A novel distributed optimal power sharing method for radial dc microgrids with different distributed energy sources

DC microgrids will be an important part of the future electrical power systems, i.e., smart grids. Similar to the other power systems, one of the important issues of dc microgrids is the fulfillment of the optimal power sharing. In this paper, a practical, modular, robust, highly reliable, autonomou...

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Bibliographic Details
Published inEnergy (Oxford) Vol. 72; pp. 291 - 299
Main Authors Asad, R., Kazemi, A.
Format Journal Article
LanguageEnglish
Published Kidlington Elsevier Ltd 01.08.2014
Elsevier
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Summary:DC microgrids will be an important part of the future electrical power systems, i.e., smart grids. Similar to the other power systems, one of the important issues of dc microgrids is the fulfillment of the optimal power sharing. In this paper, a practical, modular, robust, highly reliable, autonomous, distributed, optimal power sharing method, namely the ODCPS (optimal dc power sharing) method, is proposed for radial dc microgrids with different numbers of distributed energy sources. The presented power sharing method inherently considers the power loss in its optimization process. Furthermore, the ODCPS method necessitates the least telecommunication. Here, to determine the proper amounts of the parameters of the proposed power sharing method, a novel technique calculating the nodal prices in radial dc microgrids is also presented. Although the success of the ODCPS method is demonstrated through the analytical analyses carried out in this paper, finally, the remarkable performance of the proposed power sharing method is described by the simulation results too. •A novel, practical, modular, distributed, optimal power sharing method is proposed.•It is applicable to radial dc microgrids with various distributed energy sources.•Each energy source determines its power share only by sensing its terminal voltage.•The proposed method necessitates the least computations and telecommunications.•It results in the optimal energy management.
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ISSN:0360-5442
DOI:10.1016/j.energy.2014.05.036