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Probabilistic load flow for high win...

Outcalt, Dudley M.

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Probabilistic load flow for high wind penetrated power systems based on a five point estimation method.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Probabilistic load flow for high wind penetrated power systems based on a five point estimation method./
Author:	Outcalt, Dudley M.
Description:	128 p.
Notes:	Source: Dissertation Abstracts International, Volume: 71-04, Section: B, page: 2602.
Contained By:	Dissertation Abstracts International71-04B.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3405089
ISBN:	9781109700671

Probabilistic load flow for high wind penetrated power systems based on a five point estimation method.
Outcalt, Dudley M.

Probabilistic load flow for high wind penetrated power systems based on a five point estimation method. - 128 p.

Source: Dissertation Abstracts International, Volume: 71-04, Section: B, page: 2602.

Thesis (Ph.D.)--The University of Wisconsin - Milwaukee, 2009.

Load flow analysis is an important tool for planning and designing future power systems and for determining optimal system operation. In the case of power generated by wind turbines, the power supply varies randomly. As a result the load flow solution parameters also become random variables. Therefore, for capturing realistic system performance, it is necessary to know the probabilistic behavior of load flow for a given probabilistic behavior of power supply. This paper develops a five point estimation method to calculate probabilistic load flow on systems with high wind power penetration. This new approach incorporates cut-in, cut-out, and constant power blade pitch control. The probabilistic behavior of varying wind speed is based on the Weibull probability distribution which generates a mixture of discrete and continuous distributions for the power distribution functions of the wind farm. These unique features accurately capture the behavior of the wind and wind turbine output. Simulations are run under a number of scenarios using between 118 and 2383 buses: varying wind penetration, varying the number of wind farms, and considering different weather conditions at different wind farms. Finally the five point method simulations are validated by comparing the results with Monte Carlo methods.

ISBN: 9781109700671Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Probabilistic load flow for high wind penetrated power systems based on a five point estimation method.
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020 $a 9781109700671
035 $a (MiAaPQ)AAI3405089
035 $a AAI3405089
040 $a MiAaPQ $c MiAaPQ
100 1 $a Outcalt, Dudley M. $3 2098638
245 1 0 $a Probabilistic load flow for high wind penetrated power systems based on a five point estimation method.
300 $a 128 p.
500 $a Source: Dissertation Abstracts International, Volume: 71-04, Section: B, page: 2602.
500 $a Adviser: David Yu.
502 $a Thesis (Ph.D.)--The University of Wisconsin - Milwaukee, 2009.
520 $a Load flow analysis is an important tool for planning and designing future power systems and for determining optimal system operation. In the case of power generated by wind turbines, the power supply varies randomly. As a result the load flow solution parameters also become random variables. Therefore, for capturing realistic system performance, it is necessary to know the probabilistic behavior of load flow for a given probabilistic behavior of power supply. This paper develops a five point estimation method to calculate probabilistic load flow on systems with high wind power penetration. This new approach incorporates cut-in, cut-out, and constant power blade pitch control. The probabilistic behavior of varying wind speed is based on the Weibull probability distribution which generates a mixture of discrete and continuous distributions for the power distribution functions of the wind farm. These unique features accurately capture the behavior of the wind and wind turbine output. Simulations are run under a number of scenarios using between 118 and 2383 buses: varying wind penetration, varying the number of wind farms, and considering different weather conditions at different wind farms. Finally the five point method simulations are validated by comparing the results with Monte Carlo methods.
590 $a School code: 0263.
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Alternative Energy. $3 1035473
690 $a 0544
690 $a 0363
710 2 $a The University of Wisconsin - Milwaukee. $3 1019345
773 0 $t Dissertation Abstracts International $g 71-04B.
790 $a 0263
791 $a Ph.D.
792 $a 2009
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3405089