An optimal power scheduling for smart home appliances with smart battery using grey Wolf optimizer

Sharif Naser Makhadmeh; Ahamad Tajudin Khader; Mohammed Azmi Al-Betar; Syibrah Naim

doi:10.1109/ICCSCE.2018.8685003

An optimal power scheduling for smart home appliances with smart battery using grey Wolf optimizer

Sharif Naser Makhadmeh
, Ahamad Tajudin Khader
, Mohammed Azmi Al-Betar
, Syibrah Naim

Universiti Sains Malaysia
Al-Balqa Applied University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

28 Scopus citations

Abstract

In this paper, Grey Wolf optimizer (GWO) is adapted for Power Scheduling Problem (PSP) of Smart Home with Smart Battery. GWO is the recent metaheuristic swarm-based optimization method stemmed by grey pack behaviour in hunting process. It has been successfully tailored to a wide variety of real-world optimization problems. PSP is tackled by scheduling the home appliances over a certain time horizon to minimize both the electricity bill and the peak-to-average ratio (PAR) as well as to improve the users comfort level. A new formulation for smart battery (SB) and its impact to achieve the objectives are also utilized and considered as the main part of this paper. The simulation results prove the efficiency of SB in minimizing the electricity bill and PAR and improving the user comfort. Furthermore, GWO proves its efficiency in obtaining the best schedule results in comparison with genetic algorithm (GA) results. In conclusion, SB has a high impact in power scheduling of appliances for smart home.

Original language	English
Title of host publication	Proceedings - 8th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	76-81
Number of pages	6
ISBN (Electronic)	9781538663240
DOIs	https://doi.org/10.1109/ICCSCE.2018.8685003
State	Published - 8 Apr 2019
Externally published	Yes
Event	8th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2018 - Penang, Malaysia Duration: 23 Nov 2018 → 25 Nov 2018

Publication series

Name	Proceedings - 8th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2018

Conference

Conference	8th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2018
Country/Territory	Malaysia
City	Penang
Period	23/11/18 → 25/11/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 15 Life on Land

Keywords

Grey Wolf Optimizer
Optimization
Power Scheduling Problem
Smart Battery

Access to Document

10.1109/ICCSCE.2018.8685003

Cite this

Makhadmeh, S. N., Khader, A. T., Al-Betar, M. A., & Naim, S. (2019). An optimal power scheduling for smart home appliances with smart battery using grey Wolf optimizer. In Proceedings - 8th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2018 (pp. 76-81). Article 8685003 (Proceedings - 8th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCSCE.2018.8685003

Makhadmeh, Sharif Naser ; Khader, Ahamad Tajudin ; Al-Betar, Mohammed Azmi et al. / An optimal power scheduling for smart home appliances with smart battery using grey Wolf optimizer. Proceedings - 8th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2018. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 76-81 (Proceedings - 8th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2018).

@inproceedings{b275ffb908334656b22297484090b097,

title = "An optimal power scheduling for smart home appliances with smart battery using grey Wolf optimizer",

abstract = "In this paper, Grey Wolf optimizer (GWO) is adapted for Power Scheduling Problem (PSP) of Smart Home with Smart Battery. GWO is the recent metaheuristic swarm-based optimization method stemmed by grey pack behaviour in hunting process. It has been successfully tailored to a wide variety of real-world optimization problems. PSP is tackled by scheduling the home appliances over a certain time horizon to minimize both the electricity bill and the peak-to-average ratio (PAR) as well as to improve the users comfort level. A new formulation for smart battery (SB) and its impact to achieve the objectives are also utilized and considered as the main part of this paper. The simulation results prove the efficiency of SB in minimizing the electricity bill and PAR and improving the user comfort. Furthermore, GWO proves its efficiency in obtaining the best schedule results in comparison with genetic algorithm (GA) results. In conclusion, SB has a high impact in power scheduling of appliances for smart home.",

keywords = "Grey Wolf Optimizer, Optimization, Power Scheduling Problem, Smart Battery",

author = "Makhadmeh, \{Sharif Naser\} and Khader, \{Ahamad Tajudin\} and Al-Betar, \{Mohammed Azmi\} and Syibrah Naim",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 8th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2018 ; Conference date: 23-11-2018 Through 25-11-2018",

year = "2019",

month = apr,

day = "8",

doi = "10.1109/ICCSCE.2018.8685003",

language = "English",

series = "Proceedings - 8th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "76--81",

booktitle = "Proceedings - 8th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2018",

address = "United States",

}

Makhadmeh, SN, Khader, AT, Al-Betar, MA & Naim, S 2019, An optimal power scheduling for smart home appliances with smart battery using grey Wolf optimizer. in Proceedings - 8th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2018., 8685003, Proceedings - 8th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2018, Institute of Electrical and Electronics Engineers Inc., pp. 76-81, 8th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2018, Penang, Malaysia, 23/11/18. https://doi.org/10.1109/ICCSCE.2018.8685003

An optimal power scheduling for smart home appliances with smart battery using grey Wolf optimizer. / Makhadmeh, Sharif Naser; Khader, Ahamad Tajudin; Al-Betar, Mohammed Azmi et al.
Proceedings - 8th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 76-81 8685003 (Proceedings - 8th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An optimal power scheduling for smart home appliances with smart battery using grey Wolf optimizer

AU - Makhadmeh, Sharif Naser

AU - Khader, Ahamad Tajudin

AU - Al-Betar, Mohammed Azmi

AU - Naim, Syibrah

PY - 2019/4/8

Y1 - 2019/4/8

N2 - In this paper, Grey Wolf optimizer (GWO) is adapted for Power Scheduling Problem (PSP) of Smart Home with Smart Battery. GWO is the recent metaheuristic swarm-based optimization method stemmed by grey pack behaviour in hunting process. It has been successfully tailored to a wide variety of real-world optimization problems. PSP is tackled by scheduling the home appliances over a certain time horizon to minimize both the electricity bill and the peak-to-average ratio (PAR) as well as to improve the users comfort level. A new formulation for smart battery (SB) and its impact to achieve the objectives are also utilized and considered as the main part of this paper. The simulation results prove the efficiency of SB in minimizing the electricity bill and PAR and improving the user comfort. Furthermore, GWO proves its efficiency in obtaining the best schedule results in comparison with genetic algorithm (GA) results. In conclusion, SB has a high impact in power scheduling of appliances for smart home.

AB - In this paper, Grey Wolf optimizer (GWO) is adapted for Power Scheduling Problem (PSP) of Smart Home with Smart Battery. GWO is the recent metaheuristic swarm-based optimization method stemmed by grey pack behaviour in hunting process. It has been successfully tailored to a wide variety of real-world optimization problems. PSP is tackled by scheduling the home appliances over a certain time horizon to minimize both the electricity bill and the peak-to-average ratio (PAR) as well as to improve the users comfort level. A new formulation for smart battery (SB) and its impact to achieve the objectives are also utilized and considered as the main part of this paper. The simulation results prove the efficiency of SB in minimizing the electricity bill and PAR and improving the user comfort. Furthermore, GWO proves its efficiency in obtaining the best schedule results in comparison with genetic algorithm (GA) results. In conclusion, SB has a high impact in power scheduling of appliances for smart home.

KW - Grey Wolf Optimizer

KW - Optimization

KW - Power Scheduling Problem

KW - Smart Battery

UR - https://www.scopus.com/pages/publications/85065029329

U2 - 10.1109/ICCSCE.2018.8685003

DO - 10.1109/ICCSCE.2018.8685003

M3 - Conference contribution

AN - SCOPUS:85065029329

T3 - Proceedings - 8th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2018

SP - 76

EP - 81

BT - Proceedings - 8th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 8th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2018

Y2 - 23 November 2018 through 25 November 2018

ER -

Makhadmeh SN, Khader AT, Al-Betar MA, Naim S. An optimal power scheduling for smart home appliances with smart battery using grey Wolf optimizer. In Proceedings - 8th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 76-81. 8685003. (Proceedings - 8th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2018). doi: 10.1109/ICCSCE.2018.8685003

An optimal power scheduling for smart home appliances with smart battery using grey Wolf optimizer

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this