Intelligent multi-agent system for smart home energy management

Li, Weixian, Logenthiran, Thillainathan and Woo, Wai Lok (2016) Intelligent multi-agent system for smart home energy management. In: 2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA). IEEE. ISBN 978-1-5090-1238-1

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/ISGT-Asia.2015.7386985

Abstract

Smart grid literature shows a potential way to implement smart grid using Multi-Agent System (MAS) which is a distributed computational intelligence technique that comprises of multiple interactive intelligent agents in an environment. This paper presents an application of MAS technique for improving the efficiency and optimizing the energy usage of smart homes. The smart appliances in a smart home are modeled as agents and optimization algorithms are used in decision making of the agents. These agents work together to reduce energy consumption while striking a balance between consumers comfort, energy cost and peak energy saving in the distribution grid. Such a way, a Home Energy Management System (HEMS) was designed and developed using MAS. This research enables smart homes to communicate, interact and negotiate with energy sources and devices in smart homes that achieve maximum overall energy efficiency and minimum electricity bill. Simulation studies carried out on the developed MAS have shown that it has the potential to provide the optimum solutions. How MAS communication influences on decision making of the agents and getting the optimum solution is also demonstrated in this paper.

Item Type: Book Section
Uncontrolled Keywords: Smart grid, Smart home, Multi-agent system, Demand side management, Supply side management, Optimization, Electricity bill
Subjects: G900 Others in Mathematical and Computing Sciences
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Becky Skoyles
Date Deposited: 05 Apr 2019 10:39
Last Modified: 05 Apr 2019 10:39
URI: http://nrl.northumbria.ac.uk/id/eprint/38788

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