Energy management systems in residential areas have attracted the attention of many\nresearchers along the deployment of smart grids, smart cities, and smart homes. This paper presents\nthe implementation of a Home Energy Management System (HEMS) based on the fuzzy logic\ncontroller. The objective of the proposed HEMS is to minimize electricity cost by managing the energy\nfrom the photovoltaic (PV) to supply home appliances in the grid-connected PV-battery system.\nA fuzzy logic controller is implemented on a low-cost embedded system to achieve the objective.\nThe fuzzy logic controller is developed by the distributed approach where each home appliance has\nits own fuzzy logic controller. An automatic tuning of the fuzzy membership functions using the\nGenetic Algorithm is developed to improve performance. To exchange data between the controllers,\nwireless communication based on WiFi technology is adopted. The proposed configuration provides\na simple effective technology that can be implemented in residential homes. The experimental results\nshow that the proposed system achieves a fast processing time on a ten-second basis, which is fast\nenough for HEMS implementation. When tested under four different scenarios, the proposed fuzzy\nlogic controller yields an average cost reduction of 10.933% compared to the system without a fuzzy\nlogic controller. Furthermore, by tuning the fuzzy membership functions using the genetic algorithm,\nthe average cost reduction increases to 12.493%.
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