Assoc. Prof. Mostafa Kheshti（Link）
School of Electrical Engineering, Shandong University, Jinan, China
Title: Inertial Response of Wind Turbines in Grid Frequency Control
Abstract: Integration of renewable energy sources into the power system gradually phases out the traditional power plants. However, high penetration of intermittent renewable resources with limited storage capabilities decreases the system inertia and jeopardizes the grid frequency stability. Large-scale wind farms must participate in frequency control that responds optimally in due time and adaptively in case of detecting power imbalance in the grid. Wind turbines normally operate at the maximum power point tracking mode with one sole purpose, extraction of maximum power from the wind, regardless of what is happening in the grid. In this presentation, we show that how a wind turbine can participate in grid frequency control with the help of artificial intelligence-based methods.
Mostafa Kheshti (M'16) born in Iran, received the B.Sc. degree in Control Engineering at Shiraz University of Technology, Iran, and worked at Regional Dispatching Center of Fars Regional Electric Company as system operator. He obtained his M.Sc. and Ph.D. degrees in Power System Engineering with highest honors and full scholarships from Xi'an Jiaotong University, China in 2013 and 2017, respectively. He joined Shandong University afterwards where he currently works as an associate professor. His research interests include low inertia systems, stability control and optimization of renewable energy integrated power system using system identification, and computational intelligence methods. He has published 4 books and more than 40 papers and one article in SCIENCE magazine. He is the recipient of the Shandong University Future Young Scholars program, China. He is also editor of International Journal of Renewable Energy Technology.