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Intelligent energy management system for PV-battery-based microgrids in future DC homes
journal contribution
posted on 2016-12-07, 11:10 authored by Rajeev Kumar Chauhan, Bharat Singh Rajpurohit, Francisco Gonzalez-LongattFrancisco Gonzalez-Longatt, Sri Niwas SinghThis 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 SystemsVolume
17Issue
3Pages
339 - 350Citation
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 GruyterVersion
- 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
2016-04-01Publication date
2016-04-23Notes
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 atISSN
2194-5756eISSN
1553-779XPublisher version
Language
- en