Artificial intelligence applications for grid-connected solar inverters

Utkirjon Murodillaevich Ubaydullaev, Sarvinoz Mirzaeva, Hasan Mustafoev

Кимёвий технология. Назорат ва бошқарув · 2025-yil

Annotatsiya

The increasing global demand for renewable energy has highlighted the importance of grid-connected solar inverters in ensuring efficient and stable power conversion. However, challenges such as fluctuations in solar energy generation, grid disturbances, and power quality issues necessitate advanced control strategies. The integration of artificial intelligence (AI) into solar inverters presents a transformative solution, enhancing performance, adaptability, and reliability in real-world applications. This review explores the role of AI techniques, including machine learning (ML), deep learning (DL), fuzzy logic, and reinforcement learning (RL), in optimizing key inverter functionalities such as maximum power point tracking (MPPT), fault detection, power quality enhancement, and grid synchronization. AI-driven MPPT algorithms significantly improve energy extraction efficiency, while deep learning-based fault detection methods enable early anomaly identification, reducing system failures and maintenance costs. Furthermore, fuzzy logic and RL enhance grid-inverter interactions, ensuring seamless synchronization and real-time adaptive control. AI-powered power quality management mitigates voltage fluctuations and harmonic distortions, maintaining compliance with grid standards. Despite the evident benefits, challenges such as computational complexity, real-time implementation constraints, and data availability hinder widespread adoption. This review provides an in-depth analysis of AI applications in grid-connected solar inverters, discussing existing solutions, challenges, and future research directions. Emphasis is placed on the potential of AI in advancing intelligent and resilient renewable energy systems through emerging technologies such as edge computing, blockchain, digital twins, and IoT-enabled smart grids.

Maqola ma’lumotlari
MualliflarUtkirjon Murodillaevich Ubaydullaev, Sarvinoz Mirzaeva, Hasan Mustafoev
JurnalКимёвий технология. Назорат ва бошқарув
NashriyotТошкент давлат техника университети, «Ўзқурилишматериаллар» ДАК, «Ўзкимёсаноат» ДАК, «Совпластитал» ҚҚ, Ўзбекистон Интеллектуал мулк агентлиги
ISSN2181-1105, 1815-4840
Nashr sanasi2025-04-30
Jild2025
Son2
Betlar33-39
TilIngliz
Ilmiy sohaTexnika
DOI10.59048/2181-1105.1661
Indeksga qo‘shilgan2026-09-02

DOI: 10.59048/2181-1105.1661 · Maqolaning asl sahifasi · PDF

Ilmiy soha

Texnika

Iqtibos keltirish

APAUtkirjon Murodillaevich Ubaydullaev, Sarvinoz Mirzaeva, & Hasan Mustafoev (2025). ARTIFICIAL INTELLIGENCE APPLICATIONS FOR GRID-CONNECTED SOLAR INVERTERS. Кимёвий технология. Назорат ва бошқарув, 2025(2), 33-39. https://doi.org/10.59048/2181-1105.1661
GOST (OAK)Utkirjon Murodillaevich Ubaydullaev, Sarvinoz Mirzaeva, Hasan Mustafoev ARTIFICIAL INTELLIGENCE APPLICATIONS FOR GRID-CONNECTED SOLAR INVERTERS // Кимёвий технология. Назорат ва бошқарув. – 2025. – T. 2025, № 2. – P. 33-39. – DOI: 10.59048/2181-1105.1661.
MLAUtkirjon Murodillaevich Ubaydullaev, Sarvinoz Mirzaeva, and Hasan Mustafoev. “ARTIFICIAL INTELLIGENCE APPLICATIONS FOR GRID-CONNECTED SOLAR INVERTERS.” Кимёвий технология. Назорат ва бошқарув, 2025(2), 33-39, 2025. https://doi.org/10.59048/2181-1105.1661
ChicagoUtkirjon Murodillaevich Ubaydullaev, Sarvinoz Mirzaeva, and Hasan Mustafoev. “ARTIFICIAL INTELLIGENCE APPLICATIONS FOR GRID-CONNECTED SOLAR INVERTERS.” Кимёвий технология. Назорат ва бошқарув, 2025(2), 33-39 (2025). https://doi.org/10.59048/2181-1105.1661
HarvardUtkirjon Murodillaevich Ubaydullaev, Sarvinoz Mirzaeva, and Hasan Mustafoev (2025) ‘ARTIFICIAL INTELLIGENCE APPLICATIONS FOR GRID-CONNECTED SOLAR INVERTERS’, Кимёвий технология. Назорат ва бошқарув, 2025(2), 33-39. https://doi.org/10.59048/2181-1105.1661
BibTeX
@article{utkirjonmurodillaevichubaydullaev2025,
  title = {ARTIFICIAL INTELLIGENCE APPLICATIONS FOR GRID-CONNECTED SOLAR INVERTERS},
  author = {Utkirjon Murodillaevich Ubaydullaev and Sarvinoz Mirzaeva and Hasan Mustafoev},
  journal = {Кимёвий технология. Назорат ва бошқарув},
  year = {2025},
  volume = {2025},
  number = {2},
  pages = {33-39},
  doi = {10.59048/2181-1105.1661},
  url = {https://doi.org/10.59048/2181-1105.1661}
}

Boshqa maqola uchun iqtibos tayyorlash

Кимёвий технология. Назорат ва бошқарув jurnalidan boshqa maqolalar

Кимёвий технология. Назорат ва бошқарув — barcha maqolalar · 2025-yil arxivi

Utkirjon Murodillaevich Ubaydullaev — boshqa maqolalari

Texnika sohasidagi boshqa maqolalar

Texnika sohasidagi OAK jurnallari