Title: Grid interactive solar PV power generation systems using sparse control algorithms promoted by Andrew's sine norm

Authors: Ranjeet Kumar; Omveer Singh; Shailendra Kumar; Tanu Prasad

Addresses: Department of Electrical Engineering, GBU, Greater Noida – 201312, India ' Department of Electrical Engineering, GBU, Greater Noida – 201312, India ' Department of Electrical Engineering, Indian Institute of Technology Bhilai, Durg (CG) – 491001, India ' Department of Electrical Engineering, Indian Institute of Technology Bhilai, Durg (CG) – 491001, India

Abstract: In this paper, a sparse Andrew's sine norm promoting (SASNA) control approach is presented for the grid connected double-stage solar energy generation system. This technique is able to inject noiseless current to the grid under varying nonlinear emergency load conditions. A boost converter integrates solar energy to the DC bus and acts as a peak power point tracker (PPPT). The DC link voltage is controlled through the proportional integral (PI) control. Moreover, in the second stage, voltage source converter (VSC) is integrated, which injects the power into the grid. It converts solar energy into AC power. The sparse Andrew's sine norm sparse-based technique is used to switch on the power devices of VSC, which improves the response of the PV system by incorporating sparse system. The load balancing, harmonic reduction, power factor correction (PFC), and voltage regulation features of the solar power generating system at point of common coupling (PCC) are provided for variety of loads, including solar insolation changes. The MATLAB/Simulink and OPAL-RT-based platforms are used to simulate and validate the response of the system.

Keywords: adaptive filtering; Andrew's sine estimating algorithm; solar photovoltaic; SPV; DC-DC boost converter; load balancing.

DOI: 10.1504/IJPELEC.2025.144694

International Journal of Power Electronics, 2025 Vol.21 No.2, pp.129 - 150

Received: 14 Jul 2024
Accepted: 02 Nov 2024

Published online: 27 Feb 2025 *

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