Parameter Reduction of Composite Load Model Using Active Subspace Method

被引:7
|
作者
Ma, Zixiao [1 ]
Cui, Bai [2 ]
Wang, Zhaoyu [1 ]
Zhao, Dongbo [3 ]
机构
[1] Iowa State Univ, Dept Elect & Comp Engn, Ames, IA 50011 USA
[2] Natl Renewable Energy Lab, Golden, CO 80401 USA
[3] Argonne Natl Lab, 9700 S Cass Ave, Argonne, IL 60439 USA
基金
美国国家科学基金会;
关键词
Load modeling; Induction motors; Sensitivity; Power system dynamics; Computational modeling; Optimization; Open area test sites; WECC composite load model; parameter reduction; active subspace; dimension reduction; SENSITIVITY-ANALYSIS; INDEXES;
D O I
10.1109/TPWRS.2021.3078671
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Over the past decades, the increasing penetration of distributed energy resources (DERs) has dramatically changed the power load composition in the distribution networks. The traditional static and dynamic load models can hardly capture the dynamic behavior of modern loads especially for fault-induced delayed voltage recovery (FIDVR) events. Thus, a more comprehensive composite load model with combination of static load, different types of induction motors, single-phase A/C motor, electronic load and DERs has been proposed by Western Electricity Coordinating Council (WECC). However, due to the large number of parameters and model complexity, the WECC composite load model (WECC CMLD) raises new challenges to power system studies. To overcome these challenges, in this paper, a cutting-edge parameter reduction (PR) approach for WECC CMLD based on active subspace method (ASM) is proposed. Firstly, the WECC CMLD is parameterized in a discrete-time manner for the application of the proposed method. Then, parameter sensitivities are calculated by discovering the active subspace, which is a lower-dimensional linear subspace of the parameter space of WECC CMLD in which the dynamic response is most sensitive. The interdependency among parameters can be taken into consideration by our approach. Finally, the numerical experiments validate the effectiveness and advantages of the proposed approach for WECC CMLD model.
引用
收藏
页码:5441 / 5452
页数:12
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