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Finding optimal schedules in a home energy management system
Date
2020-05-01
Author
Merdanoglu, Hakan
Yakici, Ertan
Dogan, O. Tufan
Duran, Serhan
Karatas, Mumtaz
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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In this study, we model and solve the scheduling problem embedded in a home energy management system (HEMS), which enables users to overcome the major obstacles in implementing demand response programs. The problem aims to find the minimum energy cost while taking into account the time-varying prices, generation from renewable sources, usage demands for each appliance in household, battery storage capacity and grid constraints. Due to the uncertainties in supply, demand and electricity price, a stochastic optimization approach is utilized. A solution to the problem determines schedules of the operating periods of household appliances, charging cycles of battery storage and plug-in electric vehicles (EVs) and electricity purchase and sale periods for the following days in the decision horizon. We analyze both effects of different price tariffs on HEMS and conduct simulations in order to compare two cases for a green house in terms of energy consumption, where first case is when the house is supported by HEMS and the second one is when the house has no decision support system. Experimental results support the benefit of the usage of the proposed model in a HEMS.
Subject Keywords
Electrical and Electronic Engineering
,
Energy Engineering and Power Technology
URI
https://hdl.handle.net/11511/43714
Journal
ELECTRIC POWER SYSTEMS RESEARCH
DOI
https://doi.org/10.1016/j.epsr.2020.106229
Collections
Department of Industrial Engineering, Article
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H. Merdanoglu, E. Yakici, O. T. Dogan, S. Duran, and M. Karatas, “Finding optimal schedules in a home energy management system,”
ELECTRIC POWER SYSTEMS RESEARCH
, pp. 0–0, 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/43714.