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Towards Effective and Efficient Energy Management of Single Home and a Smart Community Exploiting Heuristic Optimization Algorithms with Critical Peak and Real-Time Pricing Tariffs in Smart Grids

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Department of Computer Sciences, COMSATS University Islamabad, Islamabad 44000, Pakistan
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College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia
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Computer Information Science, Higher Colleges of Technology, Fujairah 4114, UAE
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Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad 44000, Pakistan
*
Author to whom correspondence should be addressed.
This paper is an extended version of paper published in 2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA), Kraków, Poland, 16–18 May 2018.
Energies 2018, 11(11), 3125; https://doi.org/10.3390/en11113125
Received: 14 October 2018 / Revised: 30 October 2018 / Accepted: 6 November 2018 / Published: 12 November 2018
Nowadays, automated appliances are exponentially increasing. Therefore, there is a need for a scheme to accomplish the electricity demand of automated appliances. Recently, many Demand Side Management (DSM) schemes have been explored to alleviate Electricity Cost (EC) and Peak to Average Ratio (PAR). In this paper, energy consumption problem in a residential area is considered. To solve this problem, a heuristic based DSM technique is proposed to minimize EC and PAR with affordable user’s Waiting Time (WT). In heuristic techniques: Bacterial Foraging Optimization Algorithm (BFOA) and Flower Pollination Algorithm (FPA) are implemented. Furthermore, a novel heuristic algorithm has been proposed by merging the best features of the aforementioned existing algorithms. We test the proposed scheme on single homes and on smart community (involving multiple households). Different Operational Time Intervals (OTIs) are also considered for implementation. We have performed simulations for validating the our scheme. Results clearly demonstrate that the proposed Hybrid Bacterial Flower Pollination Algorithm (HBFPA) shows efficacy for EC and for reduction of PAR with reasonable user WT. View Full-Text
Keywords: scheduling; demand side management; smart grid; home energy management scheduling; demand side management; smart grid; home energy management
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Awais, M.; Javaid, N.; Aurangzeb, K.; Haider, S.I.; Khan, Z.A.; Mahmood, D. Towards Effective and Efficient Energy Management of Single Home and a Smart Community Exploiting Heuristic Optimization Algorithms with Critical Peak and Real-Time Pricing Tariffs in Smart Grids. Energies 2018, 11, 3125.

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