Parameter Reduction of Composite Load Model Using Active Subspace Method

Zixiao Ma, Bai Cui, Zhaoyu Wang, Dongbo Zhao

Research output: Contribution to journalArticlepeer-review

13 Scopus Citations

Abstract

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.
Original languageAmerican English
Pages (from-to)5441-5452
Number of pages12
JournalIEEE Transactions on Power Systems
Volume36
Issue number6
DOIs
StatePublished - 2021

NREL Publication Number

  • NREL/JA-5D00-82809

Keywords

  • active subspace
  • dimension reduction
  • parameter reduction
  • WECC composite load model

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