Quasi-Z-source inverter-based photovoltaic generation system with maximum power tracking control using ANFIS

Haitham Abu-Rub; Atif Iqbal; Sk Moin Ahmed; Fang Z. Peng; Yuan Li; Ge Baoming

doi:10.1109/TSTE.2012.2196059

Quasi-Z-source inverter-based photovoltaic generation system with maximum power tracking control using ANFIS

Haitham Abu-Rub^*, Atif Iqbal, Sk Moin Ahmed, Fang Z. Peng, Yuan Li, Ge Baoming

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

230 Citations (Scopus)

Abstract

The paper proposes an artificial-intelligence-based solution to interface and deliver maximum power from a photovoltaic (PV) power generating system in standalone operation. The interface between the PV dc source and the load is accomplished by a quasi-Z-source inverter (qZSI). The maximum power delivery to the load is ensured by an adaptive neuro-fuzzy inference system (ANFIS) based on maximum power point tracking (MPPT). The proposed ANFIS-based MPPT offers an extremely fast dynamic response with high accuracy. The closed-loop control of the qZSI regulates the shoot through duty ratio and the modulation index to effectively control the injected power and maintain the stringent voltage, current, and frequency conditions. The proposed technique is tested for isolated load conditions. Simulation and experimental approaches are used to validate the proposed scheme.

Original language	English
Article number	6205354
Pages (from-to)	11-20
Number of pages	10
Journal	IEEE Transactions on Sustainable Energy
Volume	4
Issue number	1
DOIs	https://doi.org/10.1109/TSTE.2012.2196059
Publication status	Published - 2013
Externally published	Yes

Keywords

DC-AC power conversion
nonshoot-through state
pulsewidth modulated inverters
quasi-Z-source inverter (qZSI)
shoot-through state
solar power generation

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10.1109/TSTE.2012.2196059

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abstract = "The paper proposes an artificial-intelligence-based solution to interface and deliver maximum power from a photovoltaic (PV) power generating system in standalone operation. The interface between the PV dc source and the load is accomplished by a quasi-Z-source inverter (qZSI). The maximum power delivery to the load is ensured by an adaptive neuro-fuzzy inference system (ANFIS) based on maximum power point tracking (MPPT). The proposed ANFIS-based MPPT offers an extremely fast dynamic response with high accuracy. The closed-loop control of the qZSI regulates the shoot through duty ratio and the modulation index to effectively control the injected power and maintain the stringent voltage, current, and frequency conditions. The proposed technique is tested for isolated load conditions. Simulation and experimental approaches are used to validate the proposed scheme.",

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AU - Iqbal, Atif

AU - Ahmed, Sk Moin

AU - Peng, Fang Z.

AU - Li, Yuan

AU - Baoming, Ge

PY - 2013

Y1 - 2013

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KW - DC-AC power conversion

KW - nonshoot-through state

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KW - solar power generation

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Quasi-Z-source inverter-based photovoltaic generation system with maximum power tracking control using ANFIS

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Keywords

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