Probabilistic Distribution Load Flow With Different Wind Turbine Models

被引：22
|
作者：
Ahmed, Mohamed Hassan [1 ]
Bhattacharya, Kankar [1 ]
Salama, Magdy M. A. [1 ]
机构：
[1] Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON N2L 3G1, Canada
来源：
IEEE TRANSACTIONS ON POWER SYSTEMS | 2013年 / 28卷 / 02期
关键词：
Distribution system; probabilistic load flow; wind turbine models; RADIAL-DISTRIBUTION SYSTEMS; DENSITY-FUNCTION; RELIABILITY; GENERATIONS; NETWORKS; FARMS;
D O I：
10.1109/TPWRS.2012.2226611
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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. Futhermore, the effect of WT penetration on feeder losses, voltage profile and substation powers is presented.
引用
收藏
页码：1540 / 1549
页数：10
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