Wu, ZhouTazvinga, HenericaXia, Xiaohua2015-05-292015-05-292015-06Wu, Z, Tazvinga, H & Xia, X 2015, 'Demand side management of photovoltaic-battery hybrid system', Applied Energy , vol. 148, pp. 294-304.0306-2619 (print)1872-9118 (online)10.1016/j.apenergy.2015.03.109http://hdl.handle.net/2263/45349In the electricity market, customers have many choices to reduce electricity cost if they can economically schedule their power consumption. Renewable hybrid system, which can explore solar or wind sources at low cost, is a popular choice for this purpose nowadays. In this paper optimal energy management for a grid-connected photovoltaic-battery hybrid system is proposed to sufficiently explore solar energy and to benefit customers at demand side. The management of power flow aims to minimize electricity cost subject to a number of constraints, such as power balance, solar output and battery capacity. With respect to demand side management, an optimal control method (open loop) is developed to schedule the power flow of hybrid system over 24 h, and model predictive control is used as a closed-loop method to dispatch the power flow in real-time when uncertain disturbances occur. In these two kinds of applications, optimal energy management solutions can be obtained with great cost savings and robust control performance.en© 2015 Elsevier Ltd. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Applied Energy. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Applied Energy, vol.148, pp. 294-304, 2015. doi : 10.1016/j.apenergy.2015.03.109Solar energyRenewable hybrid systemDistributed generationDemand side managementOptimal controlPostprint Article