LAPSE:2018.1076
Published Article
LAPSE:2018.1076
An Event-Triggered Online Energy Management Algorithm of Smart Home: Lyapunov Optimization Approach
Wei Fan, Nian Liu, Jianhua Zhang
November 27, 2018
As an important component of the smart grid on the user side, a home energy management system is the core of optimal operation for a smart home. In this paper, the energy scheduling problem for a household equipped with photovoltaic devices was investigated. An online energy management algorithm based on event triggering was proposed. The Lyapunov optimization method was adopted to schedule controllable load in the household. Without forecasting related variables, real-time decisions were made based only on the current information. Energy could be rapidly regulated under the fluctuation of distributed generation, electricity demand and market price. The event-triggering mechanism was adopted to trigger the execution of the online algorithm, so as to cut down the execution frequency and unnecessary calculation. A comprehensive result obtained from simulation shows that the proposed algorithm could effectively decrease the electricity bills of users. Moreover, the required computational resource is small, which contributes to the low-cost energy management of a smart home.
Keywords
energy management, event triggering, Lyapunov optimization, smart home
Suggested Citation
Fan W, Liu N, Zhang J. An Event-Triggered Online Energy Management Algorithm of Smart Home: Lyapunov Optimization Approach. (2018). LAPSE:2018.1076
Author Affiliations
Fan W: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
Liu N: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China [ORCID]
Zhang J: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
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Journal Name
Energies
Volume
9
Issue
5
Article Number
E381
Year
2016
Publication Date
2016-05-19
Published Version
ISSN
1996-1073
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PII: en9050381, Publication Type: Journal Article
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LAPSE:2018.1076
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doi:10.3390/en9050381
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Nov 27, 2018
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Nov 27, 2018
 
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Calvin Tsay
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