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Intelligent energy management system for PV-battery-based microgrids in future DC homes

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journal contribution
posted on 2016-12-07, 11:10 authored by Rajeev Kumar Chauhan, Bharat Singh Rajpurohit, Francisco Gonzalez-LongattFrancisco Gonzalez-Longatt, Sri Niwas Singh
This paper presents a novel intelligent energy management system (IEMS) for a DC microgrid connected to the public utility (PU), photovoltaic (PV) and multi-battery bank (BB). The control objectives of the proposed IEMS system are: (i) to ensure the load sharing (according to the source capacity) among sources, (ii) to reduce the power loss (high efficient) in the system, and (iii) to enhance the system reliability and power quality. The proposed IEMS is novel because it follows the ideal characteristics of the battery (with some assumptions) for the power sharing and the selection of the closest source to minimize the power losses. The IEMS allows continuous and accurate monitoring with intelligent control of distribution system operations such as battery bank energy storage (BBES) system, PV system and customer utilization of electric power. The proposed IEMS gives the better operational performance for operating conditions in terms of load sharing, loss minimization, and reliability enhancement of the DC microgrid.

Funding

DST-UKIERI Grant/Award Number: “DST-2013-14/053”

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

International Journal of Emerging Electric Power Systems

Volume

17

Issue

3

Pages

339 - 350

Citation

CHAUHAN, R.K. ... et al, 2016. Intelligent energy management system for PV-battery-based microgrids in future DC homes. International Journal of Emerging Electric Power Systems, 17 (3), pp. 339-350.

Publisher

© De Gruyter

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

2016-04-01

Publication date

2016-04-23

Notes

This paper was accepted for publication in the journal International Journal of Emerging Electric Power Systems and the definitive published version is http://dx.doi.org/10.1515/ijeeps-2015-0210available at

ISSN

2194-5756

eISSN

1553-779X

Language

  • en