Professor. Dr. Ali Öztürk is a distinguished academic and researcher in the field of Electrical and Electronics Engineering, renowned for his pioneering work on power system stability, optimization, and renewable energy integration. As a faculty member at Düzce University’s Faculty of Engineering, he has made substantial contributions to both academia and applied research through his expertise in intelligent control systems, genetic and heuristic algorithms, and power system analysis. His academic background, rooted in Electrical and Electronics Engineering from Sakarya University and Yıldız University, has provided a strong foundation for his innovative work on topics such as voltage stability, harmonic effects in power systems, and optimization of FACTS device placement. Professor Öztürk has supervised numerous master’s and doctoral theses focusing on advanced energy technologies, including solar and wind power systems, frequency control in multi-area power systems, and data-driven approaches to energy forecasting using deep learning. His research has been widely recognized in national and international projects, encompassing areas like photovoltaic system design, hybrid energy solutions, and the application of artificial intelligence in smart grid management. In addition to his extensive publication record in peer-reviewed journals, he has held several key administrative and academic leadership roles, including serving as Department Chair and Institute Director at Düzce University. Professor Öztürk’s ongoing work continues to bridge theoretical modeling and practical innovation, advancing sustainable energy systems and intelligent electrical network design through a combination of analytical rigor and technological creativity.
Featured Publications:
A Novel Puma Optimizer Based TID Controller for Load Frequency Control.
Effects of Wind Turbine Height Variation on Hybrid Power System Feasibility.
Quantum Genetic Algorithm for Dynamic Economic Dispatch of Active Distribution Network with Microgrid Including Renewable Energy Source.
(2024). A Novel Sea Horse Optimizer Based Load Frequency Controller for Two-Area Power System with PV and Thermal Units. International Journal of Robotics and Control Systems.
(2023). A novel honey badger algorithm based load frequency controller design of a two-area system with renewable energy sources. Energy Reports.