Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/7797
Title: Intelligent central energy management system for remote community microgrid
Authors: Vosloo, A. 
Raji, Atanda K. 
Keywords: Agent based energy management system;charge reserve share;DC microgrid;distributed generation
Issue Date: 2015
Publisher: IEEE
Source: Vosloo, A. & Raji, A.K . 2015. Intelligent central energy management system for remote community microgrid. (In: 2015 International Conference on the Domestic Use of Energy (DUE), 31 Mar-01 Apr, Cape Town, South Africa). 4 pages. [http://doi.org/10.1109/DUE.2015.7102973]
Conference: 2015 International Conference on the Domestic Use of Energy (DUE) 
Abstract: South Africa's rural communities experience limited electrical power availability; networks are sparse. Electricity suppliers do not cover all national rural regions often major areas of the African continent also suffer. Rural communities need an electrical supply where they reside. The high cost of transporting power remains a limiting factor. Electricity suppliers face difficulty in funding required constant expansion onto a national utility power grid. Communities are often widespread and usually in the most isolated comers of any country. Manpower skills shortages and a lack of infrastructure management and control lead to unresolved power issues. Within microgrids, a limited amount of energy can be stored by designated source holders, such as batteries. Microgrid technologies, constantly under study, are implemented globally via different concept designs. Because of the ever-growing size of such grids and a limited energy absorbing capability of the systems from natural resources, energy management within microgrids is under scrutiny. This study focuses on energy management within a micro grid. Software simulations were made using SimulinkiMatlab/SimPowerSystems. Parameters were adjusted on the grid to observe control reaction. A Stokvel charge share concept was proposed, wherein state of batteries' charges and user consumption determined how grid loads should be controlled.
Description: Conference Proceeding
URI: http://hdl.handle.net/11189/7797
ISBN: 978-0-9922-0419-8
DOI: http://doi.org/10.1109/DUE.2015.7102973
Appears in Collections:Eng - Conference Proceedings

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