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A multi-string differential power processing based voltage equalizer for partial shading detection and mitigation in PV arrays.

Authors :
Satpathy, Priya Ranjan
Aljafari, Balaqasem
Thanikanti, Sudhakar Babu
Nwulu, Nnamdi
Sharma, Renu
Source :
Alexandria Engineering Journal; Oct2024, Vol. 104, p12-30, 19p
Publication Year :
2024

Abstract

Partial shading deteriorates the overall performance of photovoltaic (PV) arrays by reducing the power output. Various shading mitigation strategies have been proposed in the literature with vulnerabilities of limited applications, switches, sensor counts, design, cost, and complexities. In this paper, a multi-string differential power processing (MS-DPP) based voltage equalizer is proposed for power output improvement in the PV arrays during shading. The equalizer is utilized for the series-parallel array which is equipped with a shading detection system achieved from the optimal placement of minimum sensor counts. The technique uses the concept of a switching capacitor that balances the voltage ratio between the modules of individual strings to ensure higher power generation and convex power curves during shading. The system is simulated and validated in MATLAB simulation and further verified on the OPAL-RT 4510 hardware-in-loop FPGA-based real-time platform. The technique is executed on three array sizes and compared with existing techniques under static and dynamic partial shading cases. The analysis shows that MS-DPP enhances the array power output with a conversion efficiency higher than 99 % during shading with lower system size and 98.38 % and 95.05 % reduced counts of switches and sensors than dynamic reconfigurations. • A multi-string differential power processing (MS-DPP) voltage equalizer for PV arrays is proposed. • MS-DPP ensures higher power generation with smoother power curves during partial shading. • Validated in MATLAB and OPAL-RT environment under shading cases for multiple arrays. • Compared with conventional systems, power optimizer, static and dynamic reconfigurations. • Power conversion efficiency of higher than 99 % with 98.38 % and 95.05 % less switches and sensors than dynamic reconfiguration. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
11100168
Volume :
104
Database :
Supplemental Index
Journal :
Alexandria Engineering Journal
Publication Type :
Academic Journal
Accession number :
179666730
Full Text :
https://doi.org/10.1016/j.aej.2024.05.105