Unified Algorithm for Demand-Side Appliance Commitment

Recent energy efficiency and conservation programs have created an unprecedented demand for home energy management systems (HEMS) in the residential sector aimed at reducing electricity consumption and saving on electricity bills. This paper gives a brief review of the basic algorithms found in the...

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Main Authors: Ahmad H. Besheer, Momen S. Agamy, Hassan M. Emara, Ahmed Bahgat
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/11/12/3337
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spelling doaj-7b9e296a92884530a5bb2eaae890e44b2020-11-24T21:45:52ZengMDPI AGEnergies1996-10732018-11-011112333710.3390/en11123337en11123337Unified Algorithm for Demand-Side Appliance CommitmentAhmad H. Besheer0Momen S. Agamy1Hassan M. Emara2Ahmed Bahgat3Environmental Studies and Research Institute, University of Sadat City, Sadat City 32897, EgyptElectrical Power and Machines Department, Cairo University, Giza 12613, EgyptElectrical Power and Machines Department, Cairo University, Giza 12613, EgyptElectrical Power and Machines Department, Cairo University, Giza 12613, EgyptRecent energy efficiency and conservation programs have created an unprecedented demand for home energy management systems (HEMS) in the residential sector aimed at reducing electricity consumption and saving on electricity bills. This paper gives a brief review of the basic algorithms found in the literature for HEMS that target optimum scheduling for home appliances participating in demand response (DR) programs. The working principles, as well as the pros and the cons, of these algorithms are explained and analyzed. Then, a unified algorithm to manage the hourly power consumption of home appliances on a daily basis is suggested using two scenarios. The first scenario aims to simultaneously achieve dual utility/customer benefits while avoiding the individual drawbacks of each presented algorithm. The second scenario aims to actively involve DR customers in making the optimum decision regarding their appliances in the face of their dynamic desires. The proposed algorithm is generic in the sense that it has the ability to achieve three different objectives for dual utility/customer benefits. Moreover, the paper takes into consideration a range of constraints, such as load priority, customer preferences, utility request, and electricity dynamic pricing scheme. The essential goal of this algorithm is not only to curtail or control the power consumption of appliances but to also shift it to a better price period based on different tariff rates. The results reflect the effectiveness of the proposed algorithm, which extends the previous findings in the literature by considering a wider range of limitations applied on HEMS.https://www.mdpi.com/1996-1073/11/12/3337demand responsehome energy management systemsappliance schedulingload curtailment
collection DOAJ
language English
format Article
sources DOAJ
author Ahmad H. Besheer
Momen S. Agamy
Hassan M. Emara
Ahmed Bahgat
spellingShingle Ahmad H. Besheer
Momen S. Agamy
Hassan M. Emara
Ahmed Bahgat
Unified Algorithm for Demand-Side Appliance Commitment
Energies
demand response
home energy management systems
appliance scheduling
load curtailment
author_facet Ahmad H. Besheer
Momen S. Agamy
Hassan M. Emara
Ahmed Bahgat
author_sort Ahmad H. Besheer
title Unified Algorithm for Demand-Side Appliance Commitment
title_short Unified Algorithm for Demand-Side Appliance Commitment
title_full Unified Algorithm for Demand-Side Appliance Commitment
title_fullStr Unified Algorithm for Demand-Side Appliance Commitment
title_full_unstemmed Unified Algorithm for Demand-Side Appliance Commitment
title_sort unified algorithm for demand-side appliance commitment
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2018-11-01
description Recent energy efficiency and conservation programs have created an unprecedented demand for home energy management systems (HEMS) in the residential sector aimed at reducing electricity consumption and saving on electricity bills. This paper gives a brief review of the basic algorithms found in the literature for HEMS that target optimum scheduling for home appliances participating in demand response (DR) programs. The working principles, as well as the pros and the cons, of these algorithms are explained and analyzed. Then, a unified algorithm to manage the hourly power consumption of home appliances on a daily basis is suggested using two scenarios. The first scenario aims to simultaneously achieve dual utility/customer benefits while avoiding the individual drawbacks of each presented algorithm. The second scenario aims to actively involve DR customers in making the optimum decision regarding their appliances in the face of their dynamic desires. The proposed algorithm is generic in the sense that it has the ability to achieve three different objectives for dual utility/customer benefits. Moreover, the paper takes into consideration a range of constraints, such as load priority, customer preferences, utility request, and electricity dynamic pricing scheme. The essential goal of this algorithm is not only to curtail or control the power consumption of appliances but to also shift it to a better price period based on different tariff rates. The results reflect the effectiveness of the proposed algorithm, which extends the previous findings in the literature by considering a wider range of limitations applied on HEMS.
topic demand response
home energy management systems
appliance scheduling
load curtailment
url https://www.mdpi.com/1996-1073/11/12/3337
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