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
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;
Conference_Titel :
SmartGrids for Distribution, 2008. IET-CIRED. CIRED Seminar
Conference_Location :
Frankfurt
Print_ISBN :
978-0-86341-935-5