Energy management algorithm for smart home with renewable energy sources
- 1 May 2013
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 4th International Conference on Power Engineering, Energy and Electrical Drives
- p. 1753-1758
- https://doi.org/10.1109/powereng.2013.6635883
Abstract
Meeting increased power demand and solving the integration problems of renewable energy sources do not seem to be possible with today's power grid infrastructure. In order to overcome these problems, Smart Grid is the most promising concept which is more reliable, flexible, controllable and environmental friendly. Home energy management (HEM) system, an important part of smart grid, provides a number of benefits such as savings in the electricity bill, reduction in peak demand and meeting the demand side requirements. In this study, a new home energy management algorithm is proposed for smart home having renewable sources. Management mechanism developed uses the battery state of charge (SOC) level, power grid availability and multi-rate tariff to decrease the energy cost in the customer bill. Load and source data is obtained from the real smart house laboratory built in Yildiz Technical University, Turkey. Simulation results obtained from MATLAB/Simulink environment demonstrate the effectiveness of the proposed algorithm in decreasing the electricity bill of customer.Keywords
This publication has 6 references indexed in Scilit:
- Robust control design for integration of energy storage into frequency regulationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2012
- An Algorithm for Intelligent Home Energy Management and Demand Response AnalysisIEEE Transactions on Smart Grid, 2012
- Resource allocation in smart homes based on Banker's algorithmPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- An approach for demand response to alleviate power system stress conditionsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Peak-load shaving in smart homes via online schedulingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- On the design and implementation of a home energy management systemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011