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Article
Efficiency Assessment of a Residential DC Nanogrid with Low and High Distribution Voltages using Realistic Data
Proceedings of the IEEE Green Technologies Conference (2021, Denver, CO)
  • Saeed Habibi
  • Ramin Rahimi
  • Pourya Shamsi, Missouri University of Science and Technology
  • Mehdi Ferdowsi, Missouri University of Science and Technology
Abstract

Direct Current (DC) power distribution has gained attention in the Residential Nanogrids (RNGs) due to the substantial increase in the number of roof-top Photovoltaic (PV) systems and internally DC appliances used in buildings. Using DC distribution improves the efficiency of the RNGs compared to AC distribution. This paper investigated the efficiency of a DC RNG for low and high distribution voltage levels by exploring reasons for power losses. The studied DC RNG consisted of various types of local loads, on-site PV generation, and battery storage systems. The realistic load, PV profiles, and converter efficiency curves were used to make the analysis more accurate. In addition, three load profiles with low, medium, and high power consumptions were considered to study the load impacts on the overall system efficiency.

Meeting Name
2021 IEEE Green Technologies Conference, GreenTech (2021: Apr. 7-9, Denver, CO)
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
  • DC Distribution,
  • DC-DC Converter,
  • Efficiency,
  • Residential Nanogrid
International Standard Book Number (ISBN)
978-172819139-3
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2021 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
4-9-2021
Publication Date
09 Apr 2021
Citation Information
Saeed Habibi, Ramin Rahimi, Pourya Shamsi and Mehdi Ferdowsi. "Efficiency Assessment of a Residential DC Nanogrid with Low and High Distribution Voltages using Realistic Data" Proceedings of the IEEE Green Technologies Conference (2021, Denver, CO) (2021) p. 574 - 579 ISSN: 2166-5478
Available at: http://works.bepress.com/mehdi-ferdowsi/214/