Innovative Advances: Crafting an Intelligent Controller for Home Energy Management Systems with Seamless Integration of Renewable Sources

This research proposes an improved energy administration and optimization technique that utilizes fuzzy logic algorithms and incorporates many inputs and outputs (I/O) along with a cost-effective method. This technology is used in the administration of hybrid electric power sources, which include PV cell, turbines (wind), and grid-supportive devices. The novelty of this research lies in the precedence of solar PV, wind turbine, and storage system energy sources above the grid network. The grid network is only used in case of bad weather. This system can supply an average household with up to $\mathbf{4, 0 0 0}$ Wh of energy per day. In addition, by using an electrolyzing system, surplus unconventional energy produced during good weather conditions is used to produce hydrogen, which is well-suited for household cooking and heating purposes. Developing an intelligent economic strategy by using fuzzy technology to bolster improved energy management and optimization methods. The fuzzy logic software at the heart of this system has been written on the Arduino 2560 mega microcontroller. It is responsible for allocating events and considering all possible circumstances. This system has been developed using a flowchart that facilitates hybrid system management. In order to maintain uninterrupted housing, it is advisable to use strategies such as methodologies, a parametric search, and simulations to precisely characterize the system components that provide assistance to the power grid. The effectiveness of the recommended method is confirmed by the display of output directives generated by the electronic switches.