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Microgrid optimal scheduling conside...

Alanazi, Abdulaziz.

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Microgrid optimal scheduling considering impact of high penetration wind generation.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Microgrid optimal scheduling considering impact of high penetration wind generation./
Author:	Alanazi, Abdulaziz.
Description:	92 p.
Notes:	Source: Masters Abstracts International, Volume: 54-04.
Contained By:	Masters Abstracts International54-04(E).
Subject:	Electrical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1586738
ISBN:	9781321690064

Microgrid optimal scheduling considering impact of high penetration wind generation.
Alanazi, Abdulaziz.

Microgrid optimal scheduling considering impact of high penetration wind generation. - 92 p.

Source: Masters Abstracts International, Volume: 54-04.

Thesis (M.S.)--University of Denver, 2015.

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.

ISBN: 9781321690064Subjects--Topical Terms:

649834
Electrical engineering.

Microgrid optimal scheduling considering impact of high penetration wind generation.
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245 1 0 $a Microgrid optimal scheduling considering impact of high penetration wind generation.
300 $a 92 p.
500 $a Source: Masters Abstracts International, Volume: 54-04.
500 $a Adviser: Amin Khodaei.
502 $a Thesis (M.S.)--University of Denver, 2015.
520 $a 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.
590 $a School code: 0061.
650 4 $a Electrical engineering. $3 649834
650 4 $a Alternative Energy. $3 1035473
650 4 $a Energy. $3 876794
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710 2 $a University of Denver. $b Electrical Engineering. $3 2102324
773 0 $t Masters Abstracts International $g 54-04(E).
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