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Energies 2016, 9(5), 381; doi:10.3390/en9050381

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

School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
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Academic Editor: Giovanni Pau
Received: 31 March 2016 / Revised: 13 May 2016 / Accepted: 13 May 2016 / Published: 19 May 2016
(This article belongs to the Special Issue Smart Home Energy Management)
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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. View Full-Text
Keywords: Lyapunov optimization; smart home; event triggering; energy management Lyapunov optimization; smart home; event triggering; energy management
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Fan, W.; Liu, N.; Zhang, J. An Event-Triggered Online Energy Management Algorithm of Smart Home: Lyapunov Optimization Approach. Energies 2016, 9, 381.

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