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Article

An Intelligent Approach to Active and Reactive Power Control in a Grid-Connected Solar Photovoltaic System

1
Department of Electrical Engineering, College of Engineering, Qassim University, Buraydah 52571, Qassim, Saudi Arabia
2
Department of Electrical Engineering, Delhi Technological University, Delhi 110042, India
3
Department of Electrical Engineering, SET, Noida International University, Noida 203201, India
*
Author to whom correspondence should be addressed.
Academic Editors: M. Dolores Esteban, José-Santos López-Gutiérrez and Vicente Negro
Sustainability 2021, 13(8), 4219; https://doi.org/10.3390/su13084219
Received: 6 March 2021 / Revised: 26 March 2021 / Accepted: 30 March 2021 / Published: 10 April 2021
(This article belongs to the Special Issue Renewable Energies for Sustainable Development)
The increasing demand of electrical energy and environmental concerns are invigorating the use of renewable energy resources for power generation. Renewable energy resources can provide an attractive solution for present and future energy requirements. In this scenario, solar photovoltaic systems are becoming prominent and sustainable solutions with numerous advantages. However, the utilization of solar photovoltaic systems in distribution generation makes it mandatory to deploy efficient and organized control measures for integrating solar photovoltaic plants with the grid. In this paper, the control of grid-tied solar photovoltaic systems using a Kalman filter-based generalized neural network is presented with a variable step size perturb and observe-based maximum power point tracking controller to extract the maximum power from a solar photovoltaic plant. The presented system provides power-quality enhancement and supports a three-phase AC grid. The proposed approach extracts the load currents’ primary components for efficient harmonics elimination, synchronizes the system with the grid and provides a fast response during rapidly changing conditions. The results of the proposed control technique are also compared with the artificial neural network-based control technique for validation purposes. The proposed algorithm is found more suitable for using a smaller number of unknown weights and training patterns with reduced computational time. View Full-Text
Keywords: renewable energy resources; grid integrated solar PV systems; sustainable power generation; maximum power point tracking; grid reliability and voltage source converter renewable energy resources; grid integrated solar PV systems; sustainable power generation; maximum power point tracking; grid reliability and voltage source converter
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MDPI and ACS Style

Alsaidan, I.; Chaudhary, P.; Alaraj, M.; Rizwan, M. An Intelligent Approach to Active and Reactive Power Control in a Grid-Connected Solar Photovoltaic System. Sustainability 2021, 13, 4219. https://doi.org/10.3390/su13084219

AMA Style

Alsaidan I, Chaudhary P, Alaraj M, Rizwan M. An Intelligent Approach to Active and Reactive Power Control in a Grid-Connected Solar Photovoltaic System. Sustainability. 2021; 13(8):4219. https://doi.org/10.3390/su13084219

Chicago/Turabian Style

Alsaidan, Ibrahim, Priyanka Chaudhary, Muhannad Alaraj, and Mohammad Rizwan. 2021. "An Intelligent Approach to Active and Reactive Power Control in a Grid-Connected Solar Photovoltaic System" Sustainability 13, no. 8: 4219. https://doi.org/10.3390/su13084219

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