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Operation Scheduling of Household Appliances Integrating Solar Photovoltaic and Battery Energy Storage Systems


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DOI: https://doi.org/10.15866/iree.v17i3.21587

Abstract


Demand Side Management (DSM) is one of the most interesting techniques in smart grids that can reduce consumer electricity costs. Many recent works studied on DSM with smart homes discussing how to control optimally electricity consumption in a residential household. However, there is no work studying the optimal control of electricity consumption that simultaneously considers multiple residential households with solar Photovoltaic (PV) and Battery Energy Storage Systems (BESS) installations. Consequently, this study proposes an energy management system model to minimize electricity costs for multiple households with solar PV and BESS installations. The constraints consist of consumer preferences, energy requirements of each appliance, BESS operation and solar PV generation. The proposed model can be described as a linear optimization problem. Mixed Integer Linear Programming (MILP) is used to solve this proposed model. The performance of the proposed model is tested by two different scenarios composed of single household management and multiple households management. From the simulation results, the proposed model can reduce the electricity cost by 59.04% for single household management and 68.81% for multiple households management compared with electricity cost without management.
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Keywords


Energy Management System; Load Scheduling; Mixed Integer Linear Programming; Optimization; Time of Use Rates

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References


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