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Microgrid Optimal Scheduling Considering Impact Of High Penetration Wind Generation, Abdulaziz Furreh Alanazi
Microgrid Optimal Scheduling Considering Impact Of High Penetration Wind Generation, Abdulaziz Furreh Alanazi
Electronic Theses and Dissertations
The objective of this thesis is to study the impact of high penetration wind energy in economic and reliable operation of microgrids. Wind power is variable, i.e., constantly changing, and nondispatchable, i.e., cannot be controlled by the microgrid controller. Thus an accurate forecasting of wind power is an essential task in order to study its impacts in microgrid operation. Two commonly used forecasting methods including Autoregressive Integrated Moving Average (ARIMA) and Artificial Neural Network (ANN) have been used in this thesis to improve the wind power forecasting. The forecasting error is calculated using a Mean Absolute Percentage Error (MAPE) and …
Islanded Wind Energy Management System Based On Neural Networks, Ziqiao Liu
Islanded Wind Energy Management System Based On Neural Networks, Ziqiao Liu
Electronic Theses and Dissertations
Wind power, as the main renewable energy source, is increasingly deployed and connected into electrical networks thanks to the development of wind energy conversion technologies. This dissertation is focusing on research related to wind power system include grid-connected/islanded wind power systems operation and control design, wind power quality, wind power prediction technologies, and its applications in microgrids. The doubly fed induction generator (DFIG) wind turbine is popular in the wind industry and thus has been researched in this Dissertation. In order to investigate reasons of harmonic generation in wind power systems, a DFIG wind turbine is modeled by using general …