@inproceedings{5f4b9e0ed61b46cca99e0a7b9da17234,
title = "Peer-to-peer energy arbitrage in prosumer-based smart residential distribution system",
abstract = "Peer-to-peer (P2P) energy arbitrage has emerged as a next-generation energy management system and extended the benefits of traditional prosumers (producer+buyer) into the distribution system. It allows the prosumers to participate in energy trading among themselves beside the utility grid to maximize energy utilization. However, it is challenging for the prosumers to make the optimal decision in trading with limited information at the same time in a secured platform. This paper proposes a distributed P2P energy arbitrage model for prosumer-based smart residential distribution systems using dual decomposition distributed optimization approach. The proposed system provides a privacy-preserving environment for the prosumers to participate in the trading in a distributed manner through a multi-agent system developed in Java Agent Development (JADE) framework. The prosumers share only partial information to settle the trade. The result shows that the algorithm converges very fast and facilitates easy implementation. The economic benefits of the prosumers are analyzed to verify the effectiveness of the proposed algorithm.",
author = "Ullah, {Md Habib} and Park, {Jae Do}",
note = "Funding Information: This work was supported by National Science Foundation grant ECCS-1554626. Publisher Copyright: {\textcopyright} 2019 IEEE.; 11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019 ; Conference date: 29-09-2019 Through 03-10-2019",
year = "2019",
month = sep,
doi = "10.1109/ECCE.2019.8913087",
language = "English (US)",
series = "2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "508--514",
booktitle = "2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019",
address = "United States",
}