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Optimal Power Flow of a Battery/Wind/PV/Grid Hybrid System: Case of South Africa

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dc.date.accessioned 2018-10-18T08:09:32Z
dc.date.available 2018-10-18T08:09:32Z
dc.date.issued 2017
dc.identifier.uri http://hdl.handle.net/11462/1686
dc.description Book Chapter en_US
dc.description.abstract Photovoltaic and wind systems have been demonstrated to be sustainable alternatives of producing electricity in rural electrification, particularly in islanded applications. Currently, the advancement of research in the area of power electronics has allowed the connection of these renewable resources to the grid with bidirectional power flow. In this work, the optimal power scheduling for a grid-connected photovoltaic–wind–battery hybrid system is proposed to maximize the use of solar and wind resources to assist customers at demand side. The developed model for the hybrid system’s optimal power flow management aims to minimize electricity purchased from the grid while maximizing the energy sold to the grid as well as the production of the renewable sources subject to the power balance, photovoltaic, wind, and battery storage outputs as well as other operational constraints. Relating to demand-side management, a control technique is developed to optimally schedule the power flow from the different components of the hybrid system over 24-h horizon. Simulations are performed using MATLAB, and the results demonstrate that operating the proposed hybrid system under the developed optimal energy management model can reduce the operation cost and allow consumers to generate substantial income by selling power to the grid. en_US
dc.format.extent 239 900 bytes, 1 file
dc.format.mimetype Application/PDF
dc.language.iso en_US en_US
dc.publisher Springer International Publishing AG: Smart Energy Grid Design for Island Countries en_US
dc.subject Photovoltaic energy en_US
dc.subject Wind en_US
dc.subject Hybrid system en_US
dc.subject Optimal scheduling en_US
dc.title Optimal Power Flow of a Battery/Wind/PV/Grid Hybrid System: Case of South Africa en_US
dc.type Book chapter en_US

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