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

Zhang, Kaiqing and Guo, Siming and Zhu, Hao (2017) Parameter Sensitivity and Dependency Analysis for the WECC Dynamic Composite Load Model. Hawaii International Conference On System Sciences (HICSS).

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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 faultinduced 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.

Item Type: Article
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA76 Computer software
T Technology > T Technology (General)
Divisions: Faculty of Industrial Engineering and Informatics > Information System
Depositing User: staff repository 3
Date Deposited: 26 Jul 2018 19:47
Last Modified: 26 Jul 2018 19:47
URI: http://repository.ittelkom-pwt.ac.id/id/eprint/958

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