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Real time energy management system for smart buildings to minimize the electricity bill

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journal contribution
posted on 17.10.2017, 13:58 by Rajeev Kumar Chauhan, Bharat Singh Rajpurohit, Lingfeng Wang, Francisco Gonzalez-Longatt, S.N. Singh
This paper presents a real time price based energy management system for DC microgrid. The DC distribution system is considered as a prospective system according to the increase of DC loads and DC output type distribution energy resources (DERs) such as photovoltaic (PV) systems, battery bank (BB), hybrid car (HC) and fuel cells. The control objective is to achieve the optimal cost of energy. The proposed control scheme is developed based on the source as well as load scheduling of the DC microgrid. The source scheduling algorithm is based on the selection of cheapest power source to supply the load of DC microgrid and achieve the optimal electricity price. The BB and HC charges in regular hours at the less electricity price to supply the future load during the high electricity price of grid. The load scheduling algorithm shift the deferrable load of the building from peak to the regular hours to obtain the lower cost of energy for building. The proposed scheme significantly decreases peak demand, which is main cause of load shedding. Dynamic simulation is presented to access the control performance with price fluctuations and robustness of the system.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

International Journal of Emerging Electric Power Systems

Volume

18

Issue

3

Citation

CHAUHAN, R.K. ... et al, 2017. Real time energy management system for smart buildings to minimize the electricity bill. International Journal of Emerging Electric Power Systems, 18 (3), doi: 10.1515/ijeeps-2016-0238

Publisher

© Walter de Gruyter GmbH

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

01/05/2017

Publication date

2017

Notes

This paper was accepted for publication in the journal International Journal of Emerging Electric Power Systems and the definitive published version is available at https://doi.org/10.1515/ijeeps-2016-0238

ISSN

1553-779X

eISSN

1553-779X

Language

en

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