Title :
Probabilistic Distribution Load Flow With Different Wind Turbine Models
Author :
Ahmed, Mohamed Hossam ; Bhattacharya, Kankar ; Salama, Magdy M. A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
Abstract :
This paper presents a novel probabilistic distribution load flow (PDLF) algorithm to study the effect of connecting a wind turbine (WT) to a distribution system. This probabilistic approach is used to capture the stochastic behavior of the generation of WTs. Three different models of WTs are developed to be embedded in the PDLF. Consequently, a probabilistic approach to evaluate the impact of wind penetration into distribution systems is developed. Furthermore, the effect of WT penetration on feeder losses, voltage profile and substation powers is presented.
Keywords :
load flow; power distribution; probability; substations; wind turbines; PDLF algorithm; WT generation; WT penetration; distribution system; feeder loss; probabilistic distribution load flow; substation powers; voltage profile; wind penetration impact; wind turbine models; Analytical models; Load modeling; Mathematical model; Probabilistic logic; Random variables; Reactive power; Wind speed; Distribution system; probabilistic load flow; wind turbine models;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2012.2226611