By Topic

Towards a smart home energy management system - A dynamic programming approach

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Henning Tischer ; Institute of Automatic Control Engineering (LSR), Technische Universität München, D-80290, Germany ; Gregor Verbic

This paper presents an energy management system (EMS) for a smart home, which is equipped with a fuel cell used for heat and power cogeneration, a PV system, an electric car, a battery and a storage unit for thermal energy. The EMS is computed using dynamic programming and considers the financial consequences of energy demand and generation and the availability of the electric car according to the driver's preferences and habits. We evaluate the performance of the proposed EMS with numerical simulations and compare it to a simpler management system that aims to generate as much electrical energy as possible within the household. The results show that the presented approach enables the response of demand and generation in the household to the supply conditions of electricity. Additionally, we describe and discuss a way to decrease the computation time of the EMS by approximating the influence of random variables.

Published in:

Innovative Smart Grid Technologies Asia (ISGT), 2011 IEEE PES

Date of Conference:

13-16 Nov. 2011