DocumentCode :
740823
Title :
Simplified probabilistic voltage stability evaluation considering variable renewable distributed generation in distribution systems
Author :
Ke-yan Liu ; Wanxing Sheng ; Lijuan Hu ; Yongmei Liu ; Xiaoli Meng ; Dongli Jia
Author_Institution :
Power Distrib. Res. Dept., China Electr. Power Res. Inst., Beijing, China
Volume :
9
Issue :
12
fYear :
2015
Firstpage :
1464
Lastpage :
1473
Abstract :
This study investigates the evaluation of static voltage stability using a two-point estimation method (2PEM) and continuation power flow (CPF) in distribution systems. The stochastic distribution generation (DG) units have been considered with their respective probability density function (PDF). The proposed static voltage stability evaluation method first chooses several sample points to replace the PDFs using 2PEM. Then, based on each sample point, the critical static voltage stability value is calculated by CPF. On the basis of the critical values corresponding to all selected sample points, Cornish-Fisher series are used to evaluate the PDF of the critical static voltage stability, and then the static voltage stability state can be obtained. The proposed method has been tested on IEEE 33-bus, PG&E 69-bus and a real case with two stochastic DG units. Comparisons have been made with the Monte Carlo simulation and the first-order second-moment method. The results show that the proposed method has better efficiency and accuracy.
Keywords :
distributed power generation; load flow; power system stability; stochastic processes; 2PEM; CPF; Cornish-Fisher series; DG units; IEEE 33-bus; Monte Carlo simulation; PDF; PG&E 69-bus; continuation power flow; distribution systems; first-order second-moment method; probability density function; simplified probabilistic voltage stability evaluation; stochastic distribution generation; two-point estimation method; variable renewable distributed generation;
fLanguage :
English
Journal_Title :
Generation, Transmission & Distribution, IET
Publisher :
iet
ISSN :
1751-8687
Type :
jour
DOI :
10.1049/iet-gtd.2014.0840
Filename :
7224098
Link To Document :
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