Unified Algorithm for Demand-Side Appliance Commitment

Ahmad H. Besheer, Momen S. Agamy, Hassan M. Emara and Ahmed Bahgat
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Ahmad H. Besheer: Environmental Studies and Research Institute, University of Sadat City, Sadat City 32897, Egypt
Momen S. Agamy: Electrical Power and Machines Department, Cairo University, Giza 12613, Egypt
Hassan M. Emara: Electrical Power and Machines Department, Cairo University, Giza 12613, Egypt
Ahmed Bahgat: Electrical Power and Machines Department, Cairo University, Giza 12613, Egypt

Energies, 2018, vol. 11, issue 12, 1-18

Abstract: 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.

Keywords: demand response; home energy management systems; appliance scheduling; load curtailment (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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