Residential Demand Response Scheduling Under Hybrid Tariffs Using Novel Multi-Objective Chemical Reaction Optimization Algorithm

The scheduling of smart home appliance electricity tasks can effectively distribute power loads and enhance the operational efficiency and stability of power grids. Additionally, effectively shifting the working hours of household appliances to off-peak hours with lower electricity prices could redu...

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Veröffentlicht in:	IEEE access Jg. 12; S. 135185 - 135206
Hauptverfasser:	Cheng, Zheng, Lei, Weidong, Zhang, Shibohua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Bi-objective optimization Chemical reactions Cost analysis Costs Decoding Demand response Electrical loads Electricity Electricity consumption Energy management home appliance scheduling Home appliances Household appliances hybrid pricing tariffs Multiple objective analysis novel chemical reaction optimization algorithm Operators (mathematics) Optimization Peak load Pricing Residential energy Schedules Scheduling Smart buildings Smart homes Tariffs Task scheduling Time of use electricity pricing Working hours
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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