@inproceedings{ec57887444a947f69cf865fab04d8acb,
title = "Multi-agent system-based distributed energy management in smart grid under uncertainty",
abstract = "This paper proposes a robust distributed energy management scheme for smart grid operation under uncertainty. In this proposed approach, the centralized optimization was formulated with incremental cost based consensus algorithm and solved in a distributed manner. A multi-agent system was developed in Java Agent Development (JADE) framework to communicate with the neighbour agents in a privacy-preserving environment while solving for the distributed optimization problem. The uncertainty of the load and renewable energy generators was also statistically modelled in this paper. The result showed that the proposed algorithm converges very fast compared to the existing algorithms and it was compared with the centralized approach to justify its effectiveness of the proposed algorithm.",
author = "Ullah, {Md Habib} and Anas Alseyat and Park, {Jae Do}",
note = "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.2019.8912976",
language = "English (US)",
series = "2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3462--3468",
booktitle = "2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019",
address = "United States",
}