@inproceedings{a1c1704638b345e48501f54f5c8da98c,
title = "Optimal Real-time Dispatch for Integrated Energy Systems: An Ontology-Based Multi-Agent Approach",
abstract = "With the emerging of small-scale integrated energy systems (IESs), there are significant potentials to increase the functionality of a typical demand-side management (DSM) strategy and typical implementation of building-level distributed energy resources (DERs). By integrating DSM and DERs into a cohesive, networked package that fully utilizes smart energy-efficient end-use devices, advanced building control/automation systems, and integrated communications architectures, it is possible to efficiently manage energy and comfort at the end-use location. In this paper, an ontology-driven multi-agent control system with intelligent optimizers is proposed for optimal real-time dispatch of an integrated building and microgrid system considering coordinated demand response (DR) and DERs management. The optimal dispatch problem is formulated as a mixed integer nonlinear programing problem (MINLP) and solved through an agent-based approach. Several computer simulations are also presented to show the effectiveness of the proposed approach over the conventional methods.",
keywords = "Demand response, Distributed energy resources, Multi-agent system (MAS), Smart microgrids",
author = "Amjad Anvari-Moghaddam and Guerrero, {Josep M.} and Ashkan Rahimi-Kian and Mirian, {Maryam S.}",
year = "2016",
month = jun,
doi = "10.1109/PEDG.2016.7526997",
language = "English",
series = "IEEE International Symposium on Power Electronics for Distributed Generation Systems (PEDG) ",
pages = "1--7",
booktitle = "7th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), 2016",
publisher = "IEEE Press",
note = "the 7th International Symposium on Power Electronics for Distributed Generation Systems (PEDG 2016) ; Conference date: 27-06-2016 Through 30-06-2016",
}