Uncertainty mitigation in feeder level power loss reduction with distributed generation

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Authors
Manoharan, Arun Kaarthick
Hettiarachchige-Don, Anton C. Sameepa
Aravinthan, Visvakumar
Advisors
Issue Date
2019
Type
Conference paper
Keywords
Distribution Generation , Fuzzy optimization , Power loss reduction , Smart Grid , Uncertainty
Research Projects
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Citation
A. Manoharan, A. Hettiarachchige-Don and V. Aravinthan, "Uncertainty Mitigation in Feeder Level Power Loss Reduction with Distributed Generation," 2019 IEEE Green Technologies Conference(GreenTech), Lafayette, LA, USA, 2019, pp. 1-4
Abstract

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.

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Publisher
IEEE
Journal
Book Title
Series
IEEE Green Technologies Conference(GreenTech);2019
PubMed ID
DOI
ISSN
2166-5478
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