Next Article in Journal
Comparative Study of the Subsurface Thermal Structure in Northern Honshu, Japan, Based on Normalized Temperature Data and Solute Geothermometers
Next Article in Special Issue
Online Air-Conditioning Energy Management under Coalitional Game Framework in Smart Community
Previous Article in Journal
Analysis and Minimization of Output Current Ripple for Discontinuous Pulse-Width Modulation Techniques in Three-Phase Inverters
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle
Energies 2016, 9(5), 381;

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
Author to whom correspondence should be addressed.
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)
Full-Text   |   PDF [923 KB, uploaded 19 May 2016]   |  


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

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Fan, W.; Liu, N.; Zhang, J. An Event-Triggered Online Energy Management Algorithm of Smart Home: Lyapunov Optimization Approach. Energies 2016, 9, 381.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top