Optimising energy storage for domestic household with PV to support the grid

Author(s): Haitong Zhang, Dave Stone, Dan Gladwin
Department of Electrical and Electronics Engineering, The University of Sheffield, Sheffield, United Kingdom
International Journal of Smart Grid and Clean Energy, vol. 9, no. 5, September 2020: pp. 827-842
ISSN: 2315-4462 (Print)
ISSN: 2373-3594 (Online)
Digital Object Identifier: 10.12720/sgce.9.5.827-842

Abstract: In this paper, load profile modelling is introduced as the basis of the research, and a practical photovoltaic (PV) profile for a typical UK household with 4kW solar system is presented to couple with the load. An evaluation on the combined profile throughout a year is done to size the required battery, and a smart domestic energy storage system is developed to integrate the domestic energy storage facility with the renewable energy generation system, in order to create a win-win situation for customers and grid. By using PV as an alternative energy resource to power the home appliances, the system can reduce the dependence of household on grid, it can reduce the stress on the grid by managing the loads and exporting excess energy back to grid to balance peak demand. Also it can cut the electricity bill for customers and make profit by selling electricity to grid. Moreover, the electricity tariff is considered in this study for system validation. The payback period of the system is evaluated against different sizes of PV-battery setups.

Keywords: Solar power, Renewable energy, Energy storage and management, Smart grid, PV, Optimisation
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