Recent research led by WANG Zhong from the School of Electrical Engineering at Sichuan University has shed light on the ampacity of 500 kV DC submarine cables, a crucial component for offshore wind power transmission. Published in the journal “Power
Research Unveils Key Insights on Ampacity of 500 kV DC Submarine Cables Read More »
As the integration of wind power into the electrical grid continues to grow, managing the stability of power systems has become a pressing challenge. A recent study led by Yu Jingyi from the Digital Grid Research Institute of China Southern Power Gri
Adaptive Control Strategy Enhances Wind Farm Stability and Efficiency Read More »
Recent advancements in the integration of renewable energy sources, particularly wind power, are paving the way for significant reductions in carbon emissions within the power sector. A notable study led by CAI Xinlei from the Electric Power Dispatch
Innovative Two-Stage Dispatch Method Reduces Carbon Emissions from Wind Power Read More »
A recent study led by SHU Zhengyu from the College of Electrical Engineering & New Energy at China Three Gorges University has introduced a significant advancement in how virtual power plants (VPPs) can engage in the day-ahead electricity market. Thi
Virtual Power Plants Transform Market Dynamics with Strategic Bidding Read More »
In a significant advancement for the renewable energy sector, researchers have introduced a new method to improve wind power prediction accuracy, addressing a common challenge in the industry. Led by Wang Xiaoming from the Electric Power Research Ins
New Method Revolutionizes Wind Power Predictions for Enhanced Accuracy Read More »
Recent research published in the journal PRX Energy has shed light on how negative geostrophic wind shear can significantly impact the performance of wind farms. Conducted by lead author Anja Stieren, the study utilizes large-eddy simulations to expl
Study Uncovers Impact of Negative Wind Shear on Wind Farm Efficiency Read More »
Recent advancements in wind-farm power prediction have taken a significant leap forward with the introduction of physics-guided machine learning models. A study led by Navid Zehtabiyan-Rezaie, published in the journal ‘PRX Energy’, highlights how the
Innovative Machine Learning Models Revolutionize Wind Farm Power Predictions Read More »
Recent research published in PRX Energy has shed light on the complex power conversion processes in wind energy systems. Led by Pyei Phyo Lin, this study utilizes advanced stochastic analysis to better understand the behavior of wind turbines under v
New Research Unveils Insights to Enhance Wind Energy Conversion Efficiency Read More »
A recent study published in ‘PRX Energy’ has introduced a groundbreaking approach to understanding the dynamics of power systems, particularly focusing on the frequency of the power grid in continental Europe. Led by researcher Johannes Kruse, the st
Innovative Model Links Weather and Behavior to Power Grid Dynamics Read More »
A recent study led by Muhammad Ishaque from the Department of Electrical Engineering presents an innovative approach to optimizing wind turbine power generation systems (WTPGS) through a hybrid control strategy. This research, published in the Intern
Innovative Hybrid Control Strategy Enhances Wind Turbine Power Generation Read More »
