An Event-Triggered Online Energy Management Algorithm of Smart Home: Lyapunov Optimization Approach

Wei Fan, Nian Liu and Jianhua Zhang
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Wei Fan: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
Nian Liu: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
Jianhua Zhang: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China

Energies, 2016, vol. 9, issue 5, 1-24

Abstract: 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: Lyapunov optimization; smart home; event triggering; energy management (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: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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