A Probabilistic Load Flow Method Including Wind and Reconstruction of Multimodal Distribution Function

被引:0
|
作者
Gupta, Neeraj [1 ]
Daratha, Novalio [2 ]
Jain, Sanjay Kumar [3 ]
Biswal, Gyan Ranjan [3 ]
机构
[1] NIT Hamirpur, Hamirpur, HP, India
[2] Univ Bengkulu, Bengkulu, Indonesia
[3] Thapar Univ, Patiala, Punjab, India
关键词
Probabilistic load flow; Point estimate method; Monte Carlo simulation; POWER-SYSTEM; GENERATION; COMPUTATION; MODELS; FARMS;
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
The inclusion and modeling of uncertainty in conventional load flow is required with the enhancement in the penetration of intermittent generation. As a result, the multi-modality is there in output distribution functions. In this paper, a probabilistic load flow method is used with two wind generator models with multimodal loadings and a spline based reconstruction technique is introduced for the construction of multimodal distribution functions. The proposed load flow method is tested in the IEEE-118 bus test system and accuracy of the results have been validated by comparing these results with those obtained by Monte Carlo simulation studies.
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页数:6
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