Demand side management of photovoltaic-battery hybrid system

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Authors

Wu, Zhou
Tazvinga, Henerica
Xia, Xiaohua

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

Abstract

In 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.

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Keywords

Solar energy, Renewable hybrid system, Distributed generation, Demand side management, Optimal control

Sustainable Development Goals

Citation

Wu, Z, Tazvinga, H & Xia, X 2015, 'Demand side management of photovoltaic-battery hybrid system', Applied Energy , vol. 148, pp. 294-304.