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Parameter Sensitivity and Dependency Analysis for the WECC Dynamic Composite Load Model

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Title: Parameter Sensitivity and Dependency Analysis for the WECC Dynamic Composite Load Model
Authors: Zhang, Kaiqing
Guo, Siming
Zhu, Hao
Keywords: Dynamic load modeling
sensitivity analysis
dependency analysis
transient stability
singular value decomposition
Issue Date: 04 Jan 2017
Abstract: An accurate dynamic load model plays a crucial role in the analysis of power system transient stability. The WECC dynamic composite load model (CMPLDW) has been developed recently to better represent fault-induced delayed-voltage-recovery (FIDVR) events, which are of increasing concern to electric utilities. To facilitate the understanding of the CMPLDW, it is worth studying the effect of parameters that describe the model structure on its dynamic response. In this paper, we show that 1) some parameters have very minimal sensitivities under certain FIDVR events; 2) sensitivities of certain parameters are strongly dependent on the temporal profile of given fault, such as its minimum fault voltage or recovery time; and 3) some parameters share similar sensitivity patterns and thus the change of their values may complement each other. These observations are essential for further developing enhanced measurement-based dynamic load modeling approaches by tackling the parameter identifiability issues pointed out in the present work.
Pages/Duration: 8 pages
URI/DOI: http://hdl.handle.net/10125/41540
ISBN: 978-0-9981331-0-2
DOI: 10.24251/HICSS.2017.383
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Monitoring, Control, and Protection Minitrack



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