Probabilistic Analysis of the Effect of Wind Speed Variations on Power Quality of Power Systems

被引：0
|
作者：
Amiri, Mayssam [1 ]
Bagen, Bagen [2 ]
Gole, Aniruddha M. [1 ]
机构：
[1] Univ Manitoba, Dept Elect & Comp Engn, Winnipeg, MB, Canada
[2] Manitoba Hydro, Dept Syst Planning, Winnipeg, MB, Canada
来源：
2016 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS) | 2016年
关键词：
Power Quality; Probabilistic Power System Study; Wind Speed Variations; Monte Carlo Simulation;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Power system probabilistic-based studies have been performed for many years and are widely accepted by researchers and utilities. Such studies are capable of considering uncertainties of power system such as random failures of equipment and uncertainties in load forecast. With the increase of the penetration of renewable energy sources to power systems, new and additional uncertainties are needed to be considered in power system analysis. This paper presents a study methodology for evaluating the effect of wind speed variations on the power quality of power systems. A Monte Carlo Simulation method is used in the studies described in this paper assuming wind speed follows a Weibull distribution. Power flow is performed using a commercial program.
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页数：6
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