Load Modeling - A Review

Anmar Arif, Zhaoyu Wang, Jianhui Wang, Barry Mather, Hugo Bashualdo, Dongbo Zhao

Research output: Contribution to journalReview articlepeer-review

376 Scopus Citations

Abstract

Load modeling has significant impact on power system studies. This paper presents a review on load modeling and identification techniques. Load models can be classified into two broad categories: 1) static and 2) dynamic models, while there are two types of approaches to identify model parameters: 1) measurement-based and 2) component-based. Load modeling has received more attention in recent years because of the renewable integration, demand-side management, and smart metering devices. However, the commonly used load models are outdated, and cannot represent emerging loads. There is a need to systematically review existing load modeling techniques and suggest future research directions to meet the increasing interests from industry and academia. In this paper, we provide a thorough survey on the academic research progress and industry practices, and highlight existing issues and new trends in load modeling.

Original languageAmerican English
Article number7917348
Pages (from-to)5986-5999
Number of pages14
JournalIEEE Transactions on Smart Grid
Volume9
Issue number6
DOIs
StatePublished - 2018

Bibliographical note

Publisher Copyright:
© 2010-2012 IEEE.

NREL Publication Number

  • NREL/JA-5D00-68443

Keywords

  • demand side management
  • distributed generation
  • dynamic models
  • Load modeling
  • model identification
  • static models

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