Available Transfer Capability Calculation for Wind-Integrated Power Systems Considering Wind Speed Spatiotemporal Correlation and Primal-Dual Interior Point Method [PDF]
This paper explores the intricate effects of wind power integration on the Available Transfer Capability (ATC) of power systems, emphasizing the significance of spatiotemporal correlations in wind speed. We present an innovative optimal power flow model that integrates the Primal-Dual Interior Point Method (PDIPM), ensuring both computational accuracy ...
arxiv
Nationwide Assessment of Potential Output from Wind-Powered Generators [PDF]
C. G. Justus+2 more
openalex +1 more source
IGBT Gate Boost Drive Technology for Promoting the Overload Capacity of Traction Converter
Under certain circumstances, a high-speed railway may require constant acceleration or emergency braking, in which case the inverter may experience short-term overload conditions and the current passing through the IGBT will go beyond the rated design ...
Yunxin Zhang+7 more
doaj +1 more source
Design of a Parallel All-DC Wind Power System With Turbine-Side Boost Based on a New DC Conversion
All-DC wind power system is one of the important directions of wind power development in the future, and its safe and reliable topology and stable control strategy are the key to the stable operation of the system.
Haiyang Han+6 more
doaj +1 more source
Real-Time Dynamic Layout Optimization for Floating Offshore Wind Farm Control [PDF]
Downstream wind turbines operating behind upstream turbines face significant performance challenges due to reduced wind speeds and increased turbulence. This leads to decreased wind energy production and higher dynamic loads on downwind turbines. Consequently, real-time monitoring and control have become crucial for improving wind farm performance. One
arxiv
Analysis of Near-Surface Wind Shear Characteristics over Land in China
Wind shear is one of the crucial parameters in wind resource assessment and also serves as a vital parameter and basis for determining wind turbines’ selection and hub height.
Ling Yuan+4 more
doaj +1 more source
Climate change impacts on wind power generation
S. Pryor+4 more
semanticscholar +1 more source
Applying Ensemble Models based on Graph Neural Network and Reinforcement Learning for Wind Power Forecasting [PDF]
Accurately predicting the wind power output of a wind farm across various time scales utilizing Wind Power Forecasting (WPF) is a critical issue in wind power trading and utilization. The WPF problem remains unresolved due to numerous influencing variables, such as wind speed, temperature, latitude, and longitude. Furthermore, achieving high prediction
arxiv