the PWM method, the effectiveness of...

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Detalles Bibliográficos
Autores: R.Sumithira, T., Nirmal Kumar, A.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2013
País:México
Institución:UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO
Repositorio:Journal of Applied Research and Technology
Idioma:inglés
OAI Identifier:oai:ojs2.localhost:article/336
Acceso en línea:https://jart.icat.unam.mx/index.php/jart/article/view/336
Access Level:acceso abierto
Palabra clave:multilevel inverters
harmonic elimination
adaptive neuro-fuzzy inference system
Newton-Raphson method
genetic algorithm.
Descripción
Sumario:In this study, a multilevel inverter was designed and implemented to operate a stand-alone solar photovoltaicsystem. The proposed system uses pulse-width modulation (PWM) in the multilevel inverter to convert DC voltagefrom battery storage to supply AC loads. In the PWM method, the effectiveness of eliminating low-order harmonicsin the inverter output voltage is studied and compared to that of the sinusoidal PWM method. This work also usesadaptive neuro fuzzy inference (ANFIS) to predict the optimum modulation index and switch angles required for afive level cascaded H-bridge inverter with improved inverter output voltage. The data set for the ANFIS-basedanalysis was obtained with the Newton-Raphson (NR) method. The proposed predictive method is more convincingthan other techniques in providing all possible solutions with any random initial guess and for any number of levelsof a multilevel inverter. The simulation results prove that the lower-order harmonics are eliminated using theoptimum modulation index and switching angles. An experimental system was implemented to demonstrate theeffectiveness of the proposed system.