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Load Modeling—A Review

IEEE Transactions on Smart Grid · 2017 · Vol. 9(6) · pp. 5986–5999
Anmar ArifZhaoyu WangJianhui WangBarry MatherHugo BashualdoDongbo Zhao

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 However, the commonly used load models are outdated, and cannot represent emerging loads.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.

Power System Optimization and StabilitySmart Grid Energy ManagementOptimal Power Flow DistributionIdentification (biology)Computer scienceLoad managementElectric power systemComponent (thermodynamics)Industrial engineeringReliability engineeringEngineeringRisk analysis (engineering)Power (physics)

Funding

  • U.S. Department of Energy
Citations
469
FWCI
16.61
field-weighted impact
References
125
Percentile
99%
vs. same field & year
Citations per year
References
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