Measurement-based parameter estimation for the WECC composite load model with distributed energy resources

Nelson Fabian Avila, Leonardo Callegaro, John Fletcher

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

Abstract

The development of advanced composite load models is imperative for accurate dynamic stability analysis of electric power systems. In North America, the Load Modelling Task Force (LMTF) endorsed the WECC composite load model for dynamic simulations of transmission networks. However, due to its complex dynamics and large number of parameters, little attention has been paid to the estimation of its parameters from online measurements. This load model incorporates the switching action of different built-in protection devices, which negatively affects the performance of conventional nonlinear programming algorithms. This paper introduces a hybrid optimization approach to estimate the parameters of the WECC composite load model. Parameters associated with dynamic and static equations, which are constrained by the physical interpretation of the model, are estimated by nonlinear programming techniques. On the other hand, protection parameters are estimated using a surrogate model of the objective function based on Radial Basis Function (RBF) optimization. The proposed scheme is validated with simulated and actual measurements collected across Australia.

Original languageEnglish
Title of host publication2020 IEEE Power and Energy Society General Meeting (PESGM)
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages5
ISBN (Electronic)9781728155081
ISBN (Print)9781728155098
DOIs
Publication statusPublished - 2020
Externally publishedYes
Event2020 IEEE Power and Energy Society General Meeting, PESGM 2020 - Montreal, Canada
Duration: 2 Aug 20206 Aug 2020

Publication series

Name
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2020 IEEE Power and Energy Society General Meeting, PESGM 2020
CountryCanada
CityMontreal
Period2/08/206/08/20

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