Next Article in Journal
An Analytical and Numerical Study of Magnetic Spring Suspension with Energy Recovery Capabilities
Next Article in Special Issue
Non-Intrusive Load Monitoring Based on Novel Transient Signal in Household Appliances with Low Sampling Rate
Previous Article in Journal
Adaptive Unscented Kalman Filter with Correntropy Loss for Robust State of Charge Estimation of Lithium-Ion Battery
Previous Article in Special Issue
Energy Sustainability in Smart Cities: Artificial Intelligence, Smart Monitoring, and Optimization of Energy Consumption
Article Menu
Issue 11 (November) cover image

Export Article

Open AccessArticle
Energies 2018, 11(11), 3125; https://doi.org/10.3390/en11113125

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

1
Department of Computer Sciences, COMSATS University Islamabad, Islamabad 44000, Pakistan
2
College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia
3
Computer Information Science, Higher Colleges of Technology, Fujairah 4114, UAE
4
Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad 44000, Pakistan
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.
*
Author to whom correspondence should be addressed.
Received: 14 October 2018 / Revised: 30 October 2018 / Accepted: 6 November 2018 / Published: 12 November 2018
Full-Text   |   PDF [1709 KB, uploaded 22 November 2018]   |  

Abstract

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
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top