Abstract
This paper presents the experimental realization of grid-connected photovoltaic (PV) system using dSPACE DS 1104 control board. To obtain high tracking efficiency, an adaptive Neuro-Fuzzy inference system (ANFIS)-based maximum power point tracking (MPPT) algorithm is proposed. The performance of the system is improved by fuzzy logic control (FLC), which generates the switching signal to the power switches of inverter. The proposed controller tracks optimal power from PV array as well as injects sinusoidal inverter current to the utility grid. Experimental results are validated using dSPACE DS 1104 control board under abrupt weather conditions.
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Priyadarshi, N., Sharma, A.K., Priyam, S. (2018). An Experimental Realization of Grid-Connected PV System with MPPT Using dSPACE DS 1104 Control Board. In: SenGupta, S., Zobaa, A., Sherpa, K., Bhoi, A. (eds) Advances in Smart Grid and Renewable Energy. Lecture Notes in Electrical Engineering, vol 435. Springer, Singapore. https://doi.org/10.1007/978-981-10-4286-7_13
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DOI: https://doi.org/10.1007/978-981-10-4286-7_13
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