An Aggregated Model for Energy Management Considering Crowdsourcing Behaviors of Distributed Energy Resources

Weijia Liu, Bomiao Liang, Lei Sun, Zhiyuan He, Beiping Hou

Research output: Contribution to journalArticlepeer-review

8 Scopus Citations


Increasing deployment of distributed energy resources (DERs) is re-sculpturing the modern power systems in recent years. Future smart power distribution systems should be competent at accommodating extensive integration of DERs and managing the associated uncertainties at the distribution level. The electricity market has been proved to be an efficient way to employ market signals to direct behaviors of users and DERs with large capacity and homogeneous pattern. However, existing market frameworks cannot effectively handle a large number of small-scale DERs due to their diverse characteristics and arbitrary behavior patterns. In this context, an aggregated model which can represent and manage a diverse collection of DER, load, and storage is proposed. An additional trading platform, namely the energy sharing market, is established to reinforce the coordination and collaboration among various aggregators as well as operators. Energy sharing scheme is applied and a corresponding dynamic dispatch platform is designed to solve the crowdsource problem. The efficiency of the proposed model is validated by the numerical studies, and the market performance and impacts of energy sharing on the power systems are illustrated.

Original languageAmerican English
Article number8856206
Pages (from-to)145757-145766
Number of pages10
JournalIEEE Access
StatePublished - 2019

Bibliographical note

Publisher Copyright:
© 2013 IEEE.

NREL Publication Number

  • NREL/JA-5D00-75509


  • crowdsourcing behavior
  • Distributed power generation
  • electricity supply industry deregulation
  • energy management
  • energy sharing


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