Hybrid Filtering Techniques for Enhanced Power Quality in Grid-Connected Solar PV Systems.
| dc.contributor.author | Aysa Siddika Esha | |
| dc.contributor.author | Nadim Reza | |
| dc.contributor.author | Oishi Jyoti | |
| dc.date.accessioned | 2026-04-29T06:16:37Z | |
| dc.date.available | 2026-07-07T10:46:02Z | |
| dc.date.issued | 2025-09-29 | |
| dc.description.abstract | As global electricity demand continues to rise, the integration of efficient renewable energy systems has become increasingly important. This work focuses on the Grid-Connected Solar PV (GCSPV) system, known for its operational simplicity and low maintenance as renewable energy source. But with presence of power electronic devices and non-linear loads in such system introduces harmonics that impair system performance and degrade power quality. To mitigate these effects, different filtering strategies are analyzed under both linear and non-linear load conditions. For non-linear loads, the LCL with Active Shunt Filter achieves the best performance with a Total Harmonic Distortion (THD) of 1.04%, while for linear loads, it reduces THD to 0.87%. A comprehensive model of a 100-kW doublestage three-phase grid-connected solar PV plant is developed in SIMULINK, incorporating a fixed DC link voltage of 600 volts and employing the Perturb and Observe (P&O) method for Maximum Power Point Tracking (MPPT). The findings highlight the effectiveness of hybrid filtering in enhancing power quality and ensuring reliable grid integration of solar PV systems | |
| dc.identifier.citation | Esha, Aysa Siddika, Nadim Reza, and Oishi Jyoti. "Hybrid Filtering Techniques for Enhanced Power Quality in Grid-Connected Solar PV Systems." 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN). IEEE, 2025. | |
| dc.identifier.other | http://dspace.uttarauniversity.edu.bd:8080/server/api/core/items/f193106c-98fd-4ed7-b98f-349b63404719 | |
| dc.identifier.uri | http://dspace.uttarauniversity.edu.bd:4000/handle/123456789/1420 | |
| dc.language.iso | en_US | |
| dc.publisher | 2025 IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking | |
| dc.source | Uttara University Institutional Repository | |
| dc.subject | Hybrid Filtering Techniques | |
| dc.subject | Power Quality Improvement | |
| dc.subject | Photovoltaic (PV) Systems | |
| dc.subject | Passive Power Filters (PPF) | |
| dc.subject | Voltage Sag and Swell | |
| dc.title | Hybrid Filtering Techniques for Enhanced Power Quality in Grid-Connected Solar PV Systems. | |
| dc.type | Article |
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