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An Efficient Fuzzy Logic Control-Based Soft Computing Technique for Grid-Tied Photovoltaic System

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1040))

Abstract

Here, manuscript presents an efficient fuzzy logic controller (FLC)-based soft computing for grid-tied photovoltaic (PV) schematic as a maximum power point tracking (MPPT). An inverter controller for unity power factor operation of grid-tied PV system is achieved using space vector pulse width modulation (SVPWM) technology. Zeta chopper has been kept as an interface between inverter and utility grid. Under steady, dynamic and different loading situations have been presented by captured simulation estimations.

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References

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Correspondence to Neeraj Priyadarshi .

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Priyadarshi, N., Bhoi, A.K., Sharma, A.K., Mallick, P.K., Chakrabarti, P. (2020). An Efficient Fuzzy Logic Control-Based Soft Computing Technique for Grid-Tied Photovoltaic System. In: Mallick, P., Balas, V., Bhoi, A., Chae, GS. (eds) Cognitive Informatics and Soft Computing. Advances in Intelligent Systems and Computing, vol 1040. Springer, Singapore. https://doi.org/10.1007/978-981-15-1451-7_13

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