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Open AccessArticle

An Innovative Home Energy Management Model with Coordination among Appliances using Game Theory

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Department of Computer Science, COMSATS University Islamabad, Islamabad 44000, Pakistan
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Department of Computer Science, College of Computer and Information Systems, Umm Al-Qura University, Makkah 11692, Saudi Arabia
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Computer Information Science, Higher Colleges of Technology, Fujairah 4114, UAE
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Department of Electrical Engineering, Institute of Space Technology (IST), Islamabad 44000, Pakistan
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Department of Computer System Engineering, University of Engineering and Technology, Peshawar 25000, Pakistan
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Author to whom correspondence should be addressed.
Sustainability 2019, 11(22), 6287; https://doi.org/10.3390/su11226287
Received: 14 October 2019 / Revised: 31 October 2019 / Accepted: 5 November 2019 / Published: 8 November 2019
(This article belongs to the Special Issue Artificial Intelligence for Renewable Energy Systems)
The feature of bidirectional communication in a smart grid involves the interaction between consumer and utility for optimizing the energy consumption of the users. For optimal management of the energy at the end user, several demand side management techniques are implemented. This work proposes a home energy management system, where consumption of household appliances is optimized using a hybrid technique. This technique is developed from cuckoo search algorithm and earthworm algorithm. However, there is a problem in such home energy management systems, that is, an uncertain behavior of the user that can lead to force start or stop of an appliance, deteriorating the purpose of scheduling of appliances. In order to solve this issue, coordination among appliances for rescheduling is incorporated in home energy management system using game theory. The appliances of the home are categorized in three different groups and their electricity cost is computed through the real-time pricing signals. Optimization schemes are implemented and their performance is scrutinized with and without coordination among the appliances. Simulation outcomes display that our proposed technique has minimized the total electricity cost by 50.6% as compared to unscheduled cost. Moreover, coordination among appliances has helped in increasing the user comfort by reducing the waiting time of appliances. The Shapley value has outperformed the Nash equilibrium and zero sum by achieving the maximum reduction in waiting time of appliances. View Full-Text
Keywords: cuckoo search algorithm; demand side management; game theory; smart grid; earthworm algorithm; heuristic techniques cuckoo search algorithm; demand side management; game theory; smart grid; earthworm algorithm; heuristic techniques
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Jamil, A.; Alghamdi, T.A.; Khan, Z.A.; Javaid, S.; Haseeb, A.; Wadud, Z.; Javaid, N. An Innovative Home Energy Management Model with Coordination among Appliances using Game Theory. Sustainability 2019, 11, 6287.

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