20.500.12556/DKUM-93738 Performance Enhancement of Grid Connected Multilevel Inverter Based Wind Energy Conversion System with LVRT Capability Using Optimized Type 2 ANFIS Based DVR A Permanent Magnet Synchronous Generator (PMSG) based Wind Energy Conversion System (WECS) holds significant importance in the realm of Renewable Energy Sources (RES) for several reasons. The permanent magnets in the generator eliminate the need for a separate excitation system, leading to improved efficiency in power conversion. This makes PMSG-based WECS an effective and reliable source of wind energy electricity. The motivation behind the proposed conceptual framework stems from the need to overcome the limitations related to the integration of RES into the power grid, specifically focusing on voltage stability and Low Voltage Ride Through (LVRT) capability of PMSG based WECS. A Dynamic Voltage Restorer (DVR), empowered by an energy storage device, is used to mitigate voltage fluctuations and disturbances. The input DC voltage to the DVR is intricately regulated by a Type 2 Adaptive Neuro Fuzzy Inference System (ANFIS) Controller optimized using the Seagull algorithm, exhibiting intelligent adaptability to dynamic conditions. The rectified output from the WECS transforms an Isolated Flyback converter. Subsequently, a 31-Level Cascaded H-Bridge Multilevel Inverter (CHBMLI) along with a Proportional-Integral (PI) controller aids in generating high-quality AC output. By addressing challenges related to voltage stability and the ability to ride through low-voltage conditions, the proposed work contributes to enhanced grid stability. The use of advanced control techniques, including the Type 2 ANFIS Controller optimized by the Seagull algorithm, adds a layer of intelligent adaptability to changing environmental and grid conditions. A lower Total Harmonic Distortion (THD) Value of 1.29% is shown during the validation of the created system utilizing MATLAB/Simulink, assuring significant LVRT capabilities. Permanent Magnet Synchronous Generator (PMSG) Wind Energy Conversion System (WECS) Renewable Energy Sources (RES) Low Voltage Ride Through (LVRT) Type 2 Adaptive Neuro Fuzzy Inference System 31-Level CHBMLI Proportional-Integral (PI) sinhroni motorji s trajnim magnetom sistem za pretvorbo vetrne energije obnovljivi viri energije nizkonapetostni prehodi adaptivni nevronski mehki sklepalni sistem tipa 2 31-nivojski kaskadni večnivojski razsmernik H-most true false true Seventh Sense Research Group Angleški jezik Slovenski jezik Znanstveno delo 2025-07-17 03:08:57 2025-11-06 14:05:17 2025-11-07 03:14:58 0000-00-00 00:00:00 2024 0 0 Str. 231-248 št. 10 Letn. 11 oct. 2024 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2024-08-16 2024-10-17 2024-10-30 621.3 232277763 10.14445/23488379/IJEEE-V11I10P124 2348-8379 Sajan_2024_Performance_Enhancement_of_Grid_Connected.pdf Sajan_2024_Performance_Enhancement_of_Grid_Connected.pdf 1 CA7B2E0B45989A27469278FEDB363EB8 4d447b8cbe019c222784e1bbdb9c6bed9d89f487bdd8f423b2bb4f7cc4fbc4d4 eadad01c-bb10-11f0-8c37-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=200458 https://doi.org/10.14445/23488379/IJEEE-V11I10P124 0 205e6d0c-bb11-11f0-8c37-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=200459 Fakulteta za energetiko 0 0 0