Impact of wind generation uncertainty on power system small disturbance voltage stability: A PCM-based approach Academic Article

abstract

• The connection of wind generators with electric power system influences the system stability and nodal voltages. This paper performs uncertainty analysis to investigate the impact of wind generation variation on the small disturbance voltage stability. The probabilistic collocation method (PCM) is presented as a computationally efficient method to conduct the uncertainty analysis. It has been implemented in a simple system to demonstrate its applicability in analyzing wind generation uncertainty. More case studies on a larger system are conducted to obtain a deeper understanding of how the system voltage stability is affected by the integration of DFIG-based wind farms. As compared with the traditional Monte Carlo simulation method, the collocation method could provide a quite accurate approximation for the eigenvalue probabilistic distribution with fewer simulation runs. 2011 Elsevier B.V.

authors

• Kezunovic, Mladen

published proceedings

• ELECTRIC POWER SYSTEMS RESEARCH

author list (cited authors)

• Zheng, C. e., & Kezunovic, M.

citation count

• 24

complete list of authors

• Zheng, Ce||Kezunovic, Mladen

publication date

• March 2012

publisher

• Elsevier  Publisher

published in

• Electric Power Systems Research  Journal

keywords

• EIGENVALUE
• Pcm
• Probability Density Function
• Small Disturbance
• Uncertainty
• Voltage Stability
• Wind Generation

Digital Object Identifier (DOI)

• 10.1016/j.epsr.2011.10.001

start page

• 10

end page

• 19

volume

• 84

issue

• 1

URL

• http%3A%2F%2Fdx.doi.org%2F10.1016%2Fj.epsr.2011.10.001

user-defined tag

• 7 Affordable and Clean Energy