Hybrid MPPT Control Applied to a Flyback Micro-Inverter Connected the Electrical Grid

Lima, Renata Oliveira de; Barreto, Luiz Henrique Silva Colado; Reis, Francisco Everton Uchôa

doi:10.1109/induscon.2018.8627283

Cited by 3 publications

(3 citation statements)

References 19 publications

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“…The hybrid MPPT algorithm used in this work was presented in [12]. It is composed of the conventional algorithms perturb and observe (P&O) and incremental conductance (IC).…”

Section: Mppt Algorithmmentioning

confidence: 99%

“…Microinverters allow obtaining an individual MPP of each PV panel which contributes to increase the system performance, extracting the maximum power from each module individually [8,9]. Several algorithm schemes have been proposed in microinverters to work in the MPP of the photovoltaic panel [10][11][12][13]. Various MPPT control algorithms are proposed in the existing literature to deal with PV systems operating under partial shading conditions.…”

Section: Introductionmentioning

confidence: 99%

“…Another converter can be used using the same MPPT. For example, [12], the Flyback converter is employed. There is no restriction on the converter to be used because a short circuit is never generated in the panel, or the panel is never disconnected from the converter (some algorithms need to perform these actions to obtain the MPP, for example, the fractional open circuit voltage (FOCV) and fractional short circuit current (FSCC) method) [18,19].…”

Section: Introductionmentioning

confidence: 99%

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A Comprehensive Control Strategy for a Push–Pull Microinverter Connected to the Grid

et al. 2023

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The effects of partial shading or dust accumulation on the panels of photovoltaic systems connected to the grid can generate a considerable reduction in energy performance, being necessary to provide the appropriate voltage to the grid regardless of the irradiance level. This paper addresses this problem and presents a comprehensive control strategy and its implementation for a grid-connected microinverter composed of a push–pull converter followed by an H-bridge inverter. In the push–pull converter, a hybrid MPPT algorithm and a PI control enable work in the MPP of the PV panel. In the H-bridge inverter, a cascade control consisting of a PI control and a predictive control allows the connection to the grid. A proof-of-concept prototype is implemented in order to validate the proposal. Experimental tests were performed by connecting the microinverter to a PV panel and a programmable photovoltaic panel emulator to check the MPPT performance. Furthermore, partial shading conditions were simulated on the dc source to check if the global maximum power point is reached. Experimental results demonstrate the feasibility of the topology and the control approach, obtaining MPPT performance in the topology above 99% at different power and voltage levels on the MPPT, even in the presence of partial shading conditions.

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“…The hybrid MPPT algorithm used in this work was presented in [12]. It is composed of the conventional algorithms perturb and observe (P&O) and incremental conductance (IC).…”

Section: Mppt Algorithmmentioning

confidence: 99%