Control and optimization tasks in wind energy systems encompass a broad range of objectives, including yaw control, load balancing, battery scheduling, wake steering, and turbine power maximization.
Wind energy optimization should be studied concurrently with other renewable energies, such as wind–solar systems. Another interdisciplinary direction through which optimization studies can be conducted involves IoT technology. This technology consists of installing sensors on wind turbines.
Five papers are case studies conducting applied analyses on specific data. Advanced wind turbine optimization techniques include indirect control for tracking the maximum power point of doubly fed induction generators, ML-based modeling, and periodic pitch angle adjustment to improve energy production .
In the past, the study of wind power optimization was limited to understanding mechanical and atmospheric phenomena without implications of AI technologies. This modeling involved the analysis of nonlinear dynamics' processes. The adoption of these modern technologies simplifies the data analysis and modeling processes.
Wind energy represents a solution for reducing environmental impact. For this reason, this research studies the elements that propose optimizing wind energy production through intelligent
This review discusses various operational control strategies for wind turbines and compares these methods. The goal of this research is to serve as a comprehensive reference for
To get the highest possible power harvesting from wind, optimization approaches are used to address a range of issues about wind energy. This article comprehensively reviews the current
This paper provides an in-depth analysis of the application of robust optimization algorithms in wind power systems, focusing on how these algorithms can enhance the efficiency and
ine the atmospheric influences on wind power. 21 Ordinary differential equations on wake effects, wind speed profiles, and turbine control system dynamics
This review offers a comprehensive roadmap for the application of machine intelligence in advancing wind energy optimization and provides actionable insights for researchers, engineers, and
Wind power systems are a key element in sustainable development and provide a stable and secure model for communication through the power grid. The research proposes a control
Due to the rising demand for energy and the scarcity of conventional power sources, wind energy has recently attracted significant interest in several countries. Due to its affordability and
The proactive integration of wind energy into power systems reflects a collective commitment to reducing environmental impact, enhancing energy security, and promoting economic
The ongoing shift toward high-capacity, large-scale wind turbine designs intensifies key challenges: these systems must balance substantial mechanical loads with enhanced power
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