Assessment of grid-friendly collective optimization framework for distributed energy resources

Alessandro Pensini, Matthew Robinson, Nicholas Heine, Michael Stadler, Andrea Mammoli

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


Recent developments in the advanced control of renewable energy resources and distributed generation systems are resulting in pressures to adopt tariffs of increasing complexity. Independently of the tariff structure, utility customers can programmatically optimize their schedule consumption for reducing their energy bills. However, as the penetration of distributed energy resources increases, there is an increasing chance of a “tragedy of the commons” mechanism taking place, where taking advantage of tariffs for local benefit can ultimately result in power quality degradation. In this work, we use a scheduling optimization tool, in combination with a distribution feeder simulator, to investigate techniques that could mitigate the deleterious effect of “selfish” optimization, so that the high-penetration use of DERs to reduce operating costs remains advantageous while the quality of service and overall energy cost to the community is not affected.
Original languageEnglish
Title of host publication2016 IEEE Power and Energy Society General Meeting
Number of pages5
Publication date2016
ISBN (Electronic)978-1-5090-4168-8 , 978-1-5090-4169-5
Publication statusPublished - 2016
EventPower and Energy Society General Meeting (PESGM) - Sheraton Boston Hotel, Boston, United States
Duration: 17 Jul 201621 Jul 2016


ConferencePower and Energy Society General Meeting (PESGM)
LocationSheraton Boston Hotel
Country/TerritoryUnited States


  • Optimization
  • Microgrids
  • Power flow simulaiton
  • Distribution feeder
  • Distributed resources


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