The Adequate Exploitation of Grid-Connected Single-Phase Photovoltaic Systems Unceasingly

The Adequate Exploitation of Grid-Connected Single-Phase Photovoltaic Systems Unceasingly

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© 2022 by IJETT Journal
Volume-70 Issue-5
Year of Publication : 2022
Authors : CH Venkata Ramesh, A Manjunatha
DOI :  10.14445/22315381/IJETT-V70I5P215

How to Cite?

CH Venkata Ramesh, A Manjunatha, "A Bi-LSTM and GRU Hybrid Neural Network with BERT Feature Extraction for Amazon Textual Review Analysis," International Journal of Engineering Trends and Technology, vol. 70, no. 5, pp. 131-144, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I5P215

Abstract
Many countries are converting to renewable energy sources as the cost of grid electricity has risen dramatically. A DC-DC converter and a DC-AC converter are typically needed to link a solar photovoltaic system to the grid, and this is referred to as a double-stage conversion system. This proposed double-stage solar photovoltaic system adopts the suggested approach to deliver actual power and adjusts with the reactive power of the load. To further utilize the capacity of the voltage source inverter, a reactive power compensation operation is envisaged when there is no photovoltaic generation. The simulated results describe and demonstrate the multifunctional properties of the proposed methodology.

Keywords
Maximum power point (MPP), Reactive power compensation, Solar photovoltaic system, Voltage source inverter

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