Date of Award
3-1-2015
Document Type
Masters Thesis
Degree Name
M.S.
Organizational Unit
Daniel Felix Ritchie School of Engineering and Computer Science
First Advisor
Amin Khodaei, Ph.D.
Second Advisor
Mohammad Matin
Third Advisor
Jun Zhang
Fourth Advisor
Caroline Li
Keywords
Microgrid, Mixed-Integer programming, Security-constrained unit commitment, Unit Commitment, Wind energy, Wind power forecasting
Abstract
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 is improved using the ANN. The wind forecast is further used in the microgrid optimal scheduling problem. The microgrid optimal scheduling is performed by developing a viable model for security-constrained unit commitment (SCUC) based on mixed-integer linear programing (MILP) method. The proposed SCUC is solved for various wind penetration levels and the relationship between the total cost and the wind power penetration is found. In order to reduce microgrid power transfer fluctuations, an additional constraint is proposed and added to the SCUC formulation. The new constraint would control the time-based fluctuations. The impact of the constraint on microgrid SCUC results is tested and validated with numerical analysis. Finally, the applicability of proposed models is demonstrated through numerical simulations.
Publication Statement
Copyright is held by the author. User is responsible for all copyright compliance.
Rights Holder
Abdulaziz Furreh Alanazi
Provenance
Received from ProQuest
File Format
application/pdf
Language
en
File Size
92 p.
Recommended Citation
Alanazi, Abdulaziz Furreh, "Microgrid Optimal Scheduling Considering Impact of High Penetration Wind Generation" (2015). Electronic Theses and Dissertations. 9.
https://digitalcommons.du.edu/etd/9
Copyright date
2015
Discipline
Electrical engineering