DocumentCode
475088
Title
Advanced stochastic analysis of massive DG penetration — A voltage quality case study
Author
Liang Tao ; Mueller, Matthias ; Schwaegerl, Christine
Author_Institution
Siemens AG, Berlin
fYear
2008
fDate
23-24 June 2008
Firstpage
1
Lastpage
4
Abstract
This paper demonstrates why and how a stochastic load flow method based on sequential Monte Carlo simulation is applied to the voltage quality analysis of an existing medium voltage network with very high penetration of DG (distributed generation) units. Simulation results exhibit that oversized DG and large R/X ratio of distribution lines could lead to voltage quality issues that cannot be simply solved by traditional control measures such as on-load transformer tap changer (OLTC) or reactive power compensation techniques. Both preventive and remedial solutions to this problem are discussed in consequence.
Keywords
Monte Carlo methods; distributed power generation; load flow; power distribution lines; stochastic processes; distributed generation; distribution line; load flow method; massive DG penetration; sequential Monte Carlo simulation; stochastic analysis; voltage quality analysis;
fLanguage
English
Publisher
iet
Conference_Titel
SmartGrids for Distribution, 2008. IET-CIRED. CIRED Seminar
Conference_Location
Frankfurt
ISSN
0537-9989
Print_ISBN
978-0-86341-935-5
Type
conf
Filename
4591835
Link To Document