Design and implementation of a stand-alone microinverter with push-pull DC/DC power converter

Rahim, N. Abd; Elias, M.F. Bin Mohamad; Jamaludin, Jafferi; Rivai, Ahmad; Erixno, Oon; Zainal, F.Y.

doi:10.1049/cp.2016.1270

Cited by 4 publications

(1 citation statement)

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“…The DC bus voltage can supply a DC‐AC inverter circuit for a grid‐connected power structure and DC‐DC converter for supplying DC loads . The inverter and converter structures are accepted as loads for these buses.…”

Section: Introductionmentioning

confidence: 99%

An improved step‐up converter with a developed real‐time fuzzy‐based MPPT controller for PV‐based residential applications

Bayrak

Ghaderi

2019

Int Trans Electr Energ Syst

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Summary Residential photovoltaic power plants (RPVPPs) have a wide area of utilization in PV applications. Thus, low‐voltage penetration of these plants to the grid is a crucial issue for the high efficient operation of a photovoltaic (PV) system. The conventional maximum power point tracking (MPPT) methods have some drawbacks. Thus, intelligent MPPT methods are proposed in the literature to achieve these problems. This paper presents a new real‐time fuzzy‐based MPPT controller design for a new high gain transformer‐less and single‐switched power boost converter operating with different duty cycles for PV‐based residential applications. The proposed structure can ensure an enhancement in voltage gain by eight times for duty cycle of 50% that is much more effective than a conventional boost converter that can gain the input voltage to two times at the output of the converter. The higher amounts of the DC voltage gain are possible by adding the novel and efficient switched capacitor (SC) blocks. The proposed control method uses designed fuzzy‐based rules to control the duty cycle of the implemented power boost converter in the real‐time domain. A data acquisition card is used to control the duty cycle and monitoring the PV system. The proposed fuzzy‐based algorithm is performed in advanced LABVIEW software. The experimental results show that the developed fuzzy‐based controller is independent of the circuit parameters and has a more reliable response for changing environmental conditions. The accuracy of the applied fuzzy‐based MPPT method in the tested PV system varies between 95.8% and 99.6%.

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Section: Introductionmentioning

confidence: 99%