Uncertainty mitigation in feeder level power loss reduction with distributed generation

Arun Kaarthick Manoharan, Anton Hettiarachchige-Don, Visvakumar Aravinthan

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The grid is moving towards a system of decentralized distributed generation using a large number of small scale renewable generation resources. These resources are stochastic in nature and therefore have to be continuously monitored and controlled for better system operation. This calls for an Information and Communication Technology (ICT) infrastructure that is able to provide continuous generation and load data. However, losses in communication is always possible. The work in this paper tries to come up with a DG control scheme that makes it possible for the system to make meaningful decisions even during communication losses. Proposed here is a feeder level loss minimization control scheme that uses a possibilistic approach to come up with DG set points in the absence of continuous system data.

Original languageEnglish
Title of host publication2019 IEEE Green Technologies Conference, GreenTech 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9781728114576
ISBN (Print)9781728114583
Publication statusPublished - 22 Jul 2019
Event2019 IEEE Green Technologies Conference, GreenTech 2019 - Lafayette, United States
Duration: 3 Apr 20196 Apr 2019

Publication series

NameIEEE Green Technologies Conference
ISSN (Print)2166-546X
ISSN (Electronic)2166-5478


Conference2019 IEEE Green Technologies Conference, GreenTech 2019
Country/TerritoryUnited States


  • Distribution Generation
  • fuzzy optimization
  • power loss reduction
  • Smart Grid
  • Uncertainty

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