Measurement-based load modeling at distribution level with complete model structure

Jia Hou, Zhao Xu, Zhao Yang Dong

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

8 Citations (Scopus)


Load modeling plays an important role in power system operation and control. With increasingly complex grid and emergence of various new load components, load modeling becomes an intractable task. In this paper, our research work will focus on load modeling at distribution level. In order to capture specific load characteristics of various load components, a complete load model at distribution level with equivalent capacitor, large motor and small motor is applied. Disturbance data is processed in advance through MATLAB programs according to the requirements of measurement-based approach. In case study, the measurements and simulated model outputs are demonstrated. For comparison purpose, three load models are used to access model accuracy, which are respectively complete load model at distribution level, composite load model at transmission level and dynamic load model in PowerFactory at distribution level. By contrast, the complete load model proved to have better performance in transient conditions. By splitting the induction motor into two parts, some issues are introduced at the same time. Future work will focus on the generalization capability of this compete load model.
Original languageEnglish
Title of host publication2012 IEEE Power and Energy Society General Meeting, PES 2012
Publication statusPublished - 11 Dec 2012
Event2012 IEEE Power and Energy Society General Meeting, PES 2012 - San Diego, CA, United States
Duration: 22 Jul 201226 Jul 2012


Conference2012 IEEE Power and Energy Society General Meeting, PES 2012
Country/TerritoryUnited States
CitySan Diego, CA


  • complete load model structure
  • distribution level
  • measurement-based approach

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering


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