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

Li, Weixian, Logenthiran, T., Woo, Wai Lok, Phan, Van-Tung and Srinivasan, D. (2016) Implementation of demand side management of a smart home using multi-agent system. In: CEC 2016 - 2016 IEEE Congress on Evolutionary Computation, 24th - 29th July 2016, Vancouver, Canada.

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Demand side management, Electricity bills, Home energy management system, Multi-agent system, Power distribution system, Smart home
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 09 Apr 2019 09:23
Last Modified: 10 Oct 2019 20:18

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