Implementation of demand side management of a smart home using multi-agent system

Weixian Li, T. Logenthiran, W. L. Woo, Van Tung Phan, D. Srinivasan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

22 Citations (Scopus)

Abstract

Smart Home is a modern home that allows residents to have high-level comfort with effective use of electricity. These objectives can be achieved by applying suitable and promising optimization algorithms and techniques. This paper presents a demand side management strategy which was integrated into the existing Home Energy Management System (HEMS). Home energy management system is a Multi-Agent System (MAS) based decentralized architecture proposed by the authors. This intelligent energy management system was developed on an IEEE FIPA (Foundation for Intelligent Physical Agents) compliant multi-agent platform. This enables agents to communicate, interact and negotiate with energy sources and devices of the smart home to provide the most efficient energy usage and minimize the cost of electricity bills. This also results some peak load shaving of the power distribution system of the smart home. Simulation studies show the potential of proposed multi-agent system technique together with the demand side management strategy to provide the optimum solution for smart home energy management.

Original languageEnglish
Title of host publication2016 IEEE Congress on Evolutionary Computation, CEC 2016
PublisherIEEE
Pages2028-2035
Number of pages8
ISBN (Electronic)9781509006229, 9781509006236
ISBN (Print)9781509006243
DOIs
Publication statusPublished - 21 Nov 2016
Event2016 IEEE Congress on Evolutionary Computation, CEC 2016 - Vancouver, Canada
Duration: 24 Jul 201629 Jul 2016

Conference

Conference2016 IEEE Congress on Evolutionary Computation, CEC 2016
CountryCanada
CityVancouver
Period24/07/1629/07/16

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