<![CDATA[Wind Power Plants (PLTB) are one of the renewable energy sources that have great potential in supporting the global energy transition. However, energy optimization in the PLTB system faces various complex technical and operational challenges. This literature review analyzes the main challenges in PLTB energy optimization including wind speed variability, energy conversion efficiency, grid integration, and system maintenance. This study uses a systematic literature review method of 45 scientific publications from 2018-2024. The results of the analysis showed that the main challenges included: wind intermittency (78%), energy losses on conversion (65%), and system control complexity (52%). The identified solutions include the implementation of AI/ML-based intelligent control algorithms, integrated energy storage systems, turbine blade design optimization, and IoT-based predictive maintenance. This study concludes that a holistic approach that integrates digital technology, advanced materials, and adaptive control systems can increase the efficiency of PLTB by up to 15-25%. These findings make a significant contribution to the development of a more effective and sustainable PLTB energy optimization strategy]]>
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