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Energies 2018, 11(6), 1426; https://doi.org/10.3390/en11061426

Exploiting Game Theoretic Based Coordination Among Appliances in Smart Homes for Efficient Energy Utilization

1
COMSATS Institute of Information Technology, Islamabad 44000, Pakistan
2
Department of Computer Science, Federal Urdu University of Arts, Science and Technology, Islamabad 44000, Pakistan
3
College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia
*
Author to whom correspondence should be addressed.
Received: 30 March 2018 / Revised: 29 May 2018 / Accepted: 30 May 2018 / Published: 2 June 2018
(This article belongs to the Special Issue Energy Economy, Sustainable Energy and Energy Saving)
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Abstract

In this paper, a demand side management (DSM) scheme is used to make energy utilization more efficient. The DSM scheme encourages the consumer to change energy utilization patterns which benefit the utility. In return, the consumer gets some incentives from the utility. The objectives of the proposed DSM system include: electricity bill reduction, reduced peak to average ratio (PAR), and maximization of consumer comfort. In the proposed system, the electrical devices are scheduled by using elephant herding optimization (EHO) and adaptive cuckoo search (ACS) algorithms. Moreover, a new algorithm called hybrid elephant adaptive cuckoo (HEAC) is proposed which uses the features of both former algorithms. A comparison of these algorithms is also presented in terms of three performance parameters. The HEAC shows better performance as compared to EHO and ACS which is evident from the simulation results. Different electricity tariffs are introduced by the utility to provide incentives to the consumers. A regional based time of use (ToU) tariff is used to make the system effective for different types of regions. Moreover, this enables the consumers to act according to the regional environment. The coordination can play a very important role in cost reduction as well as in consumer comfort maximization. The coordination is incorporated among the electrical devices by using cooperative game theory (GT) and dynamic programming (DP). Extensive simulations are performed to show the effectiveness of the proposed scheme in terms of electricity utilization cost, PAR reduction, and consumer comfort maximization. View Full-Text
Keywords: smart grid; demand side management (DSM); heuristic techniques; game theory (GT); coordination, embedded system smart grid; demand side management (DSM); heuristic techniques; game theory (GT); coordination, embedded system
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Rahim, M.H.; Khalid, A.; Javaid, N.; Ashraf, M.; Aurangzeb, K.; Altamrah, A.S. Exploiting Game Theoretic Based Coordination Among Appliances in Smart Homes for Efficient Energy Utilization. Energies 2018, 11, 1426.

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