Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/81376
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Title: Pricing-based demand response for a smart home with various types of household appliances considering customer satisfaction
Authors: Liu, Y
Xia, LY
Yao, GD
Bu, SQ 
Issue Date: 2019
Source: IEEE access, 2019, v. 7, p. 86463-86472
Abstract: A home energy management system (HEMS) can potentially enable demand response (DR) applications for residential customers. This paper presents a detailed pricing-based DR for a smart home with various types of household appliances considering customer satisfaction. A wide variety of household appliances with different characteristics, together with energy storage units (ESUs) and distributed energy resources (DERs) can be flexibly incorporated in the proposed scheme. Besides, with a developed satisfaction model suitable for different types of household appliances, the proposed HEMS can provide multiple flexible solutions with different user satisfaction levels to occupants. In addition, other different DR strategies such as demand-limit-based DR and injection-limit-based DR can be easily adapted to the formulated scheme in this work. The numerical results reported in this paper demonstrate the effectiveness of the proposed scheme. The proposed scheme is generally applicable and valuable for any other kinds of the smart home.
Keywords: Demand response (DR)
Distributed energy resource (DER)
Energy storage units (ESUs)
Home energy management system (HEMS)
Roof-mounted photovoltaic (PV)
Smart home
Smart meter
Smart grid
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE access 
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2019.2924110
Rights: This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/
The following publication Y. Liu, L. Xiao, G. Yao and S. Bu, "Pricing-Based Demand Response for a Smart Home With Various Types of Household Appliances Considering Customer Satisfaction," in IEEE Access, vol. 7, pp. 86463-86472, 2019 is available at https://dx.doi.org/10.1109/ACCESS.2019.2924110
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