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This research article represents a method of the intellectual power management optimization that integrates renewable sources with battery backup using fuzzy technique. The developed fuzzy controller monitors the continuous variations of the energy of selected renewable sources and load demand for the energy management systems. Then FLC shifts to provide electricity into the load allows for fuzzy instructions for efficient power supply. Here, the fuzzy rule has been developed from human thinking with the highest priority of renewable energy to electric load in any time of a day. When the load demand is full, the excess power will be charged to the battery. Again, if at any time of the day, the power generation from renewable energy is less, then the stored electricity in the battery will act as a backup system to load. Lastly, if at any time of the day the load demand and the condition of the battery charge are full, even if the renewable energy remains, it is arranged to be given to the dummy load. The system has been built where electricity has not yet been reached. The simulation results show that a properly constructed fuzzy rule can work 24 h a day for any difficult situation where the nonlinear function has been used. The whole system is very environmentally friendly where no harmful gas is emitted.

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