On optimizing demand response management performance for microgrids under communication unreliability constraint

Chao Yang, Wei Lou

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

4 Citations (Scopus)


When studying the real-time pricing in smart grids, there is a common assumption that a perfect bidirectional communication network is built between supply and demand ends. However, this assumption is unrealistic, especially in a microgrid system which includes renewable energy resources. In this paper, we consider the uncertainty of imperfect communications in both supply and demand ends, which affects the performance of the microgrid system in terms of the packet loss ratio of the power demand information transmission and the forecasting accuracy ratio of the renewable energy generation. We analyze the impacts of unreliable communications on the demand response management (DRM) performance of real-time pricing in the microgrid system. A joint optimization problem is therefore formulated in order to maximize the DRM performance of the microgrid system. Leveraging the dual decomposition, the proposed optimization problem is solved via two sub-problems. Simulation results reveal the impacts of imperfect communications on the DRM performance.
Original languageEnglish
Title of host publication2015 IEEE Global Communications Conference, GLOBECOM 2015
Number of pages6
ISBN (Electronic)9781479959525
ISBN (Print)9781479959518
Publication statusPublished - 2015
Event58th IEEE Global Communications Conference, GLOBECOM 2015 - San Diego, United States
Duration: 6 Dec 201510 Dec 2015


Conference58th IEEE Global Communications Conference, GLOBECOM 2015
Country/TerritoryUnited States
CitySan Diego


  • Dual decomposition
  • Microgrids
  • Optimization

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Communication

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