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Load Modeling – A Review

Journal Article · · IEEE Transactions on Smart Grid
 [1];  [1];  [2];  [3];  [4];  [5]
  1. Iowa State Univ., Ames, IA (United States)
  2. Southern Methodist Univ., Dallas, TX (United States)
  3. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  4. Siemens Power Technologies International, Distribution Planning and Microgrids, Schenectady, NY (United States)
  5. Argonne National Lab. (ANL), Argonne, IL (United States)
+ Show Author Affiliations

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: static and dynamic models, while there are two types of approaches to identify model parameters: measurement-based and 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 However, the commonly used load models are outdated, and cannot represent emerging loads.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 study, we provide a thorough survey on the academic research progress and industry practices, and highlight existing issues and new trends in load modeling.

Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Electricity Delivery and Energy Reliability (OE)
Grant/Contract Number:
AC36-08GO28308
OSTI ID:
1435710
Alternate ID(s):
OSTI ID: 1576986
Report Number(s):
NREL/JA--5D00-68443
Journal Information:
IEEE Transactions on Smart Grid, Journal Name: IEEE Transactions on Smart Grid Journal Issue: 6 Vol. 9; ISSN 1949-3053
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English

Cited By (6)

The Load Model Composition Method in Power Systems Using Artificial Neural Network journal January 2020
Analytical solution to swing equations in power grids journal November 2019
Multi-Phase under Voltage Load Shedding Scheme for Preventing Delayed Voltage Recovery by Induction Motor Power Consumption Characteristics journal July 2018
Bayesian Estimation on Load Model Coefficients of ZIP and Induction Motor Model journal February 2019
Advantages of Minimizing Energy Exchange Instead of Energy Cost in Prosumer Microgrids journal February 2019
K-Means Clustering-Based Electrical Equipment Identification for Smart Building Application journal January 2020

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Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
demand side management
distributed generation
dynamic models
load modeling
model identification
static models