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|Title:||Power demand and supply management in microgrids with uncertainties of renewable energies||Authors:||Wang, Ran
|Keywords:||DRNTU::Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution||Issue Date:||2014||Source:||Wang, R., Wang, P., Xiao, G., & Gong, S. (2014). Power demand and supply management in microgrids with uncertainties of renewable energies. International Journal of Electrical Power & Energy Systems, 63, 260-269.||Series/Report no.:||International journal of electrical power and energy systems||Abstract:||An important task of power demand and supply management in microgrids is to maintain a good match between power generation and consumption at the minimum cost. Since the highly fluctuant renewable energies constitute a significant portion of the power resources in microgrids, the microgrid system central controller (MGCC) faces the challenge of effectively utilizing the renewable energies while fulfilling the requirements of customers. To tackle the problem, a novel power demand and supply management scheme is proposed in this paper, which mainly includes three parts as follows. Firstly, a novel uncertainty model is developed to capture the randomness of renewable energy generation which, by introducing a reference distribution according to past observations and empirical knowledge and defining a distribution uncertainty set to confine the uncertainty of renewable energies, allows the renewable energies to fluctuate around the reference distribution. An optimization problem is then formulated to determine the optimal power consumption and generation scheduling for minimizing the fuel cost. Finally, a two-stage optimization approach is proposed to transform and then solve the prime problem. Numerical results indicate that the proposed scheme helps effectively reduce the energy cost. Detailed studies on the impacts of different factors on the proposed scheme provide some interesting insights which shall be useful for policy making for the future MGCC.||URI:||https://hdl.handle.net/10356/105068
|DOI:||10.1016/j.ijepes.2014.05.067||Rights:||© 2014 Elsevier. This is the author created version of a work that has been peer reviewed and accepted for publication by International Journal of Electrical Power & Energy Systems, Elsevier. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.ijepes.2014.05.067].||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Journal Articles|
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