This paper deals with a fuzzy logic controller (FLC) three phase two stage grid-tied SPV (solar photovoltaic) system. The first stage deals with boost converter with MPPT (Maximum power point tracking) procedure is used to extract maximum solar energy from SPV module and feed the DC link of PV inverter, whereas the second stage deals with two-level VSC (voltage source converter) enables PV inverter to feed the power to the main grid from boost converter. The proposed system uses an adaptive DC link voltage which is made adaptive in nature by adjusting reference DC link voltage according to CPI(common point of interconnection) voltage. The proposed MPPT technique provides better dynamic performance than the conventional MPPT technique under an abrupt change in voltage at CPI. The THD (total harmonics distortion) of the grid current is maintained under the limit of an IEEE-519 standard.
This paper deals with a fuzzy logic controller (FLC) three phase two stage grid-tied SPV (solar photovoltaic) system. The first stage deals with boost converter with MPPT (Maximum power point tracking) procedure is used to extract maximum solar energy from SPV module and feed the DC link of PV inverter, whereas the second stage deals with two-level VSC (voltage source converter) enables PV inverter to feed the power to the main grid from boost converter. The proposed system uses an adaptive DC link voltage which is made adaptive in nature by adjusting reference DC link voltage according to CPI(common point of interconnection) voltage. The proposed MPPT technique provides better dynamic performance than the conventional MPPT technique under an abrupt change in voltage at CPI. The THD (total harmonics distortion) of the grid current is maintained under the limit of an IEEE-519 standard.

A fuzzy controlled three phase grid-tied SPV system with improved CPI voltage Variations

A fuzzy controlled three phase grid-tied SPV system with improved CPI voltage Variations
Product Details
BN ID: | 2940179064527 |
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Publisher: | TALLURI NAVEEN KUMAR |
Publication date: | 10/14/2023 |
Sold by: | Draft2Digital |
Format: | eBook |
File size: | 366 KB |